2025-08-26T19:46:35.6781422Z Current runner version: '2.328.0' 2025-08-26T19:46:35.6788364Z Runner name: 'i-0267e2d938a1efbdc' 2025-08-26T19:46:35.6789325Z Runner group name: 'Default' 2025-08-26T19:46:35.6790302Z Machine name: 'ip-10-1-43-215' 2025-08-26T19:46:35.6793211Z ##[group]GITHUB_TOKEN Permissions 2025-08-26T19:46:35.6795890Z Contents: read 2025-08-26T19:46:35.6796483Z Metadata: read 2025-08-26T19:46:35.6797036Z ##[endgroup] 2025-08-26T19:46:35.6799786Z Secret source: Actions 2025-08-26T19:46:35.6800767Z Prepare workflow directory 2025-08-26T19:46:35.7351542Z Prepare all required actions 2025-08-26T19:46:35.7395254Z Getting action download info 2025-08-26T19:46:36.0427335Z Download action repository 'pytorch/test-infra@main' (SHA:0192d56cb596bb73b125bd368553908cc5c513f0) 2025-08-26T19:46:37.3969506Z Download action repository 'pytorch/pytorch@main' (SHA:77bc959fe122bfd131e339ca36cab445a1860806) 2025-08-26T19:46:50.7445709Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-26T19:46:51.0811470Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-26T19:46:51.2622648Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-26T19:46:51.4503063Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-26T19:46:51.7570713Z Getting action download info 2025-08-26T19:46:51.8754664Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-26T19:46:52.1348838Z Getting action download info 2025-08-26T19:46:52.2455839Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-26T19:46:52.4341475Z Getting action download info 2025-08-26T19:46:52.5386004Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-26T19:46:52.7068966Z Getting action download info 2025-08-26T19:46:52.8553105Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (262640fd220236042fbf4443cc163c8838c84c3d) 2025-08-26T19:46:52.8557836Z ##[group] Inputs 2025-08-26T19:46:52.8558239Z build-environment: linux-jammy-py3.9-clang12 2025-08-26T19:46:52.8561446Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]} 2025-08-26T19:46:52.8565017Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:46:52.8565836Z sync-tag: 2025-08-26T19:46:52.8566706Z timeout-minutes: 240 2025-08-26T19:46:52.8566975Z use-gha: 2025-08-26T19:46:52.8567191Z dashboard-tag: 2025-08-26T19:46:52.8567453Z s3-bucket: gha-artifacts 2025-08-26T19:46:52.8567843Z aws-role-to-assume: 2025-08-26T19:46:52.8568461Z disable-monitor: false 2025-08-26T19:46:52.8569097Z monitor-log-interval: 5 2025-08-26T19:46:52.8569530Z monitor-data-collect-interval: 1 2025-08-26T19:46:52.8569873Z ##[endgroup] 2025-08-26T19:46:52.8570330Z Complete job name: linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) 2025-08-26T19:46:52.9063128Z A job started hook has been configured by the self-hosted runner administrator 2025-08-26T19:46:52.9171407Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-26T19:46:52.9181457Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:46:52.9182148Z ##[endgroup] 2025-08-26T19:46:54.2282887Z Runner Type: lf.linux.2xlarge 2025-08-26T19:46:54.2283418Z Instance Type: c5.2xlarge 2025-08-26T19:46:54.2283699Z AMI Name: unknown 2025-08-26T19:46:54.2308346Z AMI ID: ami-05ffe3c48a9991133 2025-08-26T19:46:59.9308733Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-26T19:46:59.9309212Z with: 2025-08-26T19:46:59.9309836Z github-secret: *** 2025-08-26T19:46:59.9310808Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-26T19:46:59.9311629Z activate-with-label: false 2025-08-26T19:46:59.9311913Z label: with-ssh 2025-08-26T19:46:59.9312178Z remove-existing-keys: true 2025-08-26T19:46:59.9312465Z fail-silently: true 2025-08-26T19:46:59.9312730Z env: 2025-08-26T19:46:59.9312933Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:46:59.9313212Z ##[endgroup] 2025-08-26T19:47:00.0476989Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-26T19:47:00.0478527Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-26T19:47:00.0623548Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-26T19:47:00.0624009Z with: 2025-08-26T19:47:00.0624218Z no-sudo: true 2025-08-26T19:47:00.0624465Z submodules: recursive 2025-08-26T19:47:00.0624737Z fetch-depth: 0 2025-08-26T19:47:00.0624954Z env: 2025-08-26T19:47:00.0625193Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:47:00.0625460Z ##[endgroup] 2025-08-26T19:47:00.0710779Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T19:47:00.0711802Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T19:47:00.0721117Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:47:00.0721519Z env: 2025-08-26T19:47:00.0721771Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:47:00.0722083Z ##[endgroup] 2025-08-26T19:47:00.0814974Z ##[group]Run # Use all available CPUs for fetching 2025-08-26T19:47:00.0815440Z # Use all available CPUs for fetching 2025-08-26T19:47:00.0815806Z cd "${GITHUB_WORKSPACE}" 2025-08-26T19:47:00.0816145Z git config --global fetch.parallel 0 2025-08-26T19:47:00.0816554Z git config --global submodule.fetchJobs 0 2025-08-26T19:47:00.0816923Z  2025-08-26T19:47:00.0817375Z # Clean workspace. The default checkout action should also do this, but 2025-08-26T19:47:00.0817890Z # do it here as well just in case 2025-08-26T19:47:00.0818208Z if [[ -d .git ]]; then 2025-08-26T19:47:00.0818512Z  if [ -z "${NO_SUDO}" ]; then 2025-08-26T19:47:00.0818837Z  sudo git clean -ffdx 2025-08-26T19:47:00.0819129Z  else 2025-08-26T19:47:00.0819360Z  git clean -ffdx 2025-08-26T19:47:00.0819634Z  fi 2025-08-26T19:47:00.0819852Z fi 2025-08-26T19:47:00.0825380Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:47:00.0825762Z env: 2025-08-26T19:47:00.0825986Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:47:00.0826254Z NO_SUDO: true 2025-08-26T19:47:00.0826486Z ##[endgroup] 2025-08-26T19:47:00.0976992Z ##[group]Run actions/checkout@v4 2025-08-26T19:47:00.0977331Z with: 2025-08-26T19:47:00.0977591Z ref: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:47:00.0978121Z fetch-depth: 0 2025-08-26T19:47:00.0978362Z submodules: recursive 2025-08-26T19:47:00.0978639Z show-progress: false 2025-08-26T19:47:00.0978921Z repository: pytorch/pytorch 2025-08-26T19:47:00.0979377Z token: *** 2025-08-26T19:47:00.0979610Z ssh-strict: true 2025-08-26T19:47:00.0979842Z ssh-user: git 2025-08-26T19:47:00.0980095Z persist-credentials: true 2025-08-26T19:47:00.0980376Z clean: true 2025-08-26T19:47:00.0980617Z sparse-checkout-cone-mode: true 2025-08-26T19:47:00.0980921Z fetch-tags: false 2025-08-26T19:47:00.0981159Z lfs: false 2025-08-26T19:47:00.0981396Z set-safe-directory: true 2025-08-26T19:47:00.0981659Z env: 2025-08-26T19:47:00.0981877Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:47:00.0982142Z ##[endgroup] 2025-08-26T19:47:00.2082052Z Syncing repository: pytorch/pytorch 2025-08-26T19:47:00.2083524Z ##[group]Getting Git version info 2025-08-26T19:47:00.2084032Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-26T19:47:00.2084751Z [command]/usr/bin/git version 2025-08-26T19:47:00.2085047Z git version 2.47.1 2025-08-26T19:47:00.2092891Z ##[endgroup] 2025-08-26T19:47:00.2102724Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/64d26724-2363-4860-a4bb-266d384f04f7/.gitconfig' 2025-08-26T19:47:00.2120514Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/64d26724-2363-4860-a4bb-266d384f04f7' before making global git config changes 2025-08-26T19:47:00.2121551Z Adding repository directory to the temporary git global config as a safe directory 2025-08-26T19:47:00.2125461Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-26T19:47:00.2158279Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-26T19:47:00.2160858Z ##[group]Initializing the repository 2025-08-26T19:47:00.2164741Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-26T19:47:00.2193386Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-26T19:47:00.2194171Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-26T19:47:00.2195153Z hint: of your new repositories, which will suppress this warning, call: 2025-08-26T19:47:00.2195607Z hint: 2025-08-26T19:47:00.2195924Z hint: git config --global init.defaultBranch 2025-08-26T19:47:00.2196291Z hint: 2025-08-26T19:47:00.2196640Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-26T19:47:00.2197248Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-26T19:47:00.2197699Z hint: 2025-08-26T19:47:00.2197954Z hint: git branch -m 2025-08-26T19:47:00.2198896Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-26T19:47:00.2202709Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-26T19:47:00.2227632Z ##[endgroup] 2025-08-26T19:47:00.2228117Z ##[group]Disabling automatic garbage collection 2025-08-26T19:47:00.2230629Z [command]/usr/bin/git config --local gc.auto 0 2025-08-26T19:47:00.2254313Z ##[endgroup] 2025-08-26T19:47:00.2254724Z ##[group]Setting up auth 2025-08-26T19:47:00.2260465Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-26T19:47:00.2284156Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-08-26T19:47:00.2555370Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-26T19:47:00.2580455Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-08-26T19:47:00.2829664Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-26T19:47:00.2869760Z ##[endgroup] 2025-08-26T19:47:00.2870215Z ##[group]Fetching the repository 2025-08-26T19:47:00.2877586Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-26T19:47:54.1987449Z From https://github.com/pytorch/pytorch 2025-08-26T19:47:54.1987997Z * [new branch] 160583 -> origin/160583 2025-08-26T19:47:54.1988519Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-26T19:47:54.1989237Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-26T19:47:54.1989873Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-26T19:47:54.1990694Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-26T19:47:54.1991311Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-08-26T19:47:54.1992099Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-26T19:47:54.1992881Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-26T19:47:54.1993704Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-26T19:47:54.1994907Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-26T19:47:54.1995969Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-26T19:47:54.1996616Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-26T19:47:54.1997462Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-26T19:47:54.1998391Z * [new branch] VLA_exp -> origin/VLA_exp 2025-08-26T19:47:54.1999576Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-26T19:47:54.2000765Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-26T19:47:54.2002282Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-26T19:47:54.2003177Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-08-26T19:47:54.2004222Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-26T19:47:54.2005368Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-26T19:47:54.2006443Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-26T19:47:54.2007554Z * [new branch] addsimde -> origin/addsimde 2025-08-26T19:47:54.2009212Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-26T19:47:54.2010213Z * [new branch] adi/test -> origin/adi/test 2025-08-26T19:47:54.2011464Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-26T19:47:54.2012313Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-26T19:47:54.2013404Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-26T19:47:54.2015207Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-26T19:47:54.2016216Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-26T19:47:54.2017930Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-26T19:47:54.2020140Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-26T19:47:54.2021560Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-26T19:47:54.2022872Z * [new branch] alt-disable -> origin/alt-disable 2025-08-26T19:47:54.2024981Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-26T19:47:54.2026232Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-26T19:47:54.2027849Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-26T19:47:54.2028963Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-26T19:47:54.2030578Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-26T19:47:54.2032317Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-26T19:47:54.2033732Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-26T19:47:54.2035510Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-26T19:47:54.2036869Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-26T19:47:54.2038428Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-08-26T19:47:54.2039757Z * [new branch] angelayi/logging.bak -> origin/angelayi/logging.bak 2025-08-26T19:47:54.2041157Z * [new branch] angelayi/logging2 -> origin/angelayi/logging2 2025-08-26T19:47:54.2042703Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-08-26T19:47:54.2043960Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-08-26T19:47:54.2045356Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-08-26T19:47:54.2046744Z * [new branch] angelayi/save_error -> origin/angelayi/save_error 2025-08-26T19:47:54.2048282Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-08-26T19:47:54.2049717Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-08-26T19:47:54.2051166Z * [new branch] angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta 2025-08-26T19:47:54.2052524Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 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* [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-08-26T19:47:54.8703024Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-08-26T19:47:54.8704704Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-08-26T19:47:54.8705921Z * [new branch] zxiiro/test -> origin/zxiiro/test 2025-08-26T19:47:54.8707317Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-08-26T19:47:54.8708271Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-08-26T19:47:54.8709578Z * [new tag] ciflow/binaries/153920 -> ciflow/binaries/153920 2025-08-26T19:47:54.8710477Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-26T19:47:54.8711538Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-08-26T19:47:54.8712468Z * [new tag] ciflow/binaries/160853 -> ciflow/binaries/160853 2025-08-26T19:47:54.8713387Z * [new tag] ciflow/binaries/161257 -> ciflow/binaries/161257 2025-08-26T19:47:54.8714414Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-26T19:47:54.8715465Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-26T19:47:54.8716417Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-26T19:47:54.8717459Z * [new tag] ciflow/binaries_wheel/160207 -> ciflow/binaries_wheel/160207 2025-08-26T19:47:54.8718538Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-26T19:47:54.8719287Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-26T19:47:54.8720072Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-26T19:47:54.8721290Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-26T19:47:54.8722049Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-26T19:47:54.8722865Z * [new tag] ciflow/h100-symm-mem/160825 -> ciflow/h100-symm-mem/160825 2025-08-26T19:47:54.8723648Z * [new tag] ciflow/h100-symm-mem/161008 -> ciflow/h100-symm-mem/161008 2025-08-26T19:47:54.8724546Z * [new tag] ciflow/h100-symm-mem/161090 -> ciflow/h100-symm-mem/161090 2025-08-26T19:47:54.8725278Z * [new tag] ciflow/h100-symm-mem/161214 -> ciflow/h100-symm-mem/161214 2025-08-26T19:47:54.8726148Z * [new tag] ciflow/h100-symm-mem/161217 -> ciflow/h100-symm-mem/161217 2025-08-26T19:47:54.8726905Z * [new tag] ciflow/h100-symm-mem/161232 -> ciflow/h100-symm-mem/161232 2025-08-26T19:47:54.8728346Z * [new tag] ciflow/h100-symm-mem/161257 -> ciflow/h100-symm-mem/161257 2025-08-26T19:47:54.8729363Z * [new tag] ciflow/h100-symm-mem/161309 -> ciflow/h100-symm-mem/161309 2025-08-26T19:47:54.8730359Z * [new tag] ciflow/h100-symm-mem/161470 -> ciflow/h100-symm-mem/161470 2025-08-26T19:47:54.8731241Z * [new tag] ciflow/h100-symm-mem/161471 -> ciflow/h100-symm-mem/161471 2025-08-26T19:47:54.8732430Z * [new tag] ciflow/h100-symm-mem/161532 -> ciflow/h100-symm-mem/161532 2025-08-26T19:47:54.8732931Z * [new tag] ciflow/h100-symm-mem/161533 -> ciflow/h100-symm-mem/161533 2025-08-26T19:47:54.8733944Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-26T19:47:54.8734660Z * [new tag] ciflow/h100/161225 -> ciflow/h100/161225 2025-08-26T19:47:54.8735991Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-26T19:47:54.8736913Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/161512 -> ciflow/inductor-perf-test-nightly-x86-zen/161512 2025-08-26T19:47:54.8738219Z * [new tag] ciflow/inductor-periodic/158137 -> ciflow/inductor-periodic/158137 2025-08-26T19:47:54.8738963Z * [new tag] ciflow/inductor-periodic/160807 -> ciflow/inductor-periodic/160807 2025-08-26T19:47:54.8740079Z * [new tag] ciflow/inductor-periodic/161461 -> ciflow/inductor-periodic/161461 2025-08-26T19:47:54.8741279Z * [new tag] ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 2025-08-26T19:47:54.8742748Z * [new tag] ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed -> ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed 2025-08-26T19:47:54.8744068Z * [new tag] ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073 -> ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073 2025-08-26T19:47:54.8744618Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-26T19:47:54.8745428Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-26T19:47:54.8746603Z * [new tag] ciflow/inductor-rocm/160671 -> ciflow/inductor-rocm/160671 2025-08-26T19:47:54.8747468Z * [new tag] ciflow/inductor-rocm/161180 -> ciflow/inductor-rocm/161180 2025-08-26T19:47:54.8748268Z * [new tag] ciflow/inductor-rocm/161225 -> ciflow/inductor-rocm/161225 2025-08-26T19:47:54.8749412Z * [new tag] ciflow/inductor-rocm/161521 -> ciflow/inductor-rocm/161521 2025-08-26T19:47:54.8750574Z * [new tag] ciflow/inductor-windows/160406 -> ciflow/inductor-windows/160406 2025-08-26T19:47:54.8751526Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-26T19:47:54.8752262Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-26T19:47:54.8753124Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-26T19:47:54.8753883Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-26T19:47:54.8754880Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-26T19:47:54.8755526Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-26T19:47:54.8756446Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-26T19:47:54.8757186Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-26T19:47:54.8758305Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-26T19:47:54.8758772Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-26T19:47:54.8759762Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-26T19:47:54.8760817Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-26T19:47:54.8761931Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-26T19:47:54.8762994Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-26T19:47:54.8764185Z * [new tag] ciflow/inductor/156875 -> ciflow/inductor/156875 2025-08-26T19:47:54.8765057Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-26T19:47:54.8765842Z * [new tag] ciflow/inductor/157298 -> ciflow/inductor/157298 2025-08-26T19:47:54.8766715Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-26T19:47:54.8767832Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-26T19:47:54.8768934Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-26T19:47:54.8769647Z * [new tag] ciflow/inductor/157767 -> ciflow/inductor/157767 2025-08-26T19:47:54.8770621Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-26T19:47:54.8771375Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-26T19:47:54.8772361Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-26T19:47:54.8773087Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-26T19:47:54.8774072Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-26T19:47:54.8774812Z * [new tag] ciflow/inductor/158137 -> ciflow/inductor/158137 2025-08-26T19:47:54.8775785Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-26T19:47:54.8776517Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-26T19:47:54.8777641Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-26T19:47:54.8778520Z * [new tag] ciflow/inductor/159003 -> ciflow/inductor/159003 2025-08-26T19:47:54.8779378Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-26T19:47:54.8780917Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-26T19:47:54.8781660Z * [new tag] ciflow/inductor/159387 -> ciflow/inductor/159387 2025-08-26T19:47:54.8782770Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-26T19:47:54.8783528Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-08-26T19:47:54.8784656Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-26T19:47:54.8785412Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-08-26T19:47:54.8786342Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-26T19:47:54.8787361Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-26T19:47:54.8788358Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-26T19:47:54.8789116Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-26T19:47:54.8790274Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-26T19:47:54.8791041Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-26T19:47:54.8792134Z * [new tag] ciflow/inductor/160180 -> ciflow/inductor/160180 2025-08-26T19:47:54.8793129Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-26T19:47:54.8794206Z * [new tag] ciflow/inductor/160258 -> ciflow/inductor/160258 2025-08-26T19:47:54.8794955Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-26T19:47:54.8795938Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-26T19:47:54.8796973Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-26T19:47:54.8798214Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-26T19:47:54.8799268Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-26T19:47:54.8800305Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-26T19:47:54.8801207Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-26T19:47:54.8802167Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-26T19:47:54.8803191Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-26T19:47:54.8804292Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-26T19:47:54.8805035Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-26T19:47:54.8805984Z * [new tag] ciflow/inductor/160449 -> ciflow/inductor/160449 2025-08-26T19:47:54.8806851Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-26T19:47:54.8807681Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-26T19:47:54.8808654Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-26T19:47:54.8809585Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-26T19:47:54.8810872Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-08-26T19:47:54.8812540Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-26T19:47:54.8813325Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-26T19:47:54.8814242Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-26T19:47:54.8815163Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-26T19:47:54.8815934Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-26T19:47:54.8816868Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-26T19:47:54.8817597Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-26T19:47:54.8818699Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-26T19:47:54.8819634Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-08-26T19:47:54.8820381Z * [new tag] ciflow/inductor/160763 -> ciflow/inductor/160763 2025-08-26T19:47:54.8821350Z * [new tag] ciflow/inductor/160772 -> ciflow/inductor/160772 2025-08-26T19:47:54.8822313Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-08-26T19:47:54.8823187Z * [new tag] ciflow/inductor/160807 -> ciflow/inductor/160807 2025-08-26T19:47:54.8824172Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-08-26T19:47:54.8825074Z * [new tag] ciflow/inductor/160861 -> ciflow/inductor/160861 2025-08-26T19:47:54.8825815Z * [new tag] ciflow/inductor/160883 -> ciflow/inductor/160883 2025-08-26T19:47:54.8826773Z * [new tag] ciflow/inductor/160888 -> ciflow/inductor/160888 2025-08-26T19:47:54.8827515Z * [new tag] ciflow/inductor/160903 -> ciflow/inductor/160903 2025-08-26T19:47:54.8828639Z * [new tag] ciflow/inductor/160913 -> ciflow/inductor/160913 2025-08-26T19:47:54.8829465Z * [new tag] ciflow/inductor/160941 -> ciflow/inductor/160941 2025-08-26T19:47:54.8830217Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-08-26T19:47:54.8831165Z * [new tag] ciflow/inductor/160991 -> ciflow/inductor/160991 2025-08-26T19:47:54.8832318Z * [new tag] ciflow/inductor/160997 -> ciflow/inductor/160997 2025-08-26T19:47:54.8833184Z * [new tag] ciflow/inductor/161003 -> ciflow/inductor/161003 2025-08-26T19:47:54.8833930Z * [new tag] ciflow/inductor/161026 -> ciflow/inductor/161026 2025-08-26T19:47:54.8834869Z * [new tag] ciflow/inductor/161032 -> ciflow/inductor/161032 2025-08-26T19:47:54.8835998Z * [new tag] ciflow/inductor/161040 -> ciflow/inductor/161040 2025-08-26T19:47:54.8836722Z * [new tag] ciflow/inductor/161055 -> ciflow/inductor/161055 2025-08-26T19:47:54.8837636Z * [new tag] ciflow/inductor/161062 -> ciflow/inductor/161062 2025-08-26T19:47:54.8838491Z * [new tag] ciflow/inductor/161069 -> ciflow/inductor/161069 2025-08-26T19:47:54.8839388Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-08-26T19:47:54.8840132Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-08-26T19:47:54.8841513Z * [new tag] ciflow/inductor/161097 -> ciflow/inductor/161097 2025-08-26T19:47:54.8842369Z * [new tag] ciflow/inductor/161098 -> ciflow/inductor/161098 2025-08-26T19:47:54.8843246Z * [new tag] ciflow/inductor/161100 -> ciflow/inductor/161100 2025-08-26T19:47:54.8844214Z * [new tag] ciflow/inductor/161107 -> ciflow/inductor/161107 2025-08-26T19:47:54.8845450Z * [new tag] ciflow/inductor/161110 -> ciflow/inductor/161110 2025-08-26T19:47:54.8846207Z * [new tag] ciflow/inductor/161117 -> ciflow/inductor/161117 2025-08-26T19:47:54.8847163Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-08-26T19:47:54.8848280Z * [new tag] ciflow/inductor/161123 -> ciflow/inductor/161123 2025-08-26T19:47:54.8849045Z * [new tag] ciflow/inductor/161124 -> ciflow/inductor/161124 2025-08-26T19:47:54.8849879Z * [new tag] ciflow/inductor/161125 -> ciflow/inductor/161125 2025-08-26T19:47:54.8851075Z * [new tag] ciflow/inductor/161126 -> ciflow/inductor/161126 2025-08-26T19:47:54.8852125Z * [new tag] ciflow/inductor/161144 -> ciflow/inductor/161144 2025-08-26T19:47:54.8853134Z * [new tag] ciflow/inductor/161148 -> ciflow/inductor/161148 2025-08-26T19:47:54.8854007Z * [new tag] ciflow/inductor/161158 -> ciflow/inductor/161158 2025-08-26T19:47:54.8855073Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-08-26T19:47:54.8855940Z * [new tag] ciflow/inductor/161190 -> ciflow/inductor/161190 2025-08-26T19:47:54.8856792Z * [new tag] ciflow/inductor/161208 -> ciflow/inductor/161208 2025-08-26T19:47:54.8857669Z * [new tag] ciflow/inductor/161225 -> ciflow/inductor/161225 2025-08-26T19:47:54.8858716Z * [new tag] ciflow/inductor/161229 -> ciflow/inductor/161229 2025-08-26T19:47:54.8859723Z * [new tag] ciflow/inductor/161237 -> ciflow/inductor/161237 2025-08-26T19:47:54.8860471Z * [new tag] ciflow/inductor/161241 -> ciflow/inductor/161241 2025-08-26T19:47:54.8861509Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-08-26T19:47:54.8862526Z * [new tag] ciflow/inductor/161274 -> ciflow/inductor/161274 2025-08-26T19:47:54.8863572Z * [new tag] ciflow/inductor/161278 -> ciflow/inductor/161278 2025-08-26T19:47:54.8864547Z * [new tag] ciflow/inductor/161279 -> ciflow/inductor/161279 2025-08-26T19:47:54.8865290Z * [new tag] ciflow/inductor/161288 -> ciflow/inductor/161288 2025-08-26T19:47:54.8866420Z * [new tag] ciflow/inductor/161314 -> ciflow/inductor/161314 2025-08-26T19:47:54.8867300Z * [new tag] ciflow/inductor/161320 -> ciflow/inductor/161320 2025-08-26T19:47:54.8868044Z * [new tag] ciflow/inductor/161336 -> ciflow/inductor/161336 2025-08-26T19:47:54.8868948Z * [new tag] ciflow/inductor/161337 -> ciflow/inductor/161337 2025-08-26T19:47:54.8869847Z * [new tag] ciflow/inductor/161338 -> ciflow/inductor/161338 2025-08-26T19:47:54.8870594Z * [new tag] ciflow/inductor/161339 -> ciflow/inductor/161339 2025-08-26T19:47:54.8871536Z * [new tag] ciflow/inductor/161340 -> ciflow/inductor/161340 2025-08-26T19:47:54.8872429Z * [new tag] ciflow/inductor/161341 -> ciflow/inductor/161341 2025-08-26T19:47:54.8873291Z * [new tag] ciflow/inductor/161342 -> ciflow/inductor/161342 2025-08-26T19:47:54.8874165Z * [new tag] ciflow/inductor/161343 -> ciflow/inductor/161343 2025-08-26T19:47:54.8875028Z * [new tag] ciflow/inductor/161344 -> ciflow/inductor/161344 2025-08-26T19:47:54.8875786Z * [new tag] ciflow/inductor/161345 -> ciflow/inductor/161345 2025-08-26T19:47:54.8876731Z * [new tag] ciflow/inductor/161346 -> ciflow/inductor/161346 2025-08-26T19:47:54.8877597Z * [new tag] ciflow/inductor/161347 -> ciflow/inductor/161347 2025-08-26T19:47:54.8878346Z * [new tag] ciflow/inductor/161348 -> ciflow/inductor/161348 2025-08-26T19:47:54.8879334Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-08-26T19:47:54.8880178Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-08-26T19:47:54.8881045Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-08-26T19:47:54.8881933Z * [new tag] ciflow/inductor/161353 -> ciflow/inductor/161353 2025-08-26T19:47:54.8882726Z * [new tag] ciflow/inductor/161354 -> ciflow/inductor/161354 2025-08-26T19:47:54.8883667Z * [new tag] ciflow/inductor/161355 -> ciflow/inductor/161355 2025-08-26T19:47:54.8884512Z * [new tag] ciflow/inductor/161362 -> ciflow/inductor/161362 2025-08-26T19:47:54.8885380Z * [new tag] ciflow/inductor/161363 -> ciflow/inductor/161363 2025-08-26T19:47:54.8886242Z * [new tag] ciflow/inductor/161382 -> ciflow/inductor/161382 2025-08-26T19:47:54.8887159Z * [new tag] ciflow/inductor/161383 -> ciflow/inductor/161383 2025-08-26T19:47:54.8888176Z * [new tag] ciflow/inductor/161385 -> ciflow/inductor/161385 2025-08-26T19:47:54.8888936Z * [new tag] ciflow/inductor/161396 -> ciflow/inductor/161396 2025-08-26T19:47:54.8890080Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-08-26T19:47:54.8890846Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-08-26T19:47:54.8891806Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-08-26T19:47:54.8892545Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-08-26T19:47:54.8893757Z * [new tag] ciflow/inductor/161409 -> ciflow/inductor/161409 2025-08-26T19:47:54.8894759Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-08-26T19:47:54.8895616Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-08-26T19:47:54.8896432Z * [new tag] ciflow/inductor/161416 -> ciflow/inductor/161416 2025-08-26T19:47:54.8897382Z * [new tag] ciflow/inductor/161420 -> ciflow/inductor/161420 2025-08-26T19:47:54.8898315Z * [new tag] ciflow/inductor/161431 -> ciflow/inductor/161431 2025-08-26T19:47:54.8899008Z * [new tag] ciflow/inductor/161435 -> ciflow/inductor/161435 2025-08-26T19:47:54.8900517Z * [new tag] ciflow/inductor/161440 -> ciflow/inductor/161440 2025-08-26T19:47:54.8901415Z * [new tag] ciflow/inductor/161447 -> ciflow/inductor/161447 2025-08-26T19:47:54.8902160Z * [new tag] ciflow/inductor/161452 -> ciflow/inductor/161452 2025-08-26T19:47:54.8903248Z * [new tag] ciflow/inductor/161453 -> ciflow/inductor/161453 2025-08-26T19:47:54.8904118Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-08-26T19:47:54.8904969Z * [new tag] ciflow/inductor/161461 -> ciflow/inductor/161461 2025-08-26T19:47:54.8905861Z * [new tag] ciflow/inductor/161464 -> ciflow/inductor/161464 2025-08-26T19:47:54.8906608Z * [new tag] ciflow/inductor/161466 -> ciflow/inductor/161466 2025-08-26T19:47:54.8907573Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-08-26T19:47:54.8908429Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-08-26T19:47:54.8909287Z * [new tag] ciflow/inductor/161474 -> ciflow/inductor/161474 2025-08-26T19:47:54.8910037Z * [new tag] ciflow/inductor/161477 -> ciflow/inductor/161477 2025-08-26T19:47:54.8913581Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-08-26T19:47:54.8914294Z * [new tag] ciflow/inductor/161486 -> ciflow/inductor/161486 2025-08-26T19:47:54.8915235Z * [new tag] ciflow/inductor/161487 -> ciflow/inductor/161487 2025-08-26T19:47:54.8916193Z * [new tag] ciflow/inductor/161495 -> ciflow/inductor/161495 2025-08-26T19:47:54.8917154Z * [new tag] ciflow/inductor/161497 -> ciflow/inductor/161497 2025-08-26T19:47:54.8918069Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-08-26T19:47:54.8918881Z * [new tag] ciflow/inductor/161512 -> ciflow/inductor/161512 2025-08-26T19:47:54.8919851Z * [new tag] ciflow/inductor/161521 -> ciflow/inductor/161521 2025-08-26T19:47:54.8920563Z * [new tag] ciflow/inductor/161526 -> ciflow/inductor/161526 2025-08-26T19:47:54.8921551Z * [new tag] ciflow/inductor/161530 -> ciflow/inductor/161530 2025-08-26T19:47:54.8922634Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-26T19:47:54.8923667Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-26T19:47:54.8924709Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-26T19:47:54.8925756Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-26T19:47:54.8926512Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-26T19:47:54.8927747Z * [new tag] ciflow/linux-aarch64/160080 -> ciflow/linux-aarch64/160080 2025-08-26T19:47:54.8928528Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-26T19:47:54.8929302Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-26T19:47:54.8930241Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-26T19:47:54.8931123Z * [new tag] ciflow/mps/160839 -> ciflow/mps/160839 2025-08-26T19:47:54.8931877Z * [new tag] ciflow/mps/161511 -> ciflow/mps/161511 2025-08-26T19:47:54.8933157Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-26T19:47:54.8934065Z * [new tag] ciflow/periodic-rocm-mi300/161180 -> ciflow/periodic-rocm-mi300/161180 2025-08-26T19:47:54.8935228Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-26T19:47:54.8936569Z * [new tag] ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 2025-08-26T19:47:54.8937092Z * [new tag] ciflow/periodic/156491 -> ciflow/periodic/156491 2025-08-26T19:47:54.8938123Z * [new tag] ciflow/periodic/161013 -> ciflow/periodic/161013 2025-08-26T19:47:54.8939160Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-26T19:47:54.8940140Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-26T19:47:54.8941027Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-26T19:47:54.8942078Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-26T19:47:54.8943512Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-26T19:47:54.8945127Z * [new tag] ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 2025-08-26T19:47:54.8946171Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-26T19:47:54.8947176Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-26T19:47:54.8948143Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-26T19:47:54.8949237Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-26T19:47:54.8950405Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-26T19:47:54.8951511Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-26T19:47:54.8952490Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-26T19:47:54.8953412Z * [new tag] ciflow/rocm-mi300/161040 -> ciflow/rocm-mi300/161040 2025-08-26T19:47:54.8954085Z * [new tag] ciflow/rocm-mi300/161180 -> ciflow/rocm-mi300/161180 2025-08-26T19:47:54.8954886Z * [new tag] ciflow/rocm-mi300/161225 -> ciflow/rocm-mi300/161225 2025-08-26T19:47:54.8955896Z * [new tag] ciflow/rocm-mi300/161429 -> ciflow/rocm-mi300/161429 2025-08-26T19:47:54.8957147Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-26T19:47:54.8958102Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-26T19:47:54.8958823Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-26T19:47:54.8959836Z * [new tag] ciflow/rocm/152526 -> ciflow/rocm/152526 2025-08-26T19:47:54.8960740Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-26T19:47:54.8961693Z * [new tag] ciflow/rocm/158352 -> ciflow/rocm/158352 2025-08-26T19:47:54.8962412Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-26T19:47:54.8963182Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-26T19:47:54.8964087Z * [new tag] ciflow/rocm/160671 -> ciflow/rocm/160671 2025-08-26T19:47:54.8965258Z * [new tag] ciflow/rocm/160676 -> ciflow/rocm/160676 2025-08-26T19:47:54.8965941Z * [new tag] ciflow/rocm/161180 -> ciflow/rocm/161180 2025-08-26T19:47:54.8966736Z * [new tag] ciflow/rocm/161225 -> ciflow/rocm/161225 2025-08-26T19:47:54.8968451Z * [new tag] ciflow/rocm/161277 -> ciflow/rocm/161277 2025-08-26T19:47:54.8969470Z * [new tag] ciflow/rocm/161429 -> ciflow/rocm/161429 2025-08-26T19:47:54.8970460Z * [new tag] ciflow/rocm/161496 -> ciflow/rocm/161496 2025-08-26T19:47:54.8971617Z * [new tag] ciflow/s390/160893 -> ciflow/s390/160893 2025-08-26T19:47:54.8972897Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-26T19:47:54.8973837Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-26T19:47:54.8975234Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-26T19:47:54.8975841Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-26T19:47:54.8976866Z * [new tag] ciflow/slow/161182 -> ciflow/slow/161182 2025-08-26T19:47:54.8977609Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-08-26T19:47:54.8978678Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-26T19:47:54.8979759Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-26T19:47:54.8981042Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-26T19:47:54.8982316Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-26T19:47:54.8983510Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-26T19:47:54.8984487Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-26T19:47:54.8985517Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-26T19:47:54.8986485Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-26T19:47:54.8987983Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-26T19:47:54.8988598Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-26T19:47:54.8989616Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-26T19:47:54.8990651Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-26T19:47:54.8991697Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-26T19:47:54.8992862Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-26T19:47:54.8994301Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-26T19:47:54.8994911Z * [new tag] ciflow/torchbench/158137 -> ciflow/torchbench/158137 2025-08-26T19:47:54.8995945Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-26T19:47:54.8996713Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-26T19:47:54.8997734Z * [new tag] ciflow/trunk/153784 -> ciflow/trunk/153784 2025-08-26T19:47:54.8998432Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-26T19:47:54.8999458Z * [new tag] ciflow/trunk/156418 -> ciflow/trunk/156418 2025-08-26T19:47:54.9000424Z * [new tag] ciflow/trunk/157196 -> ciflow/trunk/157196 2025-08-26T19:47:54.9001377Z * [new tag] ciflow/trunk/157537 -> ciflow/trunk/157537 2025-08-26T19:47:54.9002497Z * [new tag] ciflow/trunk/157767 -> ciflow/trunk/157767 2025-08-26T19:47:54.9002964Z * [new tag] ciflow/trunk/157944 -> ciflow/trunk/157944 2025-08-26T19:47:54.9003987Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-26T19:47:54.9004603Z * [new tag] ciflow/trunk/158541 -> ciflow/trunk/158541 2025-08-26T19:47:54.9005767Z * [new tag] ciflow/trunk/158733 -> ciflow/trunk/158733 2025-08-26T19:47:54.9007072Z * [new tag] ciflow/trunk/158747 -> ciflow/trunk/158747 2025-08-26T19:47:54.9008212Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-26T19:47:54.9008931Z * [new tag] ciflow/trunk/159387 -> ciflow/trunk/159387 2025-08-26T19:47:54.9009910Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-26T19:47:54.9010859Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-08-26T19:47:54.9011856Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-26T19:47:54.9012549Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-26T19:47:54.9013521Z * [new tag] ciflow/trunk/160156 -> ciflow/trunk/160156 2025-08-26T19:47:54.9014221Z * [new tag] ciflow/trunk/160180 -> ciflow/trunk/160180 2025-08-26T19:47:54.9015269Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-26T19:47:54.9016096Z * [new tag] ciflow/trunk/160258 -> ciflow/trunk/160258 2025-08-26T19:47:54.9016911Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-26T19:47:54.9017874Z * [new tag] ciflow/trunk/160448 -> ciflow/trunk/160448 2025-08-26T19:47:54.9018616Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-26T19:47:54.9019543Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-26T19:47:54.9020295Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-08-26T19:47:54.9021664Z * [new tag] ciflow/trunk/160671 -> ciflow/trunk/160671 2025-08-26T19:47:54.9022452Z * [new tag] ciflow/trunk/160677 -> ciflow/trunk/160677 2025-08-26T19:47:54.9023513Z * [new tag] ciflow/trunk/160692 -> ciflow/trunk/160692 2025-08-26T19:47:54.9024291Z * [new tag] ciflow/trunk/160781 -> ciflow/trunk/160781 2025-08-26T19:47:54.9025134Z * [new tag] ciflow/trunk/160825 -> ciflow/trunk/160825 2025-08-26T19:47:54.9026047Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-08-26T19:47:54.9027096Z * [new tag] ciflow/trunk/160866 -> ciflow/trunk/160866 2025-08-26T19:47:54.9028106Z * [new tag] ciflow/trunk/160915 -> ciflow/trunk/160915 2025-08-26T19:47:54.9028869Z * [new tag] ciflow/trunk/160991 -> ciflow/trunk/160991 2025-08-26T19:47:54.9029903Z * [new tag] ciflow/trunk/160992 -> ciflow/trunk/160992 2025-08-26T19:47:54.9030685Z * [new tag] ciflow/trunk/161004 -> ciflow/trunk/161004 2025-08-26T19:47:54.9031686Z * [new tag] ciflow/trunk/161016 -> ciflow/trunk/161016 2025-08-26T19:47:54.9032753Z * [new tag] ciflow/trunk/161023 -> ciflow/trunk/161023 2025-08-26T19:47:54.9033520Z * [new tag] ciflow/trunk/161026 -> ciflow/trunk/161026 2025-08-26T19:47:54.9034414Z * [new tag] ciflow/trunk/161032 -> ciflow/trunk/161032 2025-08-26T19:47:54.9035393Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-08-26T19:47:54.9036171Z * [new tag] ciflow/trunk/161040 -> ciflow/trunk/161040 2025-08-26T19:47:54.9037227Z * [new tag] ciflow/trunk/161094 -> ciflow/trunk/161094 2025-08-26T19:47:54.9038011Z * [new tag] ciflow/trunk/161097 -> ciflow/trunk/161097 2025-08-26T19:47:54.9039000Z * [new tag] ciflow/trunk/161098 -> ciflow/trunk/161098 2025-08-26T19:47:54.9039681Z * [new tag] ciflow/trunk/161100 -> ciflow/trunk/161100 2025-08-26T19:47:54.9040655Z * [new tag] ciflow/trunk/161106 -> ciflow/trunk/161106 2025-08-26T19:47:54.9041411Z * [new tag] ciflow/trunk/161110 -> ciflow/trunk/161110 2025-08-26T19:47:54.9042500Z * [new tag] ciflow/trunk/161114 -> ciflow/trunk/161114 2025-08-26T19:47:54.9043245Z * [new tag] ciflow/trunk/161117 -> ciflow/trunk/161117 2025-08-26T19:47:54.9044223Z * [new tag] ciflow/trunk/161123 -> ciflow/trunk/161123 2025-08-26T19:47:54.9044949Z * [new tag] ciflow/trunk/161124 -> ciflow/trunk/161124 2025-08-26T19:47:54.9045879Z * [new tag] ciflow/trunk/161125 -> ciflow/trunk/161125 2025-08-26T19:47:54.9046645Z * [new tag] ciflow/trunk/161126 -> ciflow/trunk/161126 2025-08-26T19:47:54.9047957Z * [new tag] ciflow/trunk/161131 -> ciflow/trunk/161131 2025-08-26T19:47:54.9048839Z * [new tag] ciflow/trunk/161143 -> ciflow/trunk/161143 2025-08-26T19:47:54.9049643Z * [new tag] ciflow/trunk/161144 -> ciflow/trunk/161144 2025-08-26T19:47:54.9050512Z * [new tag] ciflow/trunk/161164 -> ciflow/trunk/161164 2025-08-26T19:47:54.9051437Z * [new tag] ciflow/trunk/161180 -> ciflow/trunk/161180 2025-08-26T19:47:54.9052230Z * [new tag] ciflow/trunk/161214 -> ciflow/trunk/161214 2025-08-26T19:47:54.9053025Z * [new tag] ciflow/trunk/161217 -> ciflow/trunk/161217 2025-08-26T19:47:54.9053979Z * [new tag] ciflow/trunk/161225 -> ciflow/trunk/161225 2025-08-26T19:47:54.9054719Z * [new tag] ciflow/trunk/161236 -> ciflow/trunk/161236 2025-08-26T19:47:54.9055698Z * [new tag] ciflow/trunk/161237 -> ciflow/trunk/161237 2025-08-26T19:47:54.9056399Z * [new tag] ciflow/trunk/161241 -> ciflow/trunk/161241 2025-08-26T19:47:54.9057460Z * [new tag] ciflow/trunk/161262 -> ciflow/trunk/161262 2025-08-26T19:47:54.9058853Z * [new tag] ciflow/trunk/161263 -> ciflow/trunk/161263 2025-08-26T19:47:54.9059613Z * [new tag] ciflow/trunk/161279 -> ciflow/trunk/161279 2025-08-26T19:47:54.9060805Z * [new tag] ciflow/trunk/161306 -> ciflow/trunk/161306 2025-08-26T19:47:54.9061570Z * [new tag] ciflow/trunk/161311 -> ciflow/trunk/161311 2025-08-26T19:47:54.9062559Z * [new tag] ciflow/trunk/161354 -> ciflow/trunk/161354 2025-08-26T19:47:54.9063305Z * [new tag] ciflow/trunk/161355 -> ciflow/trunk/161355 2025-08-26T19:47:54.9064244Z * [new tag] ciflow/trunk/161362 -> ciflow/trunk/161362 2025-08-26T19:47:54.9065020Z * [new tag] ciflow/trunk/161363 -> ciflow/trunk/161363 2025-08-26T19:47:54.9066130Z * [new tag] ciflow/trunk/161370 -> ciflow/trunk/161370 2025-08-26T19:47:54.9066883Z * [new tag] ciflow/trunk/161383 -> ciflow/trunk/161383 2025-08-26T19:47:54.9067795Z * [new tag] ciflow/trunk/161385 -> ciflow/trunk/161385 2025-08-26T19:47:54.9068864Z * [new tag] ciflow/trunk/161389 -> ciflow/trunk/161389 2025-08-26T19:47:54.9069668Z * [new tag] ciflow/trunk/161392 -> ciflow/trunk/161392 2025-08-26T19:47:54.9070596Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-08-26T19:47:54.9071338Z * [new tag] ciflow/trunk/161396 -> ciflow/trunk/161396 2025-08-26T19:47:54.9072182Z * [new tag] ciflow/trunk/161409 -> ciflow/trunk/161409 2025-08-26T19:47:54.9073172Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-08-26T19:47:54.9073858Z * [new tag] ciflow/trunk/161435 -> ciflow/trunk/161435 2025-08-26T19:47:54.9074935Z * [new tag] ciflow/trunk/161437 -> ciflow/trunk/161437 2025-08-26T19:47:54.9075928Z * [new tag] ciflow/trunk/161451 -> ciflow/trunk/161451 2025-08-26T19:47:54.9076688Z * [new tag] ciflow/trunk/161453 -> ciflow/trunk/161453 2025-08-26T19:47:54.9077803Z * [new tag] ciflow/trunk/161454 -> ciflow/trunk/161454 2025-08-26T19:47:54.9078758Z * [new tag] ciflow/trunk/161489 -> ciflow/trunk/161489 2025-08-26T19:47:54.9080224Z * [new tag] ciflow/trunk/161517 -> ciflow/trunk/161517 2025-08-26T19:47:54.9081520Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-26T19:47:54.9082510Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-26T19:47:54.9083235Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-26T19:47:54.9084031Z * [new tag] ciflow/win-arm64/160258 -> ciflow/win-arm64/160258 2025-08-26T19:47:54.9085126Z * [new tag] ciflow/win-arm64/161504 -> ciflow/win-arm64/161504 2025-08-26T19:47:54.9086273Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-26T19:47:54.9087030Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-26T19:47:54.9088254Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-26T19:47:54.9089016Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-26T19:47:54.9089598Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-26T19:47:54.9090663Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-26T19:47:54.9091628Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-08-26T19:47:54.9092540Z * [new tag] ciflow/xpu/161041 -> ciflow/xpu/161041 2025-08-26T19:47:54.9093482Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-08-26T19:47:54.9094180Z * [new tag] ciflow/xpu/161142 -> ciflow/xpu/161142 2025-08-26T19:47:54.9095390Z * [new tag] ciflow/xpu/161152 -> ciflow/xpu/161152 2025-08-26T19:47:54.9096447Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-08-26T19:47:54.9097532Z * [new tag] ciflow/xpu/161389 -> ciflow/xpu/161389 2025-08-26T19:47:54.9098568Z * [new tag] ciflow/xpu/161392 -> ciflow/xpu/161392 2025-08-26T19:47:54.9099486Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-08-26T19:47:54.9100193Z * [new tag] ciflow/xpu/161477 -> ciflow/xpu/161477 2025-08-26T19:47:54.9101113Z * [new tag] ciflow/xpu/161489 -> ciflow/xpu/161489 2025-08-26T19:47:54.9102094Z * [new tag] cslpull75 -> cslpull75 2025-08-26T19:47:54.9103043Z * [new tag] cslpull76 -> cslpull76 2025-08-26T19:47:54.9103946Z * [new tag] cslpull77 -> cslpull77 2025-08-26T19:47:54.9104853Z * [new tag] cslpull78 -> cslpull78 2025-08-26T19:47:54.9106102Z * [new tag] cslpull79 -> cslpull79 2025-08-26T19:47:54.9107324Z * [new tag] cslpull80 -> cslpull80 2025-08-26T19:47:54.9108288Z * [new tag] cslpull81 -> cslpull81 2025-08-26T19:47:54.9109195Z * [new tag] cslpull82 -> cslpull82 2025-08-26T19:47:54.9110464Z * [new tag] cslpull83 -> cslpull83 2025-08-26T19:47:54.9111305Z * [new tag] cslpull84 -> cslpull84 2025-08-26T19:47:54.9112184Z * [new tag] cslpull85 -> cslpull85 2025-08-26T19:47:54.9113198Z * [new tag] cslpull86 -> cslpull86 2025-08-26T19:47:54.9114125Z * [new tag] cslpull87 -> cslpull87 2025-08-26T19:47:54.9115171Z * [new tag] cslpull88 -> cslpull88 2025-08-26T19:47:54.9116094Z * [new tag] cslpull89 -> cslpull89 2025-08-26T19:47:54.9116814Z * [new tag] cslpull90 -> cslpull90 2025-08-26T19:47:54.9118267Z * [new tag] cslpull91 -> cslpull91 2025-08-26T19:47:54.9119355Z * [new tag] cslpull92 -> cslpull92 2025-08-26T19:47:54.9120284Z * [new tag] flight_5 -> flight_5 2025-08-26T19:47:54.9121491Z * [new tag] flight_5.1 -> flight_5.1 2025-08-26T19:47:54.9122460Z * [new tag] flight_5.2 -> flight_5.2 2025-08-26T19:47:54.9123413Z * [new tag] flight_5.3 -> flight_5.3 2025-08-26T19:47:54.9124388Z * [new tag] forpull1 -> forpull1 2025-08-26T19:47:54.9125529Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-26T19:47:54.9126505Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-26T19:47:54.9127579Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-26T19:47:54.9128771Z * [new tag] nightly-binary -> nightly-binary 2025-08-26T19:47:54.9129474Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-26T19:47:54.9130628Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-26T19:47:54.9132017Z * [new tag] trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1 -> trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1 2025-08-26T19:47:54.9132857Z * [new tag] trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf -> trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf 2025-08-26T19:47:54.9134455Z * [new tag] trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff -> trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff 2025-08-26T19:47:54.9135611Z * [new tag] trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2 -> trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2 2025-08-26T19:47:54.9136820Z * [new tag] trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8 -> trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8 2025-08-26T19:47:54.9137685Z * [new tag] trunk/0924304e728b9507a54eced28c812fbd5b13c397 -> trunk/0924304e728b9507a54eced28c812fbd5b13c397 2025-08-26T19:47:54.9138866Z * [new tag] trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89 -> trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89 2025-08-26T19:47:54.9139697Z * [new tag] trunk/0d19541284c38212235f78db24e3ac3ae4787e45 -> trunk/0d19541284c38212235f78db24e3ac3ae4787e45 2025-08-26T19:47:54.9140850Z * [new tag] trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863 -> trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863 2025-08-26T19:47:54.9141572Z * [new tag] trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 2025-08-26T19:47:54.9142670Z * [new tag] trunk/0f801a510f5f185543388717241adb7237c3d46a -> trunk/0f801a510f5f185543388717241adb7237c3d46a 2025-08-26T19:47:54.9143418Z * [new tag] trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0 -> trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0 2025-08-26T19:47:54.9144654Z * [new tag] trunk/1113e7de30da95973c1eac7921601f9a0e94f2db -> trunk/1113e7de30da95973c1eac7921601f9a0e94f2db 2025-08-26T19:47:54.9145610Z * [new tag] trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb -> trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb 2025-08-26T19:47:54.9146553Z * [new tag] trunk/1471b20cb3fc502931ef12b1420414e32facd5b0 -> trunk/1471b20cb3fc502931ef12b1420414e32facd5b0 2025-08-26T19:47:54.9147988Z * [new tag] trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053 -> trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053 2025-08-26T19:47:54.9148865Z * [new tag] trunk/17b0263e86aec8aed068bb8b6744b129233e8084 -> trunk/17b0263e86aec8aed068bb8b6744b129233e8084 2025-08-26T19:47:54.9149665Z * [new tag] trunk/18271148d32da3d48897e9e7515de45066fce5bc -> trunk/18271148d32da3d48897e9e7515de45066fce5bc 2025-08-26T19:47:54.9150942Z * [new tag] trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4 -> trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4 2025-08-26T19:47:54.9151812Z * [new tag] trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712 -> trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712 2025-08-26T19:47:54.9152936Z * [new tag] trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8 -> trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8 2025-08-26T19:47:54.9153791Z * [new tag] trunk/1d46aa736fc8870dc88015c729a8c64470fa985c -> trunk/1d46aa736fc8870dc88015c729a8c64470fa985c 2025-08-26T19:47:54.9154965Z * [new tag] trunk/1de4540449ad6b9df8f452ab72da30ce8908af60 -> trunk/1de4540449ad6b9df8f452ab72da30ce8908af60 2025-08-26T19:47:54.9156389Z * [new tag] trunk/1e3fe78a104776cd708f150116348540346dae25 -> trunk/1e3fe78a104776cd708f150116348540346dae25 2025-08-26T19:47:54.9157285Z * [new tag] trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a -> trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a 2025-08-26T19:47:54.9158409Z * [new tag] trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a -> trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a 2025-08-26T19:47:54.9159277Z * [new tag] trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c -> trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c 2025-08-26T19:47:54.9160466Z * [new tag] trunk/209143ddeb99b0b075d16525088cee4893be7492 -> trunk/209143ddeb99b0b075d16525088cee4893be7492 2025-08-26T19:47:54.9161319Z * [new tag] trunk/22df59efc0a845b3ff37019029efd07c5a25c456 -> trunk/22df59efc0a845b3ff37019029efd07c5a25c456 2025-08-26T19:47:54.9162347Z * [new tag] trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3 -> trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3 2025-08-26T19:47:54.9163489Z * [new tag] trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a -> trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a 2025-08-26T19:47:54.9164465Z * [new tag] trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9 -> trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9 2025-08-26T19:47:54.9165795Z * [new tag] trunk/262640fd220236042fbf4443cc163c8838c84c3d -> trunk/262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:47:54.9166511Z * [new tag] trunk/266784ec6ae82f823abe406582e7a91f2ebb564a -> trunk/266784ec6ae82f823abe406582e7a91f2ebb564a 2025-08-26T19:47:54.9167445Z * [new tag] trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409 -> trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409 2025-08-26T19:47:54.9168684Z * [new tag] trunk/284b7190054686e68d9cc683b6ce43e45dd22338 -> trunk/284b7190054686e68d9cc683b6ce43e45dd22338 2025-08-26T19:47:54.9169601Z * [new tag] trunk/29afde20203ee6773641b4e3552942a37315316f -> trunk/29afde20203ee6773641b4e3552942a37315316f 2025-08-26T19:47:54.9170631Z * [new tag] trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e -> trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e 2025-08-26T19:47:54.9171930Z * [new tag] trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8 -> trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8 2025-08-26T19:47:54.9172944Z * [new tag] trunk/2beffb3311a41589021c121dac543994a7cbdff2 -> trunk/2beffb3311a41589021c121dac543994a7cbdff2 2025-08-26T19:47:54.9173829Z * [new tag] trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54 -> trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54 2025-08-26T19:47:54.9175065Z * [new tag] trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421 -> trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421 2025-08-26T19:47:54.9175881Z * [new tag] trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10 -> trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10 2025-08-26T19:47:54.9176837Z * [new tag] trunk/2f0cba934de7094a66c6ce68f5e937254f23142a -> trunk/2f0cba934de7094a66c6ce68f5e937254f23142a 2025-08-26T19:47:54.9177680Z * [new tag] trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 2025-08-26T19:47:54.9178833Z * [new tag] trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf -> trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf 2025-08-26T19:47:54.9179780Z * [new tag] trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06 -> trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06 2025-08-26T19:47:54.9180876Z * [new tag] trunk/30384abcb1d181e774c0ac21b580aa34336a96c6 -> trunk/30384abcb1d181e774c0ac21b580aa34336a96c6 2025-08-26T19:47:54.9182094Z * [new tag] trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d -> trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d 2025-08-26T19:47:54.9183000Z * [new tag] trunk/332fa5b388521c05a19217649745c6edfdc2836d -> trunk/332fa5b388521c05a19217649745c6edfdc2836d 2025-08-26T19:47:54.9184472Z * [new tag] trunk/33346b58148c55592994a43385c321ae8c8808f2 -> trunk/33346b58148c55592994a43385c321ae8c8808f2 2025-08-26T19:47:54.9185424Z * [new tag] trunk/3373b074f5ea5277974fa6e945544fdfb16bb446 -> trunk/3373b074f5ea5277974fa6e945544fdfb16bb446 2025-08-26T19:47:54.9186530Z * [new tag] trunk/33c3794533844236a6e30ba377e0a6802b279fc8 -> trunk/33c3794533844236a6e30ba377e0a6802b279fc8 2025-08-26T19:47:54.9187433Z * [new tag] trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208 -> trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208 2025-08-26T19:47:54.9188538Z * [new tag] trunk/36ac916929ca67b533cc45932970297e9824324e -> trunk/36ac916929ca67b533cc45932970297e9824324e 2025-08-26T19:47:54.9189446Z * [new tag] trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76 -> trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76 2025-08-26T19:47:54.9190394Z * [new tag] trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b -> trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b 2025-08-26T19:47:54.9191581Z * [new tag] trunk/37a34022b59a6ff2757e5cec0fdc72278418f339 -> trunk/37a34022b59a6ff2757e5cec0fdc72278418f339 2025-08-26T19:47:54.9192455Z * [new tag] trunk/38a492d40d7ebb2856cb120df337c6cdac244528 -> trunk/38a492d40d7ebb2856cb120df337c6cdac244528 2025-08-26T19:47:54.9193667Z * [new tag] trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728 -> trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728 2025-08-26T19:47:54.9194491Z * [new tag] trunk/39862acb2e320783245d2a03acfd1b14cae28038 -> trunk/39862acb2e320783245d2a03acfd1b14cae28038 2025-08-26T19:47:54.9195691Z * [new tag] trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f -> trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f 2025-08-26T19:47:54.9196571Z * [new tag] trunk/3caddd4daa5b1a167663c07219e065e86247ad76 -> trunk/3caddd4daa5b1a167663c07219e065e86247ad76 2025-08-26T19:47:54.9197764Z * [new tag] trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9 -> trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9 2025-08-26T19:47:54.9198608Z * [new tag] trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa -> trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa 2025-08-26T19:47:54.9199597Z * [new tag] trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062 -> trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062 2025-08-26T19:47:54.9200330Z * [new tag] trunk/3e5b021f217a42ae55dc690083f67a28126808ed -> trunk/3e5b021f217a42ae55dc690083f67a28126808ed 2025-08-26T19:47:54.9201453Z * [new tag] trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39 -> trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39 2025-08-26T19:47:54.9202388Z * [new tag] trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24 -> trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24 2025-08-26T19:47:54.9203607Z * [new tag] trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3 -> trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3 2025-08-26T19:47:54.9204487Z * [new tag] trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759 -> trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759 2025-08-26T19:47:54.9205641Z * [new tag] trunk/419a2dbf5f69cee52382090200b532a81da92c69 -> trunk/419a2dbf5f69cee52382090200b532a81da92c69 2025-08-26T19:47:54.9206767Z * [new tag] trunk/431846a6323c6f1d02da49e311ac694324f386f4 -> trunk/431846a6323c6f1d02da49e311ac694324f386f4 2025-08-26T19:47:54.9207656Z * [new tag] trunk/44549c7146bd6c4166f97e856037babe1b7f4f49 -> trunk/44549c7146bd6c4166f97e856037babe1b7f4f49 2025-08-26T19:47:54.9208918Z * [new tag] trunk/447d34b5f80fb7350f79decd855cb599cab39083 -> trunk/447d34b5f80fb7350f79decd855cb599cab39083 2025-08-26T19:47:54.9209812Z * [new tag] trunk/46429be72323c1807a785234164bd91011f68d08 -> trunk/46429be72323c1807a785234164bd91011f68d08 2025-08-26T19:47:54.9210932Z * [new tag] trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8 -> trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8 2025-08-26T19:47:54.9212102Z * [new tag] trunk/47d267364cad407b5612bf4a5faa160d2f4a7121 -> trunk/47d267364cad407b5612bf4a5faa160d2f4a7121 2025-08-26T19:47:54.9213061Z * [new tag] trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24 -> trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24 2025-08-26T19:47:54.9214087Z * [new tag] trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4 -> trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4 2025-08-26T19:47:54.9215085Z * [new tag] trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52 -> trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52 2025-08-26T19:47:54.9216047Z * [new tag] trunk/4c36c8a99463c898190a462300ba7f05b5b3384e -> trunk/4c36c8a99463c898190a462300ba7f05b5b3384e 2025-08-26T19:47:54.9217156Z * [new tag] trunk/4e19c1906a830714c1d9d71361357ce616a034d6 -> trunk/4e19c1906a830714c1d9d71361357ce616a034d6 2025-08-26T19:47:54.9218296Z * [new tag] trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898 -> trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898 2025-08-26T19:47:54.9219170Z * [new tag] trunk/50cfe76231768ee2c784f68a1eba03369f386019 -> trunk/50cfe76231768ee2c784f68a1eba03369f386019 2025-08-26T19:47:54.9220287Z * [new tag] trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810 -> trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810 2025-08-26T19:47:54.9221219Z * [new tag] trunk/512fc768e94c937df350911aaa4ebce757d1f9df -> trunk/512fc768e94c937df350911aaa4ebce757d1f9df 2025-08-26T19:47:54.9223139Z * [new tag] trunk/517d38d3406abbba35d0694bff259a698cad3ec9 -> trunk/517d38d3406abbba35d0694bff259a698cad3ec9 2025-08-26T19:47:54.9224299Z * [new tag] trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2 -> trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2 2025-08-26T19:47:54.9225159Z * [new tag] trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed -> trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed 2025-08-26T19:47:54.9226315Z * [new tag] trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb -> trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb 2025-08-26T19:47:54.9227130Z * [new tag] trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1 -> trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1 2025-08-26T19:47:54.9228409Z * [new tag] trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7 -> trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7 2025-08-26T19:47:54.9229251Z * [new tag] trunk/576a0e64ed2470abd2c430205d1984a11951ce05 -> trunk/576a0e64ed2470abd2c430205d1984a11951ce05 2025-08-26T19:47:54.9230376Z * [new tag] trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa -> trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa 2025-08-26T19:47:54.9231242Z * [new tag] trunk/58f9a3dd6391397e439c5f5075837e8f983735aa -> trunk/58f9a3dd6391397e439c5f5075837e8f983735aa 2025-08-26T19:47:54.9232366Z * [new tag] trunk/595987d28d4c8aee68de83734af919c7710ad58b -> trunk/595987d28d4c8aee68de83734af919c7710ad58b 2025-08-26T19:47:54.9233329Z * [new tag] trunk/599f639ddb8bb45abb2dc305542f38288427183d -> trunk/599f639ddb8bb45abb2dc305542f38288427183d 2025-08-26T19:47:54.9234535Z * [new tag] trunk/5afa4187dfe1e99278f8e372ec09102d5b937572 -> trunk/5afa4187dfe1e99278f8e372ec09102d5b937572 2025-08-26T19:47:54.9235449Z * [new tag] trunk/5d9653d90ee003173dd03f93e09fed236500ef06 -> trunk/5d9653d90ee003173dd03f93e09fed236500ef06 2025-08-26T19:47:54.9236572Z * [new tag] trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e -> trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e 2025-08-26T19:47:54.9237708Z * [new tag] trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f -> trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f 2025-08-26T19:47:54.9238641Z * [new tag] trunk/6096d277c543f5dd40351431ef9a8d556134c74d -> trunk/6096d277c543f5dd40351431ef9a8d556134c74d 2025-08-26T19:47:54.9239771Z * [new tag] trunk/62db8ec39116544ae247f876b3e06753178db49b -> trunk/62db8ec39116544ae247f876b3e06753178db49b 2025-08-26T19:47:54.9240632Z * [new tag] trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1 -> trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1 2025-08-26T19:47:54.9241693Z * [new tag] trunk/6443ea337df843681bc558d99efa84a3e5559b7f -> trunk/6443ea337df843681bc558d99efa84a3e5559b7f 2025-08-26T19:47:54.9242849Z * [new tag] trunk/6598f00c18dfcc4fc50427305b6b5724e617246f -> trunk/6598f00c18dfcc4fc50427305b6b5724e617246f 2025-08-26T19:47:54.9243749Z * [new tag] trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611 -> trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611 2025-08-26T19:47:54.9244752Z * [new tag] trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43 -> trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43 2025-08-26T19:47:54.9245996Z * [new tag] trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc -> trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc 2025-08-26T19:47:54.9246865Z * [new tag] trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03 -> trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03 2025-08-26T19:47:54.9247942Z * [new tag] trunk/67b98da1b262317f9c0375d64a4b467c82712548 -> trunk/67b98da1b262317f9c0375d64a4b467c82712548 2025-08-26T19:47:54.9249141Z * [new tag] trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab -> trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab 2025-08-26T19:47:54.9250080Z * [new tag] trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4 -> trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4 2025-08-26T19:47:54.9251349Z * [new tag] trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9 -> trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9 2025-08-26T19:47:54.9252113Z * [new tag] trunk/6ea4be1e2eca952ea66090182bd2eede89799a45 -> trunk/6ea4be1e2eca952ea66090182bd2eede89799a45 2025-08-26T19:47:54.9253349Z * [new tag] trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021 -> trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021 2025-08-26T19:47:54.9254219Z * [new tag] trunk/710514a2a51facaba445d2c188541d778f9fdb59 -> trunk/710514a2a51facaba445d2c188541d778f9fdb59 2025-08-26T19:47:54.9255535Z * [new tag] trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1 -> trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1 2025-08-26T19:47:54.9256345Z * [new tag] trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72 -> trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72 2025-08-26T19:47:54.9257413Z * [new tag] trunk/72e4786d1635681b8d053d0168c7d16b980e5124 -> trunk/72e4786d1635681b8d053d0168c7d16b980e5124 2025-08-26T19:47:54.9258467Z * [new tag] trunk/7376111d59f3170c2814d565c09d09435189692a -> trunk/7376111d59f3170c2814d565c09d09435189692a 2025-08-26T19:47:54.9259603Z * [new tag] trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1 -> trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1 2025-08-26T19:47:54.9261158Z * [new tag] trunk/74280d091321343b47a2975e17584b973d7c22c4 -> trunk/74280d091321343b47a2975e17584b973d7c22c4 2025-08-26T19:47:54.9261922Z * [new tag] trunk/74c4c758afa8c28162f00a456c185552e1159fd3 -> trunk/74c4c758afa8c28162f00a456c185552e1159fd3 2025-08-26T19:47:54.9263108Z * [new tag] trunk/763053dc536341997641e920d8887b3010901b3b -> trunk/763053dc536341997641e920d8887b3010901b3b 2025-08-26T19:47:54.9264024Z * [new tag] trunk/774b4befa18741b3115802cae71000168a40c384 -> trunk/774b4befa18741b3115802cae71000168a40c384 2025-08-26T19:47:54.9264878Z * [new tag] trunk/77bc959fe122bfd131e339ca36cab445a1860806 -> trunk/77bc959fe122bfd131e339ca36cab445a1860806 2025-08-26T19:47:54.9266048Z * [new tag] trunk/78a8e6a671c5631bc0e89b0e674790a424540547 -> trunk/78a8e6a671c5631bc0e89b0e674790a424540547 2025-08-26T19:47:54.9267002Z * [new tag] trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808 -> trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808 2025-08-26T19:47:54.9268194Z * [new tag] trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea -> trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea 2025-08-26T19:47:54.9269104Z * [new tag] trunk/7f201baf414301b3312576893b7f6f2698acd9ba -> trunk/7f201baf414301b3312576893b7f6f2698acd9ba 2025-08-26T19:47:54.9270222Z * [new tag] trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a -> trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a 2025-08-26T19:47:54.9271319Z * [new tag] trunk/801851086d09506d081800108c9e214edb3f5b7d -> trunk/801851086d09506d081800108c9e214edb3f5b7d 2025-08-26T19:47:54.9272326Z * [new tag] trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f -> trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f 2025-08-26T19:47:54.9273480Z * [new tag] trunk/80df27a612be3433516d7e6dfc8d8be058425d3e -> trunk/80df27a612be3433516d7e6dfc8d8be058425d3e 2025-08-26T19:47:54.9274393Z * [new tag] trunk/818ba434c7de4cd604184b2857d544e0ad95735f -> trunk/818ba434c7de4cd604184b2857d544e0ad95735f 2025-08-26T19:47:54.9275558Z * [new tag] trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527 -> trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527 2025-08-26T19:47:54.9276489Z * [new tag] trunk/85adf80cf15538a7e010fa235036fe8e06f8bede -> trunk/85adf80cf15538a7e010fa235036fe8e06f8bede 2025-08-26T19:47:54.9277702Z * [new tag] trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740 -> trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740 2025-08-26T19:47:54.9279038Z * [new tag] trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2 -> trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2 2025-08-26T19:47:54.9279971Z * [new tag] trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8 -> trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8 2025-08-26T19:47:54.9281368Z * [new tag] trunk/8cfc119491f533c4edded4263a78eb0af782a2d5 -> trunk/8cfc119491f533c4edded4263a78eb0af782a2d5 2025-08-26T19:47:54.9282502Z * [new tag] trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e -> trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e 2025-08-26T19:47:54.9283392Z * [new tag] trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa -> trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa 2025-08-26T19:47:54.9284602Z * [new tag] trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9 -> trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9 2025-08-26T19:47:54.9285787Z * [new tag] trunk/8f766d68397736053883aa281cae0eb46bb233bb -> trunk/8f766d68397736053883aa281cae0eb46bb233bb 2025-08-26T19:47:54.9286720Z * [new tag] trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836 -> trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836 2025-08-26T19:47:54.9287930Z * [new tag] trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b -> trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b 2025-08-26T19:47:54.9288893Z * [new tag] trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e -> trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e 2025-08-26T19:47:54.9290042Z * [new tag] trunk/923bc46122d173a7964c646311a3bea3cd8dd561 -> trunk/923bc46122d173a7964c646311a3bea3cd8dd561 2025-08-26T19:47:54.9291649Z * [new tag] trunk/92ab18482459a63e97f1374e27e8411964da9762 -> trunk/92ab18482459a63e97f1374e27e8411964da9762 2025-08-26T19:47:54.9292826Z * [new tag] trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e -> trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e 2025-08-26T19:47:54.9296696Z * [new tag] trunk/957b170d8efe2a51147e0cdb7515acc345ba81da -> trunk/957b170d8efe2a51147e0cdb7515acc345ba81da 2025-08-26T19:47:54.9297089Z * [new tag] trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae -> trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae 2025-08-26T19:47:54.9297467Z * [new tag] trunk/96682103026b5ea27f19e6db9303e17572095b0e -> trunk/96682103026b5ea27f19e6db9303e17572095b0e 2025-08-26T19:47:54.9298216Z * [new tag] trunk/97200c971110d54030feaad999698c7341f8acc7 -> trunk/97200c971110d54030feaad999698c7341f8acc7 2025-08-26T19:47:54.9298763Z * [new tag] trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be -> trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be 2025-08-26T19:47:54.9300048Z * [new tag] trunk/995397d47a0e27394ee1010f158e181eb304100a -> trunk/995397d47a0e27394ee1010f158e181eb304100a 2025-08-26T19:47:54.9301254Z * [new tag] trunk/9a41570199155eee92ebd28452a556075e34e1b4 -> trunk/9a41570199155eee92ebd28452a556075e34e1b4 2025-08-26T19:47:54.9302387Z * [new tag] trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da -> trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da 2025-08-26T19:47:54.9303325Z * [new tag] trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44 -> trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44 2025-08-26T19:47:54.9304904Z * [new tag] trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a -> trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a 2025-08-26T19:47:54.9306042Z * [new tag] trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5 -> trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5 2025-08-26T19:47:54.9306980Z * [new tag] trunk/9d882fd9ffc6ad2a292fee548740aabfea745002 -> trunk/9d882fd9ffc6ad2a292fee548740aabfea745002 2025-08-26T19:47:54.9308150Z * [new tag] trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3 -> trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3 2025-08-26T19:47:54.9309214Z * [new tag] trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a -> trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a 2025-08-26T19:47:54.9310352Z * [new tag] trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea -> trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea 2025-08-26T19:47:54.9311524Z * [new tag] trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b -> trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b 2025-08-26T19:47:54.9312448Z * [new tag] trunk/a154c2093c0f2646346f032e1f30012779b3c51d -> trunk/a154c2093c0f2646346f032e1f30012779b3c51d 2025-08-26T19:47:54.9313667Z * [new tag] trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88 -> trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88 2025-08-26T19:47:54.9314753Z * [new tag] trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645 -> trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645 2025-08-26T19:47:54.9315663Z * [new tag] trunk/a3fe1ced409d186628ff2975f05ba529a86fae84 -> trunk/a3fe1ced409d186628ff2975f05ba529a86fae84 2025-08-26T19:47:54.9316862Z * [new tag] trunk/a43480d19cdd68e544163b1a07c328a9c54723b8 -> trunk/a43480d19cdd68e544163b1a07c328a9c54723b8 2025-08-26T19:47:54.9317783Z * [new tag] trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77 -> trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77 2025-08-26T19:47:54.9318933Z * [new tag] trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b -> trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b 2025-08-26T19:47:54.9319860Z * [new tag] trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182 -> trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182 2025-08-26T19:47:54.9320989Z * [new tag] trunk/a68f63e33161b4665e0f4c399bf8072135a35a57 -> trunk/a68f63e33161b4665e0f4c399bf8072135a35a57 2025-08-26T19:47:54.9322184Z * [new tag] trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b -> trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b 2025-08-26T19:47:54.9323136Z * [new tag] trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb -> trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb 2025-08-26T19:47:54.9324279Z * [new tag] trunk/a818fa77e3a72271f144514ef349c5a666313205 -> trunk/a818fa77e3a72271f144514ef349c5a666313205 2025-08-26T19:47:54.9325425Z * [new tag] trunk/a825557ed53507e85ac613862311a81eb88710a4 -> trunk/a825557ed53507e85ac613862311a81eb88710a4 2025-08-26T19:47:54.9326195Z * [new tag] trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e -> trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e 2025-08-26T19:47:54.9327472Z * [new tag] trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88 -> trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88 2025-08-26T19:47:54.9328656Z * [new tag] trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58 -> trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58 2025-08-26T19:47:54.9329555Z * [new tag] trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b -> trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b 2025-08-26T19:47:54.9330690Z * [new tag] trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6 -> trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6 2025-08-26T19:47:54.9331619Z * [new tag] trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b -> trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b 2025-08-26T19:47:54.9332771Z * [new tag] trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e -> trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e 2025-08-26T19:47:54.9333716Z * [new tag] trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83 -> trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83 2025-08-26T19:47:54.9334864Z * [new tag] trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc -> trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc 2025-08-26T19:47:54.9335980Z * [new tag] trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18 -> trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18 2025-08-26T19:47:54.9337088Z * [new tag] trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6 -> trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6 2025-08-26T19:47:54.9338037Z * [new tag] trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687 -> trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687 2025-08-26T19:47:54.9339116Z * [new tag] trunk/b2632e79828300302fd11e093d765196c3c0db58 -> trunk/b2632e79828300302fd11e093d765196c3c0db58 2025-08-26T19:47:54.9340215Z * [new tag] trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67 -> trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67 2025-08-26T19:47:54.9341167Z * [new tag] trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27 -> trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27 2025-08-26T19:47:54.9342345Z * [new tag] trunk/b708966201811b31ee765ec57715ac21d06ef652 -> trunk/b708966201811b31ee765ec57715ac21d06ef652 2025-08-26T19:47:54.9343212Z * [new tag] trunk/b9e9e92817fd7d1a778f074105603efb07e05004 -> trunk/b9e9e92817fd7d1a778f074105603efb07e05004 2025-08-26T19:47:54.9344083Z * [new tag] trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 2025-08-26T19:47:54.9345283Z * [new tag] trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045 -> trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045 2025-08-26T19:47:54.9346125Z * [new tag] trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a -> trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a 2025-08-26T19:47:54.9347316Z * [new tag] trunk/be2e6b3158552405acc13ef7829a0217826fb271 -> trunk/be2e6b3158552405acc13ef7829a0217826fb271 2025-08-26T19:47:54.9348222Z * [new tag] trunk/be87f22dfba4488963fcc854699829e2782ee0f2 -> trunk/be87f22dfba4488963fcc854699829e2782ee0f2 2025-08-26T19:47:54.9349406Z * [new tag] trunk/becd6cd744bdf950578519437652a0d1f4b48781 -> trunk/becd6cd744bdf950578519437652a0d1f4b48781 2025-08-26T19:47:54.9350665Z * [new tag] trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216 -> trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216 2025-08-26T19:47:54.9351975Z * [new tag] trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32 -> trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32 2025-08-26T19:47:54.9353096Z * [new tag] trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7 -> trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7 2025-08-26T19:47:54.9354066Z * [new tag] trunk/c2390087c34c964ef648addf43efb8c6a34e30c2 -> trunk/c2390087c34c964ef648addf43efb8c6a34e30c2 2025-08-26T19:47:54.9355177Z * [new tag] trunk/c4670e40c9b741d50a79b714e3830149833be908 -> trunk/c4670e40c9b741d50a79b714e3830149833be908 2025-08-26T19:47:54.9356401Z * [new tag] trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a -> trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a 2025-08-26T19:47:54.9357337Z * [new tag] trunk/c60dea5261d9648d1da51528a07731966bb6823e -> trunk/c60dea5261d9648d1da51528a07731966bb6823e 2025-08-26T19:47:54.9358537Z * [new tag] trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc -> trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc 2025-08-26T19:47:54.9359303Z * [new tag] trunk/c7a77470c54b28e555319e34048af14d1d66198a -> trunk/c7a77470c54b28e555319e34048af14d1d66198a 2025-08-26T19:47:54.9360532Z * [new tag] trunk/c7fb031706330684fc3a2d8d169bebea874d4e95 -> trunk/c7fb031706330684fc3a2d8d169bebea874d4e95 2025-08-26T19:47:54.9362022Z * [new tag] trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca -> trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca 2025-08-26T19:47:54.9363115Z * [new tag] trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f -> trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f 2025-08-26T19:47:54.9363998Z * [new tag] trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1 -> trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1 2025-08-26T19:47:54.9364901Z * [new tag] trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f -> trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f 2025-08-26T19:47:54.9366053Z * [new tag] trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d -> trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d 2025-08-26T19:47:54.9367212Z * [new tag] trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec -> trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec 2025-08-26T19:47:54.9368367Z * [new tag] trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138 -> trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138 2025-08-26T19:47:54.9369566Z * [new tag] trunk/ce048de608180fa88335e5821070472539968b54 -> trunk/ce048de608180fa88335e5821070472539968b54 2025-08-26T19:47:54.9370502Z * [new tag] trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936 -> trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936 2025-08-26T19:47:54.9371735Z * [new tag] trunk/cee72119b2dec7776bc2550dd39a9b1349772751 -> trunk/cee72119b2dec7776bc2550dd39a9b1349772751 2025-08-26T19:47:54.9372956Z * [new tag] trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0 -> trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0 2025-08-26T19:47:54.9374017Z * [new tag] trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e -> trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e 2025-08-26T19:47:54.9375217Z * [new tag] trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a -> trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a 2025-08-26T19:47:54.9376422Z * [new tag] trunk/d228a776e90368bb693837ae23285ad8fc33def5 -> trunk/d228a776e90368bb693837ae23285ad8fc33def5 2025-08-26T19:47:54.9377372Z * [new tag] trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31 -> trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31 2025-08-26T19:47:54.9378507Z * [new tag] trunk/d2bd55d8de784df439b38378f161271dc43b744c -> trunk/d2bd55d8de784df439b38378f161271dc43b744c 2025-08-26T19:47:54.9379626Z * [new tag] trunk/d4703fb91c3510460d71f648da113177edf593c8 -> trunk/d4703fb91c3510460d71f648da113177edf593c8 2025-08-26T19:47:54.9380567Z * [new tag] trunk/d875d3ca1e5099636c766c9df70ac5888c25215a -> trunk/d875d3ca1e5099636c766c9df70ac5888c25215a 2025-08-26T19:47:54.9381825Z * [new tag] trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892 -> trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892 2025-08-26T19:47:54.9382761Z * [new tag] trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e -> trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e 2025-08-26T19:47:54.9383981Z * [new tag] trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0 -> trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0 2025-08-26T19:47:54.9385373Z * [new tag] trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8 -> trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8 2025-08-26T19:47:54.9386533Z * [new tag] trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769 -> trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769 2025-08-26T19:47:54.9387611Z * [new tag] trunk/df571ae7ad7dacf77ce42c00189cf369d7993387 -> trunk/df571ae7ad7dacf77ce42c00189cf369d7993387 2025-08-26T19:47:54.9388651Z * [new tag] trunk/df6073641079c781e66a905e4f15ee49ac257eb2 -> trunk/df6073641079c781e66a905e4f15ee49ac257eb2 2025-08-26T19:47:54.9389651Z * [new tag] trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec -> trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec 2025-08-26T19:47:54.9390850Z * [new tag] trunk/e20f6d798606f3245686e950c43635bbe526232d -> trunk/e20f6d798606f3245686e950c43635bbe526232d 2025-08-26T19:47:54.9391738Z * [new tag] trunk/e25ee0290ef16503f178e04890c15717f6e9ea44 -> trunk/e25ee0290ef16503f178e04890c15717f6e9ea44 2025-08-26T19:47:54.9392887Z * [new tag] trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa -> trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa 2025-08-26T19:47:54.9394089Z * [new tag] trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a -> trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a 2025-08-26T19:47:54.9395050Z * [new tag] trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79 -> trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79 2025-08-26T19:47:54.9395884Z * [new tag] trunk/e4839470470168648dee5997f57347bb8541ea2b -> trunk/e4839470470168648dee5997f57347bb8541ea2b 2025-08-26T19:47:54.9397015Z * [new tag] trunk/e63155751825ba026ced3a1fc89563231bc85ccc -> trunk/e63155751825ba026ced3a1fc89563231bc85ccc 2025-08-26T19:47:54.9398124Z * [new tag] trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717 -> trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717 2025-08-26T19:47:54.9399042Z * [new tag] trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb -> trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb 2025-08-26T19:47:54.9400259Z * [new tag] trunk/e795450a35bca909902e12de99245e1c0e7e2872 -> trunk/e795450a35bca909902e12de99245e1c0e7e2872 2025-08-26T19:47:54.9401397Z * [new tag] trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71 -> trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71 2025-08-26T19:47:54.9402283Z * [new tag] trunk/e836323a23f5750e800abe04ef8ca386b3066b58 -> trunk/e836323a23f5750e800abe04ef8ca386b3066b58 2025-08-26T19:47:54.9403499Z * [new tag] trunk/e83825f91cb2901567fedbf31ba7cc434a897271 -> trunk/e83825f91cb2901567fedbf31ba7cc434a897271 2025-08-26T19:47:54.9404843Z * [new tag] trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3 -> trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3 2025-08-26T19:47:54.9405764Z * [new tag] trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4 -> trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4 2025-08-26T19:47:54.9406976Z * [new tag] trunk/eba1ad09e47b66478f973e03cece7f314ac3b412 -> trunk/eba1ad09e47b66478f973e03cece7f314ac3b412 2025-08-26T19:47:54.9408046Z * [new tag] trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282 -> trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282 2025-08-26T19:47:54.9409187Z * [new tag] trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2 -> trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2 2025-08-26T19:47:54.9410347Z * [new tag] trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3 -> trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3 2025-08-26T19:47:54.9414552Z * [new tag] trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259 -> trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259 2025-08-26T19:47:54.9415446Z * [new tag] trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a -> trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a 2025-08-26T19:47:54.9416643Z * [new tag] trunk/f085f299584b06a2a7d8855eda2a411313e782ad -> trunk/f085f299584b06a2a7d8855eda2a411313e782ad 2025-08-26T19:47:54.9417713Z * [new tag] trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8 -> trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8 2025-08-26T19:47:54.9418796Z * [new tag] trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999 -> trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999 2025-08-26T19:47:54.9419743Z * [new tag] trunk/f30501937738a2440f90988d1d46920529309ba8 -> trunk/f30501937738a2440f90988d1d46920529309ba8 2025-08-26T19:47:54.9420921Z * [new tag] trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744 -> trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744 2025-08-26T19:47:54.9421739Z * [new tag] trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1 -> trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1 2025-08-26T19:47:54.9422633Z * [new tag] trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a -> trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a 2025-08-26T19:47:54.9423845Z * [new tag] trunk/f795e92802c55608ad4f4f198726d250056d0232 -> trunk/f795e92802c55608ad4f4f198726d250056d0232 2025-08-26T19:47:54.9425108Z * [new tag] trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d -> trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d 2025-08-26T19:47:54.9426259Z * [new tag] trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935 -> trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935 2025-08-26T19:47:54.9427034Z * [new tag] trunk/f912c93344caa74e24c8164a2e25fe84a8203073 -> trunk/f912c93344caa74e24c8164a2e25fe84a8203073 2025-08-26T19:47:54.9428307Z * [new tag] trunk/f9875166a953a51bbd454d963ee03d41818a27e8 -> trunk/f9875166a953a51bbd454d963ee03d41818a27e8 2025-08-26T19:47:54.9429458Z * [new tag] trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36 -> trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36 2025-08-26T19:47:54.9430521Z * [new tag] trunk/fab5dac734344105ae107e85c08151758a4a9b4d -> trunk/fab5dac734344105ae107e85c08151758a4a9b4d 2025-08-26T19:47:54.9431636Z * [new tag] trunk/fb241d0a448f1dd88471098ac149418124a7c4aa -> trunk/fb241d0a448f1dd88471098ac149418124a7c4aa 2025-08-26T19:47:54.9432883Z * [new tag] trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1 -> trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1 2025-08-26T19:47:54.9435587Z * [new tag] trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0 -> trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0 2025-08-26T19:47:54.9437225Z * [new tag] trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0 -> trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0 2025-08-26T19:47:54.9438203Z * [new tag] trunk/fecc5f600110209aaaedead11770a445b3c879e6 -> trunk/fecc5f600110209aaaedead11770a445b3c879e6 2025-08-26T19:47:54.9439372Z * [new tag] trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8 -> trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8 2025-08-26T19:47:54.9440203Z * [new tag] trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec -> trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec 2025-08-26T19:47:54.9441125Z * [new tag] v0.1.1 -> v0.1.1 2025-08-26T19:47:54.9442182Z * [new tag] v0.1.10 -> v0.1.10 2025-08-26T19:47:54.9443581Z * [new tag] v0.1.11 -> v0.1.11 2025-08-26T19:47:54.9444532Z * [new tag] v0.1.12 -> v0.1.12 2025-08-26T19:47:54.9445549Z * [new tag] v0.1.2 -> v0.1.2 2025-08-26T19:47:54.9446433Z * [new tag] v0.1.3 -> v0.1.3 2025-08-26T19:47:54.9447343Z * [new tag] v0.1.4 -> v0.1.4 2025-08-26T19:47:54.9448464Z * [new tag] v0.1.5 -> v0.1.5 2025-08-26T19:47:54.9449416Z * [new tag] v0.1.6 -> v0.1.6 2025-08-26T19:47:54.9450301Z * [new tag] v0.1.7 -> v0.1.7 2025-08-26T19:47:54.9451215Z * [new tag] v0.1.8 -> v0.1.8 2025-08-26T19:47:54.9452097Z * [new tag] v0.1.9 -> v0.1.9 2025-08-26T19:47:54.9453109Z * [new tag] v0.2.0 -> v0.2.0 2025-08-26T19:47:54.9454047Z * [new tag] v0.3.0 -> v0.3.0 2025-08-26T19:47:54.9455123Z * [new tag] v0.3.1 -> v0.3.1 2025-08-26T19:47:54.9456068Z * [new tag] v0.4.0 -> v0.4.0 2025-08-26T19:47:54.9457085Z * [new tag] v0.4.1 -> v0.4.1 2025-08-26T19:47:54.9457980Z * [new tag] v1.0.0 -> v1.0.0 2025-08-26T19:47:54.9458990Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-26T19:47:54.9459994Z * [new tag] v1.0.1 -> v1.0.1 2025-08-26T19:47:54.9461026Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-26T19:47:54.9461731Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-26T19:47:54.9462799Z * [new tag] v1.1.0 -> v1.1.0 2025-08-26T19:47:54.9463897Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-26T19:47:54.9465103Z * [new tag] v1.10.0 -> v1.10.0 2025-08-26T19:47:54.9466162Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-26T19:47:54.9467157Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-26T19:47:54.9467847Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-26T19:47:54.9469075Z * [new tag] v1.10.1 -> v1.10.1 2025-08-26T19:47:54.9469717Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-26T19:47:54.9470635Z * [new tag] v1.10.2 -> v1.10.2 2025-08-26T19:47:54.9471327Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-26T19:47:54.9472467Z * [new tag] v1.11.0 -> v1.11.0 2025-08-26T19:47:54.9473536Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-26T19:47:54.9474594Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-26T19:47:54.9475596Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-26T19:47:54.9476654Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-26T19:47:54.9477658Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-26T19:47:54.9478345Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-26T19:47:54.9479245Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-26T19:47:54.9480302Z * [new tag] v1.12.0 -> v1.12.0 2025-08-26T19:47:54.9481258Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-26T19:47:54.9482231Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-26T19:47:54.9483315Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-26T19:47:54.9484451Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-26T19:47:54.9485411Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-26T19:47:54.9486497Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-26T19:47:54.9487176Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-26T19:47:54.9488313Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-26T19:47:54.9488975Z * [new tag] v1.12.1 -> v1.12.1 2025-08-26T19:47:54.9490227Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-26T19:47:54.9491277Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-26T19:47:54.9492389Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-26T19:47:54.9493429Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-26T19:47:54.9494115Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-26T19:47:54.9495348Z * [new tag] v1.13.0 -> v1.13.0 2025-08-26T19:47:54.9496433Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-26T19:47:54.9497388Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-26T19:47:54.9498350Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-26T19:47:54.9499498Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-26T19:47:54.9500329Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-26T19:47:54.9500973Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-26T19:47:54.9502156Z * [new tag] v1.13.1 -> v1.13.1 2025-08-26T19:47:54.9502849Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-26T19:47:54.9503925Z * [new tag] v1.2.0 -> v1.2.0 2025-08-26T19:47:54.9504913Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-26T19:47:54.9506357Z * [new tag] v1.3.0 -> v1.3.0 2025-08-26T19:47:54.9507364Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-26T19:47:54.9508188Z * [new tag] v1.3.1 -> v1.3.1 2025-08-26T19:47:54.9509164Z * [new tag] v1.4.0 -> v1.4.0 2025-08-26T19:47:54.9510413Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-26T19:47:54.9511124Z * [new tag] v1.4.1 -> v1.4.1 2025-08-26T19:47:54.9512334Z * [new tag] v1.5.0 -> v1.5.0 2025-08-26T19:47:54.9513363Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-26T19:47:54.9514587Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-26T19:47:54.9515581Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-26T19:47:54.9516478Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-26T19:47:54.9517248Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-26T19:47:54.9518347Z * [new tag] v1.5.1 -> v1.5.1 2025-08-26T19:47:54.9519072Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-26T19:47:54.9519967Z * [new tag] v1.6.0 -> v1.6.0 2025-08-26T19:47:54.9521018Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-26T19:47:54.9522083Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-26T19:47:54.9523159Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-26T19:47:54.9524152Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-26T19:47:54.9525162Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-26T19:47:54.9526166Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-26T19:47:54.9527096Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-26T19:47:54.9528540Z * [new tag] v1.7.0 -> v1.7.0 2025-08-26T19:47:54.9529423Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-26T19:47:54.9530550Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-26T19:47:54.9531545Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-26T19:47:54.9532366Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-26T19:47:54.9533391Z * [new tag] v1.7.1 -> v1.7.1 2025-08-26T19:47:54.9534540Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-26T19:47:54.9535697Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-26T19:47:54.9536545Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-26T19:47:54.9537604Z * [new tag] v1.8.0 -> v1.8.0 2025-08-26T19:47:54.9538305Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-26T19:47:54.9539441Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-26T19:47:54.9540500Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-26T19:47:54.9541446Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-26T19:47:54.9542147Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-26T19:47:54.9543099Z * [new tag] v1.8.1 -> v1.8.1 2025-08-26T19:47:54.9544199Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-26T19:47:54.9544916Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-26T19:47:54.9545795Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-26T19:47:54.9547289Z * [new tag] v1.8.2 -> v1.8.2 2025-08-26T19:47:54.9548141Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-26T19:47:54.9549148Z * [new tag] v1.9.0 -> v1.9.0 2025-08-26T19:47:54.9550183Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-26T19:47:54.9551227Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-26T19:47:54.9552337Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-26T19:47:54.9553026Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-26T19:47:54.9554139Z * [new tag] v1.9.1 -> v1.9.1 2025-08-26T19:47:54.9555405Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-26T19:47:54.9556068Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-26T19:47:54.9557216Z * [new tag] v2.0.0 -> v2.0.0 2025-08-26T19:47:54.9558181Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-26T19:47:54.9559367Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-26T19:47:54.9560406Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-26T19:47:54.9561427Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-26T19:47:54.9562430Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-26T19:47:54.9563119Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-26T19:47:54.9564297Z * [new tag] v2.0.1 -> v2.0.1 2025-08-26T19:47:54.9565350Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-26T19:47:54.9566051Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-26T19:47:54.9567113Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-26T19:47:54.9568216Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-26T19:47:54.9569774Z * [new tag] v2.1.0 -> v2.1.0 2025-08-26T19:47:54.9571242Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-26T19:47:54.9572292Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-26T19:47:54.9573422Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-26T19:47:54.9574457Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-26T19:47:54.9575553Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-26T19:47:54.9576216Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-26T19:47:54.9577365Z * [new tag] v2.1.1 -> v2.1.1 2025-08-26T19:47:54.9578430Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-26T19:47:54.9579447Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-26T19:47:54.9580544Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-26T19:47:54.9581557Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-26T19:47:54.9582550Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-26T19:47:54.9583240Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-26T19:47:54.9584326Z * [new tag] v2.1.2 -> v2.1.2 2025-08-26T19:47:54.9585405Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-26T19:47:54.9586469Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-26T19:47:54.9587302Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-26T19:47:54.9588336Z * [new tag] v2.2.0 -> v2.2.0 2025-08-26T19:47:54.9589378Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-26T19:47:54.9590317Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-26T19:47:54.9591301Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-26T19:47:54.9592475Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-26T19:47:54.9593491Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-26T19:47:54.9594557Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-26T19:47:54.9595264Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-26T19:47:54.9596172Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-26T19:47:54.9597291Z * [new tag] v2.2.1 -> v2.2.1 2025-08-26T19:47:54.9598297Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-26T19:47:54.9598966Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-26T19:47:54.9599861Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-26T19:47:54.9600543Z * [new tag] v2.2.2 -> v2.2.2 2025-08-26T19:47:54.9601787Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-26T19:47:54.9602589Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-26T19:47:54.9603439Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-26T19:47:54.9604484Z * [new tag] v2.3.0 -> v2.3.0 2025-08-26T19:47:54.9605461Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-26T19:47:54.9606585Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-26T19:47:54.9607969Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-26T19:47:54.9608886Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-26T19:47:54.9609897Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-26T19:47:54.9611086Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-26T19:47:54.9612103Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-26T19:47:54.9613242Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-26T19:47:54.9613950Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-26T19:47:54.9615049Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-26T19:47:54.9616093Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-26T19:47:54.9616791Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-26T19:47:54.9617708Z * [new tag] v2.3.1 -> v2.3.1 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2025-08-26T19:47:54.9681922Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-26T19:47:54.9683110Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-26T19:47:54.9684078Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-26T19:47:54.9685170Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-26T19:47:54.9686289Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-26T19:47:54.9687278Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-26T19:47:54.9688510Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-26T19:47:54.9689485Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-26T19:47:54.9690425Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-26T19:47:55.0263951Z [command]/usr/bin/git rev-parse --verify --quiet 262640fd220236042fbf4443cc163c8838c84c3d^{object} 2025-08-26T19:47:55.0285258Z 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:47:55.0289616Z ##[endgroup] 2025-08-26T19:47:55.0289921Z ##[group]Determining the checkout info 2025-08-26T19:47:55.0290437Z ##[endgroup] 2025-08-26T19:47:55.0293949Z [command]/usr/bin/git sparse-checkout disable 2025-08-26T19:47:55.0323951Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-26T19:47:55.0346727Z ##[group]Checking out the ref 2025-08-26T19:47:55.0349629Z [command]/usr/bin/git checkout --progress --force 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:47:56.0662317Z Updating files: 87% (16896/19395) 2025-08-26T19:47:56.0770517Z Updating files: 88% (17068/19395) 2025-08-26T19:47:56.0888691Z Updating files: 89% (17262/19395) 2025-08-26T19:47:56.1045068Z Updating files: 90% (17456/19395) 2025-08-26T19:47:56.1163833Z Updating files: 91% (17650/19395) 2025-08-26T19:47:56.1285011Z Updating files: 92% (17844/19395) 2025-08-26T19:47:56.1459135Z Updating files: 93% (18038/19395) 2025-08-26T19:47:56.1644951Z Updating files: 94% (18232/19395) 2025-08-26T19:47:56.1815364Z Updating files: 95% (18426/19395) 2025-08-26T19:47:56.1956089Z Updating files: 96% (18620/19395) 2025-08-26T19:47:56.2133055Z Updating 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You can look around, make experimental 2025-08-26T19:47:56.2807239Z changes and commit them, and you can discard any commits you make in this 2025-08-26T19:47:56.2807905Z state without impacting any branches by switching back to a branch. 2025-08-26T19:47:56.2808253Z 2025-08-26T19:47:56.2808468Z If you want to create a new branch to retain commits you create, you may 2025-08-26T19:47:56.2809008Z do so (now or later) by using -c with the switch command. Example: 2025-08-26T19:47:56.2809304Z 2025-08-26T19:47:56.2809434Z git switch -c 2025-08-26T19:47:56.2809638Z 2025-08-26T19:47:56.2809746Z Or undo this operation with: 2025-08-26T19:47:56.2809946Z 2025-08-26T19:47:56.2810038Z git switch - 2025-08-26T19:47:56.2810435Z 2025-08-26T19:47:56.2810679Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-26T19:47:56.2811034Z 2025-08-26T19:47:56.2811287Z HEAD is now at 262640fd220 [ROCm][CI] restore test_flex_attention tests (#161519) 2025-08-26T19:47:56.2873978Z ##[endgroup] 2025-08-26T19:47:56.2874431Z ##[group]Setting up auth for fetching submodules 2025-08-26T19:47:56.2879744Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-26T19:47:56.2919345Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-26T19:47:56.2946117Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-26T19:47:56.2971748Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-26T19:47:56.2996666Z ##[endgroup] 2025-08-26T19:47:56.2997145Z ##[group]Fetching submodules 2025-08-26T19:47:56.3000443Z [command]/usr/bin/git submodule sync --recursive 2025-08-26T19:47:56.3299149Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-26T19:47:56.3590653Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-26T19:47:56.3592798Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-26T19:47:56.3595810Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-26T19:47:56.3833466Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-26T19:47:56.3835243Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-26T19:47:56.3840442Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-26T19:47:56.3844614Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-26T19:47:56.3849120Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-26T19:47:56.3853880Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-26T19:47:56.3863820Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-26T19:47:56.3868335Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-26T19:47:56.3873195Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-26T19:47:56.3878791Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-26T19:47:56.3883828Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-26T19:47:56.3889232Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-26T19:47:56.3895054Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-26T19:47:56.3900389Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-26T19:47:56.3909531Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-26T19:47:56.3916109Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-26T19:47:56.3922878Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-26T19:47:56.3928921Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-26T19:47:56.3934584Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-26T19:47:56.3940513Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-26T19:47:56.3946403Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-26T19:47:56.3958108Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-26T19:47:56.3964192Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-26T19:47:56.3970607Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-26T19:47:56.3976824Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-26T19:47:56.3983751Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-26T19:47:56.3990191Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-26T19:47:56.3996984Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-26T19:47:56.4003871Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-26T19:47:56.4015512Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-26T19:47:56.4022377Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-26T19:47:56.4030830Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-26T19:47:56.4036509Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-26T19:47:56.4045357Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-26T19:47:56.4076049Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-26T19:47:56.6428616Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-26T19:47:56.6430314Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-26T19:47:56.6459104Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-26T19:48:06.1913852Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-26T19:48:06.1915244Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-26T19:48:06.1916604Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-26T19:48:06.1918000Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-26T19:48:06.1919418Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-26T19:48:06.1920937Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-26T19:48:06.1922421Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-26T19:48:06.1923996Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-26T19:48:06.1925620Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-26T19:48:06.1927064Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-26T19:48:06.1928500Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-26T19:48:06.1929910Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-26T19:48:06.1931284Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-26T19:48:06.1932859Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-26T19:48:06.1934211Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-26T19:48:06.1935573Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-26T19:48:06.1937285Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-26T19:48:06.1938799Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-26T19:48:06.2210718Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-26T19:48:26.1577787Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-26T19:48:26.1667146Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-26T19:48:26.1668814Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-26T19:48:26.1670249Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-26T19:48:26.1671675Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-26T19:48:26.1673110Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-26T19:48:26.1674579Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-26T19:48:26.1676095Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-26T19:48:26.1677516Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-26T19:48:26.1678902Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-26T19:48:26.1680295Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-26T19:48:26.2579187Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-26T19:48:36.2173648Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-26T19:48:37.2684363Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-26T19:48:37.2845667Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-26T19:48:37.2969399Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-26T19:48:37.3063188Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-26T19:48:37.3309580Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-26T19:48:37.4082556Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-26T19:48:37.4655665Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-26T19:48:38.1912569Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-26T19:48:38.3456797Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-26T19:48:38.3474822Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T19:48:38.3499854Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-26T19:48:42.4221649Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-26T19:48:42.4453222Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-26T19:48:42.7613301Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-26T19:48:42.8157440Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-26T19:48:42.9122583Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-26T19:48:42.9558734Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-26T19:48:43.5846555Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-26T19:48:43.7256337Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-26T19:48:43.7276377Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-26T19:48:43.7278535Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-26T19:48:43.7280778Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-26T19:48:43.7283193Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-26T19:48:43.7285859Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-26T19:48:43.7288848Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-26T19:48:43.7291413Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-26T19:48:43.7319650Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-26T19:48:45.7372973Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-26T19:48:45.7375276Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-26T19:48:45.8373653Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-26T19:48:45.9888845Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-26T19:48:46.9313231Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-26T19:48:47.0313996Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-26T19:48:52.7467247Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-26T19:48:53.0033705Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-26T19:48:53.1031470Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-26T19:48:53.7133418Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-26T19:48:53.7598665Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-26T19:48:53.7716916Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-26T19:48:53.8736368Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-26T19:48:53.9428933Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-26T19:48:53.9447218Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T19:48:53.9449851Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-26T19:48:53.9474683Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-26T19:48:57.9057150Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-26T19:48:58.1427328Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-26T19:48:58.6991848Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-26T19:48:58.8362363Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-26T19:48:58.8699512Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-26T19:48:58.9109146Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-26T19:48:58.9354260Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-26T19:48:58.9814253Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-26T19:48:58.9944223Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-26T19:48:58.9960595Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-26T19:48:58.9984223Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-26T19:49:12.9288418Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-26T19:49:12.9489596Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-26T19:49:13.0363027Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-26T19:49:13.0380670Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T19:49:13.0382623Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T19:49:13.0385262Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T19:49:13.0412308Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-26T19:49:13.9662276Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-26T19:49:15.1784963Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-26T19:49:15.2646467Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-26T19:49:15.2663736Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T19:49:15.2665899Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T19:49:15.2668019Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T19:49:15.2670618Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T19:49:15.2673238Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T19:49:15.2676653Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T19:49:15.2678894Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T19:49:15.2681925Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T19:49:15.2712099Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-26T19:49:17.3383510Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-26T19:49:17.3385846Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-26T19:49:17.3388188Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-26T19:49:17.3390417Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-26T19:49:17.4384811Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-26T19:49:17.4386527Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-26T19:49:17.7716663Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-26T19:49:24.4311351Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-26T19:49:24.4483204Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-26T19:49:24.4845596Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-26T19:49:24.4976815Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-26T19:49:24.4990559Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T19:49:24.5013997Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-26T19:49:24.7900788Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-26T19:49:24.8086004Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-26T19:49:24.8488410Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-26T19:49:24.9492279Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-26T19:49:24.9656774Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-26T19:49:25.0049559Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-26T19:49:25.0640869Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-26T19:49:25.1066686Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-26T19:49:25.1453469Z Submodule path 'third_party/mimalloc': 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2025-08-26T19:49:46.2896250Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-08-26T19:49:46.3177380Z Entering 'android/libs/fbjni' 2025-08-26T19:49:46.3228242Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-08-26T19:49:46.3242654Z Entering 'third_party/FP16' 2025-08-26T19:49:46.3292927Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-08-26T19:49:46.3307129Z Entering 'third_party/FXdiv' 2025-08-26T19:49:46.3355729Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-08-26T19:49:46.3371507Z Entering 'third_party/NNPACK' 2025-08-26T19:49:46.3420502Z 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2025-08-26T19:49:47.2292455Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T19:49:47.2332627Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T19:49:47.2372702Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T19:49:47.2413963Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T19:49:47.2453007Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T19:49:47.2509170Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-26T19:49:47.2800564Z Entering 'android/libs/fbjni' 2025-08-26T19:49:47.2843876Z Entering 'third_party/FP16' 2025-08-26T19:49:47.2884325Z Entering 'third_party/FXdiv' 2025-08-26T19:49:47.2924367Z Entering 'third_party/NNPACK' 2025-08-26T19:49:47.2964326Z Entering 'third_party/NVTX' 2025-08-26T19:49:47.3005602Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-26T19:49:47.3045551Z Entering 'third_party/XNNPACK' 2025-08-26T19:49:47.3099863Z Entering 'third_party/aiter' 2025-08-26T19:49:47.3140372Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T19:49:47.3187918Z Entering 'third_party/benchmark' 2025-08-26T19:49:47.3238295Z Entering 'third_party/composable_kernel' 2025-08-26T19:49:47.3288864Z Entering 'third_party/cpp-httplib' 2025-08-26T19:49:47.3330028Z Entering 'third_party/cpuinfo' 2025-08-26T19:49:47.3370021Z Entering 'third_party/cudnn_frontend' 2025-08-26T19:49:47.3411097Z Entering 'third_party/cutlass' 2025-08-26T19:49:47.3463495Z Entering 'third_party/fbgemm' 2025-08-26T19:49:47.3507627Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-26T19:49:47.3546879Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-26T19:49:47.3592329Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-26T19:49:47.3632068Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-26T19:49:47.3681750Z Entering 'third_party/fbgemm/external/googletest' 2025-08-26T19:49:47.3721298Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-26T19:49:47.3760154Z Entering 'third_party/fbgemm/external/json' 2025-08-26T19:49:47.3801970Z Entering 'third_party/flash-attention' 2025-08-26T19:49:47.3845945Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T19:49:47.3893570Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-26T19:49:47.3942229Z Entering 'third_party/flatbuffers' 2025-08-26T19:49:47.3986354Z Entering 'third_party/fmt' 2025-08-26T19:49:47.4027286Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-26T19:49:47.4067497Z Entering 'third_party/gloo' 2025-08-26T19:49:47.4109625Z Entering 'third_party/googletest' 2025-08-26T19:49:47.4149585Z Entering 'third_party/ideep' 2025-08-26T19:49:47.4187996Z Entering 'third_party/ideep/mkl-dnn' 2025-08-26T19:49:47.4233791Z Entering 'third_party/ittapi' 2025-08-26T19:49:47.4274128Z Entering 'third_party/kineto' 2025-08-26T19:49:47.4315661Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T19:49:47.4354803Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T19:49:47.4396367Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T19:49:47.4435103Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T19:49:47.4475877Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T19:49:47.4514000Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T19:49:47.4556969Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T19:49:47.4601215Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T19:49:47.4651532Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T19:49:47.4692414Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T19:49:47.4734317Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T19:49:47.4774995Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T19:49:47.4818052Z Entering 'third_party/kleidiai' 2025-08-26T19:49:47.4860259Z Entering 'third_party/mimalloc' 2025-08-26T19:49:47.4901070Z Entering 'third_party/nlohmann' 2025-08-26T19:49:47.4946449Z Entering 'third_party/onnx' 2025-08-26T19:49:47.5008074Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-26T19:49:47.5052064Z Entering 'third_party/opentelemetry-cpp' 2025-08-26T19:49:47.5094970Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T19:49:47.5136643Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T19:49:47.5175467Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T19:49:47.5216108Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T19:49:47.5258377Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T19:49:47.5296535Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T19:49:47.5337799Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T19:49:47.5377551Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T19:49:47.5421242Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T19:49:47.5462551Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T19:49:47.5523180Z Entering 'third_party/pocketfft' 2025-08-26T19:49:47.5564900Z Entering 'third_party/protobuf' 2025-08-26T19:49:47.5608982Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-26T19:49:47.5648024Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-26T19:49:47.5688607Z Entering 'third_party/psimd' 2025-08-26T19:49:47.5732516Z Entering 'third_party/pthreadpool' 2025-08-26T19:49:47.5771605Z Entering 'third_party/pybind11' 2025-08-26T19:49:47.5812533Z Entering 'third_party/python-peachpy' 2025-08-26T19:49:47.5853887Z Entering 'third_party/sleef' 2025-08-26T19:49:47.5893557Z Entering 'third_party/tensorpipe' 2025-08-26T19:49:47.5935287Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T19:49:47.5973728Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T19:49:47.6012135Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T19:49:47.6050119Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T19:49:47.6087473Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T19:49:47.6139178Z ##[endgroup] 2025-08-26T19:49:47.6173036Z [command]/usr/bin/git log -1 --format=%H 2025-08-26T19:49:47.6194039Z 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:49:47.6387526Z Prepare all required actions 2025-08-26T19:49:47.6388096Z Getting action download info 2025-08-26T19:49:47.7490486Z ##[group]Run ./.github/actions/setup-linux 2025-08-26T19:49:47.7490828Z env: 2025-08-26T19:49:47.7491054Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:47.7491306Z ##[endgroup] 2025-08-26T19:49:47.7541065Z ##[group]Run set -euo pipefail 2025-08-26T19:49:47.7541424Z set -euo pipefail 2025-08-26T19:49:47.7541722Z function get_ec2_metadata() { 2025-08-26T19:49:47.7542097Z  # Pulled from instance metadata endpoint for EC2 2025-08-26T19:49:47.7542744Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-26T19:49:47.7543321Z  category=$1 2025-08-26T19:49:47.7543694Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-26T19:49:47.7544129Z  runner_name_str=i-0267e2d938a1efbdc 2025-08-26T19:49:47.7544726Z  if [[ -f /.inarc ]]; then 2025-08-26T19:49:47.7545081Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-26T19:49:47.7545470Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-26T19:49:47.7545947Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-26T19:49:47.7546386Z  else 2025-08-26T19:49:47.7547280Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-08-26T19:49:47.7548220Z  fi 2025-08-26T19:49:47.7548423Z } 2025-08-26T19:49:47.7548693Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-26T19:49:47.7549137Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-26T19:49:47.7549624Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-26T19:49:47.7550043Z echo "system info $(uname -a)" 2025-08-26T19:49:47.7558175Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:49:47.7558564Z env: 2025-08-26T19:49:47.7558785Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:47.7559037Z ##[endgroup] 2025-08-26T19:49:47.7702771Z ami-id: ami-05ffe3c48a9991133 2025-08-26T19:49:47.7800891Z instance-id: i-0267e2d938a1efbdc 2025-08-26T19:49:47.7897877Z instance-type: c5.2xlarge 2025-08-26T19:49:47.7907366Z system info Linux ip-10-1-43-215.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-26T19:49:47.7939418Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T19:49:47.7940405Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T19:49:47.7946500Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:49:47.7946934Z env: 2025-08-26T19:49:47.7947158Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:47.7947426Z ##[endgroup] 2025-08-26T19:49:47.8007588Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-26T19:49:47.8008065Z if systemctl is-active --quiet docker; then 2025-08-26T19:49:47.8008465Z  echo "Docker daemon is running..."; 2025-08-26T19:49:47.8008805Z else 2025-08-26T19:49:47.8009158Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-26T19:49:47.8009607Z fi 2025-08-26T19:49:47.8015448Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:49:47.8015843Z env: 2025-08-26T19:49:47.8016053Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:47.8016322Z ##[endgroup] 2025-08-26T19:49:47.8092412Z Docker daemon is running... 2025-08-26T19:49:47.8286670Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-26T19:49:47.8286986Z with: 2025-08-26T19:49:47.8287202Z shell: bash 2025-08-26T19:49:47.8287740Z timeout_minutes: 5 2025-08-26T19:49:47.8287996Z max_attempts: 3 2025-08-26T19:49:47.8288268Z retry_wait_seconds: 30 2025-08-26T19:49:47.8290632Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-08-26T19:49:47.8293034Z polling_interval_seconds: 1 2025-08-26T19:49:47.8293325Z warning_on_retry: true 2025-08-26T19:49:47.8293592Z continue_on_error: false 2025-08-26T19:49:47.8293950Z env: 2025-08-26T19:49:47.8294168Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:47.8294444Z AWS_RETRY_MODE: standard 2025-08-26T19:49:47.8294718Z AWS_MAX_ATTEMPTS: 5 2025-08-26T19:49:47.8294970Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T19:49:47.8295249Z ##[endgroup] 2025-08-26T19:49:49.0776647Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-26T19:49:49.0777302Z Configure a credential helper to remove this warning. See 2025-08-26T19:49:49.0777897Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T19:49:49.0778337Z 2025-08-26T19:49:49.0778448Z Login Succeeded 2025-08-26T19:49:49.6339056Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-26T19:49:49.6339981Z Configure a credential helper to remove this warning. See 2025-08-26T19:49:49.6340856Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T19:49:49.6341459Z 2025-08-26T19:49:49.6341670Z Login Succeeded 2025-08-26T19:49:49.9115946Z Command completed after 1 attempt(s). 2025-08-26T19:49:49.9176693Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T19:49:49.9177247Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T19:49:49.9177721Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T19:49:49.9184573Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:49:49.9184967Z env: 2025-08-26T19:49:49.9185281Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:49.9185562Z ##[endgroup] 2025-08-26T19:49:49.9275900Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T19:49:49.9276510Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T19:49:49.9276962Z # shellcheck disable=SC2046 2025-08-26T19:49:49.9277315Z docker stop $(docker ps -q) || true 2025-08-26T19:49:49.9277666Z # Prune all of the docker images 2025-08-26T19:49:49.9278044Z docker system prune -af 2025-08-26T19:49:49.9283575Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:49:49.9283970Z env: 2025-08-26T19:49:49.9284202Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:49.9284483Z ##[endgroup] 2025-08-26T19:49:49.9510225Z "docker stop" requires at least 1 argument. 2025-08-26T19:49:49.9510652Z See 'docker stop --help'. 2025-08-26T19:49:49.9510846Z 2025-08-26T19:49:49.9511017Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-26T19:49:49.9511310Z 2025-08-26T19:49:49.9511424Z Stop one or more running containers 2025-08-26T19:49:49.9693700Z Total reclaimed space: 0B 2025-08-26T19:49:49.9732483Z ##[group]Run set +e 2025-08-26T19:49:49.9732956Z set +e 2025-08-26T19:49:49.9733364Z set -x 2025-08-26T19:49:49.9733726Z  2025-08-26T19:49:49.9734119Z PT_DOMAIN=download.pytorch.org 2025-08-26T19:49:49.9735149Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-26T19:49:49.9736732Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-26T19:49:49.9737659Z # one is returned at random 2025-08-26T19:49:49.9738329Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-26T19:49:49.9738980Z  2025-08-26T19:49:49.9739370Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-26T19:49:49.9740130Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-26T19:49:49.9740977Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-26T19:49:49.9741634Z  2025-08-26T19:49:49.9741973Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-26T19:49:49.9742582Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-26T19:49:49.9743194Z  exit 1 2025-08-26T19:49:49.9743564Z  fi 2025-08-26T19:49:49.9743922Z fi 2025-08-26T19:49:49.9744514Z  2025-08-26T19:49:49.9744971Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-26T19:49:49.9745549Z  # Clean up any old records first 2025-08-26T19:49:49.9746165Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-26T19:49:49.9746708Z fi 2025-08-26T19:49:49.9747048Z  2025-08-26T19:49:49.9747527Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-26T19:49:49.9748373Z cat /etc/hosts 2025-08-26T19:49:49.9756743Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:49:49.9757413Z env: 2025-08-26T19:49:49.9757756Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:49.9758195Z ##[endgroup] 2025-08-26T19:49:49.9788001Z + PT_DOMAIN=download.pytorch.org 2025-08-26T19:49:49.9793250Z ++ dig -4 +short download.pytorch.org 2025-08-26T19:49:49.9794002Z ++ tail -n1 2025-08-26T19:49:50.0053157Z + RESOLVED_IP=18.160.10.22 2025-08-26T19:49:50.0053616Z + '[' -z 18.160.10.22 ']' 2025-08-26T19:49:50.0053978Z + grep -r download.pytorch.org /etc/hosts 2025-08-26T19:49:50.0068025Z + echo '18.160.10.22 download.pytorch.org' 2025-08-26T19:49:50.0068694Z + sudo tee -a /etc/hosts 2025-08-26T19:49:50.2982496Z 18.160.10.22 download.pytorch.org 2025-08-26T19:49:50.2998507Z + cat /etc/hosts 2025-08-26T19:49:50.3007552Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-26T19:49:50.3014294Z ::1 localhost6 localhost6.localdomain6 2025-08-26T19:49:50.3015023Z 18.160.10.22 download.pytorch.org 2025-08-26T19:49:50.3193266Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-26T19:49:50.3193769Z with: 2025-08-26T19:49:50.3194524Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:50.3195398Z use-custom-docker-registry: true 2025-08-26T19:49:50.3195707Z docker-build-dir: .ci/docker 2025-08-26T19:49:50.3196030Z docker-build-script: ./build.sh 2025-08-26T19:49:50.3196333Z working-directory: . 2025-08-26T19:49:50.3196693Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:49:50.3197093Z force-push: false 2025-08-26T19:49:50.3197325Z env: 2025-08-26T19:49:50.3197541Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:50.3197804Z ##[endgroup] 2025-08-26T19:49:50.3226837Z ##[group]Run set -ex 2025-08-26T19:49:50.3227157Z set -ex 2025-08-26T19:49:50.3227385Z  2025-08-26T19:49:50.3227844Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-26T19:49:50.3228540Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-26T19:49:50.3229116Z # job could then download the pre-built image as usual 2025-08-26T19:49:50.3229827Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-26T19:49:50.3230510Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-26T19:49:50.3230849Z else 2025-08-26T19:49:50.3231113Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-26T19:49:50.3231554Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-26T19:49:50.3231970Z  2025-08-26T19:49:50.3232541Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-26T19:49:50.3233196Z  exit 0 2025-08-26T19:49:50.3233409Z fi 2025-08-26T19:49:50.3233619Z  2025-08-26T19:49:50.3233962Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-26T19:49:50.3234582Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-26T19:49:50.3235133Z  # use it as it is, but first let's extract the tag 2025-08-26T19:49:50.3235758Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-26T19:49:50.3236285Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-26T19:49:50.3236795Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-26T19:49:50.3237214Z else 2025-08-26T19:49:50.3237486Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-26T19:49:50.3237866Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-26T19:49:50.3238274Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-26T19:49:50.3238617Z  fi 2025-08-26T19:49:50.3239077Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-26T19:49:50.3239693Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-26T19:49:50.3240346Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-26T19:49:50.3241070Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-26T19:49:50.3241509Z fi 2025-08-26T19:49:50.3250071Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:49:50.3250445Z env: 2025-08-26T19:49:50.3250669Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:50.3250941Z REPO_NAME: pytorch 2025-08-26T19:49:50.3251881Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:50.3252713Z DOCKER_BUILD_DIR: .ci/docker 2025-08-26T19:49:50.3252993Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-26T19:49:50.3253383Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:49:50.3253796Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-26T19:49:50.3254091Z CUSTOM_TAG_PREFIX: 2025-08-26T19:49:50.3254323Z ##[endgroup] 2025-08-26T19:49:50.3280213Z + [[ -d .ci/docker ]] 2025-08-26T19:49:50.3280518Z + [[ -f .ci/docker/./build.sh ]] 2025-08-26T19:49:50.3280822Z + [[ true == \t\r\u\e ]] 2025-08-26T19:49:50.3281088Z + echo skip=false 2025-08-26T19:49:50.3282121Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-08-26T19:49:50.3288206Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:50.3289105Z ++ awk -F '[:,]' '{print $2}' 2025-08-26T19:49:50.3308888Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:50.3309679Z + echo docker-tag=pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:50.3311011Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:50.3345404Z ##[group]Run set +e 2025-08-26T19:49:50.3345722Z set +e 2025-08-26T19:49:50.3345964Z set -x 2025-08-26T19:49:50.3346195Z  2025-08-26T19:49:50.3346399Z login() { 2025-08-26T19:49:50.3346895Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-26T19:49:50.3347433Z } 2025-08-26T19:49:50.3347650Z  2025-08-26T19:49:50.3347864Z retry () { 2025-08-26T19:49:50.3348144Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-26T19:49:50.3348469Z } 2025-08-26T19:49:50.3348681Z  2025-08-26T19:49:50.3348910Z retry login "${DOCKER_REGISTRY}" 2025-08-26T19:49:50.3349222Z  2025-08-26T19:49:50.3349448Z START_TIME=$(date +%s) 2025-08-26T19:49:50.3349751Z # Wait up to 120 minutes 2025-08-26T19:49:50.3350128Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-26T19:49:50.3350767Z  # Check if image already exists, if it does then skip building it 2025-08-26T19:49:50.3351284Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-26T19:49:50.3351662Z  exit 0 2025-08-26T19:49:50.3351906Z  fi 2025-08-26T19:49:50.3352113Z  2025-08-26T19:49:50.3352508Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-26T19:49:50.3353202Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-26T19:49:50.3353889Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-26T19:49:50.3354433Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-26T19:49:50.3354836Z  # It's a Docker build job, let's build the image 2025-08-26T19:49:50.3355197Z  break 2025-08-26T19:49:50.3355433Z  else 2025-08-26T19:49:50.3355790Z  # It's a regular build job, wait for the image to become available 2025-08-26T19:49:50.3356203Z  sleep 300 2025-08-26T19:49:50.3356456Z  fi 2025-08-26T19:49:50.3356678Z done 2025-08-26T19:49:50.3356900Z  2025-08-26T19:49:50.3357247Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-26T19:49:50.3357837Z # be empty. The default action would be to continue rebuild the image 2025-08-26T19:49:50.3358469Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-26T19:49:50.3358944Z  # if we're on the base branch then use the parent commit 2025-08-26T19:49:50.3359364Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-26T19:49:50.3359679Z else 2025-08-26T19:49:50.3360016Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-26T19:49:50.3360509Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-26T19:49:50.3360893Z fi 2025-08-26T19:49:50.3361096Z  2025-08-26T19:49:50.3361336Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-26T19:49:50.3361703Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-26T19:49:50.3362049Z  2025-08-26T19:49:50.3362518Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-26T19:49:50.3363091Z  exit 0 2025-08-26T19:49:50.3363323Z fi 2025-08-26T19:49:50.3363540Z  2025-08-26T19:49:50.3363853Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-26T19:49:50.3364550Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-26T19:49:50.3365164Z  exit 1 2025-08-26T19:49:50.3365394Z fi 2025-08-26T19:49:50.3365609Z  2025-08-26T19:49:50.3365969Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-26T19:49:50.3366653Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-26T19:49:50.3367263Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-26T19:49:50.3368073Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-26T19:49:50.3368879Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-26T19:49:50.3369342Z fi 2025-08-26T19:49:50.3369598Z  2025-08-26T19:49:50.3369866Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-26T19:49:50.3375557Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:49:50.3375954Z env: 2025-08-26T19:49:50.3376164Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:50.3376452Z DOCKER_BUILD_DIR: .ci/docker 2025-08-26T19:49:50.3376803Z BASE_REVISION: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:49:50.3377778Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:50.3378797Z DOCKER_TAG: pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:50.3379427Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:49:50.3379834Z DOCKER_PUSH: 2025-08-26T19:49:50.3380070Z ##[endgroup] 2025-08-26T19:49:50.3403062Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:49:50.3403510Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:49:50.3406098Z + aws ecr get-login-password --region us-east-1 2025-08-26T19:49:50.3406953Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:49:50.8938537Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-26T19:49:50.8939212Z Configure a credential helper to remove this warning. See 2025-08-26T19:49:50.8939862Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T19:49:50.8940261Z 2025-08-26T19:49:50.8944162Z Login Succeeded 2025-08-26T19:49:50.8956076Z ++ date +%s 2025-08-26T19:49:50.8964796Z + START_TIME=1756237790 2025-08-26T19:49:50.8968906Z ++ date +%s 2025-08-26T19:49:50.8977233Z + [[ 1756230590 -lt 1756237790 ]] 2025-08-26T19:49:50.8978374Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:51.1312728Z { 2025-08-26T19:49:51.1313186Z "schemaVersion": 2, 2025-08-26T19:49:51.1313914Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-26T19:49:51.1314487Z "config": { 2025-08-26T19:49:51.1314820Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-26T19:49:51.1315335Z "size": 29852, 2025-08-26T19:49:51.1315939Z "digest": "sha256:2e0b22718e2b645e6768f7829b423620a8ac99b1916dfeb4d99c2a1f30b64267" 2025-08-26T19:49:51.1316799Z }, 2025-08-26T19:49:51.1317087Z "layers": [ 2025-08-26T19:49:51.1317285Z { 2025-08-26T19:49:51.1317617Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:49:51.1318042Z "size": 30448173, 2025-08-26T19:49:51.1318454Z "digest": "sha256:660ffc76f83b006444a5731b215acc2e35138d8be5cac8ed1ffd40f947117495" 2025-08-26T19:49:51.1318933Z }, 2025-08-26T19:49:51.1319129Z { 2025-08-26T19:49:51.1319472Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:49:51.1319889Z "size": 1554, 2025-08-26T19:49:51.1320278Z "digest": "sha256:1886e94d171a1235c97705855bd007eb1825b089270b899c7c8682998d3273b1" 2025-08-26T19:49:51.1320744Z }, 2025-08-26T19:49:51.1320933Z { 2025-08-26T19:49:51.1321248Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:49:51.1321668Z "size": 344950376, 2025-08-26T19:49:51.1322103Z "digest": 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"sha256:9db4a652d78239d3e898c113dd26f0d63f4f46fe725e19640733e924cff5c0a9" 2025-08-26T19:49:51.1470081Z }, 2025-08-26T19:49:51.1470278Z { 2025-08-26T19:49:51.1470606Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T19:49:51.1471016Z "size": 32, 2025-08-26T19:49:51.1471424Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-26T19:49:51.1471903Z } 2025-08-26T19:49:51.1472094Z ] 2025-08-26T19:49:51.1472270Z } 2025-08-26T19:49:51.1508827Z ##[group]Run set -eux 2025-08-26T19:49:51.1509106Z set -eux 2025-08-26T19:49:51.1509521Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-08-26T19:49:51.1510906Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-08-26T19:49:51.1520291Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:49:51.1520678Z env: 2025-08-26T19:49:51.1520897Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:51.1521150Z ##[endgroup] 2025-08-26T19:49:51.1547806Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-26T19:49:51.1548964Z + jq --raw-output .SecretString 2025-08-26T19:49:51.1549923Z + jq -r .docker_hub_readonly_token 2025-08-26T19:49:51.1551620Z + docker login --username pytorchbot --password-stdin 2025-08-26T19:49:51.7569589Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-26T19:49:51.7570229Z Configure a credential helper to remove this warning. See 2025-08-26T19:49:51.7570971Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T19:49:51.7571722Z 2025-08-26T19:49:51.7571889Z Login Succeeded 2025-08-26T19:49:51.7663182Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-26T19:49:51.7663557Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-26T19:49:51.7664102Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-26T19:49:51.7670230Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:49:51.7670620Z env: 2025-08-26T19:49:51.7670837Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:51.7671621Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:51.7672432Z ##[endgroup] 2025-08-26T19:49:51.7697759Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:51.7765206Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-26T19:49:51.7765665Z with: 2025-08-26T19:49:51.7766395Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:51.7767493Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:49:51.7767917Z env: 2025-08-26T19:49:51.7768141Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:51.7768414Z ##[endgroup] 2025-08-26T19:49:51.7791816Z ##[group]Run set -x 2025-08-26T19:49:51.7792097Z set -x 2025-08-26T19:49:51.7792331Z set +e 2025-08-26T19:49:51.7792557Z  2025-08-26T19:49:51.7792761Z login() { 2025-08-26T19:49:51.7793253Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-26T19:49:51.7793789Z } 2025-08-26T19:49:51.7794004Z  2025-08-26T19:49:51.7794276Z retry () { 2025-08-26T19:49:51.7794561Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-26T19:49:51.7794872Z } 2025-08-26T19:49:51.7795090Z  2025-08-26T19:49:51.7795329Z retry login "${DOCKER_REGISTRY}" 2025-08-26T19:49:51.7795643Z  2025-08-26T19:49:51.7796133Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-26T19:49:51.7796834Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-26T19:49:51.7797218Z  2025-08-26T19:49:51.7797430Z set -e 2025-08-26T19:49:51.7797768Z # ignore output since only exit code is used for conditional 2025-08-26T19:49:51.7798282Z # only pull docker image if it's not available locally 2025-08-26T19:49:51.7798838Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-26T19:49:51.7799364Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-26T19:49:51.7799696Z fi 2025-08-26T19:49:51.7805282Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:49:51.7805676Z env: 2025-08-26T19:49:51.7805901Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:49:51.7806679Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:51.7807688Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:49:51.7808090Z ##[endgroup] 2025-08-26T19:49:51.7830919Z + set +e 2025-08-26T19:49:51.7831658Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:49:51.7832128Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:49:51.7834489Z + aws ecr get-login-password --region us-east-1 2025-08-26T19:49:51.7835281Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T19:49:52.3270760Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-26T19:49:52.3271462Z Configure a credential helper to remove this warning. See 2025-08-26T19:49:52.3272125Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T19:49:52.3272671Z 2025-08-26T19:49:52.3272779Z Login Succeeded 2025-08-26T19:49:52.3288746Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:52.3289915Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-26T19:49:52.5399871Z + IMAGE_SIZE=7571.9749755859375 2025-08-26T19:49:52.5400309Z + echo 'Compressed size of image in MB: 7571.9749755859375' 2025-08-26T19:49:52.5400701Z + set -e 2025-08-26T19:49:52.5401497Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:52.5402762Z Compressed size of image in MB: 7571.9749755859375 2025-08-26T19:49:52.5513217Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:52.5514557Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:49:52.7650877Z pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6: Pulling from pytorch/ci-image 2025-08-26T19:49:52.7654869Z 660ffc76f83b: Pulling fs layer 2025-08-26T19:49:52.7655880Z 1886e94d171a: Pulling fs layer 2025-08-26T19:49:52.7656462Z 6b629215fb2f: Pulling fs layer 2025-08-26T19:49:52.7656889Z bb24d058e7d7: Pulling fs layer 2025-08-26T19:49:52.7657340Z a70ca1425723: Pulling fs layer 2025-08-26T19:49:52.7657812Z 5a99dc4b9031: Pulling fs layer 2025-08-26T19:49:52.7658252Z 37c673c04d0e: Pulling fs layer 2025-08-26T19:49:52.7658675Z 122a222fa3c9: Pulling fs layer 2025-08-26T19:49:52.7659137Z e179204fb3ad: Pulling fs layer 2025-08-26T19:49:52.7659575Z b000d776a37b: Pulling fs layer 2025-08-26T19:49:52.7659882Z 5a2cf786e47e: Pulling fs layer 2025-08-26T19:49:52.7660148Z bb24d058e7d7: Waiting 2025-08-26T19:49:52.7660514Z a70ca1425723: Waiting 2025-08-26T19:49:52.7660851Z 77fb94c39e3a: Pulling fs layer 2025-08-26T19:49:52.7661257Z b01d3257ff75: Pulling fs layer 2025-08-26T19:49:52.7661603Z 32e20b21193f: Pulling fs layer 2025-08-26T19:49:52.7661886Z 4f4fb700ef54: Pulling fs layer 2025-08-26T19:49:52.7662215Z 5a99dc4b9031: Waiting 2025-08-26T19:49:52.7662464Z 37c673c04d0e: Waiting 2025-08-26T19:49:52.7662693Z 122a222fa3c9: Waiting 2025-08-26T19:49:52.7662984Z e179204fb3ad: Waiting 2025-08-26T19:49:52.7663232Z 1430525451c1: Pulling fs layer 2025-08-26T19:49:52.7663501Z b000d776a37b: Waiting 2025-08-26T19:49:52.7663797Z 72ca435dfdb2: Pulling fs layer 2025-08-26T19:49:52.7664078Z 42914bb239b9: Pulling fs layer 2025-08-26T19:49:52.7664349Z 677741498059: Pulling fs layer 2025-08-26T19:49:52.7664689Z 5a2cf786e47e: Waiting 2025-08-26T19:49:52.7664925Z a0889c2a1076: Pulling fs layer 2025-08-26T19:49:52.7665255Z f2fe503c4048: Pulling fs layer 2025-08-26T19:49:52.7665537Z 97e480b3a189: Pulling fs layer 2025-08-26T19:49:52.7665815Z 0d709f66a775: Pulling fs layer 2025-08-26T19:49:52.7666071Z 77fb94c39e3a: Waiting 2025-08-26T19:49:52.7666322Z f27708f735e0: Pulling fs layer 2025-08-26T19:49:52.7666609Z 8f2a63de5bce: Pulling fs layer 2025-08-26T19:49:52.7666897Z 8d5e198f0dee: Pulling fs layer 2025-08-26T19:49:52.7667156Z b01d3257ff75: Waiting 2025-08-26T19:49:52.7667393Z 1430525451c1: Waiting 2025-08-26T19:49:52.7667640Z 3902c1dfc033: Pulling fs layer 2025-08-26T19:49:52.7667924Z 96d0a1f798b4: Pulling fs layer 2025-08-26T19:49:52.7668184Z 32e20b21193f: Waiting 2025-08-26T19:49:52.7668425Z 97e480b3a189: Waiting 2025-08-26T19:49:52.7668666Z 832154830024: Pulling fs layer 2025-08-26T19:49:52.7668936Z 72ca435dfdb2: Waiting 2025-08-26T19:49:52.7669162Z 4f4fb700ef54: Waiting 2025-08-26T19:49:52.7669402Z 42914bb239b9: Waiting 2025-08-26T19:49:52.7669652Z f93dc34f74ba: Pulling fs layer 2025-08-26T19:49:52.7669909Z 677741498059: Waiting 2025-08-26T19:49:52.7670144Z 8f2a63de5bce: Waiting 2025-08-26T19:49:52.7670383Z 0d709f66a775: Waiting 2025-08-26T19:49:52.7670619Z a0889c2a1076: Waiting 2025-08-26T19:49:52.7670841Z f27708f735e0: Waiting 2025-08-26T19:49:52.7671079Z 96d0a1f798b4: Waiting 2025-08-26T19:49:52.7671554Z f2fe503c4048: Waiting 2025-08-26T19:49:52.7671813Z 184ccdc8f7bc: Pulling fs layer 2025-08-26T19:49:52.7672090Z af08306ea851: Pulling fs layer 2025-08-26T19:49:52.7672382Z 799d1a319b3c: Pulling fs layer 2025-08-26T19:49:52.7672656Z 3902c1dfc033: Waiting 2025-08-26T19:49:52.7672895Z 8d5e198f0dee: Waiting 2025-08-26T19:49:52.7673122Z 184ccdc8f7bc: Waiting 2025-08-26T19:49:52.7673369Z 583397be5f05: Pulling fs layer 2025-08-26T19:49:52.7673646Z 9525150e2811: Pulling fs layer 2025-08-26T19:49:52.7673966Z 799d1a319b3c: Waiting 2025-08-26T19:49:52.7674230Z 832154830024: Waiting 2025-08-26T19:49:52.7674633Z 74d3c03ad83a: Pulling fs layer 2025-08-26T19:49:52.7674957Z 583397be5f05: Waiting 2025-08-26T19:49:52.7675194Z 9525150e2811: Waiting 2025-08-26T19:49:52.7675427Z 6b8b80b65b19: Pulling fs layer 2025-08-26T19:49:52.7675706Z 74d3c03ad83a: Waiting 2025-08-26T19:49:52.7675957Z 1c9089e86c8b: Pulling fs layer 2025-08-26T19:49:52.7676228Z 6b8b80b65b19: Waiting 2025-08-26T19:49:52.7676499Z 1c9089e86c8b: Waiting 2025-08-26T19:49:52.7676741Z 999c9567620d: Pulling fs layer 2025-08-26T19:49:52.7677011Z af08306ea851: Waiting 2025-08-26T19:49:52.7677259Z a4d63d52ea58: Pulling fs layer 2025-08-26T19:49:52.7677532Z 8b85abfadc51: Pulling fs layer 2025-08-26T19:49:52.7677824Z 999c9567620d: Waiting 2025-08-26T19:49:52.7678074Z a4d63d52ea58: Waiting 2025-08-26T19:49:52.7678328Z 4c3dd6cec587: Pulling fs layer 2025-08-26T19:49:52.7678708Z facccc4ef145: Pulling fs layer 2025-08-26T19:49:52.7679031Z 4c3dd6cec587: Waiting 2025-08-26T19:49:52.7679286Z 3ef3276e60ae: Pulling fs layer 2025-08-26T19:49:52.7679626Z 8b85abfadc51: Waiting 2025-08-26T19:49:52.7679872Z af4057337fa5: Pulling fs layer 2025-08-26T19:49:52.7680160Z 5eb827f6cc6c: Pulling fs layer 2025-08-26T19:49:52.7680446Z 3c9c01c9ab41: Pulling fs layer 2025-08-26T19:49:52.7680722Z af4057337fa5: Waiting 2025-08-26T19:49:52.7680948Z 5eb827f6cc6c: Waiting 2025-08-26T19:49:52.7681196Z e6c1ce81683d: Pulling fs layer 2025-08-26T19:49:52.7681479Z d765cd01dba8: Pulling fs layer 2025-08-26T19:49:52.7681766Z 3c9c01c9ab41: Waiting 2025-08-26T19:49:52.7681996Z d765cd01dba8: Waiting 2025-08-26T19:49:52.7682232Z e6c1ce81683d: Waiting 2025-08-26T19:49:52.7682481Z 572dab535ff8: Pulling fs layer 2025-08-26T19:49:52.7682764Z 56df4ae07ef6: Pulling fs layer 2025-08-26T19:49:52.7683035Z a67c68a3dbe9: Pulling fs layer 2025-08-26T19:49:52.7683320Z c9f82fea8d22: Pulling fs layer 2025-08-26T19:49:52.7683596Z 572dab535ff8: Waiting 2025-08-26T19:49:52.7683841Z 56df4ae07ef6: Waiting 2025-08-26T19:49:52.7684082Z f1dc428df16d: Pulling fs layer 2025-08-26T19:49:52.7684360Z a67c68a3dbe9: Waiting 2025-08-26T19:49:52.7684624Z afad8dd1ea3e: Pulling fs layer 2025-08-26T19:49:52.7684906Z c9f82fea8d22: Waiting 2025-08-26T19:49:52.7685148Z 2aa394ed88a5: Pulling fs layer 2025-08-26T19:49:52.7685436Z ac10e6f717cf: Pulling fs layer 2025-08-26T19:49:52.7685720Z f1dc428df16d: Waiting 2025-08-26T19:49:52.7685981Z 539d63c8f20d: Pulling fs layer 2025-08-26T19:49:52.7686257Z b432ff980518: Pulling fs layer 2025-08-26T19:49:52.7686553Z b3bf75712c99: Pulling fs layer 2025-08-26T19:49:52.7686840Z 88de9388a01f: Pulling fs layer 2025-08-26T19:49:52.7687121Z afad8dd1ea3e: Waiting 2025-08-26T19:49:52.7687356Z 539d63c8f20d: Waiting 2025-08-26T19:49:52.7687699Z 312ed51ce389: Pulling fs layer 2025-08-26T19:49:52.7687980Z b3bf75712c99: Waiting 2025-08-26T19:49:52.7688233Z 9db4a652d782: Pulling fs layer 2025-08-26T19:49:52.7688493Z 2aa394ed88a5: Waiting 2025-08-26T19:49:52.7688740Z 88de9388a01f: Waiting 2025-08-26T19:49:52.7688977Z 312ed51ce389: Waiting 2025-08-26T19:49:52.7689213Z 9db4a652d782: Waiting 2025-08-26T19:49:52.7689435Z b432ff980518: Waiting 2025-08-26T19:49:52.7689681Z ac10e6f717cf: Waiting 2025-08-26T19:49:52.8830645Z 1886e94d171a: Verifying Checksum 2025-08-26T19:49:52.8831196Z 1886e94d171a: Download complete 2025-08-26T19:49:52.9443790Z bb24d058e7d7: Verifying Checksum 2025-08-26T19:49:52.9444317Z bb24d058e7d7: Download complete 2025-08-26T19:49:53.1276509Z 660ffc76f83b: Verifying Checksum 2025-08-26T19:49:53.1277317Z 660ffc76f83b: Download complete 2025-08-26T19:49:53.2111549Z 5a99dc4b9031: Verifying Checksum 2025-08-26T19:49:53.2112093Z 5a99dc4b9031: Download complete 2025-08-26T19:49:53.2911401Z 37c673c04d0e: Download complete 2025-08-26T19:49:53.3603196Z 122a222fa3c9: Verifying Checksum 2025-08-26T19:49:53.3603723Z 122a222fa3c9: Download complete 2025-08-26T19:49:53.4462599Z e179204fb3ad: Verifying Checksum 2025-08-26T19:49:53.4463242Z e179204fb3ad: Download complete 2025-08-26T19:49:53.5143347Z b000d776a37b: Verifying Checksum 2025-08-26T19:49:53.5143958Z b000d776a37b: Download complete 2025-08-26T19:49:53.6167820Z 5a2cf786e47e: Download complete 2025-08-26T19:49:53.6213067Z a70ca1425723: Verifying Checksum 2025-08-26T19:49:53.6213601Z a70ca1425723: Download complete 2025-08-26T19:49:53.6901152Z 77fb94c39e3a: Verifying Checksum 2025-08-26T19:49:53.6901650Z 77fb94c39e3a: Download complete 2025-08-26T19:49:53.7104594Z b01d3257ff75: Verifying Checksum 2025-08-26T19:49:53.7105059Z b01d3257ff75: Download complete 2025-08-26T19:49:53.7191787Z 4f4fb700ef54: Verifying Checksum 2025-08-26T19:49:53.7192223Z 4f4fb700ef54: Download complete 2025-08-26T19:49:53.7892067Z 1430525451c1: Download complete 2025-08-26T19:49:53.8700436Z 72ca435dfdb2: Verifying Checksum 2025-08-26T19:49:53.8700813Z 72ca435dfdb2: Download complete 2025-08-26T19:49:54.0321599Z 677741498059: Download complete 2025-08-26T19:49:54.0667186Z 660ffc76f83b: Pull complete 2025-08-26T19:49:54.0878001Z 1886e94d171a: Pull complete 2025-08-26T19:49:54.1048973Z a0889c2a1076: Verifying Checksum 2025-08-26T19:49:54.1049340Z a0889c2a1076: Download complete 2025-08-26T19:49:54.1827411Z f2fe503c4048: Verifying Checksum 2025-08-26T19:49:54.1827852Z f2fe503c4048: Download complete 2025-08-26T19:49:54.2571901Z 97e480b3a189: Download complete 2025-08-26T19:49:54.3179641Z 0d709f66a775: Verifying Checksum 2025-08-26T19:49:54.3180077Z 0d709f66a775: Download complete 2025-08-26T19:49:54.4063419Z f27708f735e0: Verifying Checksum 2025-08-26T19:49:54.4063919Z f27708f735e0: Download complete 2025-08-26T19:49:54.5017742Z 8f2a63de5bce: Verifying Checksum 2025-08-26T19:49:54.5018182Z 8f2a63de5bce: Download complete 2025-08-26T19:49:54.5778425Z 8d5e198f0dee: Verifying Checksum 2025-08-26T19:49:54.5779036Z 8d5e198f0dee: Download complete 2025-08-26T19:49:54.6388271Z 3902c1dfc033: Verifying Checksum 2025-08-26T19:49:54.6388858Z 3902c1dfc033: Download complete 2025-08-26T19:49:56.2698878Z 6b629215fb2f: Verifying Checksum 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2025-08-26T19:54:10.9668531Z b432ff980518: Pull complete 2025-08-26T19:54:11.0244540Z b3bf75712c99: Pull complete 2025-08-26T19:54:11.1147990Z 88de9388a01f: Pull complete 2025-08-26T19:54:11.2316659Z 312ed51ce389: Pull complete 2025-08-26T19:54:13.0585015Z 9db4a652d782: Pull complete 2025-08-26T19:54:13.2243437Z Digest: sha256:874936ab9276a979f0cfa4860bcb551c2cda08091b4dd977f38d06238127ae63 2025-08-26T19:54:13.2401594Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:54:13.2474126Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:54:13.2525901Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T19:54:13.2526969Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T19:54:13.2534559Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:54:13.2535001Z env: 2025-08-26T19:54:13.2535238Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:13.2535531Z ##[endgroup] 2025-08-26T19:54:13.3182222Z Prepare all required actions 2025-08-26T19:54:13.3226251Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-26T19:54:13.3226621Z with: 2025-08-26T19:54:13.3227419Z github-token: *** 2025-08-26T19:54:13.3227703Z env: 2025-08-26T19:54:13.3227962Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:13.3228266Z ##[endgroup] 2025-08-26T19:54:13.3257338Z ##[group]Run set -eux 2025-08-26T19:54:13.3257654Z set -eux 2025-08-26T19:54:13.3258153Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-26T19:54:13.3264769Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:54:13.3265251Z env: 2025-08-26T19:54:13.3265503Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:13.3266021Z GITHUB_TOKEN: *** 2025-08-26T19:54:13.3266281Z ##[endgroup] 2025-08-26T19:54:13.3295839Z + python3 .github/scripts/get_workflow_job_id.py 17248463620 i-0267e2d938a1efbdc 2025-08-26T19:54:15.2343118Z Setting output job-id=48945287514 2025-08-26T19:54:15.2344019Z Setting output job-name=linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) 2025-08-26T19:54:15.2551792Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-26T19:54:15.2552597Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-26T19:54:15.2553603Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-26T19:54:15.2554709Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-26T19:54:15.2560728Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:54:15.2561132Z env: 2025-08-26T19:54:15.2561370Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:15.2561656Z JOB_ID: 48945287514 2025-08-26T19:54:15.2562075Z JOB_NAME: linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) 2025-08-26T19:54:15.2562595Z WORKFLOW_NAME: pull 2025-08-26T19:54:15.2562918Z WORKFLOW_RUN_ID: 17248463620 2025-08-26T19:54:15.2563283Z MONITOR_LOG_INTERVAL: 5 2025-08-26T19:54:15.2563580Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-26T19:54:15.2563894Z ##[endgroup] 2025-08-26T19:54:17.4442502Z Defaulting to user installation because normal site-packages is not writeable 2025-08-26T19:54:18.1098245Z Collecting psutil==5.9.8 2025-08-26T19:54:18.1259684Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-08-26T19:54:18.2766255Z Collecting dataclasses_json==0.6.7 2025-08-26T19:54:18.2804357Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-26T19:54:18.3483434Z Collecting nvidia-ml-py==11.525.84 2025-08-26T19:54:18.3518139Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-26T19:54:18.4909880Z Collecting typing-inspect<1,>=0.4.0 2025-08-26T19:54:18.4954233Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-26T19:54:18.6933374Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-26T19:54:18.6971128Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-26T19:54:18.8591384Z Collecting packaging>=17.0 2025-08-26T19:54:18.8627287Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-26T19:54:19.0144084Z Collecting typing-extensions>=3.7.4 2025-08-26T19:54:19.0178610Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-08-26T19:54:19.1552840Z Collecting mypy-extensions>=0.3.0 2025-08-26T19:54:19.1587159Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-26T19:54:19.3887426Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-26T19:54:20.2605385Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-08-26T19:54:20.5891622Z Prepare all required actions 2025-08-26T19:54:20.5892078Z Getting action download info 2025-08-26T19:54:20.7287050Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-26T19:54:21.4621844Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-26T19:54:24.4604709Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-26T19:54:24.4605267Z with: 2025-08-26T19:54:24.4605569Z name: linux-jammy-py3.9-clang12 2025-08-26T19:54:24.4605884Z s3-bucket: gha-artifacts 2025-08-26T19:54:24.4606172Z env: 2025-08-26T19:54:24.4606408Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:24.4606693Z ##[endgroup] 2025-08-26T19:54:24.4795408Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-26T19:54:24.4795776Z with: 2025-08-26T19:54:24.4796017Z name: linux-jammy-py3.9-clang12 2025-08-26T19:54:24.4796339Z s3-bucket: gha-artifacts 2025-08-26T19:54:24.4796682Z region: us-east-1 2025-08-26T19:54:24.4796910Z env: 2025-08-26T19:54:24.4797131Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:24.4797405Z ##[endgroup] 2025-08-26T19:54:25.2882437Z (node:41823) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-26T19:54:25.2882994Z 2025-08-26T19:54:25.2883194Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-26T19:54:25.2883759Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-26T19:54:25.2884650Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-26T19:54:26.5682897Z Found 1 objects with prefix pytorch/pytorch/17248463620/linux-jammy-py3.9-clang12/ 2025-08-26T19:54:26.5683670Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-26T19:54:30.8622114Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-26T19:54:30.8627874Z Artifact download has finished successfully 2025-08-26T19:54:30.8813617Z ##[group]Run unzip -o artifacts.zip 2025-08-26T19:54:30.8813994Z unzip -o artifacts.zip 2025-08-26T19:54:30.8820017Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:54:30.8820410Z env: 2025-08-26T19:54:30.8820650Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:30.8820938Z ##[endgroup] 2025-08-26T19:54:30.8880801Z Archive: artifacts.zip 2025-08-26T19:54:30.8881647Z creating: dist/ 2025-08-26T19:54:30.8998944Z inflating: dist/.ninja_log 2025-08-26T19:54:32.0717433Z inflating: dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl 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Use% Mounted on 2025-08-26T19:54:37.9608346Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-26T19:54:37.9608679Z tmpfs 8.2G 0 8.2G 0% /dev/shm 2025-08-26T19:54:37.9609023Z tmpfs 3.3G 484k 3.3G 1% /run 2025-08-26T19:54:37.9609351Z /dev/nvme0n1p1 161G 36G 126G 23% / 2025-08-26T19:54:37.9609696Z tmpfs 8.2G 13k 8.2G 1% /tmp 2025-08-26T19:54:37.9610038Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-08-26T19:54:37.9730779Z Prepare all required actions 2025-08-26T19:54:37.9731672Z Getting action download info 2025-08-26T19:54:38.1368315Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-26T19:54:38.1368757Z with: 2025-08-26T19:54:38.1368993Z env: 2025-08-26T19:54:38.1369230Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:38.1369498Z ##[endgroup] 2025-08-26T19:54:38.1444151Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-26T19:54:38.1444517Z with: 2025-08-26T19:54:38.1444742Z name: td_results 2025-08-26T19:54:38.1444986Z s3-bucket: gha-artifacts 2025-08-26T19:54:38.1445264Z region: us-east-1 2025-08-26T19:54:38.1445498Z env: 2025-08-26T19:54:38.1445717Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:38.1445970Z ##[endgroup] 2025-08-26T19:54:38.6027170Z (node:41843) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-26T19:54:38.6027679Z 2025-08-26T19:54:38.6027953Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-26T19:54:38.6028511Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-26T19:54:38.6029075Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-26T19:54:38.7038758Z Found 1 objects with prefix pytorch/pytorch/17248463620/td_results/ 2025-08-26T19:54:38.7039426Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-08-26T19:54:38.7678376Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-08-26T19:54:38.7684933Z Artifact download has finished successfully 2025-08-26T19:54:38.7846738Z ##[group]Run mkdir -p .additional_ci_files 2025-08-26T19:54:38.7847137Z mkdir -p .additional_ci_files 2025-08-26T19:54:38.7847701Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-26T19:54:38.7853787Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:54:38.7854172Z env: 2025-08-26T19:54:38.7854422Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:38.7854697Z ##[endgroup] 2025-08-26T19:54:38.7974694Z ##[group]Run .github/scripts/parse_ref.py 2025-08-26T19:54:38.7975091Z .github/scripts/parse_ref.py 2025-08-26T19:54:38.7981297Z shell: /usr/bin/bash -e {0} 2025-08-26T19:54:38.7981596Z env: 2025-08-26T19:54:38.7981823Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:38.7982086Z ##[endgroup] 2025-08-26T19:54:38.8204752Z Setting output branch=main 2025-08-26T19:54:38.8346400Z Prepare all required actions 2025-08-26T19:54:38.8346849Z Getting action download info 2025-08-26T19:54:38.9953418Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-26T19:54:38.9953800Z with: 2025-08-26T19:54:38.9954238Z github-token: *** 2025-08-26T19:54:38.9957290Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]} 2025-08-26T19:54:38.9960524Z job-name: linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) 2025-08-26T19:54:38.9961012Z env: 2025-08-26T19:54:38.9961241Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:38.9961520Z ##[endgroup] 2025-08-26T19:54:39.0001891Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-26T19:54:39.0002218Z with: 2025-08-26T19:54:39.0002428Z shell: bash 2025-08-26T19:54:39.0002664Z timeout_minutes: 10 2025-08-26T19:54:39.0002920Z max_attempts: 5 2025-08-26T19:54:39.0003171Z retry_wait_seconds: 30 2025-08-26T19:54:39.0003983Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-26T19:54:39.0004881Z polling_interval_seconds: 1 2025-08-26T19:54:39.0005175Z warning_on_retry: true 2025-08-26T19:54:39.0005452Z continue_on_error: false 2025-08-26T19:54:39.0005719Z env: 2025-08-26T19:54:39.0005924Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:39.0006419Z GITHUB_TOKEN: *** 2025-08-26T19:54:39.0006665Z ##[endgroup] 2025-08-26T19:54:39.1080669Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-26T19:54:39.3668513Z Defaulting to user installation because normal site-packages is not writeable 2025-08-26T19:54:39.4793562Z Collecting requests==2.27.1 2025-08-26T19:54:39.4948011Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-26T19:54:39.6575210Z Collecting pyyaml==6.0.2 2025-08-26T19:54:39.6613302Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-26T19:54:39.7311471Z Collecting certifi>=2017.4.17 2025-08-26T19:54:39.7349644Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-26T19:54:39.7416900Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-26T19:54:40.0908848Z Collecting charset-normalizer~=2.0.0 2025-08-26T19:54:40.0951002Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-26T19:54:40.1006527Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-26T19:54:40.1846578Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-26T19:54:40.3046719Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-26T19:54:41.0838251Z Command completed after 1 attempt(s). 2025-08-26T19:54:41.0894047Z ##[group]Run set -x 2025-08-26T19:54:41.0894340Z set -x 2025-08-26T19:54:41.0894583Z  2025-08-26T19:54:41.0894971Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-26T19:54:41.0895786Z # in runner workspace 2025-08-26T19:54:41.0896198Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-26T19:54:41.0902936Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:54:41.0903340Z env: 2025-08-26T19:54:41.0903557Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:41.0903831Z ##[endgroup] 2025-08-26T19:54:41.0928425Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-26T19:54:41.1108911Z Setting output branch=main 2025-08-26T19:54:41.1175276Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-26T19:54:41.1175707Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-26T19:54:41.1176062Z echo "Job name: ${JOB_NAME}" 2025-08-26T19:54:41.1176368Z  2025-08-26T19:54:41.1176763Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-26T19:54:41.1177251Z # in runner workspace 2025-08-26T19:54:41.1177731Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-26T19:54:41.1178231Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-26T19:54:41.1178581Z  --job-name "${JOB_NAME}" \ 2025-08-26T19:54:41.1181654Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]}" \ 2025-08-26T19:54:41.1184719Z  --selected-test-configs "" \ 2025-08-26T19:54:41.1185069Z  --pr-number "${PR_NUMBER}" \ 2025-08-26T19:54:41.1185395Z  --tag "${TAG}" \ 2025-08-26T19:54:41.1185689Z  --event-name "${EVENT_NAME}" \ 2025-08-26T19:54:41.1186022Z  --schedule "${SCHEDULE}" \ 2025-08-26T19:54:41.1186349Z  --branch "${HEAD_BRANCH}" 2025-08-26T19:54:41.1192302Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:54:41.1192696Z env: 2025-08-26T19:54:41.1192915Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:41.1193524Z GITHUB_TOKEN: *** 2025-08-26T19:54:41.1193958Z JOB_NAME: linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) 2025-08-26T19:54:41.1194473Z PR_NUMBER: 2025-08-26T19:54:41.1194701Z TAG: 2025-08-26T19:54:41.1194919Z EVENT_NAME: push 2025-08-26T19:54:41.1195160Z SCHEDULE: 2025-08-26T19:54:41.1195384Z HEAD_BRANCH: main 2025-08-26T19:54:41.1195617Z ##[endgroup] 2025-08-26T19:54:41.1219866Z Workflow: pull 2025-08-26T19:54:41.1220316Z Job name: linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) 2025-08-26T19:54:41.3748797Z Setting output keep-going=True 2025-08-26T19:54:41.3749216Z Setting output ci-verbose-test-logs=False 2025-08-26T19:54:41.3749588Z Setting output ci-test-showlocals=False 2025-08-26T19:54:41.3749934Z Setting output ci-no-test-timeout=False 2025-08-26T19:54:41.3750274Z Setting output ci-no-td=False 2025-08-26T19:54:41.3750593Z Setting output ci-td-distributed=False 2025-08-26T19:54:41.3750935Z Setting output is-unstable=False 2025-08-26T19:54:41.3751242Z Setting output reenabled-issues= 2025-08-26T19:54:41.3754650Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]} 2025-08-26T19:54:41.3757975Z Setting output is-test-matrix-empty=False 2025-08-26T19:54:41.3917208Z ##[group]Run echo "Filtered matrix:" 2025-08-26T19:54:41.3917622Z echo "Filtered matrix:" 2025-08-26T19:54:41.3920662Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]}" 2025-08-26T19:54:41.3924191Z  2025-08-26T19:54:41.3924411Z echo 2025-08-26T19:54:41.3924700Z echo "Is the current job unstable? False" 2025-08-26T19:54:41.3925057Z  2025-08-26T19:54:41.3925249Z echo 2025-08-26T19:54:41.3925512Z echo "Is keep-going label set? True" 2025-08-26T19:54:41.3925847Z  2025-08-26T19:54:41.3926058Z echo 2025-08-26T19:54:41.3926283Z echo "Reenabled issues? " 2025-08-26T19:54:41.3932469Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:54:41.3932865Z env: 2025-08-26T19:54:41.3933090Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:41.3933343Z ##[endgroup] 2025-08-26T19:54:41.3957911Z Filtered matrix: 2025-08-26T19:54:41.3962637Z {include: [{config: default, shard: 1, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 2, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 3, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 4, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 5, num_shards: 5, runner: lf.linux.4xlarge}, {config: crossref, shard: 1, num_shards: 2, runner: lf.linux.2xlarge}, {config: crossref, shard: 2, num_shards: 2, runner: lf.linux.2xlarge}, {config: dynamo_wrapped, shard: 1, num_shards: 3, runner: lf.linux.2xlarge}, {config: dynamo_wrapped, shard: 2, num_shards: 3, runner: lf.linux.2xlarge}, {config: dynamo_wrapped, shard: 3, num_shards: 3, runner: lf.linux.2xlarge}, {config: einops, shard: 1, num_shards: 1, runner: lf.linux.2xlarge}]} 2025-08-26T19:54:41.3965546Z 2025-08-26T19:54:41.3965668Z Is the current job unstable? False 2025-08-26T19:54:41.3965898Z 2025-08-26T19:54:41.3966006Z Is keep-going label set? True 2025-08-26T19:54:41.3966217Z 2025-08-26T19:54:41.3966312Z Reenabled issues? 2025-08-26T19:54:41.4015810Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-26T19:54:41.4031767Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-26T19:54:41.4038108Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:54:41.4038490Z env: 2025-08-26T19:54:41.4038696Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:41.4038960Z JOB_TIMEOUT: 240 2025-08-26T19:54:41.4039180Z ##[endgroup] 2025-08-26T19:54:41.4098740Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T19:54:41.4099293Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T19:54:41.4099769Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-26T19:54:41.4105662Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T19:54:41.4106059Z env: 2025-08-26T19:54:41.4106291Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:41.4106568Z ##[endgroup] 2025-08-26T19:54:41.4213753Z ##[group]Run set -x 2025-08-26T19:54:41.4214129Z set -x 2025-08-26T19:54:41.4214344Z  2025-08-26T19:54:41.4214606Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-26T19:54:41.4215032Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-26T19:54:41.4215440Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-26T19:54:41.4215799Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-26T19:54:41.4216104Z else 2025-08-26T19:54:41.4216359Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-26T19:54:41.4216673Z fi 2025-08-26T19:54:41.4216870Z  2025-08-26T19:54:41.4217136Z # Leaving 1GB for the runner and other things 2025-08-26T19:54:41.4217735Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-26T19:54:41.4218656Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-26T19:54:41.4219369Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-26T19:54:41.4219921Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-26T19:54:41.4220360Z  2025-08-26T19:54:41.4220628Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-26T19:54:41.4220976Z  SHM_OPTS= 2025-08-26T19:54:41.4221236Z  JENKINS_USER= 2025-08-26T19:54:41.4221597Z  # ensure that docker container cleanly exits in 12 hours 2025-08-26T19:54:41.4222099Z  # if for some reason cleanup action doesn't stop container 2025-08-26T19:54:41.4222509Z  # when job is cancelled 2025-08-26T19:54:41.4222812Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-26T19:54:41.4223119Z else 2025-08-26T19:54:41.4223371Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-26T19:54:41.4223716Z  JENKINS_USER="--user jenkins" 2025-08-26T19:54:41.4224025Z  DOCKER_SHELL_CMD= 2025-08-26T19:54:41.4224293Z fi 2025-08-26T19:54:41.4224502Z  2025-08-26T19:54:41.4224849Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-26T19:54:41.4225390Z # TODO: Stop building test binaries as part of the build phase 2025-08-26T19:54:41.4226022Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-26T19:54:41.4226582Z # shellcheck disable=SC2086,SC2090 2025-08-26T19:54:41.4226929Z container_name=$(docker run \ 2025-08-26T19:54:41.4227248Z  ${GPU_FLAG:-} \ 2025-08-26T19:54:41.4227545Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-26T19:54:41.4227900Z  -e BUILD_ENVIRONMENT \ 2025-08-26T19:54:41.4228203Z  -e PR_NUMBER \ 2025-08-26T19:54:41.4228481Z  -e GITHUB_ACTIONS \ 2025-08-26T19:54:41.4228762Z  -e GITHUB_REPOSITORY \ 2025-08-26T19:54:41.4229072Z  -e GITHUB_WORKFLOW \ 2025-08-26T19:54:41.4229369Z  -e GITHUB_JOB \ 2025-08-26T19:54:41.4229658Z  -e GITHUB_RUN_ID \ 2025-08-26T19:54:41.4229945Z  -e GITHUB_RUN_NUMBER \ 2025-08-26T19:54:41.4230439Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-26T19:54:41.4230743Z  -e JOB_ID \ 2025-08-26T19:54:41.4231008Z  -e JOB_NAME \ 2025-08-26T19:54:41.4231275Z  -e BASE_SHA \ 2025-08-26T19:54:41.4231525Z  -e BRANCH \ 2025-08-26T19:54:41.4231783Z  -e SHA1 \ 2025-08-26T19:54:41.4232044Z  -e AWS_DEFAULT_REGION \ 2025-08-26T19:54:41.4232350Z  -e IN_WHEEL_TEST \ 2025-08-26T19:54:41.4232626Z  -e SHARD_NUMBER \ 2025-08-26T19:54:41.4232915Z  -e TEST_CONFIG \ 2025-08-26T19:54:41.4233204Z  -e NUM_TEST_SHARDS \ 2025-08-26T19:54:41.4233509Z  -e REENABLED_ISSUES \ 2025-08-26T19:54:41.4233816Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-26T19:54:41.4234262Z  -e VERBOSE_TEST_LOGS \ 2025-08-26T19:54:41.4234578Z  -e TEST_SHOWLOCALS \ 2025-08-26T19:54:41.4234878Z  -e NO_TEST_TIMEOUT \ 2025-08-26T19:54:41.4235146Z  -e NO_TD \ 2025-08-26T19:54:41.4235414Z  -e TD_DISTRIBUTED \ 2025-08-26T19:54:41.4235702Z  -e PR_LABELS \ 2025-08-26T19:54:41.4236006Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-26T19:54:41.4236338Z  -e SCCACHE_BUCKET \ 2025-08-26T19:54:41.4236630Z  -e SCCACHE_REGION \ 2025-08-26T19:54:41.4236909Z  -e XLA_CUDA \ 2025-08-26T19:54:41.4237207Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-26T19:54:41.4237564Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-26T19:54:41.4237944Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-26T19:54:41.4238324Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-26T19:54:41.4238672Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-26T19:54:41.4239020Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-08-26T19:54:41.4239365Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-26T19:54:41.4239700Z  -e DASHBOARD_TAG \ 2025-08-26T19:54:41.4240001Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-26T19:54:41.4240385Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-26T19:54:41.4240806Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-26T19:54:41.4241235Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-26T19:54:41.4241648Z  --security-opt seccomp=unconfined \ 2025-08-26T19:54:41.4242001Z  --cap-add=SYS_PTRACE \ 2025-08-26T19:54:41.4242287Z  --ipc=host \ 2025-08-26T19:54:41.4242546Z  ${SHM_OPTS} \ 2025-08-26T19:54:41.4242800Z  --tty \ 2025-08-26T19:54:41.4243043Z  --detach \ 2025-08-26T19:54:41.4243304Z  --name="${container_name}" \ 2025-08-26T19:54:41.4243623Z  ${JENKINS_USER} \ 2025-08-26T19:54:41.4243982Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-26T19:54:41.4244396Z  -w /var/lib/jenkins/workspace \ 2025-08-26T19:54:41.4244728Z  "${DOCKER_IMAGE}" \ 2025-08-26T19:54:41.4245010Z  ${DOCKER_SHELL_CMD} 2025-08-26T19:54:41.4245284Z ) 2025-08-26T19:54:41.4245581Z # Propagate download.pytorch.org IP to container 2025-08-26T19:54:41.4246276Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-26T19:54:41.4247002Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-26T19:54:41.4247552Z  2025-08-26T19:54:41.4247827Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-26T19:54:41.4248429Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-26T19:54:41.4248975Z fi 2025-08-26T19:54:41.4249174Z  2025-08-26T19:54:41.4249679Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-26T19:54:41.4255902Z shell: /usr/bin/bash -e {0} 2025-08-26T19:54:41.4256289Z env: 2025-08-26T19:54:41.4256510Z GIT_DEFAULT_BRANCH: main 2025-08-26T19:54:41.4256826Z BUILD_ENVIRONMENT: linux-jammy-py3.9-clang12 2025-08-26T19:54:41.4257166Z PR_NUMBER: 2025-08-26T19:54:41.4257410Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-26T19:54:41.4257715Z GITHUB_WORKFLOW: pull 2025-08-26T19:54:41.4257967Z GITHUB_JOB: test 2025-08-26T19:54:41.4258209Z GITHUB_RUN_ID: 17248463620 2025-08-26T19:54:41.4258483Z GITHUB_RUN_NUMBER: 350026 2025-08-26T19:54:41.4258740Z GITHUB_RUN_ATTEMPT: 1 2025-08-26T19:54:41.4258989Z JOB_ID: 48945287514 2025-08-26T19:54:41.4259411Z JOB_NAME: linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) 2025-08-26T19:54:41.4259899Z BRANCH: main 2025-08-26T19:54:41.4260144Z SHA1: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:54:41.4260607Z BASE_SHA: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:54:41.4260961Z TEST_CONFIG: dynamo_wrapped 2025-08-26T19:54:41.4261238Z SHARD_NUMBER: 1 2025-08-26T19:54:41.4261473Z NUM_TEST_SHARDS: 3 2025-08-26T19:54:41.4261708Z REENABLED_ISSUES: 2025-08-26T19:54:41.4261968Z CONTINUE_THROUGH_ERROR: True 2025-08-26T19:54:41.4262261Z VERBOSE_TEST_LOGS: False 2025-08-26T19:54:41.4262535Z TEST_SHOWLOCALS: False 2025-08-26T19:54:41.4262787Z NO_TEST_TIMEOUT: False 2025-08-26T19:54:41.4263036Z NO_TD: False 2025-08-26T19:54:41.4263266Z TD_DISTRIBUTED: False 2025-08-26T19:54:41.4263582Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-26T19:54:41.4263936Z SCCACHE_REGION: us-east-1 2025-08-26T19:54:41.4264200Z SHM_SIZE: 1g 2025-08-26T19:54:41.4264937Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:54:41.4265732Z XLA_CUDA: 2025-08-26T19:54:41.4266086Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-26T19:54:41.4266560Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-26T19:54:41.4266889Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-26T19:54:41.4267209Z DASHBOARD_TAG: 2025-08-26T19:54:41.4267702Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-08-26T19:54:41.4268113Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-26T19:54:41.4268538Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-26T19:54:41.4268998Z ARTIFACTS_FILE_SUFFIX: test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514 2025-08-26T19:54:41.4269463Z ##[endgroup] 2025-08-26T19:54:41.4294604Z + [[ dynamo_wrapped == \m\u\l\t\i\g\p\u ]] 2025-08-26T19:54:41.4294977Z + [[ linux-jammy-py3.9-clang12 == *onnx* ]] 2025-08-26T19:54:41.4295308Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-26T19:54:41.4297942Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-26T19:54:41.4337966Z + TOTAL_AVAILABLE_MEMORY_IN_GB='14.244 ' 2025-08-26T19:54:41.4338583Z + TOTAL_MEMORY_WITH_SWAP=17 2025-08-26T19:54:41.4339121Z + [[ linux-jammy-py3.9-clang12 == *\s\3\9\0\x* ]] 2025-08-26T19:54:41.4339472Z + SHM_OPTS=--shm-size=1g 2025-08-26T19:54:41.4339744Z + JENKINS_USER='--user jenkins' 2025-08-26T19:54:41.4340041Z + DOCKER_SHELL_CMD= 2025-08-26T19:54:41.4346769Z +++ nproc --ignore=2 2025-08-26T19:54:41.4371167Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=14g --memory-swap=17g --env-file=/tmp/github_env_17248463620 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T19:54:48.4981750Z + container_name=83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T19:54:48.4986396Z + grep download.pytorch.org /etc/hosts 2025-08-26T19:54:48.4988166Z + docker exec -i 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-26T19:54:48.6287583Z + echo DOCKER_CONTAINER_ID=83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T19:54:48.6289022Z + [[ linux-jammy-py3.9-clang12 == *\s\3\9\0\x* ]] 2025-08-26T19:54:48.6292773Z ++ echo dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl 2025-08-26T19:54:48.6295096Z + docker exec -t 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-26T19:54:49.4700567Z Processing ./dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git262640f) 2025-08-26T19:54:50.0481398Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.19.1) 2025-08-26T19:54:50.0485934Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (4.15.0) 2025-08-26T19:54:50.0491231Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (1.13.3) 2025-08-26T19:54:50.0496425Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (2.8.8) 2025-08-26T19:54:50.0500423Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.1.6) 2025-08-26T19:54:50.0505716Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (2025.7.0) 2025-08-26T19:54:50.0521041Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.3.0) 2025-08-26T19:54:50.0931576Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (1.22.4) 2025-08-26T19:54:50.0957597Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (1.3.0) 2025-08-26T19:54:50.1011926Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.0.2) 2025-08-26T19:54:50.6067722Z Installing collected packages: torch 2025-08-26T19:55:00.7802702Z Successfully installed torch-2.9.0a0+git262640f 2025-08-26T19:55:00.9160260Z + export TERM=vt100 2025-08-26T19:55:00.9160690Z + TERM=vt100 2025-08-26T19:55:00.9161333Z ++ dirname .ci/pytorch/test.sh 2025-08-26T19:55:00.9239694Z + source .ci/pytorch/common.sh 2025-08-26T19:55:00.9246260Z +++ dirname .ci/pytorch/common.sh 2025-08-26T19:55:00.9253417Z ++ source .ci/pytorch/common_utils.sh 2025-08-26T19:55:00.9262535Z +++ declare -f -t trap_add 2025-08-26T19:55:00.9268122Z ++ set -ex -o pipefail 2025-08-26T19:55:00.9268656Z ++ [[ linux-jammy-py3.9-clang12 == *rocm* ]] 2025-08-26T19:55:00.9268998Z ++ BUILD_TEST_LIBTORCH=0 2025-08-26T19:55:00.9271467Z ++ dirname .ci/pytorch/test.sh 2025-08-26T19:55:00.9278117Z + source .ci/pytorch/common-build.sh 2025-08-26T19:55:00.9328497Z ++ [[ linux-jammy-py3.9-clang12 != *win-* ]] 2025-08-26T19:55:00.9334068Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-26T19:55:00.9341437Z +++ cd .ci/pytorch 2025-08-26T19:55:00.9341712Z +++ pwd -P 2025-08-26T19:55:00.9343962Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-26T19:55:00.9344378Z ++ [[ linux-jammy-py3.9-clang12 == *-pch* ]] 2025-08-26T19:55:00.9344696Z ++ which sccache 2025-08-26T19:55:00.9419982Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-26T19:55:00.9420380Z ++ sccache --stop-server 2025-08-26T19:55:00.9556171Z ++ true 2025-08-26T19:55:00.9556495Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-26T19:55:00.9619992Z ++ trap_add sccache_epilogue EXIT 2025-08-26T19:55:00.9620507Z ++ trap_add_cmd=sccache_epilogue 2025-08-26T19:55:00.9620788Z ++ shift 2025-08-26T19:55:00.9621020Z ++ for trap_add_name in "$@" 2025-08-26T19:55:00.9626117Z ++++ trap -p EXIT 2025-08-26T19:55:00.9628775Z +++ eval 'extract_trap_cmd ' 2025-08-26T19:55:00.9629136Z ++++ extract_trap_cmd 2025-08-26T19:55:00.9629388Z ++++ printf '%s\n' '' 2025-08-26T19:55:00.9629656Z +++ printf '%s\n' sccache_epilogue 2025-08-26T19:55:00.9631554Z ++ trap -- ' 2025-08-26T19:55:00.9631978Z sccache_epilogue' EXIT 2025-08-26T19:55:00.9632319Z ++ [[ -n 1 ]] 2025-08-26T19:55:00.9633004Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-26T19:55:00.9633747Z Skipping sccache server initialization, setting environment variables 2025-08-26T19:55:00.9634220Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-26T19:55:00.9634512Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-26T19:55:00.9634874Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-26T19:55:00.9635361Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-26T19:55:00.9635793Z ++ export RUST_LOG=sccache::server=error 2025-08-26T19:55:00.9636119Z ++ RUST_LOG=sccache::server=error 2025-08-26T19:55:00.9636442Z ++ sccache --zero-stats 2025-08-26T19:55:01.1432226Z Statistics zeroed. 2025-08-26T19:55:01.1436496Z ++ which ccache 2025-08-26T19:55:01.1448697Z + [[ linux-jammy-py3.9-clang12 != *rocm* ]] 2025-08-26T19:55:01.1449089Z + [[ linux-jammy-py3.9-clang12 != *s390x* ]] 2025-08-26T19:55:01.1449493Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-26T19:55:01.1451736Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-26T19:55:01.1584685Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-26T19:55:01.1585072Z + trap_add cleanup_workspace EXIT 2025-08-26T19:55:01.1585440Z + trap_add_cmd=cleanup_workspace 2025-08-26T19:55:01.1585724Z + shift 2025-08-26T19:55:01.1585979Z + for trap_add_name in "$@" 2025-08-26T19:55:01.1591234Z +++ trap -p EXIT 2025-08-26T19:55:01.1593964Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-26T19:55:01.1594504Z sccache_epilogue'\'' EXIT' 2025-08-26T19:55:01.1594885Z +++ extract_trap_cmd trap -- ' 2025-08-26T19:55:01.1595246Z sccache_epilogue' EXIT 2025-08-26T19:55:01.1595584Z +++ printf '%s\n' ' 2025-08-26T19:55:01.1595917Z sccache_epilogue' 2025-08-26T19:55:01.1596291Z ++ printf '%s\n' cleanup_workspace 2025-08-26T19:55:01.1596721Z + trap -- ' 2025-08-26T19:55:01.1596943Z sccache_epilogue 2025-08-26T19:55:01.1597258Z cleanup_workspace' EXIT 2025-08-26T19:55:01.1597860Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-26T19:55:02.0300414Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-26T19:55:02.2335291Z + echo 'Environment variables:' 2025-08-26T19:55:02.2493238Z Environment variables: 2025-08-26T19:55:02.2493648Z + env 2025-08-26T19:55:02.2493996Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-26T19:55:02.2494453Z CONTINUE_THROUGH_ERROR=True 2025-08-26T19:55:02.2494780Z BUILD_ENVIRONMENT=linux-jammy-py3.9-clang12 2025-08-26T19:55:02.2495373Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-08-26T19:55:02.2495657Z HOSTNAME=83a4d968bf08 2025-08-26T19:55:02.2496261Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_8e9e6e9d-ba52-4fd6-91b5-14d8977239ed 2025-08-26T19:55:02.2497171Z GITHUB_ACTION=__run_2 2025-08-26T19:55:02.2497444Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-26T19:55:02.2497739Z GITHUB_RUN_NUMBER=350026 2025-08-26T19:55:02.2498020Z TEST_CONFIG=dynamo_wrapped 2025-08-26T19:55:02.2498372Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-26T19:55:02.2498778Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-26T19:55:02.2499143Z SCCACHE_IDLE_TIMEOUT=0 2025-08-26T19:55:02.2499563Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-26T19:55:02.2499884Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-26T19:55:02.2500209Z GITHUB_REF_TYPE=branch 2025-08-26T19:55:02.2500502Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:55:02.2500817Z XLA_CUDA= 2025-08-26T19:55:02.2501220Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-26T19:55:02.2501659Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-26T19:55:02.2503397Z *** 2025-08-26T19:55:02.2503609Z GITHUB_REPOSITORY_ID=65600975 2025-08-26T19:55:02.2503899Z GITHUB_ACTIONS=true 2025-08-26T19:55:02.2504216Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-26T19:55:02.2504606Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:55:02.2504967Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:55:02.2505479Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-08-26T19:55:02.2505961Z UCC_HOME=/usr 2025-08-26T19:55:02.2506194Z VERBOSE_TEST_LOGS=False 2025-08-26T19:55:02.2506461Z GITHUB_REF=refs/heads/main 2025-08-26T19:55:02.2506710Z SHARD_NUMBER=1 2025-08-26T19:55:02.2506949Z GITHUB_REF_PROTECTED=true 2025-08-26T19:55:02.2507219Z HOME=/var/lib/jenkins 2025-08-26T19:55:02.2507491Z GITHUB_API_URL=https://api.github.com 2025-08-26T19:55:02.2507824Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-26T19:55:02.2508133Z UCX_COMMIT= 2025-08-26T19:55:02.2508345Z USE_SYSTEM_NCCL=1 2025-08-26T19:55:02.2508569Z NUM_TEST_SHARDS=3 2025-08-26T19:55:02.2508797Z UCX_HOME=/usr 2025-08-26T19:55:02.2509381Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_8e9e6e9d-ba52-4fd6-91b5-14d8977239ed 2025-08-26T19:55:02.2510466Z JOB_NAME=linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) 2025-08-26T19:55:02.2511344Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_8e9e6e9d-ba52-4fd6-91b5-14d8977239ed 2025-08-26T19:55:02.2512185Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-26T19:55:02.2512688Z GITHUB_EVENT_NAME=push 2025-08-26T19:55:02.2512944Z DASHBOARD_TAG= 2025-08-26T19:55:02.2513183Z GITHUB_RUN_ID=17248463620 2025-08-26T19:55:02.2513451Z INSTALLED_OPENBLAS= 2025-08-26T19:55:02.2514080Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_8e9e6e9d-ba52-4fd6-91b5-14d8977239ed 2025-08-26T19:55:02.2514791Z GITHUB_ACTOR=pytorchmergebot 2025-08-26T19:55:02.2515068Z PR_NUMBER= 2025-08-26T19:55:02.2515279Z DESIRED_CUDA= 2025-08-26T19:55:02.2515493Z GITHUB_RUN_ATTEMPT=1 2025-08-26T19:55:02.2515756Z ANACONDA_PYTHON_VERSION=3.9 2025-08-26T19:55:02.2516094Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-26T19:55:02.2516448Z TERM=vt100 2025-08-26T19:55:02.2516654Z INSTALLED_VISION=yes 2025-08-26T19:55:02.2516896Z BRANCH=main 2025-08-26T19:55:02.2517117Z SCCACHE_REGION=us-east-1 2025-08-26T19:55:02.2517395Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-26T19:55:02.2517667Z CUDA_PATH=/usr/local/cuda 2025-08-26T19:55:02.2518201Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-26T19:55:02.2518798Z GITHUB_SERVER_URL=https://github.com 2025-08-26T19:55:02.2519103Z UCC_COMMIT= 2025-08-26T19:55:02.2519301Z REENABLED_ISSUES= 2025-08-26T19:55:02.2519524Z DOCS= 2025-08-26T19:55:02.2519722Z SHLVL=1 2025-08-26T19:55:02.2519913Z MAX_JOBS=6 2025-08-26T19:55:02.2520129Z GITHUB_ACTOR_ID=97764156 2025-08-26T19:55:02.2520474Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:55:02.2520855Z GITHUB_REF_NAME=main 2025-08-26T19:55:02.2521384Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-26T19:55:02.2521820Z GITHUB_JOB=test 2025-08-26T19:55:02.2522050Z NO_TEST_TIMEOUT=False 2025-08-26T19:55:02.2522298Z TD_DISTRIBUTED=False 2025-08-26T19:55:02.2522551Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-26T19:55:02.2522857Z GITHUB_RETENTION_DAYS=90 2025-08-26T19:55:02.2523131Z OPENSSL_DIR=/opt/openssl 2025-08-26T19:55:02.2523406Z GITHUB_ACTION_REPOSITORY= 2025-08-26T19:55:02.2524192Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T19:55:02.2525017Z GITHUB_BASE_REF= 2025-08-26T19:55:02.2525249Z INSTALLED_ACL= 2025-08-26T19:55:02.2525722Z ARTIFACTS_FILE_SUFFIX=test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514 2025-08-26T19:55:02.2526290Z CI=true 2025-08-26T19:55:02.2526500Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-26T19:55:02.2526829Z RUST_LOG=sccache::server=error 2025-08-26T19:55:02.2527112Z JOB_ID=48945287514 2025-08-26T19:55:02.2527444Z GITHUB_HEAD_REF= 2025-08-26T19:55:02.2527696Z GITHUB_ACTION_REF= 2025-08-26T19:55:02.2527998Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-26T19:55:02.2528363Z TEST_SHOWLOCALS=False 2025-08-26T19:55:02.2528608Z GITHUB_WORKFLOW=pull 2025-08-26T19:55:02.2528876Z DEBIAN_FRONTEND=noninteractive 2025-08-26T19:55:02.2529531Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_8e9e6e9d-ba52-4fd6-91b5-14d8977239ed 2025-08-26T19:55:02.2530197Z NO_TD=False 2025-08-26T19:55:02.2530438Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-26T19:55:02.2530738Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-26T19:55:02.2531056Z _=/usr/bin/env 2025-08-26T19:55:02.2531389Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-26T19:55:02.3221841Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-08-26T19:55:02.3222963Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-08-26T19:55:02.3223653Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-08-26T19:55:02.3224328Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-08-26T19:55:02.3224792Z + BUILD_DIR=build 2025-08-26T19:55:02.3225094Z + BUILD_RENAMED_DIR=build_renamed 2025-08-26T19:55:02.3225397Z + BUILD_BIN_DIR=build/bin 2025-08-26T19:55:02.3225692Z + SHARD_NUMBER=1 2025-08-26T19:55:02.3225954Z + NUM_TEST_SHARDS=3 2025-08-26T19:55:02.3226206Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-26T19:55:02.3226582Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-26T19:55:02.3226959Z + export VALGRIND=ON 2025-08-26T19:55:02.3227291Z + VALGRIND=ON 2025-08-26T19:55:02.3227560Z + [[ linux-jammy-py3.9-clang12 == *clang9* ]] 2025-08-26T19:55:02.3227932Z + [[ linux-jammy-py3.9-clang12 == *xpu* ]] 2025-08-26T19:55:02.3228305Z + detect_cuda_arch 2025-08-26T19:55:02.3228575Z + [[ linux-jammy-py3.9-clang12 == *cuda* ]] 2025-08-26T19:55:02.3228969Z + [[ linux-jammy-py3.9-clang12 == *s390x* ]] 2025-08-26T19:55:02.3229291Z + [[ 0 == \1 ]] 2025-08-26T19:55:02.3229555Z + [[ True == \1 ]] 2025-08-26T19:55:02.3229829Z + [[ linux-jammy-py3.9-clang12 != *bazel* ]] 2025-08-26T19:55:02.3230165Z ++ realpath build/custom_test_artifacts 2025-08-26T19:55:02.3252492Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-26T19:55:02.3253420Z + [[ -n '' ]] 2025-08-26T19:55:02.3253677Z + echo 'Environment variables' 2025-08-26T19:55:02.3253979Z Environment variables 2025-08-26T19:55:02.3254224Z + env 2025-08-26T19:55:02.3260816Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-26T19:55:02.3261651Z CONTINUE_THROUGH_ERROR=True 2025-08-26T19:55:02.3262198Z BUILD_ENVIRONMENT=linux-jammy-py3.9-clang12 2025-08-26T19:55:02.3263180Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-08-26T19:55:02.3263855Z HOSTNAME=83a4d968bf08 2025-08-26T19:55:02.3264587Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_8e9e6e9d-ba52-4fd6-91b5-14d8977239ed 2025-08-26T19:55:02.3266022Z GITHUB_ACTION=__run_2 2025-08-26T19:55:02.3266405Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-26T19:55:02.3266762Z GITHUB_RUN_NUMBER=350026 2025-08-26T19:55:02.3267040Z TEST_CONFIG=dynamo_wrapped 2025-08-26T19:55:02.3267336Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-26T19:55:02.3267669Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-26T19:55:02.3268156Z SCCACHE_IDLE_TIMEOUT=0 2025-08-26T19:55:02.3268603Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-26T19:55:02.3268922Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-26T19:55:02.3269252Z GITHUB_REF_TYPE=branch 2025-08-26T19:55:02.3269547Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:55:02.3269871Z XLA_CUDA= 2025-08-26T19:55:02.3270260Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-26T19:55:02.3270766Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-26T19:55:02.3271091Z *** 2025-08-26T19:55:02.3271292Z GITHUB_REPOSITORY_ID=65600975 2025-08-26T19:55:02.3271576Z GITHUB_ACTIONS=true 2025-08-26T19:55:02.3271889Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-26T19:55:02.3272353Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:55:02.3272708Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:55:02.3273221Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-08-26T19:55:02.3273696Z UCC_HOME=/usr 2025-08-26T19:55:02.3273932Z TORCH_SERIALIZATION_DEBUG=1 2025-08-26T19:55:02.3274209Z VERBOSE_TEST_LOGS=False 2025-08-26T19:55:02.3274659Z GITHUB_REF=refs/heads/main 2025-08-26T19:55:02.3275041Z SHARD_NUMBER=1 2025-08-26T19:55:02.3275276Z GITHUB_REF_PROTECTED=true 2025-08-26T19:55:02.3275589Z HOME=/var/lib/jenkins 2025-08-26T19:55:02.3275968Z GITHUB_API_URL=https://api.github.com 2025-08-26T19:55:02.3276316Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-26T19:55:02.3276611Z UCX_COMMIT= 2025-08-26T19:55:02.3276811Z USE_SYSTEM_NCCL=1 2025-08-26T19:55:02.3277354Z NUM_TEST_SHARDS=3 2025-08-26T19:55:02.3277583Z UCX_HOME=/usr 2025-08-26T19:55:02.3278198Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_8e9e6e9d-ba52-4fd6-91b5-14d8977239ed 2025-08-26T19:55:02.3279031Z JOB_NAME=linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) 2025-08-26T19:55:02.3279830Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_8e9e6e9d-ba52-4fd6-91b5-14d8977239ed 2025-08-26T19:55:02.3281006Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-26T19:55:02.3281796Z GITHUB_EVENT_NAME=push 2025-08-26T19:55:02.3282068Z DASHBOARD_TAG= 2025-08-26T19:55:02.3282298Z GITHUB_RUN_ID=17248463620 2025-08-26T19:55:02.3282550Z INSTALLED_OPENBLAS= 2025-08-26T19:55:02.3283193Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_8e9e6e9d-ba52-4fd6-91b5-14d8977239ed 2025-08-26T19:55:02.3283969Z GITHUB_ACTOR=pytorchmergebot 2025-08-26T19:55:02.3284247Z PR_NUMBER= 2025-08-26T19:55:02.3284444Z DESIRED_CUDA= 2025-08-26T19:55:02.3284676Z GITHUB_RUN_ATTEMPT=1 2025-08-26T19:55:02.3284917Z VALGRIND=ON 2025-08-26T19:55:02.3285148Z ANACONDA_PYTHON_VERSION=3.9 2025-08-26T19:55:02.3285477Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-26T19:55:02.3285900Z TERM=vt100 2025-08-26T19:55:02.3286123Z INSTALLED_VISION=yes 2025-08-26T19:55:02.3286356Z BRANCH=main 2025-08-26T19:55:02.3286582Z SCCACHE_REGION=us-east-1 2025-08-26T19:55:02.3286862Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-26T19:55:02.3287149Z CUDA_PATH=/usr/local/cuda 2025-08-26T19:55:02.3287755Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-26T19:55:02.3288669Z GITHUB_SERVER_URL=https://github.com 2025-08-26T19:55:02.3288980Z UCC_COMMIT= 2025-08-26T19:55:02.3289201Z REENABLED_ISSUES= 2025-08-26T19:55:02.3289425Z DOCS= 2025-08-26T19:55:02.3289632Z SHLVL=1 2025-08-26T19:55:02.3289836Z MAX_JOBS=6 2025-08-26T19:55:02.3290057Z GITHUB_ACTOR_ID=97764156 2025-08-26T19:55:02.3290386Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T19:55:02.3290913Z GITHUB_REF_NAME=main 2025-08-26T19:55:02.3291301Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-26T19:55:02.3291739Z GITHUB_JOB=test 2025-08-26T19:55:02.3291960Z NO_TEST_TIMEOUT=False 2025-08-26T19:55:02.3292215Z TD_DISTRIBUTED=False 2025-08-26T19:55:02.3292481Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-26T19:55:02.3292787Z GITHUB_RETENTION_DAYS=90 2025-08-26T19:55:02.3293042Z OPENSSL_DIR=/opt/openssl 2025-08-26T19:55:02.3293311Z GITHUB_ACTION_REPOSITORY= 2025-08-26T19:55:02.3294201Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T19:55:02.3295098Z GITHUB_BASE_REF= 2025-08-26T19:55:02.3295398Z INSTALLED_ACL= 2025-08-26T19:55:02.3295788Z ARTIFACTS_FILE_SUFFIX=test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514 2025-08-26T19:55:02.3296381Z CI=true 2025-08-26T19:55:02.3296608Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-26T19:55:02.3296937Z RUST_LOG=sccache::server=error 2025-08-26T19:55:02.3297214Z JOB_ID=48945287514 2025-08-26T19:55:02.3297444Z GITHUB_HEAD_REF= 2025-08-26T19:55:02.3297678Z GITHUB_ACTION_REF= 2025-08-26T19:55:02.3297956Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-26T19:55:02.3298317Z TEST_SHOWLOCALS=False 2025-08-26T19:55:02.3298570Z GITHUB_WORKFLOW=pull 2025-08-26T19:55:02.3298828Z DEBIAN_FRONTEND=noninteractive 2025-08-26T19:55:02.3299458Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_8e9e6e9d-ba52-4fd6-91b5-14d8977239ed 2025-08-26T19:55:02.3300121Z NO_TD=False 2025-08-26T19:55:02.3300351Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-26T19:55:02.3300660Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-26T19:55:02.3300971Z _=/usr/bin/env 2025-08-26T19:55:02.3301202Z + echo 'Testing pytorch' 2025-08-26T19:55:02.3301462Z Testing pytorch 2025-08-26T19:55:02.3301708Z + export LANG=C.UTF-8 2025-08-26T19:55:02.3301938Z + LANG=C.UTF-8 2025-08-26T19:55:02.3646410Z + PR_NUMBER= 2025-08-26T19:55:02.3646863Z + [[ dynamo_wrapped == \d\e\f\a\u\l\t ]] 2025-08-26T19:55:02.3647508Z + [[ dynamo_wrapped == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-26T19:55:02.3647973Z + [[ dynamo_wrapped == \s\l\o\w ]] 2025-08-26T19:55:02.3648390Z + [[ linux-jammy-py3.9-clang12 == *slow-gradcheck* ]] 2025-08-26T19:55:02.3648815Z + [[ linux-jammy-py3.9-clang12 == *cuda* ]] 2025-08-26T19:55:02.3649169Z + [[ linux-jammy-py3.9-clang12 == *rocm* ]] 2025-08-26T19:55:02.3649562Z + [[ linux-jammy-py3.9-clang12 == *xpu* ]] 2025-08-26T19:55:02.3649879Z + [[ dynamo_wrapped == *crossref* ]] 2025-08-26T19:55:02.3650272Z + [[ linux-jammy-py3.9-clang12 == *rocm* ]] 2025-08-26T19:55:02.3650610Z + [[ linux-jammy-py3.9-clang12 == *xpu* ]] 2025-08-26T19:55:02.3651039Z + [[ linux-jammy-py3.9-clang12 != *-bazel-* ]] 2025-08-26T19:55:02.3651362Z + pip_install ninja==1.10.2 2025-08-26T19:55:02.3651808Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-26T19:55:02.3652395Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-26T19:55:03.8871883Z Collecting ninja==1.10.2 2025-08-26T19:55:03.8966005Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-26T19:55:03.9080358Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-26T19:55:04.3136532Z Installing collected packages: ninja 2025-08-26T19:55:04.3137278Z Attempting uninstall: ninja 2025-08-26T19:55:04.3145098Z Found existing installation: ninja 1.11.1.3 2025-08-26T19:55:04.3175697Z Uninstalling ninja-1.11.1.3: 2025-08-26T19:55:04.3280559Z Successfully uninstalled ninja-1.11.1.3 2025-08-26T19:55:04.3620429Z Successfully installed ninja-1.10.2 2025-08-26T19:55:04.4402357Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T19:55:04.4405209Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T19:55:04.4407296Z + [[ linux-jammy-py3.9-clang12 == *aarch64* ]] 2025-08-26T19:55:04.4407746Z + [[ linux-jammy-py3.9-clang12 == *asan* ]] 2025-08-26T19:55:04.4408104Z + [[ linux-jammy-py3.9-clang12 == *-debug* ]] 2025-08-26T19:55:04.4408474Z + [[ linux-jammy-py3.9-clang12 != *-bazel-* ]] 2025-08-26T19:55:04.4408979Z + echo 'We are not in debug mode: linux-jammy-py3.9-clang12. Expect the assertion to pass' 2025-08-26T19:55:04.4409632Z We are not in debug mode: linux-jammy-py3.9-clang12. Expect the assertion to pass 2025-08-26T19:55:04.4410273Z + cd test 2025-08-26T19:55:04.4410785Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-26T19:55:06.1793818Z + [[ dynamo_wrapped == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-26T19:55:06.1794263Z + [[ dynamo_wrapped == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-26T19:55:06.1794728Z + [[ dynamo_wrapped == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-26T19:55:06.1797666Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-26T19:55:06.1798725Z + [[ dynamo_wrapped == *pr_time_benchmarks* ]] 2025-08-26T19:55:06.1799087Z + [[ dynamo_wrapped == *dynamo_eager* ]] 2025-08-26T19:55:06.1799443Z + [[ dynamo_wrapped == *aot_eager* ]] 2025-08-26T19:55:06.1799778Z + [[ dynamo_wrapped == *aot_inductor* ]] 2025-08-26T19:55:06.1800144Z + [[ dynamo_wrapped == *max_autotune_inductor* ]] 2025-08-26T19:55:06.1800495Z + [[ dynamo_wrapped == *inductor* ]] 2025-08-26T19:55:06.1800822Z + [[ dynamo_wrapped == *dynamic* ]] 2025-08-26T19:55:06.1801149Z + [[ dynamo_wrapped == *cpu* ]] 2025-08-26T19:55:06.1801475Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-08-26T19:55:06.1824385Z + [[ linux-jammy-py3.9-clang12 == *libtorch* ]] 2025-08-26T19:55:06.1824761Z + [[ linux-jammy-py3.9-clang12 == *-bazel-* ]] 2025-08-26T19:55:06.1828012Z + cd test 2025-08-26T19:55:06.1828633Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-26T19:55:07.4017315Z PyTorch built with: 2025-08-26T19:55:07.4017715Z - GCC 4.2 2025-08-26T19:55:07.4017945Z - C++ Version: 201703 2025-08-26T19:55:07.4018211Z - clang 12.0.1 2025-08-26T19:55:07.4018761Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-26T19:55:07.4019504Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-26T19:55:07.4019947Z - OpenMP 201811 2025-08-26T19:55:07.4020231Z - LAPACK is enabled (usually provided by MKL) 2025-08-26T19:55:07.4020569Z - NNPACK is enabled 2025-08-26T19:55:07.4020843Z - CPU capability usage: AVX512 2025-08-26T19:55:07.4026345Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=74124d1b46774f2a73aa1aadc2b0874cb523b1c1, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-08-26T19:55:07.4031916Z 2025-08-26T19:55:07.7002043Z + cd test 2025-08-26T19:55:07.7002636Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-26T19:55:08.8902733Z ATen/Parallel: 2025-08-26T19:55:08.8903075Z at::get_num_threads() : 4 2025-08-26T19:55:08.8903392Z at::get_num_interop_threads() : 4 2025-08-26T19:55:08.8903698Z OpenMP 201811 2025-08-26T19:55:08.8903960Z omp_get_max_threads() : 4 2025-08-26T19:55:08.8904534Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-26T19:55:08.8905160Z mkl_get_max_threads() : 4 2025-08-26T19:55:08.8905558Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-26T19:55:08.8906027Z std::thread::hardware_concurrency() : 8 2025-08-26T19:55:08.8906678Z Environment variables: 2025-08-26T19:55:08.8906945Z OMP_NUM_THREADS : [not set] 2025-08-26T19:55:08.8907232Z MKL_NUM_THREADS : [not set] 2025-08-26T19:55:08.8907525Z ATen parallel backend: OpenMP 2025-08-26T19:55:08.8907730Z 2025-08-26T19:55:09.2086668Z + [[ dynamo_wrapped == *numpy_2* ]] 2025-08-26T19:55:09.2087451Z + [[ linux-jammy-py3.9-clang12 == *aarch64* ]] 2025-08-26T19:55:09.2088000Z + [[ dynamo_wrapped == *backward* ]] 2025-08-26T19:55:09.2088308Z + [[ dynamo_wrapped == *xla* ]] 2025-08-26T19:55:09.2088608Z + [[ dynamo_wrapped == *vllm* ]] 2025-08-26T19:55:09.2088922Z + [[ dynamo_wrapped == *executorch* ]] 2025-08-26T19:55:09.2089268Z + [[ dynamo_wrapped == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-26T19:55:09.2089626Z + [[ linux-jammy-py3.9-clang12 == *libtorch* ]] 2025-08-26T19:55:09.2089987Z + [[ dynamo_wrapped == distributed ]] 2025-08-26T19:55:09.2090332Z + [[ dynamo_wrapped == *operator_benchmark* ]] 2025-08-26T19:55:09.2090707Z + [[ dynamo_wrapped == *inductor_distributed* ]] 2025-08-26T19:55:09.2091094Z + [[ dynamo_wrapped == *inductor-halide* ]] 2025-08-26T19:55:09.2091468Z + [[ dynamo_wrapped == *inductor-triton-cpu* ]] 2025-08-26T19:55:09.2091970Z + [[ dynamo_wrapped == *inductor-micro-benchmark* ]] 2025-08-26T19:55:09.2092560Z + [[ dynamo_wrapped == *huggingface* ]] 2025-08-26T19:55:09.2093104Z + [[ dynamo_wrapped == *timm* ]] 2025-08-26T19:55:09.2093410Z + [[ dynamo_wrapped == cachebench ]] 2025-08-26T19:55:09.2093744Z + [[ dynamo_wrapped == verify_cachebench ]] 2025-08-26T19:55:09.2094085Z + [[ dynamo_wrapped == *torchbench* ]] 2025-08-26T19:55:09.2094425Z + [[ dynamo_wrapped == *inductor_cpp_wrapper* ]] 2025-08-26T19:55:09.2094789Z + [[ dynamo_wrapped == *inductor* ]] 2025-08-26T19:55:09.2095105Z + [[ dynamo_wrapped == *einops* ]] 2025-08-26T19:55:09.2095424Z + [[ dynamo_wrapped == *dynamo_wrapped* ]] 2025-08-26T19:55:09.2095748Z + install_torchvision 2025-08-26T19:55:09.2095991Z + local orig_preload 2025-08-26T19:55:09.2096236Z + local commit 2025-08-26T19:55:09.2096486Z ++ get_pinned_commit vision 2025-08-26T19:55:09.2096796Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-26T19:55:09.2114230Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T19:55:09.2114798Z + orig_preload= 2025-08-26T19:55:09.2115166Z + '[' -n '' ']' 2025-08-26T19:55:09.2115569Z + [[ linux-jammy-py3.9-clang12 == *cuda* ]] 2025-08-26T19:55:09.2116536Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-26T19:55:09.2117849Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T19:55:09.2118772Z + local wheel_dir=dist/vision 2025-08-26T19:55:09.2119204Z + local found_whl=0 2025-08-26T19:55:09.2131278Z + for file in "${wheel_dir}"/*.whl 2025-08-26T19:55:09.2131891Z + [[ -f dist/vision/*.whl ]] 2025-08-26T19:55:09.2132317Z + '[' 0 == 0 ']' 2025-08-26T19:55:09.2133654Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/vision git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T19:55:09.5455058Z Collecting git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T19:55:09.5461176Z Cloning https://github.com/pytorch/vision.git (to revision 966da7e46f65d6d49df3e31214470a4fe5cc8e66) to /tmp/pip-req-build-qv20p6yd 2025-08-26T19:55:09.5503794Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-qv20p6yd 2025-08-26T19:55:11.2772981Z Running command git rev-parse -q --verify 'sha^966da7e46f65d6d49df3e31214470a4fe5cc8e66' 2025-08-26T19:55:11.2814118Z Running command git fetch -q https://github.com/pytorch/vision.git 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T19:55:11.4071278Z Running command git checkout -q 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T19:55:11.7142165Z Resolved https://github.com/pytorch/vision.git to commit 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T19:55:14.2882185Z Preparing metadata (setup.py) ... [?25l- \ | done 2025-08-26T19:55:14.2933984Z [?25hBuilding wheels for collected packages: torchvision 2025-08-26T19:55:14.3026330Z  DEPRECATION: Building 'torchvision' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchvision'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-08-26T19:56:55.3286280Z  Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2025-08-26T19:56:55.3328429Z [?25h Created wheel for torchvision: filename=torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl size=1200212 sha256=f7fba09b97235e59890508e968252e2d8e780af1ec569c0ff44ec294ecab5465 2025-08-26T19:56:55.3329980Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/33/6d/2f/9f3e65c401a351a98a00d9d72c4434fdbd3e10256b2d832157 2025-08-26T19:56:55.3378012Z Successfully built torchvision 2025-08-26T19:56:55.4295057Z + for file in "${wheel_dir}"/*.whl 2025-08-26T19:56:55.4296996Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-26T19:56:55.4297718Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-08-26T19:56:55.4298253Z + local args 2025-08-26T19:56:55.4298837Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-08-26T19:56:55.4299585Z + for path in "${args[@]}" 2025-08-26T19:56:55.4300414Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-08-26T19:56:55.4301124Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-26T19:56:55.4301961Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-26T19:56:55.7612890Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-08-26T19:56:55.7722518Z Installing collected packages: torchvision 2025-08-26T19:56:56.2246083Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-26T19:56:56.2816458Z + '[' -n '' ']' 2025-08-26T19:56:56.2816870Z + test_dynamo_wrapped_shard 1 2025-08-26T19:56:56.2817149Z + [[ -z 3 ]] 2025-08-26T19:56:56.2817407Z + python tools/dynamo/verify_dynamo.py 2025-08-26T19:56:57.4693440Z Python version: 3.9.23 2025-08-26T19:56:57.4693860Z `torch` version: 2.9.0a0+git262640f 2025-08-26T19:56:57.4694178Z CUDA version: None 2025-08-26T19:56:57.4694411Z ROCM version: None 2025-08-26T19:56:57.4694568Z 2025-08-26T19:56:59.7004356Z CUDA not available -- skipping CUDA check on eager backend 2025-08-26T19:56:59.7004899Z 2025-08-26T19:57:01.0133336Z CUDA not available -- skipping CUDA check on aot_eager backend 2025-08-26T19:57:01.0133904Z 2025-08-26T19:57:19.2589018Z CUDA not available -- skipping CUDA check on inductor backend 2025-08-26T19:57:19.2589497Z 2025-08-26T19:57:19.2590200Z All required checks passed 2025-08-26T19:57:20.8357801Z + python test/run_test.py --dynamo --exclude-inductor-tests --exclude-jit-executor --exclude-distributed-tests --exclude-torch-export-tests --exclude-aot-dispatch-tests --shard 1 3 --verbose --upload-artifacts-while-running 2025-08-26T19:57:23.9747374Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T19:57:23.9748944Z import pkg_resources 2025-08-26T19:57:26.2082303Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-08-26T19:57:26.2561452Z Ignoring disabled issues: [''] 2025-08-26T19:57:26.2691322Z Found test times from artifacts 2025-08-26T19:57:26.3201444Z Found test times from artifacts 2025-08-26T19:57:26.3222842Z Running all tests 2025-08-26T19:57:26.3480392Z Running parallel tests on 3 processes 2025-08-26T19:57:26.3486716Z Name: tests to run (est. time: 111.57min) 2025-08-26T19:57:26.3487228Z Serial tests (46): 2025-08-26T19:57:26.3487703Z test_ci_sanity_check_fail 1/1 2025-08-26T19:57:26.3488023Z test_overrides 1/1 2025-08-26T19:57:26.3488346Z test_reductions 2/2 2025-08-26T19:57:26.3488763Z test_cpp_extensions_mtia_backend 1/1 2025-08-26T19:57:26.3489217Z test_nn 1/3 2025-08-26T19:57:26.3489512Z test_nn 3/3 2025-08-26T19:57:26.3489922Z test_cpp_extensions_stream_and_event 1/1 2025-08-26T19:57:26.3490392Z doctests 1/1 2025-08-26T19:57:26.3490661Z dynamo/test_fake_distributed 1/1 2025-08-26T19:57:26.3491000Z test_utils 1/1 2025-08-26T19:57:26.3491235Z test_fx 1/1 2025-08-26T19:57:26.3491494Z test_transformers_privateuse1 1/1 2025-08-26T19:57:26.3491815Z test_cpp_api_parity 1/1 2025-08-26T19:57:26.3492112Z test_extension_utils 1/1 2025-08-26T19:57:26.3492442Z test_openreg 1/1 2025-08-26T19:57:26.3492692Z test_show_pickle 1/1 2025-08-26T19:57:26.3492948Z test_torch 1/2 2025-08-26T19:57:26.3493168Z test_torch 2/2 2025-08-26T19:57:26.3493406Z test_tensorexpr 1/1 2025-08-26T19:57:26.3493679Z test_namedtuple_return_api 1/1 2025-08-26T19:57:26.3493995Z test_multiprocessing 1/1 2025-08-26T19:57:26.3494271Z test_autograd_fallback 1/1 2025-08-26T19:57:26.3494594Z test_fake_tensor 1/1 2025-08-26T19:57:26.3494862Z test_python_dispatch 1/1 2025-08-26T19:57:26.3495140Z test_autocast 1/1 2025-08-26T19:57:26.3495394Z test_jit_disabled 1/1 2025-08-26T19:57:26.3495678Z functorch/test_memory_efficient_fusion 1/1 2025-08-26T19:57:26.3496013Z test_dispatch 1/1 2025-08-26T19:57:26.3496269Z test_native_mha 1/1 2025-08-26T19:57:26.3496527Z test_sort_and_select 1/1 2025-08-26T19:57:26.3496796Z test_cpp_extensions_jit 1/1 2025-08-26T19:57:26.3497095Z nn/test_pooling 1/1 2025-08-26T19:57:26.3497396Z nn/test_convolution 1/2 2025-08-26T19:57:26.3497676Z nn/test_convolution 2/2 2025-08-26T19:57:26.3498007Z test_multiprocessing_spawn 1/1 2025-08-26T19:57:26.3498318Z test_cuda_primary_ctx 1/1 2025-08-26T19:57:26.3498616Z test_mobile_optimizer 1/1 2025-08-26T19:57:26.3498937Z test_cuda_trace 1/1 2025-08-26T19:57:26.3499201Z test_cuda_nvml_based_avail 1/1 2025-08-26T19:57:26.3499552Z test_spectral_ops 1/1 2025-08-26T19:57:26.3499847Z distributions/test_distributions 1/2 2025-08-26T19:57:26.3500214Z distributions/test_distributions 2/2 2025-08-26T19:57:26.3500568Z test_cpp_extensions_aot_no_ninja 1/1 2025-08-26T19:57:26.3500891Z test_autoload_disable 1/1 2025-08-26T19:57:26.3501233Z test_autoload_enable 1/1 2025-08-26T19:57:26.3501576Z test_cpp_extensions_aot_ninja 1/1 2025-08-26T19:57:26.3502006Z Parallel tests (35): 2025-08-26T19:57:26.3502378Z dynamo/test_utils 1/1 2025-08-26T19:57:26.3502724Z dynamo/test_modes 1/1 2025-08-26T19:57:26.3503230Z dynamo/test_logging 1/1 2025-08-26T19:57:26.3503520Z dynamo/test_higher_order_ops 1/1 2025-08-26T19:57:26.3503854Z dynamo/test_aot_autograd_cache 1/1 2025-08-26T19:57:26.3504186Z dynamo/test_recompile_ux 1/1 2025-08-26T19:57:26.3504481Z dynamo/test_deque_reconstruct 1/1 2025-08-26T19:57:26.3504803Z dynamo/test_base_output 1/1 2025-08-26T19:57:26.3505096Z dynamo/test_recompiles 1/1 2025-08-26T19:57:26.3505380Z dynamo/test_interop 1/1 2025-08-26T19:57:26.3505640Z dynamo/test_sdpa 1/1 2025-08-26T19:57:26.3505963Z dynamo/test_nops 1/1 2025-08-26T19:57:26.3506236Z dynamo/test_metrics_context 1/1 2025-08-26T19:57:26.3506539Z dynamo/test_modules 1/1 2025-08-26T19:57:26.3506800Z dynamo/test_resume 1/1 2025-08-26T19:57:26.3507185Z dynamo/test_unittest 1/1 2025-08-26T19:57:26.3507485Z dynamo/test_autograd_function 1/1 2025-08-26T19:57:26.3507794Z dynamo/test_list 1/1 2025-08-26T19:57:26.3508047Z dynamo/test_profiler 1/1 2025-08-26T19:57:26.3508342Z dynamo/test_deviceguard 1/1 2025-08-26T19:57:26.3508635Z dynamo/test_flat_apply 1/1 2025-08-26T19:57:26.3508914Z dynamo/test_sets 1/1 2025-08-26T19:57:26.3509171Z dynamo/test_aot_autograd 1/1 2025-08-26T19:57:26.3509470Z dynamo/test_compiler_bisector 1/1 2025-08-26T19:57:26.3509789Z dynamo/test_bytecode_utils 1/1 2025-08-26T19:57:26.3510402Z dynamo/test_torchrec 1/1 2025-08-26T19:57:26.3510703Z dynamo/test_activation_checkpointing 1/1 2025-08-26T19:57:26.3511035Z dynamo/test_hooks 1/1 2025-08-26T19:57:26.3511307Z dynamo/test_comptime 1/1 2025-08-26T19:57:26.3511583Z test_matmul_cuda 1/1 2025-08-26T19:57:26.3511827Z test_jiterator 1/1 2025-08-26T19:57:26.3512079Z functorch/test_ac 1/1 2025-08-26T19:57:26.3512354Z test_cuda_sanitizer 1/1 2025-08-26T19:57:26.3512647Z dynamo/test_nested_graph_breaks 1/1 2025-08-26T19:57:26.3512951Z test_quantization 5/8 2025-08-26T19:57:26.3513232Z Name: excluded (est. time: 0.0min) 2025-08-26T19:57:26.3513537Z Serial tests (0): 2025-08-26T19:57:26.3513786Z Parallel tests (0): 2025-08-26T19:57:26.3514146Z Running test_ci_sanity_check_fail 1/1 ... [2025-08-26 19:57:26.350033] 2025-08-26T19:57:26.3514588Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:57:26.3515662Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:57:26.350442] 2025-08-26T19:57:50.4899532Z Uploading artifacts took 0.27 seconds 2025-08-26T19:57:50.4901708Z Running test_overrides 1/1 ... [2025-08-26 19:57:50.490003] 2025-08-26T19:57:50.4902111Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T19:57:50.4907487Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:57:50.490415] 2025-08-26T20:00:31.5761335Z 2025-08-26T20:00:31.5763750Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_0b7b13c8ac292b57_.log 2025-08-26T20:00:31.6259053Z Running 1470 items in this shard: test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_H___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_T___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__backward_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__base___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__cdata___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__post_accumulate_grad_hooks___get__, 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test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_meta___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mkldnn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mps___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mtia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_nested___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_quantized___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse_csr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_vulkan___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xla___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xpu___get__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_requires_grad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_sparse_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_retain_grad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_roll, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_row_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split_with_sizes, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_psi, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_u, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_v, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_w, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_sinc, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__lobpcg_lobpcg, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_pca_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_svd_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__make_dual_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__native_batch_norm_legit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__neg_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__reshape_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__rowwise_prune, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sparse_broadcast_to_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unravel_index, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fused_moving_avg_obs_fake_quant, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gather, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ge, test/test_overrides.py::TestTorchFunctionOverride::test_torch_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ger, test/test_overrides.py::TestTorchFunctionOverride::test_torch_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gradient, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hash_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogramdd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_imag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inner, test/test_overrides.py::TestTorchFunctionOverride::test_torch_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_istft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kron, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_torch_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_le, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log10, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_unpack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_median, test/test_overrides.py::TestTorchFunctionOverride::test_torch_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_add_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_depthwise_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_rnn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mode, test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_normalize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_pad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu6, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_silu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_smooth_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softsign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_tanhshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_with_distance_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_constant_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_kaiming_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_torch_norm_except_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nuclear_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_numel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ones_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_outer, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rand_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randint_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randn_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_smm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_square, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_topk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trace, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapz, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tril, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unflatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unfold_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_where, test/test_overrides.py::TestTorchFunctionOverride::test_torch_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_zeros_like, test/test_overrides.py::TestTorchFunctionOverride::test_user_implementation_raises, test/test_overrides.py::TestEinsumOverride::test_wrapper, test/test_overrides.py::TestGradCheckOverride::test_gradcheck, test/test_overrides.py::TestNamedTuple::test_max, test/test_overrides.py::TestGradNewOnesOverride::test_newones, test/test_overrides.py::TestPickle::test_pickle, test/test_overrides.py::TestBroadcastAllOverride::test_broadcast_all, test/test_overrides.py::TestWrapTorchFunction::test_wrap_torch_function, test/test_overrides.py::TestIndexing::test_getitem, test/test_overrides.py::TestIndexing::test_getitem_subclass, test/test_overrides.py::TestIndexing::test_setitem, test/test_overrides.py::TestIndexing::test_setitem_subclass, test/test_overrides.py::TestIndexing::test_setitem_val, test/test_overrides.py::TestIterator::test_iterator, test/test_overrides.py::TestRNN::test_rnn, test/test_overrides.py::TestDisabledTorchFunction::test_parameter_does_not_prevent_dispatch, test/test_overrides.py::TestResolveName::test_resolve_name, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_tensor_subclass, test/test_overrides.py::TestDisabledUserWarnings::test_no_implicit_user_warning_for_deprecated_functions, test/test_overrides.py::TestTorchFunctionMode::test_all_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_basic, test/test_overrides.py::TestTorchFunctionMode::test_custom_device_type, test/test_overrides.py::TestTorchFunctionMode::test_device_context_semantics, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_mode, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_not_mode, test/test_overrides.py::TestTorchFunctionMode::test_distributions_bernoulli, test/test_overrides.py::TestTorchFunctionMode::test_error_using_class_method_on_mode, test/test_overrides.py::TestTorchFunctionMode::test_factory_override, test/test_overrides.py::TestTorchFunctionMode::test_get_cur_mode, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented, test/test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function, test/test_overrides.py::TestTorchFunctionMode::test_nested_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_nn_parse_to, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor, test/test_overrides.py::TestTorchFunctionMode::test_subclass_hash, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_with_mode, test/test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately, test/test_overrides.py::TestTorchFunctionMode::test_with_nested_modes 2025-08-26T20:00:31.6739784Z 2025-08-26T20:00:31.6739988Z Running test_reductions 2/2 ... [2025-08-26 20:00:31.578828] 2025-08-26T20:00:31.6740450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:00:31.6741503Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_reductions.py', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:00:31.579350] 2025-08-26T20:07:53.8417361Z 2025-08-26T20:07:53.8418585Z test_reductions 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_2.2_45acfff4dd03bdbb_.log 2025-08-26T20:07:53.9286466Z Running 2272 items in this shard: test/test_reductions.py::TestReductionsCPU::test_accreal_type_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_uint8, 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test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_parallel_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_reduce_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability2_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability_cpu, test/test_reductions.py::TestReductionsCPU::test_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float32 2025-08-26T20:07:54.0145573Z 2025-08-26T20:07:54.0145852Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-08-26 20:07:53.846026] 2025-08-26T20:07:54.0146350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:07:54.0147493Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:07:53.846547] 2025-08-26T20:08:00.3877434Z 2025-08-26T20:08:00.3879190Z test_cpp_extensions_mtia_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_mtia_backend_1.1_fa7b6a912119a48a_.log 2025-08-26T20:08:00.3884864Z Running 5 items in this shard: test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_device_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_get_device_module, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_basic, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context_different_device 2025-08-26T20:08:00.3888948Z 2025-08-26T20:08:00.3889221Z Running test_nn 1/3 ... [2025-08-26 20:08:00.388462] 2025-08-26T20:08:00.3890064Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:08:00.3894286Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:00.389120] 2025-08-26T20:21:15.8030596Z 2025-08-26T20:21:15.8031385Z test_nn 1/3 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.3_37e909f2c72e5952_.log 2025-08-26T20:21:15.8454190Z Running 763 items in this shard: test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_CELU_no_batch_dim, test/test_nn.py::TestNN::test_CELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_CTCLoss_critical_target_len, test/test_nn.py::TestNN::test_CTCLoss_long_targets, test/test_nn.py::TestNN::test_CTCLoss_zero_infinity, test/test_nn.py::TestNN::test_Conv1d, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_pad_same, test/test_nn.py::TestNN::test_Conv1d_pad_valid, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_stride, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_pad_same, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv2d_padding, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_strided, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_stride, test/test_nn.py::TestNN::test_Conv3d_stride_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose3d, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_CrossMapLRN2d, test/test_nn.py::TestNN::test_ELU_no_batch_dim, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx, test/test_nn.py::TestNN::test_Embedding_sparse, test/test_nn.py::TestNN::test_Embedding_sparse_cuda, test/test_nn.py::TestNN::test_Fold, test/test_nn.py::TestNN::test_Fold_cuda, test/test_nn.py::TestNN::test_Fold_int_input, test/test_nn.py::TestNN::test_Fold_int_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input, test/test_nn.py::TestNN::test_GLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_HuberLoss_delta_cuda, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex_cuda, test/test_nn.py::TestNN::test_LSTM_cell, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval_cuda, test/test_nn.py::TestNN::test_Linear, test/test_nn.py::TestNN::test_Linear_cuda, test/test_nn.py::TestNN::test_Linear_no_batch_dim, test/test_nn.py::TestNN::test_Linear_no_bias, test/test_nn.py::TestNN::test_Linear_no_bias_cuda, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_reduce, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MaxUnpool1d_net, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool3d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_nn.py::TestNN::test_PReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs, test/test_nn.py::TestNN::test_PairwiseDistance_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args, test/test_nn.py::TestNN::test_ParameterDict, test/test_nn.py::TestNN::test_ParameterDict_replication, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_RNN_cell, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_no_dropout, test/test_nn.py::TestNN::test_RNN_cudnn_weight_norm, test/test_nn.py::TestNN::test_RNN_dropout_state, test/test_nn.py::TestNN::test_RNN_input_size_zero, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim, test/test_nn.py::TestNN::test_ReLU_no_batch_dim, test/test_nn.py::TestNN::test_ReplicationPad3d, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sequential_imul, test/test_nn.py::TestNN::test_Sequential_insert_fail_case, test/test_nn.py::TestNN::test_SiLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_Softsign_no_batch_dim, test/test_nn.py::TestNN::test_Softsign_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanh_no_batch_dim, test/test_nn.py::TestNN::test_Threshold_no_batch_dim, test/test_nn.py::TestNN::test_Threshold_no_batch_dim_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_Transformer_cell, test/test_nn.py::TestNN::test_Transformer_multilayer_coder, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim, test/test_nn.py::TestNN::test_Unfold_cuda, test/test_nn.py::TestNN::test_Unfold_int_input, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_2, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_3, test/test_nn.py::TestNN::test_batch_norm_update_stats, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_cudnn_half, test/test_nn.py::TestNN::test_batchnorm_nhwc_cpu, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_less_than_one_value_per_channel, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_weights, test/test_nn.py::TestNN::test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none, test/test_nn.py::TestNN::test_broadcast_no_grad, test/test_nn.py::TestNN::test_buffer_not_persistent_overwrite, test/test_nn.py::TestNN::test_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_diff_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_no_reduce, test/test_nn.py::TestNN::test_cudnn_forward_exception, test/test_nn.py::TestNN::test_cudnn_rnn_dropout_states_device, test/test_nn.py::TestNN::test_cudnn_weight_tying, test/test_nn.py::TestNN::test_dir, test/test_nn.py::TestNN::test_elu_inplace_gradgrad, test/test_nn.py::TestNN::test_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_set_extra_state, test/test_nn.py::TestNN::test_extra_state_non_dict, test/test_nn.py::TestNN::test_get_buffer, test/test_nn.py::TestNN::test_grid_sample, test/test_nn.py::TestNN::test_grid_sample_3d, test/test_nn.py::TestNN::test_hardtanh_inplace_gradgrad, test/test_nn.py::TestNN::test_inplace_thnn, test/test_nn.py::TestNN::test_interpolate, test/test_nn.py::TestNN::test_interpolate_bicubic_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d, test/test_nn.py::TestNN::test_interpolate_nearest_1d, test/test_nn.py::TestNN::test_interpolate_nearest_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d, test/test_nn.py::TestNN::test_interpolate_nearest_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_nn.py::TestNN::test_layer_norm_eps, test/test_nn.py::TestNN::test_layer_norm_grads_with_create_graph_flag, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSC, test/test_nn.py::TestNN::test_log_softmax_dim0, test/test_nn.py::TestNN::test_log_softmax_dim0_cuda, test/test_nn.py::TestNN::test_log_softmax_dim3_cuda, test/test_nn.py::TestNN::test_log_softmax_scalar_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial, test/test_nn.py::TestNN::test_log_softmax_spatial_cuda, test/test_nn.py::TestNN::test_loss_equal_input_target_shape, test/test_nn.py::TestNN::test_module_apply_inplace_op, test/test_nn.py::TestNN::test_module_super_init, test/test_nn.py::TestNN::test_module_to_argparse, test/test_nn.py::TestNN::test_mse_loss_size_warning, test/test_nn.py::TestNN::test_nested_tensor_from_mask_error, test/test_nn.py::TestNN::test_non_leaf_parameters, test/test_nn.py::TestNN::test_normalize, test/test_nn.py::TestNN::test_pairwise_distance, test/test_nn.py::TestNN::test_parameterlistdict_setting_attributes, test/test_nn.py::TestNN::test_parameters_and_named_parameters, test/test_nn.py::TestNN::test_parameters_to_vector, test/test_nn.py::TestNN::test_partial_flat_weights, test/test_nn.py::TestNN::test_pdist_cpu_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_cuda_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_large, test/test_nn.py::TestNN::test_pdist_zeros, test/test_nn.py::TestNN::test_pickle_module_no_weights_only_warning, test/test_nn.py::TestNN::test_pixel_shuffle_unshuffle, test/test_nn.py::TestNN::test_pointwise_loss_broadcast, test/test_nn.py::TestNN::test_register_buffer_allows_tensor_like_object, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_not_tensor, test/test_nn.py::TestNN::test_repr, test/test_nn.py::TestNN::test_rnn_check_device, test/test_nn.py::TestNN::test_set_submodule, test/test_nn.py::TestNN::test_share_memory, test/test_nn.py::TestNN::test_smoothl1loss_intergral_target, test/test_nn.py::TestNN::test_smoothl1loss_negative_beta_not_supported, test/test_nn.py::TestNN::test_softmax_functional_dim3, test/test_nn.py::TestNN::test_softmax_functional_dim3_cuda, test/test_nn.py::TestNN::test_softmax_functional_scalar, test/test_nn.py::TestNN::test_softmax_spatial, test/test_nn.py::TestNN::test_softmax_spatial_cuda, test/test_nn.py::TestNN::test_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_softmin, test/test_nn.py::TestNN::test_spectral_norm, test/test_nn.py::TestNN::test_spectral_norm_dim, test/test_nn.py::TestNN::test_spectral_norm_forward, test/test_nn.py::TestNN::test_spectral_norm_pickle, test/test_nn.py::TestNN::test_sync_batchnorm_backward_elemt, test/test_nn.py::TestNN::test_threshold_int, test/test_nn.py::TestNN::test_to, test/test_nn.py::TestNN::test_triplet_margin_loss, test/test_nn.py::TestNN::test_unflatten, test/test_nn.py::TestNN::test_upsamplingLinear1d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_bfloat16, test/test_nn.py::TestNN::test_upsampling_small_scale, test/test_nn.py::TestNN::test_vector_to_parameters, test/test_nn.py::TestConstantPadNd::test_constant_pad_nd, test/test_nn.py::TestConstantPadNd::test_preserves_memory_format, test/test_nn.py::TestFusionUtils::test_fuse_linear_bn_requires_grad, test/test_nn.py::TestNNDeviceTypeCPU::test_BatchNorm_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_raises_error_if_one_value_per_group_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm2d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_deterministic_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad1d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate45_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate90_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_channel_shuffle_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_error_if_nonfinite_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_weight_ignore_indices_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_index_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_one_hot_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cpu_length_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_with_neg_alpha_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_glu_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_hardsigmoid_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_less_than_one_value_per_channel_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_invalid_reduction_strings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_neg_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_zero_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_linear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_big_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_logsigmoid_out_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_TxT_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_all_ignored_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_mean_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_none_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_target_dim_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_mismatched_batch_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_total_weight_is_zero_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_retain_variables_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_save_lstm_compatibility_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_skip_init_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_vs_huber_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_without_fully_vectorized_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_forward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_negative_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_fast_path_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_fail_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingnearest2d_backward_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float32 2025-08-26T20:21:15.8865683Z 2025-08-26T20:21:16.2724331Z Uploading artifacts took 0.47 seconds 2025-08-26T20:21:16.2728623Z Running test_nn 3/3 ... [2025-08-26 20:21:16.272658] 2025-08-26T20:21:16.2729270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:21:16.2733969Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_nn.py', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:21:16.273128] 2025-08-26T20:32:40.4744723Z 2025-08-26T20:32:40.4745788Z test_nn 3/3 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_3.3_cde96ffa28ce4f31_.log 2025-08-26T20:32:40.5137947Z Running 732 items in this shard: test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_reduce, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cuda, test/test_nn.py::TestNN::test_CTCLoss_typechecks, test/test_nn.py::TestNN::test_CTCLoss_zero_lengths, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_stride_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_padding_cuda, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_valid, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_CrossMapLRN2d_cuda, test/test_nn.py::TestNN::test_ELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Embedding, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_mean_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse, test/test_nn.py::TestNN::test_Embedding_discontiguous, test/test_nn.py::TestNN::test_Flatten, test/test_nn.py::TestNN::test_Flatten_no_batch_dim, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input_cuda, test/test_nn.py::TestNN::test_GELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_GLU_no_batch_dim, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_delta, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_cuda, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MaxUnpool1d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool2d_net, test/test_nn.py::TestNN::test_MaxUnpool2d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim, test/test_nn.py::TestNN::test_Mish_no_batch_dim, test/test_nn.py::TestNN::test_ModuleList, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_PReLU_backward_requires_grad_false, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args_cuda, test/test_nn.py::TestNN::test_ParameterList_meta, test/test_nn.py::TestNN::test_ParameterList_replication, test/test_nn.py::TestNN::test_PixelShuffle, test/test_nn.py::TestNN::test_PixelShuffle_cuda, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_RNN_cell_forward_zero_hidden_size, test/test_nn.py::TestNN::test_RNN_change_dropout, test/test_nn.py::TestNN::test_RNN_dropout, test/test_nn.py::TestNN::test_RNN_nonlinearity, test/test_nn.py::TestNN::test_RNN_nonlinearity_passed_as_arg, test/test_nn.py::TestNN::test_RReLU, test/test_nn.py::TestNN::test_RReLU_no_batch_dim, test/test_nn.py::TestNN::test_RReLU_with_up_down_cuda, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SELU_no_batch_dim, test/test_nn.py::TestNN::test_SELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sequential_add, test/test_nn.py::TestNN::test_Sequential_append, test/test_nn.py::TestNN::test_Sequential_extend, test/test_nn.py::TestNN::test_Sequential_getitem, test/test_nn.py::TestNN::test_Sequential_insert, test/test_nn.py::TestNN::test_SiLU_no_batch_dim, test/test_nn.py::TestNN::test_SmoothL1Loss_beta_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim, test/test_nn.py::TestNN::test_Tanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Unfold, test/test_nn.py::TestNN::test_add_module, test/test_nn.py::TestNN::test_add_module_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_affine_grid_3d, test/test_nn.py::TestNN::test_affine_grid_error_checking, test/test_nn.py::TestNN::test_assignment, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_nhwc_cuda, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_SyncBatchNorm, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_bias_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_weight_is_not_same_size_as_input, test/test_nn.py::TestNN::test_bce_loss_input_range, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_pos_weights, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad, test/test_nn.py::TestNN::test_bce_with_logits_stability, test/test_nn.py::TestNN::test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bilinear_broadcasting, test/test_nn.py::TestNN::test_bilinear_no_bias, test/test_nn.py::TestNN::test_bilinear_value_error, test/test_nn.py::TestNN::test_buffer_bad_module_subclass, test/test_nn.py::TestNN::test_buffer_not_persistent, test/test_nn.py::TestNN::test_buffer_not_persistent_assign, test/test_nn.py::TestNN::test_buffer_not_persistent_load, test/test_nn.py::TestNN::test_buffers_and_named_buffers, test/test_nn.py::TestNN::test_channel_shuffle_input_checks, test/test_nn.py::TestNN::test_children, test/test_nn.py::TestNN::test_container_copy, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_nonexpandable_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_invalid_shape, test/test_nn.py::TestNN::test_cosine_embedding_loss_margin_no_reduce, test/test_nn.py::TestNN::test_cosine_similarity, test/test_nn.py::TestNN::test_cross_entropy_loss_zero_div, test/test_nn.py::TestNN::test_dir_digit, test/test_nn.py::TestNN::test_flatten, test/test_nn.py::TestNN::test_fractional_max_pool2d_invalid_output_ratio, test/test_nn.py::TestNN::test_getattr_with_property, test/test_nn.py::TestNN::test_grid_sample_error_checking, test/test_nn.py::TestNN::test_grid_sample_nearest_neighbor_rounding_mode_consistency, test/test_nn.py::TestNN::test_hardtanh_backward, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_buffer_overflow, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d, test/test_nn.py::TestNN::test_interpolate_nearest_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d, test/test_nn.py::TestNN::test_interpolate_undefined_behavior_casting, test/test_nn.py::TestNN::test_kl_div_log_softmax_target, test/test_nn.py::TestNN::test_l1_loss_correct, test/test_nn.py::TestNN::test_layer_norm_backwards_eps, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightStrided, test/test_nn.py::TestNN::test_log_softmax_dim3, test/test_nn.py::TestNN::test_log_softmax_lastdim, test/test_nn.py::TestNN::test_log_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_margin_ranking_loss_no_reduce, test/test_nn.py::TestNN::test_module_backcompat, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce, test/test_nn.py::TestNN::test_named_children, test/test_nn.py::TestNN::test_named_parameters_remove_duplicate, test/test_nn.py::TestNN::test_no_grad, test/test_nn.py::TestNN::test_overwrite_module_params_on_conversion, test/test_nn.py::TestNN::test_padding_list, test/test_nn.py::TestNN::test_parameter_assignment, test/test_nn.py::TestNN::test_parameterlistdict_pickle, test/test_nn.py::TestNN::test_parse_to, test/test_nn.py::TestNN::test_pdist_empty_row, test/test_nn.py::TestNN::test_pixel_shuffle_nhwc_cpu, test/test_nn.py::TestNN::test_pointwise_loss_target_grad_none_reduction, test/test_nn.py::TestNN::test_projections_lstm_initial_hidden_state, test/test_nn.py::TestNN::test_register_buffer_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_relu_inplace_on_view, test/test_nn.py::TestNN::test_requires_grad_, test/test_nn.py::TestNN::test_rnn_initial_hidden_state, test/test_nn.py::TestNN::test_softmax_functional_dim0_cuda, test/test_nn.py::TestNN::test_softmax_lastdim, test/test_nn.py::TestNN::test_softmax_lastdim_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial_special, test/test_nn.py::TestNN::test_spectral_norm_load_state_dict, test/test_nn.py::TestNN::test_state_dict, test/test_nn.py::TestNN::test_swap_module_params_poisons_acc_grad, test/test_nn.py::TestNN::test_sync_batchnorm_accuracy_cuda, test/test_nn.py::TestNN::test_threshold_bfloat16_half, test/test_nn.py::TestNN::test_train_errors_for_invalid_mode, test/test_nn.py::TestNN::test_transformer_args_check, test/test_nn.py::TestNN::test_transformerdecoder, test/test_nn.py::TestNN::test_transformerdecoderlayer, test/test_nn.py::TestNN::test_transformerdecoderlayer_gelu, test/test_nn.py::TestNN::test_triplet_margin_loss_swap_no_reduce, test/test_nn.py::TestNN::test_unflatten_invalid_arg, test/test_nn.py::TestNN::test_unfold_invalid_arg, test/test_nn.py::TestNN::test_upsamplingBilinear2d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingLinear1d, test/test_nn.py::TestNN::test_upsamplingTrilinear3d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_not_recompute_scale_factor, test/test_nn.py::TestNN::test_weight_norm, test/test_nn.py::TestNN::test_weighted_huber_loss, test/test_nn.py::TestNN::test_weighted_l1_loss_with_weights, test/test_nn.py::TestNN::test_weighted_mse_loss, test/test_nn.py::TestFusionEval::test_fuse_module_eval_numerics, test/test_nn.py::TestAddRelu::test_add_relu, test/test_nn.py::TestAddRelu::test_add_relu_broadcasting, test/test_nn.py::TestUtils::test_consume_prefix_in_state_dict_if_present, test/test_nn.py::TestNNDeviceTypeCPU::test_Bilinear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_empty_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GRU_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_memory_format_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm1d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_LocalResponseNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Transformer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Unfold_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_all_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_device_mask_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_for_single_spatial_element_during_training_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_lstmcell_backward_only_one_output_grad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_forward_with_nans_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_non_recursive_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_out_of_bounds_ignore_index_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nonlinearity_propagate_nan_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_one_hot_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_replicatepad_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_smoothl1loss_backward_zero_beta_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_grad_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_double_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_low_threshold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_threshold_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_gelu_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_default_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_correctness_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_variable_sequence_cpu_float32 2025-08-26T20:32:40.5518366Z 2025-08-26T20:32:40.5518655Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-08-26 20:32:40.476695] 2025-08-26T20:32:40.5519165Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:32:40.5520540Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:32:40.477289] 2025-08-26T20:32:48.5713765Z 2025-08-26T20:32:48.5714882Z test_cpp_extensions_stream_and_event 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_stream_and_event_1.1_d1d6a630bf847437_.log 2025-08-26T20:32:48.5716221Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event 2025-08-26T20:32:48.5716801Z 2025-08-26T20:32:48.5720525Z Running doctests 1/1 ... [2025-08-26 20:32:48.571869] 2025-08-26T20:32:48.7100080Z Start doctest_module('/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch') 2025-08-26T20:32:48.7100589Z Listing tests 2025-08-26T20:32:49.4088116Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py line=375. 2025-08-26T20:32:49.4089039Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:49.4089640Z Registers the function implementation as the fallback for the given key. 2025-08-26T20:32:49.4090014Z 2025-08-26T20:32:49.4090272Z This function only works for a library with global namespace ("_"). 2025-08-26T20:32:49.4090622Z 2025-08-26T20:32:49.4090706Z Args: 2025-08-26T20:32:49.4091123Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-08-26T20:32:49.4091646Z to register a fallthrough. 2025-08-26T20:32:49.4092186Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-08-26T20:32:49.4092803Z the dispatch key that the library was created with. 2025-08-26T20:32:49.4093465Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-08-26T20:32:49.4094376Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-08-26T20:32:49.4094819Z 2025-08-26T20:32:49.4094958Z Example:: 2025-08-26T20:32:49.4095102Z 2025-08-26T20:32:49.4095217Z >>> my_lib = Library("_", "IMPL") 2025-08-26T20:32:49.4095580Z >>> def fallback_kernel(op, *args, **kwargs): 2025-08-26T20:32:49.4095961Z >>> # Handle all autocast ops generically 2025-08-26T20:32:49.4096300Z >>> # ... 2025-08-26T20:32:49.4096598Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-08-26T20:32:49.4096948Z 2025-08-26T20:32:49.4097545Z Original Error: IndentationError('expected an indented block', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n')) 2025-08-26T20:32:49.4098129Z 2025-08-26T20:32:49.4098271Z my_lib.fallback(fallback_kernel, "Autocast") 2025-08-26T20:32:49.4098600Z ^ 2025-08-26T20:32:49.4255800Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py line=948. 2025-08-26T20:32:49.4256637Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:49.4257236Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-08-26T20:32:49.4257869Z 2025-08-26T20:32:49.4258047Z Also sometimes known as a "meta kernel", "abstract impl". 2025-08-26T20:32:49.4258338Z 2025-08-26T20:32:49.4258594Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-08-26T20:32:49.4259178Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-08-26T20:32:49.4259745Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-08-26T20:32:49.4260251Z what the properties of the output Tensors are. 2025-08-26T20:32:49.4260519Z 2025-08-26T20:32:49.4260749Z The FakeTensor implementation has the same signature as the operator. 2025-08-26T20:32:49.4261410Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-08-26T20:32:49.4261951Z implementation, assume that all Tensor inputs to the operator are 2025-08-26T20:32:49.4262498Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-08-26T20:32:49.4263035Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-08-26T20:32:49.4263594Z The FakeTensor implementation must consist of only PyTorch operations 2025-08-26T20:32:49.4264136Z (and may not directly access the storage or data of any input or 2025-08-26T20:32:49.4264541Z intermediate Tensors). 2025-08-26T20:32:49.4264730Z 2025-08-26T20:32:49.4264881Z This API may be used as a decorator (see examples). 2025-08-26T20:32:49.4265157Z 2025-08-26T20:32:49.4265294Z For a detailed guide on custom ops, please see 2025-08-26T20:32:49.4265796Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-08-26T20:32:49.4266138Z 2025-08-26T20:32:49.4266233Z Args: 2025-08-26T20:32:49.4266571Z op_name: Operator name (along with the overload) or OpOverload object. 2025-08-26T20:32:49.4267033Z func: Fake tensor implementation. 2025-08-26T20:32:49.4267458Z lib (Optional[Library]): Library to register the fake tensor to. 2025-08-26T20:32:49.4267961Z allow_override: Flag controlling if we want to override an 2025-08-26T20:32:49.4268426Z existing registered fake impl. This is by default off, 2025-08-26T20:32:49.4268897Z and will error you're trying to register a fake impl to 2025-08-26T20:32:49.4269365Z an operator that already has a fake impl. This also only 2025-08-26T20:32:49.4269824Z applies if the custom operator was not created via 2025-08-26T20:32:49.4270281Z torch.library.custom_op, as overriding and existing fake 2025-08-26T20:32:49.4270705Z impl is already allowed. 2025-08-26T20:32:49.4270942Z 2025-08-26T20:32:49.4271032Z Examples: 2025-08-26T20:32:49.4271262Z >>> import torch 2025-08-26T20:32:49.4271531Z >>> import numpy as np 2025-08-26T20:32:49.4271813Z >>> from torch import Tensor 2025-08-26T20:32:49.4272109Z >>> 2025-08-26T20:32:49.4272423Z >>> # Example 1: an operator without data-dependent output shape 2025-08-26T20:32:49.4272969Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-08-26T20:32:49.4273515Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-26T20:32:49.4274038Z >>> raise NotImplementedError("Implementation goes here") 2025-08-26T20:32:49.4274422Z >>> 2025-08-26T20:32:49.4274715Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-08-26T20:32:49.4275091Z >>> def _(x, weight, bias): 2025-08-26T20:32:49.4275395Z >>> assert x.dim() == 2 2025-08-26T20:32:49.4275704Z >>> assert weight.dim() == 2 2025-08-26T20:32:49.4276166Z >>> assert bias.dim() == 1 2025-08-26T20:32:49.4276490Z >>> assert x.shape[1] == weight.shape[1] 2025-08-26T20:32:49.4276893Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-26T20:32:49.4277361Z >>> assert x.device == weight.device 2025-08-26T20:32:49.4277681Z >>> 2025-08-26T20:32:49.4277921Z >>> return (x @ weight.t()) + bias 2025-08-26T20:32:49.4278220Z >>> 2025-08-26T20:32:49.4278516Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-08-26T20:32:49.4278911Z >>> x = torch.randn(2, 3) 2025-08-26T20:32:49.4279228Z >>> w = torch.randn(3, 3) 2025-08-26T20:32:49.4279521Z >>> b = torch.randn(3) 2025-08-26T20:32:49.4279857Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-08-26T20:32:49.4280197Z >>> 2025-08-26T20:32:49.4280423Z >>> assert y.shape == (2, 3) 2025-08-26T20:32:49.4280700Z >>> 2025-08-26T20:32:49.4281064Z >>> # Example 2: an operator with data-dependent output shape 2025-08-26T20:32:49.4281582Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-08-26T20:32:49.4282053Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-08-26T20:32:49.4282400Z >>> x_np = x.numpy(force=True) 2025-08-26T20:32:49.4282754Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-26T20:32:49.4283145Z >>> return torch.tensor(res, device=x.device) 2025-08-26T20:32:49.4283481Z >>> 2025-08-26T20:32:49.4283778Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-08-26T20:32:49.4284147Z >>> def _(x): 2025-08-26T20:32:49.4284455Z >>> # Number of nonzero-elements is data-dependent. 2025-08-26T20:32:49.4284876Z >>> # Since we cannot peek at the data in an fake impl, 2025-08-26T20:32:49.4285309Z >>> # we use the ctx object to construct a new symint that 2025-08-26T20:32:49.4285742Z >>> # represents the data-dependent size. 2025-08-26T20:32:49.4286177Z >>> ctx = torch.library.get_ctx() 2025-08-26T20:32:49.4286592Z >>> nnz = ctx.new_dynamic_size() 2025-08-26T20:32:49.4286920Z >>> shape = [nnz, x.dim()] 2025-08-26T20:32:49.4287269Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-26T20:32:49.4287732Z >>> return result 2025-08-26T20:32:49.4288006Z >>> 2025-08-26T20:32:49.4288314Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-08-26T20:32:49.4288685Z >>> 2025-08-26T20:32:49.4288926Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-08-26T20:32:49.4289397Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-08-26T20:32:49.4289878Z >>> trace.print_readable() 2025-08-26T20:32:49.4290154Z >>> 2025-08-26T20:32:49.4290503Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-08-26T20:32:49.4290862Z 2025-08-26T20:32:49.4290943Z 2025-08-26T20:32:49.4291421Z Original Error: IndentationError('expected an indented block', ('', 38, 1, '_._ = None\n')) 2025-08-26T20:32:49.4291896Z 2025-08-26T20:32:49.4291989Z _._ = None 2025-08-26T20:32:49.4292210Z ^ 2025-08-26T20:32:49.4425319Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py line=1482. 2025-08-26T20:32:49.4426188Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:49.4426768Z Returns the computed kernel for a given operator and dispatch key. 2025-08-26T20:32:49.4427110Z 2025-08-26T20:32:49.4427335Z This function retrieves the kernel that would be executed for a given 2025-08-26T20:32:49.4427917Z operator and dispatch key combination. The returned SafeKernelFunction 2025-08-26T20:32:49.4428470Z can be used to call the kernel in a boxed fashion. The intended use 2025-08-26T20:32:49.4428982Z case for this function is to retrieve the original kernel for a given 2025-08-26T20:32:49.4429547Z dispatch key and then register another kernel to the same dispatch key 2025-08-26T20:32:49.4430058Z that calls into the original kernel for certain cases. 2025-08-26T20:32:49.4430561Z 2025-08-26T20:32:49.4430661Z Args: 2025-08-26T20:32:49.4430975Z op: Operator name (along with the overload) or OpOverload object 2025-08-26T20:32:49.4431545Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-08-26T20:32:49.4432150Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-08-26T20:32:49.4432721Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-08-26T20:32:49.4433028Z 2025-08-26T20:32:49.4433129Z Returns: 2025-08-26T20:32:49.4433487Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-08-26T20:32:49.4433945Z call the kernel. 2025-08-26T20:32:49.4434129Z 2025-08-26T20:32:49.4434215Z Raises: 2025-08-26T20:32:49.4434580Z RuntimeError: If the operator does not exist. 2025-08-26T20:32:49.4434836Z 2025-08-26T20:32:49.4434921Z Example: 2025-08-26T20:32:49.4435174Z >>> # Get the CPU kernel for torch.add 2025-08-26T20:32:49.4435602Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-08-26T20:32:49.4436002Z >>> 2025-08-26T20:32:49.4436239Z >>> # You can also use DispatchKey enum 2025-08-26T20:32:49.4436731Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-08-26T20:32:49.4437194Z >>> 2025-08-26T20:32:49.4437433Z >>> # Or use an OpOverload directly 2025-08-26T20:32:49.4437883Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-08-26T20:32:49.4438306Z >>> 2025-08-26T20:32:49.4438645Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-08-26T20:32:49.4439110Z >>> # Get the original kernel for torch.sin 2025-08-26T20:32:49.4439569Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-08-26T20:32:49.4439974Z >>> 2025-08-26T20:32:49.4440322Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-08-26T20:32:49.4440813Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-08-26T20:32:49.4441163Z >>> if (x < 0).any(): 2025-08-26T20:32:49.4441525Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-08-26T20:32:49.4441915Z >>> else: 2025-08-26T20:32:49.4442185Z >>> return torch.zeros_like(x) 2025-08-26T20:32:49.4442499Z >>> 2025-08-26T20:32:49.4442745Z >>> lib = torch.library.Library("aten", "IMPL") 2025-08-26T20:32:49.4443253Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-08-26T20:32:49.4443818Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-08-26T20:32:49.4444320Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-08-26T20:32:49.4444715Z >>> 2025-08-26T20:32:49.4444936Z >>> # Test the conditional behavior 2025-08-26T20:32:49.4445282Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-08-26T20:32:49.4445638Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-08-26T20:32:49.4445968Z >>> torch.sin(x_positive) 2025-08-26T20:32:49.4446249Z tensor([0., 0.]) 2025-08-26T20:32:49.4446511Z >>> torch.sin(x_mixed) 2025-08-26T20:32:49.4446796Z tensor([-0.8415, 0.9093]) 2025-08-26T20:32:49.4447068Z 2025-08-26T20:32:49.4447726Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n')) 2025-08-26T20:32:49.4448312Z 2025-08-26T20:32:49.4448491Z which needs to be the first argument to ``kernel.call_boxed`` 2025-08-26T20:32:49.4448873Z ^ 2025-08-26T20:32:49.7901568Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/accelerator/__init__.py line=66. 2025-08-26T20:32:49.7902485Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:49.7903415Z Check if the current accelerator is available at runtime: it was build, all the 2025-08-26T20:32:49.7904012Z required drivers are available and at least one device is visible. 2025-08-26T20:32:49.7904498Z See :ref:`accelerator` for details. 2025-08-26T20:32:49.7904758Z 2025-08-26T20:32:49.7904846Z Returns: 2025-08-26T20:32:49.7905274Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-08-26T20:32:49.7905685Z 2025-08-26T20:32:49.7905952Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-08-26T20:32:49.7906576Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-08-26T20:32:49.7907310Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-08-26T20:32:49.7907834Z :ref:`multiprocessing-poison-fork-note`. 2025-08-26T20:32:49.7908085Z 2025-08-26T20:32:49.7908180Z Example:: 2025-08-26T20:32:49.7908322Z 2025-08-26T20:32:49.7908600Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T20:32:49.7909083Z 2025-08-26T20:32:49.7909740Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n')) 2025-08-26T20:32:49.7910588Z 2025-08-26T20:32:49.7910864Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T20:32:49.7911334Z ^ 2025-08-26T20:32:49.7930470Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/accelerator/__init__.py line=212. 2025-08-26T20:32:49.7931415Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:49.7932003Z Wait for all kernels in all streams on the given device to complete. 2025-08-26T20:32:49.7932323Z 2025-08-26T20:32:49.7932421Z Args: 2025-08-26T20:32:49.7932848Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-08-26T20:32:49.7933533Z the current :ref:`accelerator` device type. If not given, 2025-08-26T20:32:49.7934087Z use :func:`torch.accelerator.current_device_index` by default. 2025-08-26T20:32:49.7934396Z 2025-08-26T20:32:49.7934735Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-08-26T20:32:49.7935161Z 2025-08-26T20:32:49.7935268Z Example:: 2025-08-26T20:32:49.7935401Z 2025-08-26T20:32:49.7935542Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T20:32:49.7936067Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T20:32:49.7936616Z >>> start_event = torch.Event(enable_timing=True) 2025-08-26T20:32:49.7937018Z >>> end_event = torch.Event(enable_timing=True) 2025-08-26T20:32:49.7937387Z >>> start_event.record() 2025-08-26T20:32:49.7937821Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-08-26T20:32:49.7938294Z >>> sum = torch.sum(tensor) 2025-08-26T20:32:49.7938602Z >>> end_event.record() 2025-08-26T20:32:49.7938920Z >>> torch.accelerator.synchronize() 2025-08-26T20:32:49.7939312Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-08-26T20:32:49.7939684Z 2025-08-26T20:32:49.7940344Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n')) 2025-08-26T20:32:49.7941001Z 2025-08-26T20:32:49.7941277Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T20:32:49.7941754Z ^ 2025-08-26T20:32:49.8279510Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py line=434. 2025-08-26T20:32:49.8280386Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:49.8281172Z Retrieves the CUDA runtime API module. 2025-08-26T20:32:49.8281392Z 2025-08-26T20:32:49.8281396Z 2025-08-26T20:32:49.8281667Z This function initializes the CUDA runtime environment if it is not already 2025-08-26T20:32:49.8282279Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-08-26T20:32:49.8282845Z runtime API module provides access to various CUDA runtime functions. 2025-08-26T20:32:49.8283205Z 2025-08-26T20:32:49.8283291Z Args: 2025-08-26T20:32:49.8283505Z ``None`` 2025-08-26T20:32:49.8283642Z 2025-08-26T20:32:49.8283739Z Returns: 2025-08-26T20:32:49.8284019Z module: The CUDA runtime API module (_cudart). 2025-08-26T20:32:49.8284376Z 2025-08-26T20:32:49.8284465Z Raises: 2025-08-26T20:32:49.8284831Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-08-26T20:32:49.8285555Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-08-26T20:32:49.8286040Z 2025-08-26T20:32:49.8286188Z Example of CUDA operations with profiling: 2025-08-26T20:32:49.8286524Z >>> import torch 2025-08-26T20:32:49.8286834Z >>> from torch.cuda import cudart, check_error 2025-08-26T20:32:49.8287176Z >>> import os 2025-08-26T20:32:49.8287417Z >>> 2025-08-26T20:32:49.8287735Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-08-26T20:32:49.8288057Z >>> 2025-08-26T20:32:49.8288324Z >>> def perform_cuda_operations_with_streams(): 2025-08-26T20:32:49.8288708Z >>> stream = torch.cuda.Stream() 2025-08-26T20:32:49.8289044Z >>> with torch.cuda.stream(stream): 2025-08-26T20:32:49.8289417Z >>> x = torch.randn(100, 100, device='cuda') 2025-08-26T20:32:49.8289791Z >>> y = torch.randn(100, 100, device='cuda') 2025-08-26T20:32:49.8290136Z >>> z = torch.mul(x, y) 2025-08-26T20:32:49.8290431Z >>> return z 2025-08-26T20:32:49.8290676Z >>> 2025-08-26T20:32:49.8290913Z >>> torch.cuda.synchronize() 2025-08-26T20:32:49.8291257Z >>> print("====== Start nsys profiling ======") 2025-08-26T20:32:49.8291632Z >>> check_error(cudart().cudaProfilerStart()) 2025-08-26T20:32:49.8292024Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-08-26T20:32:49.8292432Z >>> result = perform_cuda_operations_with_streams() 2025-08-26T20:32:49.8292831Z >>> print("CUDA operations completed.") 2025-08-26T20:32:49.8293242Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-08-26T20:32:49.8293638Z >>> print("====== End nsys profiling ======") 2025-08-26T20:32:49.8293886Z 2025-08-26T20:32:49.8294088Z To run this example and save the profiling information, execute: 2025-08-26T20:32:49.8294775Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-26T20:32:49.8295257Z 2025-08-26T20:32:49.8295513Z This command profiles the CUDA operations in the provided script and saves 2025-08-26T20:32:49.8296079Z the profiling information to a file named `trace_name.prof`. 2025-08-26T20:32:49.8296611Z The `--profile-from-start off` option ensures that profiling starts only 2025-08-26T20:32:49.8297116Z after the `cudaProfilerStart` call in the script. 2025-08-26T20:32:49.8297604Z The `--csv` and `--print-summary` options format the profiling output as a 2025-08-26T20:32:49.8298089Z CSV file and print a summary, respectively. 2025-08-26T20:32:49.8298571Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-08-26T20:32:49.8299097Z overwrite of the output file if it already exists. 2025-08-26T20:32:49.8299460Z 2025-08-26T20:32:49.8300215Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n')) 2025-08-26T20:32:49.8301077Z 2025-08-26T20:32:49.8301437Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-26T20:32:49.8301983Z ^ 2025-08-26T20:32:51.2225843Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py line=39. 2025-08-26T20:32:51.2227522Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:51.2228214Z 2025-08-26T20:32:51.2228602Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-08-26T20:32:51.2229623Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-08-26T20:32:51.2230964Z pushes the map into PyTorch operations called by ``func``, effectively 2025-08-26T20:32:51.2231813Z vectorizing those operations. 2025-08-26T20:32:51.2232185Z 2025-08-26T20:32:51.2232582Z vmap is useful for handling batch dimensions: one can write a function 2025-08-26T20:32:51.2233598Z ``func`` that runs on examples and then lift it to a function that can 2025-08-26T20:32:51.2234572Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-08-26T20:32:51.2235493Z compute batched gradients when composed with autograd. 2025-08-26T20:32:51.2236033Z 2025-08-26T20:32:51.2236210Z .. note:: 2025-08-26T20:32:51.2236749Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-08-26T20:32:51.2237516Z convenience. Use whichever one you'd like. 2025-08-26T20:32:51.2237967Z 2025-08-26T20:32:51.2238106Z Args: 2025-08-26T20:32:51.2238677Z func (function): A Python function that takes one or more arguments. 2025-08-26T20:32:51.2239468Z Must return one or more Tensors. 2025-08-26T20:32:51.2240201Z in_dims (int or nested structure): Specifies which dimension of the 2025-08-26T20:32:51.2241095Z inputs should be mapped over. ``in_dims`` should have a 2025-08-26T20:32:51.2241987Z structure like the inputs. If the ``in_dim`` for a particular 2025-08-26T20:32:51.2242919Z input is None, then that indicates there is no map dimension. 2025-08-26T20:32:51.2243646Z Default: 0. 2025-08-26T20:32:51.2244243Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-08-26T20:32:51.2245186Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-08-26T20:32:51.2246041Z it should have one element per output. Default: 0. 2025-08-26T20:32:51.2246876Z randomness (str): Specifies whether the randomness in this 2025-08-26T20:32:51.2247919Z vmap should be the same or different across batches. If 'different', 2025-08-26T20:32:51.2248909Z the randomness for each batch will be different. If 'same', the 2025-08-26T20:32:51.2249925Z randomness will be the same across batches. If 'error', any calls to 2025-08-26T20:32:51.2250925Z random functions will error. Default: 'error'. WARNING: this flag 2025-08-26T20:32:51.2251921Z only applies to random PyTorch operations and does not apply to 2025-08-26T20:32:51.2252783Z Python's random module or numpy randomness. 2025-08-26T20:32:51.2253662Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-08-26T20:32:51.2254700Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-08-26T20:32:51.2255819Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-08-26T20:32:51.2257036Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-08-26T20:32:51.2257766Z 2025-08-26T20:32:51.2257925Z Returns: 2025-08-26T20:32:51.2258477Z Returns a new "batched" function. It takes the same inputs as 2025-08-26T20:32:51.2259377Z ``func``, except each input has an extra dimension at the index 2025-08-26T20:32:51.2260286Z specified by ``in_dims``. It takes returns the same outputs as 2025-08-26T20:32:51.2261192Z ``func``, except each output has an extra dimension at the index 2025-08-26T20:32:51.2262212Z specified by ``out_dims``. 2025-08-26T20:32:51.2262552Z 2025-08-26T20:32:51.2262700Z .. warning: 2025-08-26T20:32:51.2263281Z :func:`vmap` works best with functional-style code. Please do not 2025-08-26T20:32:51.2264210Z perform any side-effects in ``func``, with the exception of 2025-08-26T20:32:51.2265205Z in-place PyTorch operations. Examples of side-effects include mutating 2025-08-26T20:32:51.2266305Z Python data structures and assigning values to variables not captured 2025-08-26T20:32:51.2267094Z in ``func``. 2025-08-26T20:32:51.2267345Z 2025-08-26T20:32:51.2267778Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-08-26T20:32:51.2268951Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-08-26T20:32:51.2270006Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-08-26T20:32:51.2270649Z 2025-08-26T20:32:51.2270844Z >>> torch.dot # [D], [D] -> [] 2025-08-26T20:32:51.2271595Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-08-26T20:32:51.2272417Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-26T20:32:51.2272993Z >>> batched_dot(x, y) 2025-08-26T20:32:51.2273275Z 2025-08-26T20:32:51.2273688Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-08-26T20:32:51.2274462Z model authoring experience. 2025-08-26T20:32:51.2274767Z 2025-08-26T20:32:51.2274924Z >>> batch_size, feature_size = 3, 5 2025-08-26T20:32:51.2275536Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-26T20:32:51.2276116Z >>> 2025-08-26T20:32:51.2276463Z >>> def model(feature_vec): 2025-08-26T20:32:51.2277025Z >>> # Very simple linear model with activation 2025-08-26T20:32:51.2277706Z >>> return feature_vec.dot(weights).relu() 2025-08-26T20:32:51.2278296Z >>> 2025-08-26T20:32:51.2278753Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-26T20:32:51.2279450Z >>> result = torch.vmap(model)(examples) 2025-08-26T20:32:51.2279898Z 2025-08-26T20:32:51.2280363Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-08-26T20:32:51.2281483Z or impossible to batch. One example is higher-order gradient computation. 2025-08-26T20:32:51.2282565Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-08-26T20:32:51.2283658Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-08-26T20:32:51.2284785Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-08-26T20:32:51.2285927Z we can vectorize the whole computation, computing the Jacobian in a single 2025-08-26T20:32:51.2286787Z call to ``autograd.grad``. 2025-08-26T20:32:51.2287106Z 2025-08-26T20:32:51.2287272Z >>> # Setup 2025-08-26T20:32:51.2287780Z >>> N = 5 2025-08-26T20:32:51.2288207Z >>> f = lambda x: x**2 2025-08-26T20:32:51.2288747Z >>> x = torch.randn(N, requires_grad=True) 2025-08-26T20:32:51.2289331Z >>> y = f(x) 2025-08-26T20:32:51.2289757Z >>> I_N = torch.eye(N) 2025-08-26T20:32:51.2290224Z >>> 2025-08-26T20:32:51.2290609Z >>> # Sequential approach 2025-08-26T20:32:51.2291265Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-08-26T20:32:51.2291936Z >>> for v in I_N.unbind()] 2025-08-26T20:32:51.2292510Z >>> jacobian = torch.stack(jacobian_rows) 2025-08-26T20:32:51.2293015Z >>> 2025-08-26T20:32:51.2293349Z >>> # vectorized gradient computation 2025-08-26T20:32:51.2293947Z >>> def get_vjp(v): 2025-08-26T20:32:51.2294452Z >>> return torch.autograd.grad(y, x, v) 2025-08-26T20:32:51.2295089Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-08-26T20:32:51.2295494Z 2025-08-26T20:32:51.2296004Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-08-26T20:32:51.2296764Z 2025-08-26T20:32:51.2296954Z >>> torch.dot # [D], [D] -> [] 2025-08-26T20:32:51.2297506Z >>> batched_dot = torch.vmap( 2025-08-26T20:32:51.2298194Z ... torch.vmap(torch.dot) 2025-08-26T20:32:51.2298714Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-08-26T20:32:51.2299321Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-08-26T20:32:51.2299896Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-08-26T20:32:51.2300226Z 2025-08-26T20:32:51.2300482Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-08-26T20:32:51.2300988Z the dimension that each inputs are batched along as 2025-08-26T20:32:51.2301262Z 2025-08-26T20:32:51.2301367Z >>> torch.dot # [N], [N] -> [] 2025-08-26T20:32:51.2301797Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-08-26T20:32:51.2302375Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-26T20:32:51.2302699Z >>> batched_dot( 2025-08-26T20:32:51.2302943Z ... x, y 2025-08-26T20:32:51.2303275Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-08-26T20:32:51.2303587Z 2025-08-26T20:32:51.2303858Z If there are multiple inputs each of which is batched along different dimensions, 2025-08-26T20:32:51.2304443Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-08-26T20:32:51.2304754Z 2025-08-26T20:32:51.2304856Z >>> torch.dot # [D], [D] -> [] 2025-08-26T20:32:51.2305296Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-08-26T20:32:51.2305774Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-26T20:32:51.2306103Z >>> batched_dot( 2025-08-26T20:32:51.2306330Z ... x, y 2025-08-26T20:32:51.2306660Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-08-26T20:32:51.2306982Z 2025-08-26T20:32:51.2307217Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-08-26T20:32:51.2307821Z matching the shape of the input: 2025-08-26T20:32:51.2308152Z 2025-08-26T20:32:51.2308403Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-08-26T20:32:51.2309041Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-26T20:32:51.2309584Z >>> input = {"x": x, "y": y} 2025-08-26T20:32:51.2310438Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-08-26T20:32:51.2311133Z >>> batched_dot(input) 2025-08-26T20:32:51.2311428Z 2025-08-26T20:32:51.2311883Z By default, the output is batched along the first dimension. However, it can be batched 2025-08-26T20:32:51.2312801Z along any dimension by using ``out_dims`` 2025-08-26T20:32:51.2313213Z 2025-08-26T20:32:51.2313371Z >>> f = lambda x: x**2 2025-08-26T20:32:51.2313838Z >>> x = torch.randn(2, 5) 2025-08-26T20:32:51.2314301Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-08-26T20:32:51.2314906Z >>> batched_pow(x) # [5, 2] 2025-08-26T20:32:51.2315243Z 2025-08-26T20:32:51.2315763Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-08-26T20:32:51.2316669Z accept kwargs 2025-08-26T20:32:51.2316906Z 2025-08-26T20:32:51.2317085Z >>> x = torch.randn([2, 5]) 2025-08-26T20:32:51.2317563Z >>> def fn(x, scale=4.): 2025-08-26T20:32:51.2318039Z >>> return x * scale 2025-08-26T20:32:51.2318473Z >>> 2025-08-26T20:32:51.2318853Z >>> batched_pow = torch.vmap(fn) 2025-08-26T20:32:51.2319415Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-08-26T20:32:51.2320239Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-08-26T20:32:51.2320862Z 2025-08-26T20:32:51.2321068Z .. note:: 2025-08-26T20:32:51.2321673Z vmap does not provide general autobatching or handle variable-length 2025-08-26T20:32:51.2322474Z sequences out of the box. 2025-08-26T20:32:51.2322826Z 2025-08-26T20:32:51.2323500Z Original Error: IndentationError('expected an indented block', ('', 5, 1, '_._ = None\n')) 2025-08-26T20:32:51.2324393Z 2025-08-26T20:32:51.2324538Z _._ = None 2025-08-26T20:32:51.2324886Z ^ 2025-08-26T20:32:51.2326332Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py line=306. 2025-08-26T20:32:51.2327973Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:51.2329049Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-08-26T20:32:51.2330087Z input(s) specified by ``argnums``. This operator can be nested to 2025-08-26T20:32:51.2330872Z compute higher-order gradients. 2025-08-26T20:32:51.2331241Z 2025-08-26T20:32:51.2331400Z Args: 2025-08-26T20:32:51.2331953Z func (Callable): A Python function that takes one or more arguments. 2025-08-26T20:32:51.2333047Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-08-26T20:32:51.2334471Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-08-26T20:32:51.2335370Z ``(output, aux)``. 2025-08-26T20:32:51.2336186Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-08-26T20:32:51.2337207Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-08-26T20:32:51.2338101Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-08-26T20:32:51.2338946Z auxiliary objects: ``(output, aux)``. Default: False. 2025-08-26T20:32:51.2339318Z 2025-08-26T20:32:51.2339480Z Returns: 2025-08-26T20:32:51.2340224Z Function to compute gradients with respect to its inputs. By default, the output of 2025-08-26T20:32:51.2341290Z the function is the gradient tensor(s) with respect to the first argument. 2025-08-26T20:32:51.2342386Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-08-26T20:32:51.2343504Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-08-26T20:32:51.2344373Z respect to each ``argnums`` value is returned. 2025-08-26T20:32:51.2344854Z 2025-08-26T20:32:51.2345026Z Example of using ``grad``: 2025-08-26T20:32:51.2345353Z 2025-08-26T20:32:51.2345521Z >>> # xdoctest: +SKIP 2025-08-26T20:32:51.2346019Z >>> from torch.func import grad 2025-08-26T20:32:51.2346565Z >>> x = torch.randn([]) 2025-08-26T20:32:51.2347093Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-08-26T20:32:51.2347705Z >>> assert torch.allclose(cos_x, x.cos()) 2025-08-26T20:32:51.2348250Z >>> 2025-08-26T20:32:51.2348619Z >>> # Second-order gradients 2025-08-26T20:32:51.2349238Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-08-26T20:32:51.2349915Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-08-26T20:32:51.2350377Z 2025-08-26T20:32:51.2350825Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-08-26T20:32:51.2351540Z 2025-08-26T20:32:51.2351709Z >>> # xdoctest: +SKIP 2025-08-26T20:32:51.2352297Z >>> from torch.func import grad, vmap 2025-08-26T20:32:51.2352862Z >>> batch_size, feature_size = 3, 5 2025-08-26T20:32:51.2353380Z >>> 2025-08-26T20:32:51.2353782Z >>> def model(weights, feature_vec): 2025-08-26T20:32:51.2354549Z >>> # Very simple linear model with activation 2025-08-26T20:32:51.2355404Z >>> assert feature_vec.dim() == 1 2025-08-26T20:32:51.2356243Z >>> return feature_vec.dot(weights).relu() 2025-08-26T20:32:51.2357024Z >>> 2025-08-26T20:32:51.2357621Z >>> def compute_loss(weights, example, target): 2025-08-26T20:32:51.2358447Z >>> y = model(weights, example) 2025-08-26T20:32:51.2359287Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-08-26T20:32:51.2360112Z >>> 2025-08-26T20:32:51.2360795Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-26T20:32:51.2361802Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-26T20:32:51.2362910Z >>> targets = torch.randn(batch_size) 2025-08-26T20:32:51.2363752Z >>> inputs = (weights, examples, targets) 2025-08-26T20:32:51.2364897Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-08-26T20:32:51.2365975Z ... *inputs 2025-08-26T20:32:51.2366514Z ... ) 2025-08-26T20:32:51.2366828Z 2025-08-26T20:32:51.2367246Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-08-26T20:32:51.2368078Z 2025-08-26T20:32:51.2368314Z >>> # xdoctest: +SKIP 2025-08-26T20:32:51.2369001Z >>> from torch.func import grad 2025-08-26T20:32:51.2369759Z >>> def my_loss_func(y, y_pred): 2025-08-26T20:32:51.2370567Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-08-26T20:32:51.2371524Z >>> loss = loss_per_sample.mean() 2025-08-26T20:32:51.2372369Z >>> return loss, (y_pred, loss_per_sample) 2025-08-26T20:32:51.2373127Z >>> 2025-08-26T20:32:51.2373732Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-08-26T20:32:51.2374606Z >>> y_true = torch.rand(4) 2025-08-26T20:32:51.2375373Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-08-26T20:32:51.2376180Z >>> out = fn(y_true, y_preds) 2025-08-26T20:32:51.2377269Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-08-26T20:32:51.2378142Z 2025-08-26T20:32:51.2378369Z .. note:: 2025-08-26T20:32:51.2379056Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-08-26T20:32:51.2379731Z 2025-08-26T20:32:51.2380088Z Case 1: Using ``torch.no_grad`` inside a function: 2025-08-26T20:32:51.2380696Z 2025-08-26T20:32:51.2380928Z >>> # xdoctest: +SKIP 2025-08-26T20:32:51.2381608Z >>> def f(x): 2025-08-26T20:32:51.2382240Z >>> with torch.no_grad(): 2025-08-26T20:32:51.2382950Z >>> c = x ** 2 2025-08-26T20:32:51.2383596Z >>> return x - c 2025-08-26T20:32:51.2384069Z 2025-08-26T20:32:51.2384512Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-08-26T20:32:51.2385300Z 2025-08-26T20:32:51.2385702Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-08-26T20:32:51.2386414Z 2025-08-26T20:32:51.2386653Z >>> # xdoctest: +SKIP 2025-08-26T20:32:51.2387364Z >>> with torch.no_grad(): 2025-08-26T20:32:51.2388046Z >>> grad(f)(x) 2025-08-26T20:32:51.2388462Z 2025-08-26T20:32:51.2388975Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-08-26T20:32:51.2390347Z outer one. This is because ``grad`` is a "function transform": its result 2025-08-26T20:32:51.2391700Z should not depend on the result of a context manager outside of ``f``. 2025-08-26T20:32:51.2392520Z 2025-08-26T20:32:51.2392731Z 2025-08-26T20:32:51.2393826Z Original Error: IndentationError('expected an indented block', ('', 6, 1, '_._ = None\n')) 2025-08-26T20:32:51.2395028Z 2025-08-26T20:32:51.2395225Z _._ = None 2025-08-26T20:32:51.2395701Z ^ 2025-08-26T20:32:54.2532254Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/custom_ops.py line=397. 2025-08-26T20:32:54.2534144Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:54.2535152Z Register a FakeTensor implementation for this custom op. 2025-08-26T20:32:54.2535698Z 2025-08-26T20:32:54.2536192Z This is necessary to get the operator to work efficiently with torch.compile. 2025-08-26T20:32:54.2536898Z 2025-08-26T20:32:54.2537305Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-08-26T20:32:54.2538382Z specifies the behavior of this operator on Tensors that carry no data. 2025-08-26T20:32:54.2539226Z Given some input Tensors with certain properties 2025-08-26T20:32:54.2540142Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-08-26T20:32:54.2541422Z the output Tensors are. 2025-08-26T20:32:54.2541785Z 2025-08-26T20:32:54.2542155Z Please see :func:`torch.library.register_fake` for more details. 2025-08-26T20:32:54.2542774Z 2025-08-26T20:32:54.2542917Z Args: 2025-08-26T20:32:54.2543454Z fn (Callable): The function to register as the FakeTensor 2025-08-26T20:32:54.2544165Z implementation. 2025-08-26T20:32:54.2544498Z 2025-08-26T20:32:54.2544648Z Examples: 2025-08-26T20:32:54.2545063Z >>> import torch 2025-08-26T20:32:54.2545560Z >>> import numpy as np 2025-08-26T20:32:54.2546118Z >>> from torch import Tensor 2025-08-26T20:32:54.2546646Z >>> 2025-08-26T20:32:54.2547392Z >>> # Example 1: an operator without data-dependent output shape 2025-08-26T20:32:54.2548535Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-08-26T20:32:54.2549493Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-26T20:32:54.2550275Z >>> return (x @ weight.t()) + bias 2025-08-26T20:32:54.2550846Z >>> 2025-08-26T20:32:54.2551268Z >>> @linear.register_fake 2025-08-26T20:32:54.2551830Z >>> def _(x, weight, bias): 2025-08-26T20:32:54.2552386Z >>> assert x.dim() == 2 2025-08-26T20:32:54.2552961Z >>> assert weight.dim() == 2 2025-08-26T20:32:54.2553548Z >>> assert bias.dim() == 1 2025-08-26T20:32:54.2554167Z >>> assert x.shape[1] == weight.shape[1] 2025-08-26T20:32:54.2554839Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-26T20:32:54.2555518Z >>> assert x.device == weight.device 2025-08-26T20:32:54.2556217Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-08-26T20:32:54.2556849Z >>> 2025-08-26T20:32:54.2557266Z >>> x = torch.randn(2, 2) 2025-08-26T20:32:54.2557836Z >>> weight = torch.randn(2, 2) 2025-08-26T20:32:54.2558432Z >>> bias = torch.randn(2) 2025-08-26T20:32:54.2559050Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T20:32:54.2559871Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-08-26T20:32:54.2560683Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T20:32:54.2561609Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-08-26T20:32:54.2562447Z >>> 2025-08-26T20:32:54.2563008Z >>> # Example 2: an operator with data-dependent output shape 2025-08-26T20:32:54.2563923Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-08-26T20:32:54.2564717Z >>> def nonzero(x: Tensor) -> Tensor: 2025-08-26T20:32:54.2565309Z >>> x_np = x.cpu().numpy() 2025-08-26T20:32:54.2565932Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-26T20:32:54.2566653Z >>> return torch.tensor(res, device=x.device) 2025-08-26T20:32:54.2567265Z >>> 2025-08-26T20:32:54.2567795Z >>> @nonzero.register_fake 2025-08-26T20:32:54.2568352Z >>> def _(x): 2025-08-26T20:32:54.2568902Z >>> # Number of nonzero-elements is data-dependent. 2025-08-26T20:32:54.2569699Z >>> # Since we cannot peek at the data in an abstract impl, 2025-08-26T20:32:54.2570516Z >>> # we use the ctx object to construct a new symint that 2025-08-26T20:32:54.2571265Z >>> # represents the data-dependent size. 2025-08-26T20:32:54.2571910Z >>> ctx = torch.library.get_ctx() 2025-08-26T20:32:54.2572561Z >>> nnz = ctx.new_dynamic_size() 2025-08-26T20:32:54.2573175Z >>> shape = [nnz, x.dim()] 2025-08-26T20:32:54.2573844Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-26T20:32:54.2574500Z >>> return result 2025-08-26T20:32:54.2575218Z >>> 2025-08-26T20:32:54.2575666Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-08-26T20:32:54.2576345Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T20:32:54.2577072Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-08-26T20:32:54.2577813Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T20:32:54.2578517Z >>> assert torch.allclose(out, x.nonzero()) 2025-08-26T20:32:54.2578974Z 2025-08-26T20:32:54.2579135Z 2025-08-26T20:32:54.2580031Z Original Error: IndentationError('expected an indented block', ('', 37, 1, '_._ = None\n')) 2025-08-26T20:32:54.2580947Z 2025-08-26T20:32:54.2581089Z _._ = None 2025-08-26T20:32:54.2581556Z ^ 2025-08-26T20:32:54.2804083Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/fake_profile.py line=94. 2025-08-26T20:32:54.2805549Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T20:32:54.2805937Z 2025-08-26T20:32:54.2806186Z Registers a fake kernel based on the given operator profiles. This fake 2025-08-26T20:32:54.2806813Z kernel registration will override any existing fake kernel registrations. 2025-08-26T20:32:54.2807173Z 2025-08-26T20:32:54.2807381Z The input is a dictionary mapping operator names to a set of operator 2025-08-26T20:32:54.2808053Z profiles, which we will use to generate fake kernels. The operator profiles 2025-08-26T20:32:54.2808605Z are a record of the input and output tensor metadata. Based on this 2025-08-26T20:32:54.2809168Z information we will match a given input to the recorded profile, and return 2025-08-26T20:32:54.2809769Z an output with the same metadata as in the recorded profile. If a profile 2025-08-26T20:32:54.2810493Z doesn't exist then an exception will be thrown. 2025-08-26T20:32:54.2810754Z 2025-08-26T20:32:54.2810980Z The fake kernel generation is considered unsafe because it relies on the 2025-08-26T20:32:54.2811653Z rigid, pre-defined operator profiles that do not account for potential 2025-08-26T20:32:54.2812658Z variations in output behavior. Specifically, the generated kernels assume a 2025-08-26T20:32:54.2813710Z fixed relationship between input and output ranks. However, in reality, it's 2025-08-26T20:32:54.2814796Z possible that data-dependent operations may produce outputs of different 2025-08-26T20:32:54.2815850Z ranks even when given inputs of the same rank. The generated fake kernels 2025-08-26T20:32:54.2816862Z are inflexible and unable to accommodate these nuances, making them 2025-08-26T20:32:54.2817587Z potentially unsafe. 2025-08-26T20:32:54.2817868Z 2025-08-26T20:32:54.2818012Z Args: 2025-08-26T20:32:54.2818625Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-08-26T20:32:54.2819605Z name to a set of operator profiles from which we will generate fake 2025-08-26T20:32:54.2820340Z kernels. 2025-08-26T20:32:54.2820588Z 2025-08-26T20:32:54.2820735Z Examples: 2025-08-26T20:32:54.2820969Z 2025-08-26T20:32:54.2821258Z >>> # Example: Registering an op-profile from draft-export 2025-08-26T20:32:54.2821920Z >>> import torch 2025-08-26T20:32:54.2822461Z >>> from torch.export._draft_export import draft_export 2025-08-26T20:32:54.2823074Z >>> 2025-08-26T20:32:54.2823631Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-08-26T20:32:54.2824337Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-08-26T20:32:54.2824938Z >>> return x + y 2025-08-26T20:32:54.2825355Z >>> 2025-08-26T20:32:54.2825741Z >>> class M(torch.nn.Module): 2025-08-26T20:32:54.2826279Z >>> def forward(self, a, b): 2025-08-26T20:32:54.2826917Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-08-26T20:32:54.2827548Z >>> return res 2025-08-26T20:32:54.2827987Z >>> 2025-08-26T20:32:54.2828485Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-08-26T20:32:54.2829450Z >>> 2025-08-26T20:32:54.2830095Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-08-26T20:32:54.2831018Z >>> decomp = ep.run_decompositions() 2025-08-26T20:32:54.2831430Z 2025-08-26T20:32:54.2831437Z 2025-08-26T20:32:54.2832277Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-08-26T20:32:54.2833377Z 2025-08-26T20:32:54.9356511Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-08-26T20:32:54.9359162Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:54.9359863Z 2025-08-26T20:32:54.9360372Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-08-26T20:32:54.9361506Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-08-26T20:32:54.9362692Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-08-26T20:32:54.9363547Z input by the user. 2025-08-26T20:32:54.9364219Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-08-26T20:32:54.9365136Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-08-26T20:32:54.9365620Z 2025-08-26T20:32:54.9365791Z Note:: 2025-08-26T20:32:54.9366484Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-08-26T20:32:54.9367302Z 2025-08-26T20:32:54.9367429Z Args: 2025-08-26T20:32:54.9367853Z model (nn.Module): 2025-08-26T20:32:54.9368379Z The model whose layers will be sparsified. The layers that needs to be 2025-08-26T20:32:54.9368959Z sparsified should be added separately using the register_layer() function 2025-08-26T20:32:54.9369441Z aggregate_fn (Optional, Callable): 2025-08-26T20:32:54.9369920Z default aggregate_fn that is used if not specified while registering the layer. 2025-08-26T20:32:54.9370480Z specifies how inputs should be aggregated over time. 2025-08-26T20:32:54.9371048Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-08-26T20:32:54.9371527Z Example 2025-08-26T20:32:54.9371837Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-08-26T20:32:54.9372247Z reduce_fn (Optional, Callable): 2025-08-26T20:32:54.9372716Z default reduce_fn that is used if not specified while registering the layer. 2025-08-26T20:32:54.9373323Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-08-26T20:32:54.9374085Z calling agg_fn() on all inputs. 2025-08-26T20:32:54.9374605Z Example 2025-08-26T20:32:54.9375196Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-08-26T20:32:54.9375956Z mask_fn (Optional, Callable): 2025-08-26T20:32:54.9376876Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-08-26T20:32:54.9378117Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-08-26T20:32:54.9378972Z register_layer(). 2025-08-26T20:32:54.9379916Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-08-26T20:32:54.9380916Z arguments. 2025-08-26T20:32:54.9381370Z features (Optional, list): 2025-08-26T20:32:54.9381960Z default selected features to sparsify. 2025-08-26T20:32:54.9382889Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-08-26T20:32:54.9383758Z For example, 2025-08-26T20:32:54.9384478Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-08-26T20:32:54.9385584Z feature_dim (Optional, int): 2025-08-26T20:32:54.9386408Z default dimension of input features. Again, features along this dim will be chosen 2025-08-26T20:32:54.9387260Z for sparsification. 2025-08-26T20:32:54.9387780Z sparse_config (Dict): 2025-08-26T20:32:54.9388568Z Default configuration for the mask_fn. This config will be passed 2025-08-26T20:32:54.9389308Z with the mask_fn() 2025-08-26T20:32:54.9389666Z 2025-08-26T20:32:54.9389825Z Example: 2025-08-26T20:32:54.9390183Z >>> # xdoctest: +SKIP 2025-08-26T20:32:54.9390642Z >>> model = SomeModel() 2025-08-26T20:32:54.9391583Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-08-26T20:32:54.9392444Z >>> # Initialize aggregate_fn 2025-08-26T20:32:54.9392965Z >>> def agg_fn(x, y): 2025-08-26T20:32:54.9393428Z >>> return x + y 2025-08-26T20:32:54.9393864Z >>> 2025-08-26T20:32:54.9394233Z >>> # Initialize reduce_fn 2025-08-26T20:32:54.9394629Z >>> def reduce_fn(x): 2025-08-26T20:32:54.9395096Z >>> return torch.mean(x, dim=0) 2025-08-26T20:32:54.9395627Z >>> 2025-08-26T20:32:54.9395969Z >>> # Initialize mask_fn 2025-08-26T20:32:54.9396358Z >>> def mask_fn(data): 2025-08-26T20:32:54.9396892Z >>> return torch.eye(data.shape).to(data.device) 2025-08-26T20:32:54.9397508Z >>> 2025-08-26T20:32:54.9397862Z >>> 2025-08-26T20:32:54.9398255Z >>> act_sparsifier.register_layer( 2025-08-26T20:32:54.9398829Z ... model.some_layer, 2025-08-26T20:32:54.9399344Z ... aggregate_fn=agg_fn, 2025-08-26T20:32:54.9399874Z ... reduce_fn=reduce_fn, 2025-08-26T20:32:54.9400374Z ... mask_fn=mask_fn, 2025-08-26T20:32:54.9400858Z ... ) 2025-08-26T20:32:54.9401221Z >>> 2025-08-26T20:32:54.9401602Z >>> # start training process 2025-08-26T20:32:54.9402071Z >>> for _ in [...]: 2025-08-26T20:32:54.9402515Z >>> # epoch starts 2025-08-26T20:32:54.9403105Z >>> # model.forward(), compute_loss() and model.backwards() 2025-08-26T20:32:54.9403804Z >>> # epoch ends 2025-08-26T20:32:54.9404236Z >>> act_sparsifier.step() 2025-08-26T20:32:54.9404771Z >>> # end training process 2025-08-26T20:32:54.9405294Z >>> sparsifier.squash_mask() 2025-08-26T20:32:54.9405653Z 2025-08-26T20:32:54.9406291Z Original Error: IndentationError('expected an indented block', ('', 26, 1, '_._ = None\n')) 2025-08-26T20:32:54.9407113Z 2025-08-26T20:32:54.9407248Z _._ = None 2025-08-26T20:32:54.9407563Z ^ 2025-08-26T20:32:55.7343478Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/device_mesh.py line=721. 2025-08-26T20:32:55.7345411Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:55.7346122Z 2025-08-26T20:32:55.7346639Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-08-26T20:32:55.7347888Z The submesh created consists of the dimensions and the communicators indicated by 2025-08-26T20:32:55.7348786Z ``mesh_dim_names`` 2025-08-26T20:32:55.7349059Z 2025-08-26T20:32:55.7349197Z Args: 2025-08-26T20:32:55.7349833Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-08-26T20:32:55.7350779Z mesh dimension of the DeviceMesh to create the submesh for. 2025-08-26T20:32:55.7351461Z Returns: 2025-08-26T20:32:55.7351805Z A :class:`DeviceMesh` object 2025-08-26T20:32:55.7352138Z 2025-08-26T20:32:55.7352630Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-08-26T20:32:55.7353565Z In the first example: 2025-08-26T20:32:55.7354330Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-08-26T20:32:55.7355462Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-08-26T20:32:55.7356967Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-08-26T20:32:55.7358007Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-08-26T20:32:55.7358991Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-08-26T20:32:55.7359984Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-08-26T20:32:55.7360635Z 2025-08-26T20:32:55.7360803Z In the second example: 2025-08-26T20:32:55.7361591Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-08-26T20:32:55.7362765Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-08-26T20:32:55.7364210Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-08-26T20:32:55.7365442Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-08-26T20:32:55.7366200Z 2025-08-26T20:32:55.7366389Z Example:: 2025-08-26T20:32:55.7366620Z 2025-08-26T20:32:55.7366804Z >>> # xdoctest: +SKIP("no rank") 2025-08-26T20:32:55.7367489Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-08-26T20:32:55.7368271Z >>> 2025-08-26T20:32:55.7368834Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-08-26T20:32:55.7369654Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-08-26T20:32:55.7370523Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-26T20:32:55.7371341Z >>> tp_mesh = mesh_2d["tp"] 2025-08-26T20:32:55.7371839Z >>> dp_mesh = mesh_2d["dp"] 2025-08-26T20:32:55.7372319Z >>> 2025-08-26T20:32:55.7372707Z >>> # Initialize a 3D mesh. 2025-08-26T20:32:55.7373567Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-08-26T20:32:55.7374896Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-08-26T20:32:55.7375924Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-08-26T20:32:55.7376520Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-08-26T20:32:55.7376903Z 2025-08-26T20:32:55.7378083Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n')) 2025-08-26T20:32:55.7379539Z 2025-08-26T20:32:55.7380000Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-26T20:32:55.7380913Z ^ 2025-08-26T20:32:56.1560020Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-08-26T20:32:56.1561956Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:56.1562692Z 2025-08-26T20:32:56.1563249Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-08-26T20:32:56.1564069Z 2025-08-26T20:32:56.1564635Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-08-26T20:32:56.1565429Z 2025-08-26T20:32:56.1565971Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-26T20:32:56.1566953Z will be visible to the whole process. 2025-08-26T20:32:56.1567362Z 2025-08-26T20:32:56.1567967Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-08-26T20:32:56.1568757Z 2025-08-26T20:32:56.1568944Z 1) set_up_planner - called on all ranks. 2025-08-26T20:32:56.1569545Z Signals the start of a checkpoint save. 2025-08-26T20:32:56.1569961Z 2025-08-26T20:32:56.1570189Z 2) create_local_plan - called on all ranks. 2025-08-26T20:32:56.1571140Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-08-26T20:32:56.1572337Z 2025-08-26T20:32:56.1572670Z 3) create_global_plan - called on the coordinator rank only. 2025-08-26T20:32:56.1573600Z Takes the SavePlan from all ranks and make any global decision. 2025-08-26T20:32:56.1574191Z 2025-08-26T20:32:56.1574407Z 4) finish_plan - called on all ranks. 2025-08-26T20:32:56.1575207Z This gives each rank a chance to adjust to global planning decisions. 2025-08-26T20:32:56.1575840Z 2025-08-26T20:32:56.1576119Z 5) resolve_data - called multiple times on each rank 2025-08-26T20:32:56.1576988Z Lookups a value on the `state_dict` for the storage layer to write. 2025-08-26T20:32:56.1577601Z 2025-08-26T20:32:56.1578164Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-08-26T20:32:56.1579455Z most changes can be expressed by changes in a single method. 2025-08-26T20:32:56.1580020Z 2025-08-26T20:32:56.1580244Z There are 3 usual patterns of extension: 2025-08-26T20:32:56.1580662Z 2025-08-26T20:32:56.1581141Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-08-26T20:32:56.1582266Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-08-26T20:32:56.1582923Z 2025-08-26T20:32:56.1583116Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T20:32:56.1583756Z >>> class RenamePlanner(DefaultSavePlanner): 2025-08-26T20:32:56.1584371Z >>> def set_up_planner( 2025-08-26T20:32:56.1584820Z >>> self, 2025-08-26T20:32:56.1585257Z >>> state_dict: STATE_DICT_TYPE, 2025-08-26T20:32:56.1585872Z >>> storage_meta: Optional[StorageMeta], 2025-08-26T20:32:56.1586488Z >>> is_coordinator: bool, 2025-08-26T20:32:56.1586971Z >>> ) -> None: 2025-08-26T20:32:56.1587408Z >>> # prefix all keys with `foo_`` 2025-08-26T20:32:56.1588326Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-08-26T20:32:56.1589094Z 2025-08-26T20:32:56.1589738Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-08-26T20:32:56.1590616Z 2025-08-26T20:32:56.1590810Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T20:32:56.1591441Z >>> class FP16Planner(DefaultSavePlanner): 2025-08-26T20:32:56.1592061Z >>> def create_local_plan(self): 2025-08-26T20:32:56.1592650Z >>> plan = super().create_local_plan() 2025-08-26T20:32:56.1593228Z >>> for p in plan: 2025-08-26T20:32:56.1593735Z >>> if p.tensor_data is not None: 2025-08-26T20:32:56.1594420Z >>> p.tensor_data.properties.dtype = torch.float16 2025-08-26T20:32:56.1595093Z >>> return plan 2025-08-26T20:32:56.1595505Z >>> 2025-08-26T20:32:56.1595902Z >>> def resolve_data(self, write_item): 2025-08-26T20:32:56.1596551Z >>> item = super().resolve_data(write_item) 2025-08-26T20:32:56.1597512Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-08-26T20:32:56.1598244Z 2025-08-26T20:32:56.1598805Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-08-26T20:32:56.1599583Z 2025-08-26T20:32:56.1599770Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T20:32:56.1600359Z >>> from itertools import zip_longest 2025-08-26T20:32:56.1600880Z >>> from dataclasses import replace 2025-08-26T20:32:56.1601446Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-08-26T20:32:56.1602301Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-08-26T20:32:56.1603127Z >>> # This sample doesn't handle ShardedTensors 2025-08-26T20:32:56.1603760Z >>> def create_global_plan(self, all_plans): 2025-08-26T20:32:56.1604445Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-08-26T20:32:56.1605111Z >>> items_per_rank = [ 2025-08-26T20:32:56.1605669Z >>> [item for item in items if item is not None] 2025-08-26T20:32:56.1606404Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-08-26T20:32:56.1607288Z >>> ] 2025-08-26T20:32:56.1607784Z >>> all_plans = [ 2025-08-26T20:32:56.1608256Z >>> replace(plan, items=items) 2025-08-26T20:32:56.1608999Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-08-26T20:32:56.1609729Z >>> ] 2025-08-26T20:32:56.1610435Z >>> return super().create_global_plan(all_plans) 2025-08-26T20:32:56.1610910Z 2025-08-26T20:32:56.1611393Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-08-26T20:32:56.1612437Z accomplished by having each rank contribute their data items in the local plan and 2025-08-26T20:32:56.1613239Z the global planner aggregate them: 2025-08-26T20:32:56.1613589Z 2025-08-26T20:32:56.1614010Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T20:32:56.1614578Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-08-26T20:32:56.1615033Z >>> def create_local_plan(self) -> SavePlan: 2025-08-26T20:32:56.1615410Z >>> plan = super().create_local_plan() 2025-08-26T20:32:56.1615802Z >>> return replace(plan, planner_data="per-rank-data") 2025-08-26T20:32:56.1616165Z >>> 2025-08-26T20:32:56.1616567Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-08-26T20:32:56.1617189Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-08-26T20:32:56.1617676Z >>> merged_data = [p.planner_data for p in global_plan] 2025-08-26T20:32:56.1618131Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-08-26T20:32:56.1618519Z >>> return global_plan, metadata 2025-08-26T20:32:56.1618745Z 2025-08-26T20:32:56.1619103Z Original Error: IndentationError('expected an indented block', ('', 9, 0, '_._ = None\n')) 2025-08-26T20:32:56.1619582Z 2025-08-26T20:32:56.1619667Z _._ = None 2025-08-26T20:32:56.1629993Z ^ 2025-08-26T20:32:56.1631321Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-08-26T20:32:56.1633093Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:56.1633765Z 2025-08-26T20:32:56.1634282Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-08-26T20:32:56.1635059Z 2025-08-26T20:32:56.1635574Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-08-26T20:32:56.1636335Z 2025-08-26T20:32:56.1636839Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-26T20:32:56.1637736Z will be visible to the whole process. 2025-08-26T20:32:56.1638130Z 2025-08-26T20:32:56.1638667Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-08-26T20:32:56.1639395Z 2025-08-26T20:32:56.1639609Z 1) set_up_planner - called on all ranks. 2025-08-26T20:32:56.1640195Z Signals the start of loading a checkpoint. 2025-08-26T20:32:56.1640663Z 2025-08-26T20:32:56.1640878Z 2) create_local_plan - called on all ranks. 2025-08-26T20:32:56.1641809Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-08-26T20:32:56.1642546Z 2025-08-26T20:32:56.1642889Z 3) create_global_plan - called on the coordinator rank only. 2025-08-26T20:32:56.1643669Z Takes the LoadPlan from all ranks and make any global decision. 2025-08-26T20:32:56.1644150Z 2025-08-26T20:32:56.1644376Z 4) load_bytes - called multiple times on each rank 2025-08-26T20:32:56.1645051Z This is called once per non-tensor value in state_dict. 2025-08-26T20:32:56.1645511Z 2025-08-26T20:32:56.1645887Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-08-26T20:32:56.1646736Z They are called in pair for each Tensor value in state_dict. 2025-08-26T20:32:56.1647305Z 2025-08-26T20:32:56.1647917Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-08-26T20:32:56.1649232Z most changes can be expressed by changes in a single method. 2025-08-26T20:32:56.1649781Z 2025-08-26T20:32:56.1650014Z There are two usual patterns of extension: 2025-08-26T20:32:56.1650413Z 2025-08-26T20:32:56.1650854Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-08-26T20:32:56.1651986Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-08-26T20:32:56.1653029Z to keep a reference to the original state_dict as load happens in place so 2025-08-26T20:32:56.1653852Z we need to be able to perform it in place 2025-08-26T20:32:56.1654266Z 2025-08-26T20:32:56.1654465Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T20:32:56.1655050Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-08-26T20:32:56.1655684Z >>> def set_up_planner( 2025-08-26T20:32:56.1656149Z >>> self, 2025-08-26T20:32:56.1656587Z >>> state_dict: STATE_DICT_TYPE, 2025-08-26T20:32:56.1657106Z >>> metadata: Metadata, 2025-08-26T20:32:56.1657520Z >>> is_coordinator: bool, 2025-08-26T20:32:56.1658005Z >>> ) -> None: 2025-08-26T20:32:56.1658459Z >>> self.original_state_dict = state_dict 2025-08-26T20:32:56.1659189Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-08-26T20:32:56.1659837Z >>> 2025-08-26T20:32:56.1660220Z >>> if self.flatten_sharded_tensors: 2025-08-26T20:32:56.1660853Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-08-26T20:32:56.1661428Z >>> 2025-08-26T20:32:56.1661754Z >>> if self.flatten_state_dict: 2025-08-26T20:32:56.1662408Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-08-26T20:32:56.1663059Z >>> 2025-08-26T20:32:56.1663402Z >>> self.state_dict = state_dict 2025-08-26T20:32:56.1663890Z >>> self.metadata = metadata 2025-08-26T20:32:56.1664383Z >>> self.is_coordinator = is_coordinator 2025-08-26T20:32:56.1664903Z >>> 2025-08-26T20:32:56.1665305Z >>> def load_bytes(self, read_item, value): 2025-08-26T20:32:56.1665905Z >>> # Remove the "foo_" prefix 2025-08-26T20:32:56.1666829Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-08-26T20:32:56.1667668Z 2025-08-26T20:32:56.1667676Z 2025-08-26T20:32:56.1668159Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-08-26T20:32:56.1668869Z 2025-08-26T20:32:56.1669085Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T20:32:56.1669770Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-08-26T20:32:56.1670464Z >>> def resolve_tensor(self, read_item): 2025-08-26T20:32:56.1671121Z >>> tensor = super().resolve_tensor(read_item) 2025-08-26T20:32:56.1671828Z >>> return torch.empty_like(tensor, device="cpu") 2025-08-26T20:32:56.1672457Z >>> 2025-08-26T20:32:56.1672865Z >>> def commit_tensor(self, read_item, tensor): 2025-08-26T20:32:56.1673593Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-08-26T20:32:56.1674117Z 2025-08-26T20:32:56.1674657Z Original Error: IndentationError('expected an indented block', ('', 23, 0, '_._ = None\n')) 2025-08-26T20:32:56.1675324Z 2025-08-26T20:32:56.1675470Z _._ = None 2025-08-26T20:32:56.1675782Z ^ 2025-08-26T20:32:56.6179174Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/api.py line=295. 2025-08-26T20:32:56.6181045Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:56.6181696Z 2025-08-26T20:32:56.6182082Z ``FullStateDictConfig`` is a config class meant to be used with 2025-08-26T20:32:56.6182939Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-08-26T20:32:56.6183655Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-08-26T20:32:56.6184204Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-08-26T20:32:56.6184746Z is meant to be used via the :func:`state_dict_type` context manager as 2025-08-26T20:32:56.6185397Z follows: 2025-08-26T20:32:56.6185530Z 2025-08-26T20:32:56.6185654Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T20:32:56.6186132Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-26T20:32:56.6186617Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-08-26T20:32:56.6187061Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-08-26T20:32:56.6187588Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-08-26T20:32:56.6188038Z >>> state = fsdp.state_dict() 2025-08-26T20:32:56.6188462Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-08-26T20:32:56.6189125Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-08-26T20:32:56.6189708Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-08-26T20:32:56.6190172Z >>> if dist.get_rank() == 0: 2025-08-26T20:32:56.6190556Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-08-26T20:32:56.6190998Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-08-26T20:32:56.6191359Z >>> model.load_state_dict(state_dict) 2025-08-26T20:32:56.6191825Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-08-26T20:32:56.6192426Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-08-26T20:32:56.6192879Z >>> fsdp = FSDP( 2025-08-26T20:32:56.6193231Z ... model, 2025-08-26T20:32:56.6193664Z ... device_id=torch.cuda.current_device(), 2025-08-26T20:32:56.6194272Z ... auto_wrap_policy=..., 2025-08-26T20:32:56.6194799Z ... sync_module_states=True, 2025-08-26T20:32:56.6195323Z ... ) 2025-08-26T20:32:56.6195905Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-08-26T20:32:56.6196526Z 2025-08-26T20:32:56.6196683Z Attributes: 2025-08-26T20:32:56.6197284Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-08-26T20:32:56.6198216Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-08-26T20:32:56.6198995Z ranks save the full state dict. (Default: ``False``) 2025-08-26T20:32:56.6199449Z 2025-08-26T20:32:56.6200053Z Original Error: IndentationError('expected an indented block', ('', 11, 1, '_._ = None\n')) 2025-08-26T20:32:56.6200989Z 2025-08-26T20:32:56.6201136Z _._ = None 2025-08-26T20:32:56.6201503Z ^ 2025-08-26T20:32:58.9502970Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/parametrize.py line=424. 2025-08-26T20:32:58.9504020Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:58.9504554Z Register a parametrization to a tensor in a module. 2025-08-26T20:32:58.9504820Z 2025-08-26T20:32:58.9505107Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-08-26T20:32:58.9505788Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-08-26T20:32:58.9506460Z If the original tensor requires a gradient, the backward pass will differentiate 2025-08-26T20:32:58.9507136Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-08-26T20:32:58.9507547Z 2025-08-26T20:32:58.9507863Z The first time that a module registers a parametrization, this function will add an attribute 2025-08-26T20:32:58.9508545Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-08-26T20:32:58.9508898Z 2025-08-26T20:32:58.9509174Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-08-26T20:32:58.9509677Z ``module.parametrizations.weight``. 2025-08-26T20:32:58.9509904Z 2025-08-26T20:32:58.9510038Z The original tensor will be accessible under 2025-08-26T20:32:58.9510600Z ``module.parametrizations.weight.original``. 2025-08-26T20:32:58.9511145Z 2025-08-26T20:32:58.9511407Z Parametrizations may be concatenated by registering several parametrizations 2025-08-26T20:32:58.9511899Z on the same attribute. 2025-08-26T20:32:58.9512070Z 2025-08-26T20:32:58.9512325Z The training mode of a registered parametrization is updated on registration 2025-08-26T20:32:58.9512809Z to match the training mode of the host module 2025-08-26T20:32:58.9513067Z 2025-08-26T20:32:58.9513367Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-08-26T20:32:58.9513922Z using the context manager :func:`cached`. 2025-08-26T20:32:58.9514147Z 2025-08-26T20:32:58.9514563Z A :attr:`parametrization` may optionally implement a method with signature 2025-08-26T20:32:58.9514917Z 2025-08-26T20:32:58.9515062Z .. code-block:: python 2025-08-26T20:32:58.9515234Z 2025-08-26T20:32:58.9515455Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-08-26T20:32:58.9515806Z 2025-08-26T20:32:58.9516062Z This method is called on the unparametrized tensor when the first parametrization 2025-08-26T20:32:58.9516713Z is registered to compute the initial value of the original tensor. 2025-08-26T20:32:58.9517343Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-08-26T20:32:58.9517768Z 2025-08-26T20:32:58.9518090Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-08-26T20:32:58.9518794Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-08-26T20:32:58.9519212Z 2025-08-26T20:32:58.9519434Z It is possible for the first parametrization to depend on several inputs. 2025-08-26T20:32:58.9520060Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-08-26T20:32:58.9520655Z (see the example implementation of a ``RankOne`` parametrization below). 2025-08-26T20:32:58.9521011Z 2025-08-26T20:32:58.9521357Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-08-26T20:32:58.9521942Z with names ``original0``, ``original1``,... 2025-08-26T20:32:58.9522175Z 2025-08-26T20:32:58.9522260Z .. note:: 2025-08-26T20:32:58.9522396Z 2025-08-26T20:32:58.9522664Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-08-26T20:32:58.9523200Z once to perform a number of consistency checks. 2025-08-26T20:32:58.9523721Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-08-26T20:32:58.9524235Z and nothing will be called otherwise. 2025-08-26T20:32:58.9524459Z 2025-08-26T20:32:58.9524549Z .. note:: 2025-08-26T20:32:58.9524687Z 2025-08-26T20:32:58.9524887Z In most situations, ``right_inverse`` will be a function such that 2025-08-26T20:32:58.9525339Z ``forward(right_inverse(X)) == X`` (see 2025-08-26T20:32:58.9525869Z `right inverse `_). 2025-08-26T20:32:58.9526529Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-08-26T20:32:58.9526984Z to relax this. 2025-08-26T20:32:58.9527148Z 2025-08-26T20:32:58.9527233Z .. warning:: 2025-08-26T20:32:58.9527380Z 2025-08-26T20:32:58.9527759Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-08-26T20:32:58.9528417Z will register a number of new parameters. If such parametrization is registered 2025-08-26T20:32:58.9529055Z after the optimizer is created, these new parameters will need to be added manually 2025-08-26T20:32:58.9529649Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-08-26T20:32:58.9529976Z 2025-08-26T20:32:58.9530059Z Args: 2025-08-26T20:32:58.9530398Z module (nn.Module): module on which to register the parametrization 2025-08-26T20:32:58.9531059Z tensor_name (str): name of the parameter or buffer on which to register 2025-08-26T20:32:58.9531488Z the parametrization 2025-08-26T20:32:58.9531891Z parametrization (nn.Module): the parametrization to register 2025-08-26T20:32:58.9532305Z Keyword args: 2025-08-26T20:32:58.9532667Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-08-26T20:32:58.9533188Z may change the dtype and shape of the tensor. Default: `False` 2025-08-26T20:32:58.9533774Z Warning: the parametrization is not checked for consistency upon registration. 2025-08-26T20:32:58.9534279Z Enable this flag at your own risk. 2025-08-26T20:32:58.9534500Z 2025-08-26T20:32:58.9534597Z Raises: 2025-08-26T20:32:58.9535079Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-08-26T20:32:58.9535480Z 2025-08-26T20:32:58.9535562Z Examples: 2025-08-26T20:32:58.9535845Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-08-26T20:32:58.9536194Z >>> import torch 2025-08-26T20:32:58.9536461Z >>> import torch.nn as nn 2025-08-26T20:32:58.9536778Z >>> import torch.nn.utils.parametrize as P 2025-08-26T20:32:58.9537118Z >>> 2025-08-26T20:32:58.9537350Z >>> class Symmetric(nn.Module): 2025-08-26T20:32:58.9537667Z >>> def forward(self, X): 2025-08-26T20:32:58.9538036Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-08-26T20:32:58.9538414Z >>> 2025-08-26T20:32:58.9538646Z >>> def right_inverse(self, A): 2025-08-26T20:32:58.9538960Z >>> return A.triu() 2025-08-26T20:32:58.9539220Z >>> 2025-08-26T20:32:58.9539439Z >>> m = nn.Linear(5, 5) 2025-08-26T20:32:58.9539790Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-08-26T20:32:58.9540311Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-08-26T20:32:58.9540748Z True 2025-08-26T20:32:58.9540970Z >>> A = torch.rand(5, 5) 2025-08-26T20:32:58.9541269Z >>> A = A + A.T # A is now symmetric 2025-08-26T20:32:58.9541686Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-08-26T20:32:58.9542112Z >>> print(torch.allclose(m.weight, A)) 2025-08-26T20:32:58.9542425Z True 2025-08-26T20:32:58.9542556Z 2025-08-26T20:32:58.9542661Z >>> class RankOne(nn.Module): 2025-08-26T20:32:58.9542977Z >>> def forward(self, x, y): 2025-08-26T20:32:58.9543336Z >>> # Form a rank 1 matrix multiplying two vectors 2025-08-26T20:32:58.9543713Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-08-26T20:32:58.9544047Z >>> 2025-08-26T20:32:58.9544283Z >>> def right_inverse(self, Z): 2025-08-26T20:32:58.9544624Z >>> # Project Z onto the rank 1 matrices 2025-08-26T20:32:58.9544992Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-08-26T20:32:58.9545384Z >>> # Return rescaled singular vectors 2025-08-26T20:32:58.9545728Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-08-26T20:32:58.9546107Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-08-26T20:32:58.9546443Z >>> 2025-08-26T20:32:58.9546710Z >>> linear_rank_one = P.register_parametrization( 2025-08-26T20:32:58.9547093Z ... nn.Linear(4, 4), "weight", RankOne() 2025-08-26T20:32:58.9547411Z ... ) 2025-08-26T20:32:58.9547726Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-08-26T20:32:58.9548132Z 1 2025-08-26T20:32:58.9548261Z 2025-08-26T20:32:58.9548339Z 2025-08-26T20:32:58.9548808Z Original Error: IndentationError('expected an indented block', ('', 3, 0, '_._ = None\n')) 2025-08-26T20:32:58.9549275Z 2025-08-26T20:32:58.9549356Z _._ = None 2025-08-26T20:32:58.9549558Z ^ 2025-08-26T20:32:59.0774339Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py line=1233. 2025-08-26T20:32:59.0775636Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:32:59.0776188Z Reduce learning rate when a metric has stopped improving. 2025-08-26T20:32:59.0776480Z 2025-08-26T20:32:59.0776693Z Models often benefit from reducing the learning rate by a factor 2025-08-26T20:32:59.0777187Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-08-26T20:32:59.0777685Z quantity and if no improvement is seen for a 'patience' number 2025-08-26T20:32:59.0778117Z of epochs, the learning rate is reduced. 2025-08-26T20:32:59.0778349Z 2025-08-26T20:32:59.0778444Z Args: 2025-08-26T20:32:59.0778788Z optimizer (Optimizer): Wrapped optimizer. 2025-08-26T20:32:59.0779195Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-08-26T20:32:59.0779624Z be reduced when the quantity monitored has stopped 2025-08-26T20:32:59.0780062Z decreasing; in `max` mode it will be reduced when the 2025-08-26T20:32:59.0780523Z quantity monitored has stopped increasing. Default: 'min'. 2025-08-26T20:32:59.0781004Z factor (float): Factor by which the learning rate will be 2025-08-26T20:32:59.0781431Z reduced. new_lr = lr * factor. Default: 0.1. 2025-08-26T20:32:59.0781896Z patience (int): The number of allowed epochs with no improvement after 2025-08-26T20:32:59.0782359Z which the learning rate will be reduced. 2025-08-26T20:32:59.0782812Z For example, consider the case of having no patience (`patience = 0`). 2025-08-26T20:32:59.0783526Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-08-26T20:32:59.0784205Z In the second epoch, if the performance is worse than the baseline, 2025-08-26T20:32:59.0784680Z we have what is considered an intolerable epoch. 2025-08-26T20:32:59.0785213Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-08-26T20:32:59.0785751Z the learning rate is reduced at the end of this epoch. 2025-08-26T20:32:59.0786352Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-08-26T20:32:59.0787118Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-08-26T20:32:59.0787678Z the learning rate is not adjusted. 2025-08-26T20:32:59.0787988Z Default: 10. 2025-08-26T20:32:59.0788341Z threshold (float): Threshold for measuring the new optimum, 2025-08-26T20:32:59.0788810Z to only focus on significant changes. Default: 1e-4. 2025-08-26T20:32:59.0789267Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-08-26T20:32:59.0789719Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-08-26T20:32:59.0790133Z mode or best * ( 1 - threshold ) in `min` mode. 2025-08-26T20:32:59.0790546Z In `abs` mode, dynamic_threshold = best + threshold in 2025-08-26T20:32:59.0790996Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-08-26T20:32:59.0791465Z cooldown (int): Number of epochs to wait before resuming 2025-08-26T20:32:59.0791916Z normal operation after lr has been reduced. Default: 0. 2025-08-26T20:32:59.0792368Z min_lr (float or list): A scalar or a list of scalars. A 2025-08-26T20:32:59.0792803Z lower bound on the learning rate of all param groups 2025-08-26T20:32:59.0793209Z or each group respectively. Default: 0. 2025-08-26T20:32:59.0793626Z eps (float): Minimal decay applied to lr. If the difference 2025-08-26T20:32:59.0794105Z between new and old lr is smaller than eps, the update is 2025-08-26T20:32:59.0794505Z ignored. Default: 1e-8. 2025-08-26T20:32:59.0794776Z 2025-08-26T20:32:59.0794877Z Example: 2025-08-26T20:32:59.0795106Z >>> # xdoctest: +SKIP 2025-08-26T20:32:59.0795508Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-08-26T20:32:59.0796016Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-08-26T20:32:59.0796396Z >>> for epoch in range(10): 2025-08-26T20:32:59.0796694Z >>> train(...) 2025-08-26T20:32:59.0796953Z >>> val_loss = validate(...) 2025-08-26T20:32:59.0797315Z >>> # Note that step should be called after validate() 2025-08-26T20:32:59.0797686Z >>> scheduler.step(val_loss) 2025-08-26T20:32:59.0797897Z 2025-08-26T20:32:59.0798194Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-08-26T20:32:59.0798572Z 2025-08-26T20:32:59.0799077Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n')) 2025-08-26T20:32:59.0799598Z 2025-08-26T20:32:59.0799703Z scheduler.step(val_loss) 2025-08-26T20:32:59.0799970Z ^ 2025-08-26T20:33:02.6839849Z gathering tests 2025-08-26T20:33:02.6860214Z running 862 test(s) 2025-08-26T20:33:02.6922581Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::typename:0, line 1082 <- wrt source file 2025-08-26T20:33:02.6932519Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::typename:0 2025-08-26T20:33:02.6933630Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::is_tensor:0, line 1118 <- wrt source file 2025-08-26T20:33:02.6937734Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::is_tensor:0 2025-08-26T20:33:02.6938890Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::set_default_device:0, line 1203 <- wrt source file 2025-08-26T20:33:02.6941577Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::set_default_device:0 2025-08-26T20:33:02.6943090Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1252 <- wrt source file 2025-08-26T20:33:02.6944423Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-08-26T20:33:02.6945591Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::set_default_dtype:0, line 1289 <- wrt source file 2025-08-26T20:33:02.6948618Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::set_default_dtype:0 2025-08-26T20:33:02.6949880Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1444 <- wrt source file 2025-08-26T20:33:02.6951794Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-08-26T20:33:02.6953361Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::compile:0, line 2567 <- wrt source file 2025-08-26T20:33:02.6954444Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::compile:0 2025-08-26T20:33:02.6955634Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2840 <- wrt source file 2025-08-26T20:33:02.6957492Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-08-26T20:33:02.6959308Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_C.cpython-39-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-08-26T20:33:02.6961524Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_C.cpython-39-x86_64-linux-gnu.so::Generator:0 2025-08-26T20:33:02.6963217Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_C.cpython-39-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-08-26T20:33:02.6964561Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_C.cpython-39-x86_64-linux-gnu.so::_LinAlgError:0 2025-08-26T20:33:02.6967186Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-08-26T20:33:02.6968395Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_custom_ops.py::custom_op:0 2025-08-26T20:33:02.6969617Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-08-26T20:33:02.6970719Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_custom_ops.py::impl:0 2025-08-26T20:33:02.6971835Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-08-26T20:33:02.7912649Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-08-26T20:33:02.7914142Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-08-26T20:33:02.7915465Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-08-26T20:33:02.7916702Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 649 <- wrt source file 2025-08-26T20:33:02.7930636Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-08-26T20:33:02.7931933Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 706 <- wrt source file 2025-08-26T20:33:02.7954833Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-08-26T20:33:02.7956117Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1333 <- wrt source file 2025-08-26T20:33:02.8070082Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-08-26T20:33:02.8073072Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1378 <- wrt source file 2025-08-26T20:33:02.8081012Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-08-26T20:33:02.8082140Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py::Tensor.rename:0, line 1451 <- wrt source file 2025-08-26T20:33:02.8092652Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py::Tensor.rename:0 2025-08-26T20:33:02.8093802Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1481 <- wrt source file 2025-08-26T20:33:02.8100286Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-08-26T20:33:02.8101446Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1513 <- wrt source file 2025-08-26T20:33:02.8124616Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-08-26T20:33:02.8125765Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-08-26T20:33:02.8145581Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-08-26T20:33:02.8146770Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-08-26T20:33:02.8154134Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::broadcast_tensors:0 2025-08-26T20:33:02.8155308Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-08-26T20:33:02.8158816Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::broadcast_shapes:0 2025-08-26T20:33:02.8159955Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-08-26T20:33:02.8174108Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::split:0 2025-08-26T20:33:02.8175200Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-08-26T20:33:02.8206367Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::einsum:0 2025-08-26T20:33:02.8207451Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-08-26T20:33:02.8255169Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::meshgrid:0 2025-08-26T20:33:02.8256329Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-08-26T20:33:02.8319621Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::_unique_impl:0 2025-08-26T20:33:02.8320838Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-08-26T20:33:02.8334279Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-08-26T20:33:02.8335463Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-08-26T20:33:02.8350777Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::tensordot:0 2025-08-26T20:33:02.8351937Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-08-26T20:33:02.8359884Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::cartesian_prod:0 2025-08-26T20:33:02.8361044Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-08-26T20:33:02.8373937Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::block_diag:0 2025-08-26T20:33:02.8375031Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-08-26T20:33:02.8391591Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::cdist:0 2025-08-26T20:33:02.8392698Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-08-26T20:33:02.8413040Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::atleast_1d:0 2025-08-26T20:33:02.8414161Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-08-26T20:33:02.8435003Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::atleast_2d:0 2025-08-26T20:33:02.8436115Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-08-26T20:33:02.8462178Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::atleast_3d:0 2025-08-26T20:33:02.8463274Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-08-26T20:33:02.8503722Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::norm:0 2025-08-26T20:33:02.8504907Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::unravel_index:0, line 1903 <- wrt source file 2025-08-26T20:33:02.8537989Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::unravel_index:0 2025-08-26T20:33:02.8539375Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::chain_matmul:0, line 2003 <- wrt source file 2025-08-26T20:33:02.8540551Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::chain_matmul:0 2025-08-26T20:33:02.8541734Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::_lu_impl:0, line 2104 <- wrt source file 2025-08-26T20:33:02.8543268Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/functional.py::_lu_impl:0 2025-08-26T20:33:02.8544759Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/hub.py::list:0, line 473 <- wrt source file 2025-08-26T20:33:02.8546059Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/hub.py::list:0 2025-08-26T20:33:02.8547296Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/hub.py::help:0, line 533 <- wrt source file 2025-08-26T20:33:02.8548373Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/hub.py::help:0 2025-08-26T20:33:02.8549360Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/hub.py::load:0, line 624 <- wrt source file 2025-08-26T20:33:02.8550359Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/hub.py::load:0 2025-08-26T20:33:02.8551375Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/hub.py::_load_local:0, line 672 <- wrt source file 2025-08-26T20:33:02.8552464Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/hub.py::_load_local:0 2025-08-26T20:33:02.8553808Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/hub.py::download_url_to_file:0, line 707 <- wrt source file 2025-08-26T20:33:02.8554972Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/hub.py::download_url_to_file:0 2025-08-26T20:33:02.8556116Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/hub.py::load_state_dict_from_url:0, line 847 <- wrt source file 2025-08-26T20:33:02.8557306Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-08-26T20:33:02.8558454Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::Library.define:0, line 153 <- wrt source file 2025-08-26T20:33:02.8559590Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::Library.define:0 2025-08-26T20:33:02.8560801Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 247 <- wrt source file 2025-08-26T20:33:02.8583870Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-08-26T20:33:02.8585081Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::Library.impl:0, line 307 <- wrt source file 2025-08-26T20:33:02.8589955Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::Library.impl:0 2025-08-26T20:33:02.8591039Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::define:0, line 512 <- wrt source file 2025-08-26T20:33:02.8625878Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::define:0 2025-08-26T20:33:02.8627106Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::impl:0, line 618 <- wrt source file 2025-08-26T20:33:02.8648489Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::impl:0 2025-08-26T20:33:02.8649809Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::register_kernel:0, line 799 <- wrt source file 2025-08-26T20:33:02.8651007Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::register_kernel:0 2025-08-26T20:33:02.8652243Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::register_autocast:0, line 867 <- wrt source file 2025-08-26T20:33:02.8653436Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::register_autocast:0 2025-08-26T20:33:02.8654601Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::register_autograd:0, line 1116 <- wrt source file 2025-08-26T20:33:02.8891306Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::register_autograd:0 2025-08-26T20:33:02.8892527Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::register_torch_dispatch:0, line 1232 <- wrt source file 2025-08-26T20:33:02.8993162Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::register_torch_dispatch:0 2025-08-26T20:33:02.8994354Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::register_vmap:0, line 1321 <- wrt source file 2025-08-26T20:33:02.9200094Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::register_vmap:0 2025-08-26T20:33:02.9201263Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::opcheck:0, line 1646 <- wrt source file 2025-08-26T20:33:02.9202385Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py::opcheck:0 2025-08-26T20:33:02.9203535Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py::get_ignored_functions:0, line 116 <- wrt source file 2025-08-26T20:33:02.9210730Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py::get_ignored_functions:0 2025-08-26T20:33:02.9211963Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py::get_testing_overrides:0, line 422 <- wrt source file 2025-08-26T20:33:02.9255292Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py::get_testing_overrides:0 2025-08-26T20:33:02.9256498Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py::wrap_torch_function:0, line 1577 <- wrt source file 2025-08-26T20:33:02.9260367Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py::wrap_torch_function:0 2025-08-26T20:33:02.9261586Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py::handle_torch_function:0, line 1712 <- wrt source file 2025-08-26T20:33:02.9264983Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py::handle_torch_function:0 2025-08-26T20:33:02.9266241Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1960 <- wrt source file 2025-08-26T20:33:02.9301805Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-08-26T20:33:02.9303014Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py::is_tensor_like:0, line 1979 <- wrt source file 2025-08-26T20:33:02.9311647Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py::is_tensor_like:0 2025-08-26T20:33:02.9312999Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-08-26T20:33:02.9314303Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/quasirandom.py::SobolEngine:0 2025-08-26T20:33:02.9315557Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/serialization.py::add_safe_globals:0, line 299 <- wrt source file 2025-08-26T20:33:02.9316906Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/serialization.py::add_safe_globals:0 2025-08-26T20:33:02.9318152Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/serialization.py::safe_globals:0, line 324 <- wrt source file 2025-08-26T20:33:02.9319455Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/serialization.py::safe_globals:0 2025-08-26T20:33:02.9320687Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/serialization.py::skip_data:0, line 400 <- wrt source file 2025-08-26T20:33:02.9321854Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/serialization.py::skip_data:0 2025-08-26T20:33:02.9323046Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/serialization.py::register_package:0, line 472 <- wrt source file 2025-08-26T20:33:02.9327298Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/serialization.py::register_package:0 2025-08-26T20:33:02.9328618Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/serialization.py::save:0, line 950 <- wrt source file 2025-08-26T20:33:02.9329733Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/serialization.py::save:0 2025-08-26T20:33:02.9330852Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/serialization.py::load:0, line 1363 <- wrt source file 2025-08-26T20:33:02.9334522Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/serialization.py::load:0 2025-08-26T20:33:02.9335905Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-08-26T20:33:02.9337094Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/torch_version.py::TorchVersion:0 2025-08-26T20:33:02.9338285Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 320 <- wrt source file 2025-08-26T20:33:02.9340000Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-08-26T20:33:02.9341223Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_inductor/__init__.py::list_options:0, line 357 <- wrt source file 2025-08-26T20:33:02.9354305Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_inductor/__init__.py::list_options:0 2025-08-26T20:33:02.9355638Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1884 <- wrt source file 2025-08-26T20:33:02.9361710Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-08-26T20:33:02.9363080Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 113 <- wrt source file 2025-08-26T20:33:02.9369011Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-08-26T20:33:02.9370886Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/accelerator/__init__.py::device_index:0, line 249 <- wrt source file 2025-08-26T20:33:02.9372163Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/accelerator/__init__.py::device_index:0 2025-08-26T20:33:02.9373378Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 125 <- wrt source file 2025-08-26T20:33:02.9374596Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-08-26T20:33:02.9375828Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 181 <- wrt source file 2025-08-26T20:33:03.8810016Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-08-26T20:33:03.8811519Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 411 <- wrt source file 2025-08-26T20:33:03.8812756Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-08-26T20:33:03.8813942Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::is_compiling:0, line 443 <- wrt source file 2025-08-26T20:33:03.8815769Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-08-26T20:33:03.8817010Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 464 <- wrt source file 2025-08-26T20:33:03.8820386Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-08-26T20:33:03.8821644Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::is_exporting:0, line 482 <- wrt source file 2025-08-26T20:33:03.8825236Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-08-26T20:33:03.8827168Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 497 <- wrt source file 2025-08-26T20:33:03.8829065Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-08-26T20:33:03.8830782Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 512 <- wrt source file 2025-08-26T20:33:03.8832429Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-08-26T20:33:03.8833768Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1760 <- wrt source file 2025-08-26T20:33:03.8835059Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-08-26T20:33:03.8836254Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py::save:0, line 345 <- wrt source file 2025-08-26T20:33:03.8837723Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py::save:0 2025-08-26T20:33:03.8838956Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py::load:0, line 415 <- wrt source file 2025-08-26T20:33:03.8840343Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py::load:0 2025-08-26T20:33:03.8841672Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py::register_dataclass:0, line 572 <- wrt source file 2025-08-26T20:33:03.8843686Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py::register_dataclass:0 2025-08-26T20:33:03.8844928Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/futures/__init__.py::Future.then:0, line 148 <- wrt source file 2025-08-26T20:33:03.8846116Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/futures/__init__.py::Future.then:0 2025-08-26T20:33:03.8847357Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 197 <- wrt source file 2025-08-26T20:33:03.8848790Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-08-26T20:33:03.8850054Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/futures/__init__.py::Future.set_result:0, line 231 <- wrt source file 2025-08-26T20:33:03.8851314Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-08-26T20:33:03.8852567Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 261 <- wrt source file 2025-08-26T20:33:03.8853856Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-08-26T20:33:03.8855076Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/futures/__init__.py::collect_all:0, line 295 <- wrt source file 2025-08-26T20:33:03.8856281Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/futures/__init__.py::collect_all:0 2025-08-26T20:33:03.8857420Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-08-26T20:33:03.8858548Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/jit/__init__.py::annotate:0 2025-08-26T20:33:03.8859767Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-08-26T20:33:03.8882935Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-08-26T20:33:03.8884198Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-08-26T20:33:03.8885395Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/mps/__init__.py::compile_shader:0 2025-08-26T20:33:03.8886575Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file 2025-08-26T20:33:03.8951711Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-08-26T20:33:03.8954127Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-08-26T20:33:03.8959074Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-08-26T20:33:03.8961352Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-08-26T20:33:03.9043368Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nested/__init__.py::narrow:0 2025-08-26T20:33:03.9045793Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-08-26T20:33:03.9073203Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-08-26T20:33:03.9075446Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-08-26T20:33:03.9098915Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nested/__init__.py::masked_select:0 2025-08-26T20:33:03.9101117Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-08-26T20:33:03.9114590Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/sparse/__init__.py::sum:0 2025-08-26T20:33:03.9116801Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-08-26T20:33:03.9160885Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-08-26T20:33:03.9163520Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file 2025-08-26T20:33:03.9222868Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-08-26T20:33:03.9225404Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 349 <- wrt source file 2025-08-26T20:33:03.9229370Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-08-26T20:33:03.9232067Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 322 <- wrt source file 2025-08-26T20:33:03.9234921Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-08-26T20:33:03.9237669Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1410 <- wrt source file 2025-08-26T20:33:03.9240469Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-08-26T20:33:03.9243434Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 158 <- wrt source file 2025-08-26T20:33:03.9246556Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-08-26T20:33:03.9249370Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 768 <- wrt source file 2025-08-26T20:33:03.9596373Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-08-26T20:33:03.9599008Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2025-08-26T20:33:03.9602140Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-08-26T20:33:03.9604693Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 233 <- wrt source file 2025-08-26T20:33:03.9660901Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-08-26T20:33:03.9663332Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 475 <- wrt source file 2025-08-26T20:33:03.9742079Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-08-26T20:33:03.9744617Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1023 <- wrt source file 2025-08-26T20:33:04.0810445Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-08-26T20:33:04.0812933Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1181 <- wrt source file 2025-08-26T20:33:04.0894626Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-08-26T20:33:04.0897154Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1341 <- wrt source file 2025-08-26T20:33:04.0922495Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-08-26T20:33:04.0925133Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1505 <- wrt source file 2025-08-26T20:33:04.0929628Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-08-26T20:33:04.0932220Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1704 <- wrt source file 2025-08-26T20:33:04.1136779Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-08-26T20:33:04.1139355Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-08-26T20:33:04.1144547Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-08-26T20:33:04.1147060Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-08-26T20:33:04.1149476Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-08-26T20:33:04.1152182Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1131 <- wrt source file 2025-08-26T20:33:04.1155242Z * SKIPPED: 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<- wrt source file 2025-08-26T20:33:04.1169894Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-08-26T20:33:04.1171359Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 155 <- wrt source file 2025-08-26T20:33:04.1172562Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-08-26T20:33:04.1173831Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-08-26T20:33:04.1175212Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-08-26T20:33:04.1176441Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_higher_order_ops/map.py::map:0, line 79 <- wrt source file 2025-08-26T20:33:04.1177609Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_higher_order_ops/map.py::map:0 2025-08-26T20:33:04.1178765Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 156 <- wrt source file 2025-08-26T20:33:04.1179945Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-08-26T20:33:04.1181203Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0, line 474 <- wrt source file 2025-08-26T20:33:04.1182490Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0 2025-08-26T20:33:04.1183778Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 372 <- wrt source file 2025-08-26T20:33:04.1185089Z * SKIPPED: 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2025-08-26T20:33:04.1193714Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_inductor/template_registry.py::register_template_heuristic:0 2025-08-26T20:33:04.1195024Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/custom_ops.py::custom_op:0, line 98 <- wrt source file 2025-08-26T20:33:04.2032146Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-08-26T20:33:04.2033489Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 238 <- wrt source file 2025-08-26T20:33:04.2151810Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-08-26T20:33:04.2153250Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 307 <- wrt source file 2025-08-26T20:33:04.2154879Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-08-26T20:33:04.2156280Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 541 <- wrt source file 2025-08-26T20:33:04.2399569Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-08-26T20:33:04.2400963Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 709 <- wrt source file 2025-08-26T20:33:04.2637491Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-08-26T20:33:04.2639047Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 795 <- wrt source file 2025-08-26T20:33:04.2641044Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-08-26T20:33:04.2642431Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 230 <- wrt source file 2025-08-26T20:33:04.2643842Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-08-26T20:33:04.2645210Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-08-26T20:33:04.2752059Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-08-26T20:33:04.2753389Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 51 <- wrt source file 2025-08-26T20:33:04.2761115Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-08-26T20:33:04.2762627Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-08-26T20:33:04.2763800Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/triton.py::triton_op:0 2025-08-26T20:33:04.2765051Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file 2025-08-26T20:33:04.2766240Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/triton.py::wrap_triton:0 2025-08-26T20:33:04.2767396Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_logging/_internal.py::set_logs:0, line 459 <- wrt source file 2025-08-26T20:33:04.2768698Z * SKIPPED: 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/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-08-26T20:33:04.2885240Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file 2025-08-26T20:33:04.2887848Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-08-26T20:33:04.2889304Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file 2025-08-26T20:33:04.2954529Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-08-26T20:33:04.2955874Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file 2025-08-26T20:33:04.3019274Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-08-26T20:33:04.3020611Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-08-26T20:33:04.3075843Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-08-26T20:33:04.3077138Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-08-26T20:33:04.3078480Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-08-26T20:33:04.3079777Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-08-26T20:33:04.3149426Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-08-26T20:33:04.3150803Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-08-26T20:33:04.3155006Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-08-26T20:33:04.3156365Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-08-26T20:33:04.3160833Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-08-26T20:33:04.3162192Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-08-26T20:33:04.3163431Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-08-26T20:33:04.3164896Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-08-26T20:33:04.3169215Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-08-26T20:33:04.3170520Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file 2025-08-26T20:33:04.3172861Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-08-26T20:33:04.3174819Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-08-26T20:33:04.3176442Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-08-26T20:33:04.3177917Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-08-26T20:33:04.3179501Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-08-26T20:33:04.3181224Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 30 <- wrt source file 2025-08-26T20:33:04.3182812Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-08-26T20:33:04.3184372Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-08-26T20:33:04.3186033Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-08-26T20:33:04.3187604Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-08-26T20:33:04.3189163Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-08-26T20:33:04.3190725Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-08-26T20:33:04.3192348Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-08-26T20:33:04.3193906Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-08-26T20:33:04.3195468Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-08-26T20:33:04.3196882Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 30 <- wrt source file 2025-08-26T20:33:04.3207245Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-08-26T20:33:04.3208861Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-08-26T20:33:04.3246230Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-08-26T20:33:04.3249057Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 211 <- wrt source file 2025-08-26T20:33:04.3251220Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-08-26T20:33:04.3252481Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 283 <- wrt source file 2025-08-26T20:33:04.3253771Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-08-26T20:33:04.3255027Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 359 <- wrt source file 2025-08-26T20:33:04.3256463Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-08-26T20:33:04.3257918Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-08-26T20:33:04.3259458Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-08-26T20:33:04.3260794Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-08-26T20:33:04.3266055Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-08-26T20:33:04.3267977Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-08-26T20:33:04.3269550Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-08-26T20:33:04.3271077Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 124 <- wrt source file 2025-08-26T20:33:04.3272525Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-08-26T20:33:04.3274254Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 209 <- wrt source file 2025-08-26T20:33:04.3276257Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-08-26T20:33:04.3278299Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 296 <- wrt source file 2025-08-26T20:33:04.3279838Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-08-26T20:33:04.3281322Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 378 <- wrt source file 2025-08-26T20:33:04.3283255Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-08-26T20:33:04.3285341Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 460 <- wrt source file 2025-08-26T20:33:04.3287031Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-08-26T20:33:04.3288732Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-08-26T20:33:04.3290370Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-08-26T20:33:04.3291905Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 515 <- wrt source file 2025-08-26T20:33:04.3293297Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-08-26T20:33:04.3294642Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 801 <- wrt source file 2025-08-26T20:33:04.3296028Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-08-26T20:33:04.3297445Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1206 <- wrt source file 2025-08-26T20:33:04.3298868Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-08-26T20:33:04.3300261Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1273 <- wrt source file 2025-08-26T20:33:04.3301685Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-08-26T20:33:04.3303086Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1326 <- wrt source file 2025-08-26T20:33:04.3304494Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-08-26T20:33:04.3305843Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-08-26T20:33:04.3307388Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-08-26T20:33:04.3309109Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file 2025-08-26T20:33:04.3311849Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-08-26T20:33:04.3314359Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 505 <- wrt source file 2025-08-26T20:33:04.3316929Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-08-26T20:33:04.3319488Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 635 <- wrt source file 2025-08-26T20:33:04.3322139Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-08-26T20:33:04.3324785Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 892 <- wrt source file 2025-08-26T20:33:04.3327676Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-08-26T20:33:04.3330519Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1014 <- wrt source file 2025-08-26T20:33:04.3333325Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-08-26T20:33:04.3336062Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1140 <- wrt source file 2025-08-26T20:33:04.3339037Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-08-26T20:33:04.3341903Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-08-26T20:33:04.3384408Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-08-26T20:33:04.3387266Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-08-26T20:33:04.3400563Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-08-26T20:33:04.3403542Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-08-26T20:33:04.3407353Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-08-26T20:33:04.3410665Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-08-26T20:33:04.3413729Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-08-26T20:33:04.3416475Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 138 <- wrt source file 2025-08-26T20:33:04.3419111Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-08-26T20:33:04.3421615Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file 2025-08-26T20:33:04.3424089Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-08-26T20:33:04.3427323Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file 2025-08-26T20:33:04.3545873Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2025-08-26T20:33:04.3549496Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-08-26T20:33:04.3553004Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-08-26T20:33:04.3556107Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-08-26T20:33:04.3558943Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-08-26T20:33:04.3561783Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-08-26T20:33:04.3564739Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-08-26T20:33:04.3567869Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 245 <- wrt source file 2025-08-26T20:33:04.3571322Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-08-26T20:33:04.3574203Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 176 <- wrt source file 2025-08-26T20:33:04.3576888Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-08-26T20:33:04.3579719Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 31 <- wrt source file 2025-08-26T20:33:04.3582558Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-08-26T20:33:04.3585418Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 76 <- wrt source file 2025-08-26T20:33:04.3588381Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-08-26T20:33:04.3591263Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 130 <- wrt source file 2025-08-26T20:33:04.3594168Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-08-26T20:33:04.3597112Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 163 <- wrt source file 2025-08-26T20:33:04.3600177Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-08-26T20:33:04.3602904Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-08-26T20:33:04.3605460Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-08-26T20:33:04.3608085Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-08-26T20:33:04.3611154Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-08-26T20:33:04.3613763Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-08-26T20:33:04.3616296Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-08-26T20:33:04.3618840Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-08-26T20:33:04.3621443Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-08-26T20:33:04.3624045Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-08-26T20:33:04.3626735Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-08-26T20:33:04.3629337Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-08-26T20:33:04.3631961Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-08-26T20:33:04.3634844Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-08-26T20:33:04.3637739Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-08-26T20:33:04.3640678Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file 2025-08-26T20:33:04.3643948Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-08-26T20:33:04.3646812Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-08-26T20:33:04.3649611Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-08-26T20:33:04.3652344Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-08-26T20:33:04.3655133Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-08-26T20:33:04.3657837Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-08-26T20:33:04.3660533Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-08-26T20:33:04.3663152Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 172 <- wrt source file 2025-08-26T20:33:04.3665784Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-08-26T20:33:04.3668368Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 544 <- wrt source file 2025-08-26T20:33:04.3671009Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-08-26T20:33:04.3673651Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 566 <- wrt source file 2025-08-26T20:33:04.3676335Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-08-26T20:33:04.3678958Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 580 <- wrt source file 2025-08-26T20:33:04.3681626Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-08-26T20:33:04.3684237Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 602 <- wrt source file 2025-08-26T20:33:04.3686867Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-08-26T20:33:04.3689459Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 729 <- wrt source file 2025-08-26T20:33:04.3692044Z * SKIPPED: 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source file 2025-08-26T20:33:04.3710379Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2025-08-26T20:33:04.3713858Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 339 <- wrt source file 2025-08-26T20:33:04.3717828Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0 2025-08-26T20:33:04.3721805Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0, line 427 <- wrt source file 2025-08-26T20:33:04.3725887Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0 2025-08-26T20:33:04.3729907Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0, line 589 <- wrt source file 2025-08-26T20:33:04.3733930Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0 2025-08-26T20:33:04.3737974Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 662 <- wrt source file 2025-08-26T20:33:04.3742142Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0 2025-08-26T20:33:04.3745677Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 102 <- wrt source file 2025-08-26T20:33:04.3748849Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-08-26T20:33:04.3751887Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 148 <- wrt source file 2025-08-26T20:33:04.3754984Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-08-26T20:33:04.3757987Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 188 <- wrt source file 2025-08-26T20:33:04.3761013Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2025-08-26T20:33:04.3764312Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 436 <- wrt source file 2025-08-26T20:33:04.3767523Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-08-26T20:33:04.3770390Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file 2025-08-26T20:33:04.3773055Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2025-08-26T20:33:04.3775463Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file 2025-08-26T20:33:04.3777844Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/forward_ad.py::make_dual:0 2025-08-26T20:33:04.3780198Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file 2025-08-26T20:33:04.3782608Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2025-08-26T20:33:04.3784970Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file 2025-08-26T20:33:04.3787384Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/forward_ad.py::dual_level:0 2025-08-26T20:33:04.3789947Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 71 <- wrt source file 2025-08-26T20:33:04.3792747Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0 2025-08-26T20:33:04.3795478Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 115 <- wrt source file 2025-08-26T20:33:04.3798242Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0 2025-08-26T20:33:04.3800896Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 167 <- wrt source file 2025-08-26T20:33:04.3803576Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2025-08-26T20:33:04.3806323Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 214 <- wrt source file 2025-08-26T20:33:04.3809328Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2025-08-26T20:33:04.3812346Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 243 <- wrt source file 2025-08-26T20:33:04.3815250Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2025-08-26T20:33:04.3817800Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py::Function:0, line 485 <- wrt source file 2025-08-26T20:33:04.3820148Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py::Function:0 2025-08-26T20:33:04.3822419Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/functional.py::vjp:0, line 293 <- wrt source file 2025-08-26T20:33:04.3824863Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/functional.py::vjp:0 2025-08-26T20:33:04.3827110Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/functional.py::jvp:0, line 395 <- wrt source file 2025-08-26T20:33:04.3829394Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/functional.py::jvp:0 2025-08-26T20:33:04.3831667Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/functional.py::jacobian:0, line 630 <- wrt source file 2025-08-26T20:33:04.3834227Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/functional.py::jacobian:0 2025-08-26T20:33:04.3836554Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/functional.py::hessian:0, line 894 <- wrt source file 2025-08-26T20:33:04.3838928Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/functional.py::hessian:0 2025-08-26T20:33:04.3841218Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/functional.py::vhp:0, line 1010 <- wrt source file 2025-08-26T20:33:04.3843500Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/functional.py::vhp:0 2025-08-26T20:33:04.3845756Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/functional.py::hvp:0, line 1109 <- wrt source file 2025-08-26T20:33:04.3848134Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/functional.py::hvp:0 2025-08-26T20:33:04.3850368Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2025-08-26T20:33:04.3852673Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-08-26T20:33:04.3854997Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2025-08-26T20:33:04.3857376Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-08-26T20:33:04.3859779Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2025-08-26T20:33:04.3862277Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-08-26T20:33:04.3864724Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 238 <- wrt source file 2025-08-26T20:33:04.3878450Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-08-26T20:33:04.3881124Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::Node.name:0, line 53 <- wrt source file 2025-08-26T20:33:04.3883524Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::Node.name:0 2025-08-26T20:33:04.3885882Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 110 <- wrt source file 2025-08-26T20:33:04.3888508Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-08-26T20:33:04.3891007Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 147 <- wrt source file 2025-08-26T20:33:04.3893557Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-08-26T20:33:04.3896255Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 283 <- wrt source file 2025-08-26T20:33:04.3898744Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-08-26T20:33:04.3901083Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 353 <- wrt source file 2025-08-26T20:33:04.3903401Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-08-26T20:33:04.3905941Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 410 <- wrt source file 2025-08-26T20:33:04.3908611Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2025-08-26T20:33:04.3911359Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 487 <- wrt source file 2025-08-26T20:33:04.3913971Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2025-08-26T20:33:04.3916585Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 753 <- wrt source file 2025-08-26T20:33:04.3919330Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2025-08-26T20:33:04.3921841Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file 2025-08-26T20:33:04.3924166Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/profiler.py::profile:0 2025-08-26T20:33:04.3926539Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/profiler.py::record_function:0, line 745 <- wrt source file 2025-08-26T20:33:04.3929102Z * SKIPPED: 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* DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 58 <- wrt source file 2025-08-26T20:33:04.3947695Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-08-26T20:33:04.3949898Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/gds.py::GdsFile:0, line 85 <- wrt source file 2025-08-26T20:33:04.3952018Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/gds.py::GdsFile:0 2025-08-26T20:33:04.3954228Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2025-08-26T20:33:04.3956764Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-08-26T20:33:04.3959084Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2025-08-26T20:33:04.3961448Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-08-26T20:33:04.3963771Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file 2025-08-26T20:33:04.3966244Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-08-26T20:33:04.3968805Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-08-26T20:33:04.3971446Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-08-26T20:33:04.3973840Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-08-26T20:33:04.3976062Z * SKIPPED: 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/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/distributed_c10d.py::gather_object:0 2025-08-26T20:33:04.4028115Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0, line 3376 <- wrt source file 2025-08-26T20:33:04.4030889Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0 2025-08-26T20:33:04.4033605Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0, line 3478 <- wrt source file 2025-08-26T20:33:04.4036369Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0 2025-08-26T20:33:04.4039145Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 3592 <- wrt source file 2025-08-26T20:33:04.4042027Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::putmem_signal_block:0, line 268 <- wrt source file 2025-08-26T20:33:04.4206414Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::putmem_signal_block:0 2025-08-26T20:33:04.4209400Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::wait_until:0, line 323 <- wrt source file 2025-08-26T20:33:04.4212512Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::wait_until:0 2025-08-26T20:33:04.4215480Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_wait_until:0, line 386 <- wrt source file 2025-08-26T20:33:04.4218728Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0 2025-08-26T20:33:04.4302955Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0, line 23 <- wrt source file 2025-08-26T20:33:04.4306118Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0 2025-08-26T20:33:04.4309246Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0, line 49 <- wrt source file 2025-08-26T20:33:04.4312638Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0 2025-08-26T20:33:04.4315841Z * DOCTEST : 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/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::powerSGD_hook:0, line 395 <- wrt source file 2025-08-26T20:33:04.4352373Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::powerSGD_hook:0 2025-08-26T20:33:04.4355599Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0, line 708 <- wrt source file 2025-08-26T20:33:04.4358966Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0 2025-08-26T20:33:04.4362403Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0, line 64 <- wrt source file 2025-08-26T20:33:04.4366031Z * SKIPPED: 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/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0, line 651 <- wrt source file 2025-08-26T20:33:04.4538157Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0 2025-08-26T20:33:04.4541758Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.state_dict_type:0, line 798 <- wrt source file 2025-08-26T20:33:04.4545476Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.state_dict_type:0 2025-08-26T20:33:04.4549256Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0, line 1490 <- wrt source file 2025-08-26T20:33:04.4553125Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0 2025-08-26T20:33:04.4556958Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1610 <- wrt source file 2025-08-26T20:33:04.4560871Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0 2025-08-26T20:33:04.4564648Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0, line 1695 <- wrt source file 2025-08-26T20:33:04.4568499Z * SKIPPED: 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2025-08-26T20:33:04.4586595Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0, line 54 <- wrt source file 2025-08-26T20:33:04.4589596Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0 2025-08-26T20:33:04.4592286Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 224 <- wrt source file 2025-08-26T20:33:04.4594822Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0 2025-08-26T20:33:04.4597385Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0, line 134 <- wrt source file 2025-08-26T20:33:04.4600171Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0 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2025-08-26T20:33:04.4652127Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0, line 37 <- wrt source file 2025-08-26T20:33:04.4654979Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0 2025-08-26T20:33:04.4658032Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0, line 335 <- wrt source file 2025-08-26T20:33:04.4661327Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0 2025-08-26T20:33:04.4664316Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0, line 333 <- wrt source file 2025-08-26T20:33:04.4666887Z * SKIPPED: 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2025-08-26T20:33:04.4684973Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0 2025-08-26T20:33:04.4687683Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 174 <- wrt source file 2025-08-26T20:33:04.4690047Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/rpc/api.py::_wait_all:0 2025-08-26T20:33:04.4692391Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 345 <- wrt source file 2025-08-26T20:33:04.4694789Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/rpc/api.py::shutdown:0 2025-08-26T20:33:04.4697108Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/rpc/api.py::remote:0, line 606 <- wrt source file 2025-08-26T20:33:04.4699446Z * SKIPPED: 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2025-08-26T20:33:04.4717248Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0, line 125 <- wrt source file 2025-08-26T20:33:04.4720521Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0 2025-08-26T20:33:04.4723794Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0, line 60 <- wrt source file 2025-08-26T20:33:04.4727366Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0 2025-08-26T20:33:04.4730300Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0, line 837 <- wrt source file 2025-08-26T20:33:04.4732865Z * SKIPPED: 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* DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file 2025-08-26T20:33:04.4786234Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0 2025-08-26T20:33:04.4789111Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file 2025-08-26T20:33:04.4792142Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2025-08-26T20:33:04.4795062Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file 2025-08-26T20:33:04.4798064Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0 2025-08-26T20:33:04.4801108Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0, line 615 <- wrt source file 2025-08-26T20:33:04.4804141Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0 2025-08-26T20:33:04.4807182Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0, line 740 <- wrt source file 2025-08-26T20:33:04.4810322Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0 2025-08-26T20:33:04.4812896Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file 2025-08-26T20:33:04.4815325Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-08-26T20:33:04.4817627Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-08-26T20:33:04.4819854Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/beta.py::Beta:0 2025-08-26T20:33:04.4822121Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-08-26T20:33:04.4824519Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/binomial.py::Binomial:0 2025-08-26T20:33:04.4826955Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-08-26T20:33:04.4829508Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/categorical.py::Categorical:0 2025-08-26T20:33:04.4831895Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-08-26T20:33:04.4834185Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-08-26T20:33:04.4836391Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-08-26T20:33:04.4838615Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/chi2.py::Chi2:0 2025-08-26T20:33:04.4840976Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/constraints.py::is_dependent:0, line 166 <- wrt source file 2025-08-26T20:33:04.4843583Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-08-26T20:33:04.4846252Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 187 <- wrt source file 2025-08-26T20:33:04.4849115Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-08-26T20:33:04.4851959Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-08-26T20:33:04.4855304Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-08-26T20:33:04.4858006Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 42 <- wrt source file 2025-08-26T20:33:04.4860514Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-08-26T20:33:04.4863138Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-08-26T20:33:04.4865740Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/exponential.py::Exponential:0 2025-08-26T20:33:04.4868407Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-08-26T20:33:04.4871201Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-08-26T20:33:04.4873677Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-08-26T20:33:04.4875977Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/gamma.py::Gamma:0 2025-08-26T20:33:04.4878579Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-08-26T20:33:04.4881514Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-08-26T20:33:04.4884167Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-08-26T20:33:04.4886689Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/geometric.py::Geometric:0 2025-08-26T20:33:04.4889140Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-08-26T20:33:04.4891492Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-08-26T20:33:04.4893921Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-08-26T20:33:04.4896495Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-08-26T20:33:04.4899013Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-08-26T20:33:04.4901576Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-08-26T20:33:04.4904139Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-08-26T20:33:04.4906744Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/independent.py::Independent:0 2025-08-26T20:33:04.4909337Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-08-26T20:33:04.4912166Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-08-26T20:33:04.4914898Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-08-26T20:33:04.4917520Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-08-26T20:33:04.4919982Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-08-26T20:33:04.4922387Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/laplace.py::Laplace:0 2025-08-26T20:33:04.4924938Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-08-26T20:33:04.4927547Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-08-26T20:33:04.4930113Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-08-26T20:33:04.4932614Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-08-26T20:33:04.4935195Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-08-26T20:33:04.4937950Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-08-26T20:33:04.4940944Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file 2025-08-26T20:33:04.4944227Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-08-26T20:33:04.4963821Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-08-26T20:33:04.4966184Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/normal.py::Normal:0 2025-08-26T20:33:04.4968843Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-08-26T20:33:04.4971745Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-08-26T20:33:04.4974324Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-08-26T20:33:04.4976700Z * SUCCESS: 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2025-08-26T20:33:04.5041744Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 103 <- wrt source file 2025-08-26T20:33:04.5044061Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/dynamic_shapes.py::Dim:0 2025-08-26T20:33:04.5046482Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 715 <- wrt source file 2025-08-26T20:33:04.5049252Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0 2025-08-26T20:33:04.5051830Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 731 <- wrt source file 2025-08-26T20:33:04.5054450Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1 2025-08-26T20:33:04.5057010Z * DOCTEST : 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SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0 2025-08-26T20:33:04.5239876Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0, line 70 <- wrt source file 2025-08-26T20:33:04.5242705Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0 2025-08-26T20:33:04.5245415Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/unification/utils.py::freeze:0, line 95 <- wrt source file 2025-08-26T20:33:04.5248189Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/unification/utils.py::freeze:0 2025-08-26T20:33:04.5250911Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/unification/variable.py::variables:0, line 67 <- wrt source file 2025-08-26T20:33:04.5253773Z * SKIPPED: 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/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 41 <- wrt source file 2025-08-26T20:33:04.5307671Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0 2025-08-26T20:33:04.5310994Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 68 <- wrt source file 2025-08-26T20:33:04.5314286Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0 2025-08-26T20:33:04.5317442Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 87 <- wrt source file 2025-08-26T20:33:04.5320623Z * SUCCESS: 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2025-08-26T20:33:04.5386784Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/masked/_ops.py::logaddexp:0, line 1530 <- wrt source file 2025-08-26T20:33:04.5388982Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/masked/_ops.py::logaddexp:0 2025-08-26T20:33:04.5391383Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file 2025-08-26T20:33:04.5394041Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-08-26T20:33:04.5396672Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 460 <- wrt source file 2025-08-26T20:33:04.5399429Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-08-26T20:33:04.5402149Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 579 <- wrt source file 2025-08-26T20:33:04.5999937Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-08-26T20:33:04.6022638Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2174 <- wrt source file 2025-08-26T20:33:04.6034150Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-08-26T20:33:04.6036832Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::embedding:0, line 2478 <- wrt source file 2025-08-26T20:33:04.6046330Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::embedding:0 2025-08-26T20:33:04.6048656Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::embedding_bag:0, line 2618 <- wrt source file 2025-08-26T20:33:04.6060897Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::embedding_bag:0 2025-08-26T20:33:04.6063155Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::ctc_loss:0, line 3051 <- wrt source file 2025-08-26T20:33:04.6081059Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::ctc_loss:0 2025-08-26T20:33:04.6083274Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::nll_loss:0, line 3121 <- wrt source file 2025-08-26T20:33:04.6089726Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::nll_loss:0 2025-08-26T20:33:04.6091980Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::cross_entropy:0, line 3430 <- wrt source file 2025-08-26T20:33:04.6102412Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::cross_entropy:0 2025-08-26T20:33:04.6104816Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3495 <- wrt source file 2025-08-26T20:33:04.6111326Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-08-26T20:33:04.6113923Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3565 <- wrt source file 2025-08-26T20:33:04.6120046Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-08-26T20:33:04.6122465Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py::pad:0, line 5263 <- wrt source file 2025-08-26T20:33:04.6133972Z * SUCCESS: 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/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-08-26T20:33:04.6170101Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-08-26T20:33:04.6172265Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-08-26T20:33:04.6214532Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/grad.py::conv3d_input:0 2025-08-26T20:33:04.6217320Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-08-26T20:33:04.6246996Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-08-26T20:33:04.6249719Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::calculate_gain:0, line 171 <- wrt source file 2025-08-26T20:33:04.6252444Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::calculate_gain:0 2025-08-26T20:33:04.6254610Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::uniform_:0, line 230 <- wrt source file 2025-08-26T20:33:04.6257164Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::uniform_:0 2025-08-26T20:33:04.6259199Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::normal_:0, line 257 <- wrt source file 2025-08-26T20:33:04.6261286Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::normal_:0 2025-08-26T20:33:04.6263390Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::trunc_normal_:0, line 292 <- wrt source file 2025-08-26T20:33:04.6279042Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::trunc_normal_:0 2025-08-26T20:33:04.6281216Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::constant_:0, line 306 <- wrt source file 2025-08-26T20:33:04.6283854Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::constant_:0 2025-08-26T20:33:04.6285928Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::ones_:0, line 323 <- wrt source file 2025-08-26T20:33:04.6288164Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::ones_:0 2025-08-26T20:33:04.6290192Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::zeros_:0, line 336 <- wrt source file 2025-08-26T20:33:04.6292406Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::zeros_:0 2025-08-26T20:33:04.6294413Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::eye_:0, line 352 <- wrt source file 2025-08-26T20:33:04.6297074Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::eye_:0 2025-08-26T20:33:04.6299102Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::dirac_:0, line 374 <- wrt source file 2025-08-26T20:33:04.6303671Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::dirac_:0 2025-08-26T20:33:04.6305833Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::xavier_uniform_:0, line 460 <- wrt source file 2025-08-26T20:33:04.6308714Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-08-26T20:33:04.6311062Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::xavier_normal_:0, line 492 <- wrt source file 2025-08-26T20:33:04.6313330Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::xavier_normal_:0 2025-08-26T20:33:04.6315529Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 543 <- wrt source file 2025-08-26T20:33:04.6318397Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-08-26T20:33:04.6320614Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::kaiming_normal_:0, line 608 <- wrt source file 2025-08-26T20:33:04.6322873Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-08-26T20:33:04.6325024Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::orthogonal_:0, line 647 <- wrt source file 2025-08-26T20:33:04.6327224Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::orthogonal_:0 2025-08-26T20:33:04.6329384Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::sparse_:0, line 700 <- wrt source file 2025-08-26T20:33:04.6331768Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/init.py::sparse_:0 2025-08-26T20:33:04.6334095Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 120 <- wrt source file 2025-08-26T20:33:04.6336600Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-08-26T20:33:04.6338982Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 95 <- wrt source file 2025-08-26T20:33:04.6341363Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-08-26T20:33:04.6343880Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-08-26T20:33:04.6346354Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-08-26T20:33:04.6348722Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-08-26T20:33:04.6351072Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-08-26T20:33:04.6353374Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-08-26T20:33:04.6355759Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-08-26T20:33:04.6358121Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-08-26T20:33:04.6360762Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-08-26T20:33:04.6363124Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-08-26T20:33:04.6365718Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-08-26T20:33:04.6368168Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-08-26T20:33:04.6370851Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-08-26T20:33:04.6373290Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-08-26T20:33:04.6376828Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-08-26T20:33:04.6379226Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-08-26T20:33:04.6381578Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-08-26T20:33:04.6383886Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-08-26T20:33:04.6387599Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-08-26T20:33:04.6389906Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-08-26T20:33:04.6392969Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Mish:0 2025-08-26T20:33:04.6395339Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-08-26T20:33:04.6398473Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-08-26T20:33:04.6400817Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-08-26T20:33:04.6405256Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::ELU:0 2025-08-26T20:33:04.6407942Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-08-26T20:33:04.6412868Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::CELU:0 2025-08-26T20:33:04.6415208Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-08-26T20:33:04.6418597Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::SELU:0 2025-08-26T20:33:04.6420901Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-08-26T20:33:04.6425105Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::GLU:0 2025-08-26T20:33:04.6427667Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-08-26T20:33:04.6435708Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::GELU:0 2025-08-26T20:33:04.6438096Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-08-26T20:33:04.6441173Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-08-26T20:33:04.6443626Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-08-26T20:33:04.6446581Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-08-26T20:33:04.6449075Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-08-26T20:33:04.6452093Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-08-26T20:33:04.6454491Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-08-26T20:33:04.6458940Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-08-26T20:33:04.6461381Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-08-26T20:33:04.6464643Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-08-26T20:33:04.6467210Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1144 <- wrt source file 2025-08-26T20:33:04.6469936Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-08-26T20:33:04.6472427Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1609 <- wrt source file 2025-08-26T20:33:04.6474986Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-08-26T20:33:04.6477375Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1660 <- wrt source file 2025-08-26T20:33:04.6479839Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-08-26T20:33:04.6482269Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1686 <- wrt source file 2025-08-26T20:33:04.6484862Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-08-26T20:33:04.6487276Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1724 <- wrt source file 2025-08-26T20:33:04.6489774Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-08-26T20:33:04.6492135Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1788 <- wrt source file 2025-08-26T20:33:04.6494950Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-08-26T20:33:04.6497394Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1835 <- wrt source file 2025-08-26T20:33:04.6501113Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-08-26T20:33:04.6503973Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1874 <- wrt source file 2025-08-26T20:33:04.6508369Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-08-26T20:33:04.6510980Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 332 <- wrt source file 2025-08-26T20:33:04.6519206Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-08-26T20:33:04.6522057Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 443 <- wrt source file 2025-08-26T20:33:04.6775113Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-08-26T20:33:04.6777873Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 554 <- wrt source file 2025-08-26T20:33:04.9188540Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-08-26T20:33:04.9360571Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 678 <- wrt source file 2025-08-26T20:33:04.9363283Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-08-26T20:33:04.9366056Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 844 <- wrt source file 2025-08-26T20:33:04.9369192Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-08-26T20:33:04.9372054Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-08-26T20:33:04.9389723Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-08-26T20:33:04.9392613Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-08-26T20:33:04.9395090Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::Sequential:0 2025-08-26T20:33:04.9397612Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 260 <- wrt source file 2025-08-26T20:33:04.9402534Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-08-26T20:33:04.9405283Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 283 <- wrt source file 2025-08-26T20:33:04.9413500Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-08-26T20:33:04.9416141Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 314 <- wrt source file 2025-08-26T20:33:04.9424191Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-08-26T20:33:04.9426751Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::ModuleList:0, line 343 <- wrt source file 2025-08-26T20:33:04.9429229Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-08-26T20:33:04.9431657Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 523 <- wrt source file 2025-08-26T20:33:04.9434124Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-08-26T20:33:04.9436597Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::ParameterList:0, line 653 <- wrt source file 2025-08-26T20:33:04.9439144Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-08-26T20:33:04.9441638Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 808 <- wrt source file 2025-08-26T20:33:04.9444191Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-08-26T20:33:04.9446691Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-08-26T20:33:04.9449358Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-08-26T20:33:04.9451903Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-08-26T20:33:04.9454481Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-08-26T20:33:04.9456877Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-08-26T20:33:04.9459230Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-08-26T20:33:04.9461550Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-08-26T20:33:04.9463953Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-08-26T20:33:04.9466510Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-08-26T20:33:04.9487280Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-08-26T20:33:04.9489733Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-08-26T20:33:04.9561916Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-08-26T20:33:04.9565075Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-08-26T20:33:04.9568914Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-08-26T20:33:04.9571436Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-08-26T20:33:04.9642921Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-08-26T20:33:04.9645799Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file 2025-08-26T20:33:04.9652359Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-08-26T20:33:04.9654695Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 87 <- wrt source file 2025-08-26T20:33:04.9675197Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-08-26T20:33:04.9677441Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-08-26T20:33:04.9682834Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/fold.py::Fold:0 2025-08-26T20:33:04.9685023Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-08-26T20:33:04.9721068Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-08-26T20:33:04.9723534Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file 2025-08-26T20:33:04.9736461Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-08-26T20:33:04.9739076Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file 2025-08-26T20:33:04.9939164Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-08-26T20:33:04.9942029Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file 2025-08-26T20:33:05.2371998Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-08-26T20:33:05.2546151Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-08-26T20:33:05.2551539Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-08-26T20:33:05.2553915Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-08-26T20:33:05.2560875Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/linear.py::Identity:0 2025-08-26T20:33:05.2563363Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-08-26T20:33:05.2572689Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/linear.py::Linear:0 2025-08-26T20:33:05.2574981Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-08-26T20:33:05.2596558Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-08-26T20:33:05.2598856Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file 2025-08-26T20:33:05.2606449Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-08-26T20:33:05.2608716Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 215 <- wrt source file 2025-08-26T20:33:05.2646264Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-08-26T20:33:05.2648928Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 329 <- wrt source file 2025-08-26T20:33:05.2656298Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-08-26T20:33:05.2658962Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 418 <- wrt source file 2025-08-26T20:33:05.2677436Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-08-26T20:33:05.2679782Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 535 <- wrt source file 2025-08-26T20:33:05.2688437Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-08-26T20:33:05.2691038Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 617 <- wrt source file 2025-08-26T20:33:05.2697374Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-08-26T20:33:05.2699604Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 703 <- wrt source file 2025-08-26T20:33:05.2707111Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-08-26T20:33:05.2709470Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 778 <- wrt source file 2025-08-26T20:33:05.2722865Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-08-26T20:33:05.2725312Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 826 <- wrt source file 2025-08-26T20:33:05.2731602Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-08-26T20:33:05.2734542Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 974 <- wrt source file 2025-08-26T20:33:05.2743384Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-08-26T20:33:05.2757624Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1306 <- wrt source file 2025-08-26T20:33:05.2760681Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-08-26T20:33:05.2763110Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1333 <- wrt source file 2025-08-26T20:33:05.2765589Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-08-26T20:33:05.2768389Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1495 <- wrt source file 2025-08-26T20:33:05.2772553Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-08-26T20:33:05.2775166Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1562 <- wrt source file 2025-08-26T20:33:05.2782478Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-08-26T20:33:05.2784926Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1643 <- wrt source file 2025-08-26T20:33:05.2793337Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-08-26T20:33:05.2795784Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1745 <- wrt source file 2025-08-26T20:33:05.2807910Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-08-26T20:33:05.2810710Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1858 <- wrt source file 2025-08-26T20:33:05.2833199Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-08-26T20:33:05.2836160Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1990 <- wrt source file 2025-08-26T20:33:05.2871603Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-08-26T20:33:05.2874057Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 551 <- wrt source file 2025-08-26T20:33:05.2876701Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-08-26T20:33:05.2879204Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1039 <- wrt source file 2025-08-26T20:33:05.2890666Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-08-26T20:33:05.2893019Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.to:0, line 1290 <- wrt source file 2025-08-26T20:33:05.2901411Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.to:0 2025-08-26T20:33:05.2903804Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2229 <- wrt source file 2025-08-26T20:33:05.2906323Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-08-26T20:33:05.2909086Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2670 <- wrt source file 2025-08-26T20:33:05.2911806Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-08-26T20:33:05.2914361Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2698 <- wrt source file 2025-08-26T20:33:05.2917035Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-08-26T20:33:05.2919676Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2725 <- wrt source file 2025-08-26T20:33:05.2922143Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-08-26T20:33:05.2924631Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2752 <- wrt source file 2025-08-26T20:33:05.2927215Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-08-26T20:33:05.2929859Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2783 <- wrt source file 2025-08-26T20:33:05.2932457Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-08-26T20:33:05.2934925Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2807 <- wrt source file 2025-08-26T20:33:05.2937390Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-08-26T20:33:05.2939859Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2845 <- wrt source file 2025-08-26T20:33:05.2942440Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-08-26T20:33:05.2944918Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-08-26T20:33:05.2965761Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-08-26T20:33:05.2969018Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-08-26T20:33:05.2978323Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-08-26T20:33:05.2981212Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-08-26T20:33:05.2988946Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-08-26T20:33:05.2991807Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 367 <- wrt source file 2025-08-26T20:33:05.2996097Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-08-26T20:33:05.2998536Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-08-26T20:33:05.3004310Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-08-26T20:33:05.3006990Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 122 <- wrt source file 2025-08-26T20:33:05.3032177Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-08-26T20:33:05.3034607Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 187 <- wrt source file 2025-08-26T20:33:05.9306342Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-08-26T20:33:05.9661797Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 241 <- wrt source file 2025-08-26T20:33:05.9676307Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-08-26T20:33:05.9678811Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 294 <- wrt source file 2025-08-26T20:33:05.9684221Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-08-26T20:33:05.9686677Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 350 <- wrt source file 2025-08-26T20:33:05.9709979Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-08-26T20:33:05.9712513Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 395 <- wrt source file 2025-08-26T20:33:05.9720269Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-08-26T20:33:05.9722525Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 439 <- wrt source file 2025-08-26T20:33:05.9729559Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-08-26T20:33:05.9731770Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 497 <- wrt source file 2025-08-26T20:33:05.9737169Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-08-26T20:33:05.9739727Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 556 <- wrt source file 2025-08-26T20:33:05.9743754Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-08-26T20:33:05.9746277Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 600 <- wrt source file 2025-08-26T20:33:05.9751837Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-08-26T20:33:05.9754349Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 658 <- wrt source file 2025-08-26T20:33:06.4827708Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-08-26T20:33:06.5161184Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 692 <- wrt source file 2025-08-26T20:33:06.5173641Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-08-26T20:33:06.5175993Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 750 <- wrt source file 2025-08-26T20:33:06.5182214Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-08-26T20:33:06.5184549Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 812 <- wrt source file 2025-08-26T20:33:06.5207707Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-08-26T20:33:06.5210371Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-08-26T20:33:06.5216002Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-08-26T20:33:06.5218582Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-08-26T20:33:06.5223584Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-08-26T20:33:06.5226049Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-08-26T20:33:06.5231248Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-08-26T20:33:06.5233596Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-08-26T20:33:06.5286234Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-08-26T20:33:06.5288677Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-08-26T20:33:06.7566715Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-08-26T20:33:06.7627291Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-08-26T20:33:06.7642726Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-08-26T20:33:06.7645111Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-08-26T20:33:06.7671120Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-08-26T20:33:06.7673511Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-08-26T20:33:06.8428187Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-08-26T20:33:06.8430184Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-08-26T20:33:06.8454569Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-08-26T20:33:06.8456754Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-08-26T20:33:06.8498062Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-08-26T20:33:06.8500451Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-08-26T20:33:07.0146769Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-08-26T20:33:07.0206612Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-08-26T20:33:07.0257284Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-08-26T20:33:07.0259911Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-08-26T20:33:07.0994011Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-08-26T20:33:07.0996163Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1152 <- wrt source file 2025-08-26T20:33:07.1006681Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-08-26T20:33:07.1009333Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1204 <- wrt source file 2025-08-26T20:33:07.1064813Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-08-26T20:33:07.1067776Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1264 <- wrt source file 2025-08-26T20:33:07.3274434Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-08-26T20:33:07.3335338Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1320 <- wrt source file 2025-08-26T20:33:07.3354602Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-08-26T20:33:07.3357209Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1355 <- wrt source file 2025-08-26T20:33:07.3367474Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-08-26T20:33:07.3370119Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1399 <- wrt source file 2025-08-26T20:33:07.3397142Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-08-26T20:33:07.3399737Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1447 <- wrt source file 2025-08-26T20:33:07.3404280Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-08-26T20:33:07.3406867Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1481 <- wrt source file 2025-08-26T20:33:07.3416250Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-08-26T20:33:07.3418828Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1521 <- wrt source file 2025-08-26T20:33:07.3439436Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-08-26T20:33:07.3441787Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/rnn.py::RNN:0, line 595 <- wrt source file 2025-08-26T20:33:07.3454628Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-08-26T20:33:07.3457209Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 953 <- wrt source file 2025-08-26T20:33:07.3884918Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-08-26T20:33:07.3887117Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1288 <- wrt source file 2025-08-26T20:33:07.3906127Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-08-26T20:33:07.3908613Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1537 <- wrt source file 2025-08-26T20:33:07.3922307Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-08-26T20:33:07.3924549Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1659 <- wrt source file 2025-08-26T20:33:07.3937024Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-08-26T20:33:07.3939285Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1773 <- wrt source file 2025-08-26T20:33:07.3953623Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-08-26T20:33:07.3955926Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-08-26T20:33:07.3972146Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-08-26T20:33:07.3974767Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-08-26T20:33:07.3979578Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-08-26T20:33:07.3982118Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 322 <- wrt source file 2025-08-26T20:33:07.3999431Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-08-26T20:33:07.4002006Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 521 <- wrt source file 2025-08-26T20:33:07.4008817Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-08-26T20:33:07.4011622Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 90 <- wrt source file 2025-08-26T20:33:08.2448170Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-08-26T20:33:08.2536142Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 258 <- wrt source file 2025-08-26T20:33:08.2539211Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-08-26T20:33:08.2542103Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 336 <- wrt source file 2025-08-26T20:33:08.3698864Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-08-26T20:33:08.3703608Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 562 <- wrt source file 2025-08-26T20:33:08.6222755Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-08-26T20:33:08.6230808Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 686 <- wrt source file 2025-08-26T20:33:08.6526555Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-08-26T20:33:08.6529721Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 995 <- wrt source file 2025-08-26T20:33:08.7095370Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-08-26T20:33:08.7098241Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-08-26T20:33:08.7130630Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-08-26T20:33:08.7133200Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-08-26T20:33:08.7146842Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-08-26T20:33:08.7149586Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-08-26T20:33:08.7157237Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-08-26T20:33:08.7159778Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 127 <- wrt source file 2025-08-26T20:33:08.7162394Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-08-26T20:33:08.7164942Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 642 <- wrt source file 2025-08-26T20:33:08.7167481Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-08-26T20:33:08.7169864Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1446 <- wrt source file 2025-08-26T20:33:08.7172481Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-08-26T20:33:08.7175272Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1833 <- wrt source file 2025-08-26T20:33:08.7177974Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-08-26T20:33:08.7180638Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1999 <- wrt source file 2025-08-26T20:33:08.7183612Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-08-26T20:33:08.7186650Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2009 <- wrt source file 2025-08-26T20:33:08.7190251Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-08-26T20:33:08.7193315Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2044 <- wrt source file 2025-08-26T20:33:08.7196322Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-08-26T20:33:08.7199475Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2102 <- wrt source file 2025-08-26T20:33:08.7202643Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-08-26T20:33:08.7205453Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-08-26T20:33:08.7208213Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-08-26T20:33:08.7210887Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-08-26T20:33:08.7213138Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/init.py::skip_init:0 2025-08-26T20:33:08.7215627Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file 2025-08-26T20:33:08.7218176Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-08-26T20:33:08.7220083Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 142 <- wrt source file 2025-08-26T20:33:08.7221619Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-08-26T20:33:08.7223020Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file 2025-08-26T20:33:08.7224372Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-08-26T20:33:08.7225683Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 360 <- wrt source file 2025-08-26T20:33:08.7227144Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-08-26T20:33:08.7228473Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 591 <- wrt source file 2025-08-26T20:33:08.7229833Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-08-26T20:33:08.7231053Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::identity:0, line 849 <- wrt source file 2025-08-26T20:33:08.7232219Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::identity:0 2025-08-26T20:33:08.7233451Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 885 <- wrt source file 2025-08-26T20:33:08.7235461Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-08-26T20:33:08.7237846Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 928 <- wrt source file 2025-08-26T20:33:08.7239993Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-08-26T20:33:08.7242040Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::random_structured:0, line 968 <- wrt source file 2025-08-26T20:33:08.7243925Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-08-26T20:33:08.7245350Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1014 <- wrt source file 2025-08-26T20:33:08.7271789Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-08-26T20:33:08.7274240Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1067 <- wrt source file 2025-08-26T20:33:08.7292802Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-08-26T20:33:08.7295115Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1169 <- wrt source file 2025-08-26T20:33:08.7306273Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-08-26T20:33:08.7308481Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::remove:0, line 1197 <- wrt source file 2025-08-26T20:33:08.7315835Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::remove:0 2025-08-26T20:33:08.7317975Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1225 <- wrt source file 2025-08-26T20:33:08.7327739Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-08-26T20:33:08.7330092Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file 2025-08-26T20:33:08.7346609Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-08-26T20:33:08.7348947Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file 2025-08-26T20:33:08.7354001Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-08-26T20:33:08.7356282Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file 2025-08-26T20:33:08.7370655Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-08-26T20:33:08.7372945Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file 2025-08-26T20:33:08.7381011Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-08-26T20:33:08.7383308Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file 2025-08-26T20:33:08.7401196Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-08-26T20:33:08.7403608Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-08-26T20:33:08.7411248Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-08-26T20:33:08.7413830Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 346 <- wrt source file 2025-08-26T20:33:08.7419609Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-08-26T20:33:08.7422345Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 196 <- wrt source file 2025-08-26T20:33:08.7424896Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-08-26T20:33:08.7427315Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-08-26T20:33:08.7433895Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-08-26T20:33:08.7436366Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-08-26T20:33:08.7440736Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-08-26T20:33:08.7443355Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-08-26T20:33:08.7446073Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-08-26T20:33:08.7449169Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file 2025-08-26T20:33:08.7452625Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-08-26T20:33:08.7455447Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 280 <- wrt source file 2025-08-26T20:33:08.7457788Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-08-26T20:33:08.7460191Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 388 <- wrt source file 2025-08-26T20:33:08.7462740Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-08-26T20:33:08.7465077Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 491 <- wrt source file 2025-08-26T20:33:08.7467396Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-08-26T20:33:08.7469716Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 547 <- wrt source file 2025-08-26T20:33:08.7472152Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-08-26T20:33:08.7474519Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 608 <- wrt source file 2025-08-26T20:33:08.7476899Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-08-26T20:33:08.7479455Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 683 <- wrt source file 2025-08-26T20:33:08.7481796Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-08-26T20:33:08.7484163Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 773 <- wrt source file 2025-08-26T20:33:08.7486640Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-08-26T20:33:08.7489210Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 820 <- wrt source file 2025-08-26T20:33:08.7491667Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-08-26T20:33:08.7494055Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 971 <- wrt source file 2025-08-26T20:33:08.7496545Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-08-26T20:33:08.7499023Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1062 <- wrt source file 2025-08-26T20:33:08.7501608Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-08-26T20:33:08.7504124Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1134 <- wrt source file 2025-08-26T20:33:08.7506668Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-08-26T20:33:08.7509068Z * DOCTEST : 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source file 2025-08-26T20:33:08.7621631Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0 2025-08-26T20:33:08.7624365Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 194 <- wrt source file 2025-08-26T20:33:08.7627072Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0 2025-08-26T20:33:08.7629831Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file 2025-08-26T20:33:08.7632739Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0 2025-08-26T20:33:08.7635809Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 331 <- wrt source file 2025-08-26T20:33:08.7639127Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0 2025-08-26T20:33:08.7642387Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file 2025-08-26T20:33:08.7645763Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0 2025-08-26T20:33:08.7648676Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0, line 156 <- wrt source file 2025-08-26T20:33:08.7651223Z * SKIPPED: 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2025-08-26T20:33:08.7668298Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 387 <- wrt source file 2025-08-26T20:33:08.7690314Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-08-26T20:33:08.7692710Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 422 <- wrt source file 2025-08-26T20:33:08.7696220Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-08-26T20:33:08.7698566Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 457 <- wrt source file 2025-08-26T20:33:08.7702605Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-08-26T20:33:08.7704904Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 494 <- wrt source file 2025-08-26T20:33:08.7710597Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-08-26T20:33:08.7712954Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 893 <- wrt source file 2025-08-26T20:33:08.7727625Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-08-26T20:33:08.7730038Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 303 <- wrt source file 2025-08-26T20:33:08.7741040Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-08-26T20:33:08.7743414Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_pytree.py::register_constant:0, line 419 <- wrt source file 2025-08-26T20:33:08.7752314Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_pytree.py::register_constant:0 2025-08-26T20:33:08.7754620Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1026 <- wrt source file 2025-08-26T20:33:08.7760579Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-08-26T20:33:08.7762782Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_pytree.py::tree_map:0, line 1345 <- wrt source file 2025-08-26T20:33:08.7769143Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_pytree.py::tree_map:0 2025-08-26T20:33:08.7771695Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 69 <- wrt source file 2025-08-26T20:33:08.7774617Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-08-26T20:33:08.7777612Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 375 <- wrt source file 2025-08-26T20:33:08.7780775Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0 2025-08-26T20:33:08.7783683Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 410 <- wrt source file 2025-08-26T20:33:08.7786659Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0 2025-08-26T20:33:08.7789318Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 547 <- wrt source file 2025-08-26T20:33:08.7791935Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0 2025-08-26T20:33:08.7795246Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 749 <- wrt source file 2025-08-26T20:33:08.7797943Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-08-26T20:33:08.7800638Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1226 <- wrt source file 2025-08-26T20:33:08.7803405Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-08-26T20:33:08.7806206Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1382 <- wrt source file 2025-08-26T20:33:08.7809255Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-08-26T20:33:08.7812071Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1187 <- wrt source file 2025-08-26T20:33:08.7814541Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-08-26T20:33:08.7816980Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1259 <- wrt source file 2025-08-26T20:33:08.7819458Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-08-26T20:33:08.7821900Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1337 <- wrt source file 2025-08-26T20:33:08.7824379Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-08-26T20:33:08.7826824Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1448 <- wrt source file 2025-08-26T20:33:08.7829308Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/cpp_extension.py::SyclExtension:0 2025-08-26T20:33:08.7831627Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/cpp_extension.py::load:0, line 1684 <- wrt source file 2025-08-26T20:33:08.7833907Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/cpp_extension.py::load:0 2025-08-26T20:33:08.7836210Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/cpp_extension.py::load_inline:0, line 1957 <- wrt source file 2025-08-26T20:33:08.7838621Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/cpp_extension.py::load_inline:0 2025-08-26T20:33:08.7840897Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file 2025-08-26T20:33:08.7843163Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/dlpack.py::from_dlpack:0 2025-08-26T20:33:08.7845809Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 77 <- wrt source file 2025-08-26T20:33:08.7848686Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-08-26T20:33:08.7851453Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 724 <- wrt source file 2025-08-26T20:33:08.8355549Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-08-26T20:33:08.8358520Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-08-26T20:33:08.8365694Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-08-26T20:33:08.8368220Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 219 <- wrt source file 2025-08-26T20:33:08.8370733Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-08-26T20:33:08.8373157Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/dataset.py::random_split:0, line 441 <- wrt source file 2025-08-26T20:33:08.8375503Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/dataset.py::random_split:0 2025-08-26T20:33:08.8378099Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-08-26T20:33:08.8380864Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-08-26T20:33:08.8383411Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/sampler.py::Sampler:0, line 40 <- wrt source file 2025-08-26T20:33:08.8385800Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-08-26T20:33:08.8388338Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 238 <- wrt source file 2025-08-26T20:33:08.8391102Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-08-26T20:33:08.8393653Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 309 <- wrt source file 2025-08-26T20:33:08.8396141Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-08-26T20:33:08.8398657Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-08-26T20:33:08.8401314Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-08-26T20:33:08.8403817Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-08-26T20:33:08.8406297Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-08-26T20:33:08.8408911Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 364 <- wrt source file 2025-08-26T20:33:08.8411684Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-08-26T20:33:08.8414628Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file 2025-08-26T20:33:08.8417393Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-08-26T20:33:08.8420099Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 268 <- wrt source file 2025-08-26T20:33:08.8422868Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-08-26T20:33:08.8425853Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file 2025-08-26T20:33:08.8428933Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-08-26T20:33:08.8431986Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 201 <- wrt source file 2025-08-26T20:33:08.8435070Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-08-26T20:33:08.8438166Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file 2025-08-26T20:33:08.8441370Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-08-26T20:33:08.8444345Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-08-26T20:33:08.8450112Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0 2025-08-26T20:33:08.8453162Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 88 <- wrt source file 2025-08-26T20:33:08.8456242Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0 2025-08-26T20:33:08.8459152Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 304 <- wrt source file 2025-08-26T20:33:08.8462117Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0 2025-08-26T20:33:08.8465181Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 390 <- wrt source file 2025-08-26T20:33:08.8468430Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-08-26T20:33:08.8471580Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 604 <- wrt source file 2025-08-26T20:33:08.8474773Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-08-26T20:33:08.8477904Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 674 <- wrt source file 2025-08-26T20:33:08.8480978Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-08-26T20:33:08.8484251Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 30 <- wrt source file 2025-08-26T20:33:08.8487489Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-08-26T20:33:08.8490707Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 35 <- wrt source file 2025-08-26T20:33:08.8494045Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-08-26T20:33:08.8497109Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 53 <- wrt source file 2025-08-26T20:33:08.8500183Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0 2025-08-26T20:33:08.8503208Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 113 <- wrt source file 2025-08-26T20:33:08.8506328Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0 2025-08-26T20:33:08.8509353Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 180 <- wrt source file 2025-08-26T20:33:08.8512590Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0 2025-08-26T20:33:08.8515591Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file 2025-08-26T20:33:08.8518671Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-08-26T20:33:08.8521789Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 25 <- wrt source file 2025-08-26T20:33:08.8525056Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-08-26T20:33:08.8528287Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file 2025-08-26T20:33:08.8531466Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-08-26T20:33:08.8534478Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 35 <- wrt source file 2025-08-26T20:33:08.8537454Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-08-26T20:33:08.8540489Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-08-26T20:33:08.8543671Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-08-26T20:33:08.8546707Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-08-26T20:33:08.8549956Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0 2025-08-26T20:33:08.8552921Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 73 <- wrt source file 2025-08-26T20:33:08.8555936Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0 2025-08-26T20:33:08.8558880Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file 2025-08-26T20:33:08.8561977Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0 2025-08-26T20:33:08.8564965Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 29 <- wrt source file 2025-08-26T20:33:08.8568151Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-08-26T20:33:08.8571143Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file 2025-08-26T20:33:08.8574090Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-08-26T20:33:08.8576971Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2025-08-26T20:33:08.8579858Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-08-26T20:33:08.8582590Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-08-26T20:33:08.8585335Z * SUCCESS: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-08-26T20:33:08.8588056Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-08-26T20:33:08.8590875Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-08-26T20:33:08.8593638Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 216 <- wrt source file 2025-08-26T20:33:08.8596446Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-08-26T20:33:08.8599264Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 314 <- wrt source file 2025-08-26T20:33:08.8602144Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-08-26T20:33:08.8604960Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 362 <- wrt source file 2025-08-26T20:33:08.8607870Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-08-26T20:33:08.8610835Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 394 <- wrt source file 2025-08-26T20:33:08.8613729Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-08-26T20:33:08.8616757Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 441 <- wrt source file 2025-08-26T20:33:08.8619610Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-08-26T20:33:08.8622469Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 480 <- wrt source file 2025-08-26T20:33:08.8625521Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-08-26T20:33:08.8628451Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 533 <- wrt source file 2025-08-26T20:33:08.8631459Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2025-08-26T20:33:08.8634343Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 599 <- wrt source file 2025-08-26T20:33:08.8637175Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2025-08-26T20:33:08.8640384Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 648 <- wrt source file 2025-08-26T20:33:08.8643249Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2025-08-26T20:33:08.8646043Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 811 <- wrt source file 2025-08-26T20:33:08.8648924Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-08-26T20:33:08.8651746Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 878 <- wrt source file 2025-08-26T20:33:08.8654685Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-08-26T20:33:08.8657529Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 989 <- wrt source file 2025-08-26T20:33:08.8660424Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-08-26T20:33:08.8663533Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1063 <- wrt source file 2025-08-26T20:33:08.8666870Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-08-26T20:33:08.8670131Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1084 <- wrt source file 2025-08-26T20:33:08.8673418Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-08-26T20:33:08.8676491Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1108 <- wrt source file 2025-08-26T20:33:08.8679641Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-08-26T20:33:08.8682526Z * DOCTEST : /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1154 <- wrt source file 2025-08-26T20:33:08.8685352Z * SKIPPED: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-08-26T20:33:08.8686795Z ============ 2025-08-26T20:33:08.8687278Z Finished doctests 2025-08-26T20:33:08.8687743Z 374 / 862 passed 2025-08-26T20:33:08.8688174Z  2025-08-26T20:33:08.8688794Z === Found 17 parse-time warnings === 2025-08-26T20:33:08.8689545Z --- Parse Warning: 1 / 17 --- 2025-08-26T20:33:08.8691647Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py line=375. 2025-08-26T20:33:08.8694024Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.8695190Z Registers the function implementation as the fallback for the given key. 2025-08-26T20:33:08.8696030Z 2025-08-26T20:33:08.8696616Z This function only works for a library with global namespace ("_"). 2025-08-26T20:33:08.8697409Z 2025-08-26T20:33:08.8697754Z Args: 2025-08-26T20:33:08.8698522Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-08-26T20:33:08.8699485Z to register a fallthrough. 2025-08-26T20:33:08.8700541Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-08-26T20:33:08.8701709Z the dispatch key that the library was created with. 2025-08-26T20:33:08.8702978Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-08-26T20:33:08.8704552Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-08-26T20:33:08.8705543Z 2025-08-26T20:33:08.8705907Z Example:: 2025-08-26T20:33:08.8706325Z 2025-08-26T20:33:08.8706732Z >>> my_lib = Library("_", "IMPL") 2025-08-26T20:33:08.8707374Z >>> def fallback_kernel(op, *args, **kwargs): 2025-08-26T20:33:08.8708071Z >>> # Handle all autocast ops generically 2025-08-26T20:33:08.8708690Z >>> # ... 2025-08-26T20:33:08.8709266Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-08-26T20:33:08.8709888Z 2025-08-26T20:33:08.8711204Z Original Error: IndentationError('expected an indented block', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n')) 2025-08-26T20:33:08.8712524Z 2025-08-26T20:33:08.8712960Z my_lib.fallback(fallback_kernel, "Autocast") 2025-08-26T20:33:08.8713569Z ^ 2025-08-26T20:33:08.8713934Z warnings.warn(msg) 2025-08-26T20:33:08.8714389Z 2025-08-26T20:33:08.8714938Z --- Parse Warning: 2 / 17 --- 2025-08-26T20:33:08.8717015Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py line=948. 2025-08-26T20:33:08.8719334Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.8720479Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-08-26T20:33:08.8721305Z 2025-08-26T20:33:08.8721824Z Also sometimes known as a "meta kernel", "abstract impl". 2025-08-26T20:33:08.8722516Z 2025-08-26T20:33:08.8723169Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-08-26T20:33:08.8724505Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-08-26T20:33:08.8725609Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-08-26T20:33:08.8726557Z what the properties of the output Tensors are. 2025-08-26T20:33:08.8727165Z 2025-08-26T20:33:08.8727867Z The FakeTensor implementation has the same signature as the operator. 2025-08-26T20:33:08.8728933Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-08-26T20:33:08.8729961Z implementation, assume that all Tensor inputs to the operator are 2025-08-26T20:33:08.8731084Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-08-26T20:33:08.8732080Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-08-26T20:33:08.8733131Z The FakeTensor implementation must consist of only PyTorch operations 2025-08-26T20:33:08.8734166Z (and may not directly access the storage or data of any input or 2025-08-26T20:33:08.8734925Z intermediate Tensors). 2025-08-26T20:33:08.8735411Z 2025-08-26T20:33:08.8735882Z This API may be used as a decorator (see examples). 2025-08-26T20:33:08.8736523Z 2025-08-26T20:33:08.8736948Z For a detailed guide on custom ops, please see 2025-08-26T20:33:08.8737866Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-08-26T20:33:08.8738683Z 2025-08-26T20:33:08.8739029Z Args: 2025-08-26T20:33:08.8739653Z op_name: Operator name (along with the overload) or OpOverload object. 2025-08-26T20:33:08.8740519Z func: Fake tensor implementation. 2025-08-26T20:33:08.8741322Z lib (Optional[Library]): Library to register the fake tensor to. 2025-08-26T20:33:08.8742263Z allow_override: Flag controlling if we want to override an 2025-08-26T20:33:08.8743157Z existing registered fake impl. This is by default off, 2025-08-26T20:33:08.8744031Z and will error you're trying to register a fake impl to 2025-08-26T20:33:08.8744913Z an operator that already has a fake impl. This also only 2025-08-26T20:33:08.8745774Z applies if the custom operator was not created via 2025-08-26T20:33:08.8746660Z torch.library.custom_op, as overriding and existing fake 2025-08-26T20:33:08.8747445Z impl is already allowed. 2025-08-26T20:33:08.8748023Z 2025-08-26T20:33:08.8748378Z Examples: 2025-08-26T20:33:08.8748796Z >>> import torch 2025-08-26T20:33:08.8749281Z >>> import numpy as np 2025-08-26T20:33:08.8749842Z >>> from torch import Tensor 2025-08-26T20:33:08.8750392Z >>> 2025-08-26T20:33:08.8750972Z >>> # Example 1: an operator without data-dependent output shape 2025-08-26T20:33:08.8751964Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-08-26T20:33:08.8752994Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-26T20:33:08.8753976Z >>> raise NotImplementedError("Implementation goes here") 2025-08-26T20:33:08.8754691Z >>> 2025-08-26T20:33:08.8755229Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-08-26T20:33:08.8755933Z >>> def _(x, weight, bias): 2025-08-26T20:33:08.8756497Z >>> assert x.dim() == 2 2025-08-26T20:33:08.8757076Z >>> assert weight.dim() == 2 2025-08-26T20:33:08.8757669Z >>> assert bias.dim() == 1 2025-08-26T20:33:08.8758288Z >>> assert x.shape[1] == weight.shape[1] 2025-08-26T20:33:08.8758963Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-26T20:33:08.8759628Z >>> assert x.device == weight.device 2025-08-26T20:33:08.8760336Z >>> 2025-08-26T20:33:08.8760757Z >>> return (x @ weight.t()) + bias 2025-08-26T20:33:08.8761333Z >>> 2025-08-26T20:33:08.8761878Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-08-26T20:33:08.8762602Z >>> x = torch.randn(2, 3) 2025-08-26T20:33:08.8763164Z >>> w = torch.randn(3, 3) 2025-08-26T20:33:08.8763731Z >>> b = torch.randn(3) 2025-08-26T20:33:08.8764346Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-08-26T20:33:08.8764969Z >>> 2025-08-26T20:33:08.8765370Z >>> assert y.shape == (2, 3) 2025-08-26T20:33:08.8765912Z >>> 2025-08-26T20:33:08.8766542Z >>> # Example 2: an operator with data-dependent output shape 2025-08-26T20:33:08.8767511Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-08-26T20:33:08.8768468Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-08-26T20:33:08.8769111Z >>> x_np = x.numpy(force=True) 2025-08-26T20:33:08.8769755Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-26T20:33:08.8770457Z >>> return torch.tensor(res, device=x.device) 2025-08-26T20:33:08.8771084Z >>> 2025-08-26T20:33:08.8771611Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-08-26T20:33:08.8772320Z >>> def _(x): 2025-08-26T20:33:08.8772883Z >>> # Number of nonzero-elements is data-dependent. 2025-08-26T20:33:08.8773656Z >>> # Since we cannot peek at the data in an fake impl, 2025-08-26T20:33:08.8774432Z >>> # we use the ctx object to construct a new symint that 2025-08-26T20:33:08.8775188Z >>> # represents the data-dependent size. 2025-08-26T20:33:08.8775851Z >>> ctx = torch.library.get_ctx() 2025-08-26T20:33:08.8776487Z >>> nnz = ctx.new_dynamic_size() 2025-08-26T20:33:08.8777096Z >>> shape = [nnz, x.dim()] 2025-08-26T20:33:08.8777752Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-26T20:33:08.8778425Z >>> return result 2025-08-26T20:33:08.8778923Z >>> 2025-08-26T20:33:08.8779488Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-08-26T20:33:08.8780186Z >>> 2025-08-26T20:33:08.8780626Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-08-26T20:33:08.8781506Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-08-26T20:33:08.8782402Z >>> trace.print_readable() 2025-08-26T20:33:08.8782932Z >>> 2025-08-26T20:33:08.8783586Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-08-26T20:33:08.8784396Z 2025-08-26T20:33:08.8784745Z 2025-08-26T20:33:08.8785632Z Original Error: IndentationError('expected an indented block', ('', 38, 1, '_._ = None\n')) 2025-08-26T20:33:08.8786724Z 2025-08-26T20:33:08.8787069Z _._ = None 2025-08-26T20:33:08.8787448Z ^ 2025-08-26T20:33:08.8787808Z warnings.warn(msg) 2025-08-26T20:33:08.8788262Z 2025-08-26T20:33:08.8788861Z --- Parse Warning: 3 / 17 --- 2025-08-26T20:33:08.8790920Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py line=1482. 2025-08-26T20:33:08.8793223Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.8794321Z Returns the computed kernel for a given operator and dispatch key. 2025-08-26T20:33:08.8795093Z 2025-08-26T20:33:08.8795713Z This function retrieves the kernel that would be executed for a given 2025-08-26T20:33:08.8796813Z operator and dispatch key combination. The returned SafeKernelFunction 2025-08-26T20:33:08.8797835Z can be used to call the kernel in a boxed fashion. The intended use 2025-08-26T20:33:08.8798974Z case for this function is to retrieve the original kernel for a given 2025-08-26T20:33:08.8800019Z dispatch key and then register another kernel to the same dispatch key 2025-08-26T20:33:08.8800977Z that calls into the original kernel for certain cases. 2025-08-26T20:33:08.8801646Z 2025-08-26T20:33:08.8801991Z Args: 2025-08-26T20:33:08.8802580Z op: Operator name (along with the overload) or OpOverload object 2025-08-26T20:33:08.8803603Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-08-26T20:33:08.8804739Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-08-26T20:33:08.8805877Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-08-26T20:33:08.8806619Z 2025-08-26T20:33:08.8806968Z Returns: 2025-08-26T20:33:08.8807723Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-08-26T20:33:08.8808580Z call the kernel. 2025-08-26T20:33:08.8809073Z 2025-08-26T20:33:08.8809419Z Raises: 2025-08-26T20:33:08.8809910Z RuntimeError: If the operator does not exist. 2025-08-26T20:33:08.8810712Z 2025-08-26T20:33:08.8811059Z Example: 2025-08-26T20:33:08.8811515Z >>> # Get the CPU kernel for torch.add 2025-08-26T20:33:08.8812308Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-08-26T20:33:08.8813043Z >>> 2025-08-26T20:33:08.8813492Z >>> # You can also use DispatchKey enum 2025-08-26T20:33:08.8814422Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-08-26T20:33:08.8815294Z >>> 2025-08-26T20:33:08.8815718Z >>> # Or use an OpOverload directly 2025-08-26T20:33:08.8816556Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-08-26T20:33:08.8817374Z >>> 2025-08-26T20:33:08.8818002Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-08-26T20:33:08.8818856Z >>> # Get the original kernel for torch.sin 2025-08-26T20:33:08.8819711Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-08-26T20:33:08.8820506Z >>> 2025-08-26T20:33:08.8821162Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-08-26T20:33:08.8822088Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-08-26T20:33:08.8822728Z >>> if (x < 0).any(): 2025-08-26T20:33:08.8823430Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-08-26T20:33:08.8824163Z >>> else: 2025-08-26T20:33:08.8824671Z >>> return torch.zeros_like(x) 2025-08-26T20:33:08.8825235Z >>> 2025-08-26T20:33:08.8825704Z >>> lib = torch.library.Library("aten", "IMPL") 2025-08-26T20:33:08.8826667Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-08-26T20:33:08.8827746Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-08-26T20:33:08.8828661Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-08-26T20:33:08.8829394Z >>> 2025-08-26T20:33:08.8829821Z >>> # Test the conditional behavior 2025-08-26T20:33:08.8830463Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-08-26T20:33:08.8831091Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-08-26T20:33:08.8831705Z >>> torch.sin(x_positive) 2025-08-26T20:33:08.8832255Z tensor([0., 0.]) 2025-08-26T20:33:08.8832754Z >>> torch.sin(x_mixed) 2025-08-26T20:33:08.8833271Z tensor([-0.8415, 0.9093]) 2025-08-26T20:33:08.8833790Z 2025-08-26T20:33:08.8834881Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n')) 2025-08-26T20:33:08.8836151Z 2025-08-26T20:33:08.8836667Z which needs to be the first argument to ``kernel.call_boxed`` 2025-08-26T20:33:08.8837348Z ^ 2025-08-26T20:33:08.8837728Z warnings.warn(msg) 2025-08-26T20:33:08.8838164Z 2025-08-26T20:33:08.8838764Z --- Parse Warning: 4 / 17 --- 2025-08-26T20:33:08.8840879Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/accelerator/__init__.py line=66. 2025-08-26T20:33:08.8843377Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.8844561Z Check if the current accelerator is available at runtime: it was build, all the 2025-08-26T20:33:08.8845681Z required drivers are available and at least one device is visible. 2025-08-26T20:33:08.8846589Z See :ref:`accelerator` for details. 2025-08-26T20:33:08.8847222Z 2025-08-26T20:33:08.8847659Z Returns: 2025-08-26T20:33:08.8848429Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-08-26T20:33:08.8849344Z 2025-08-26T20:33:08.8849980Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-08-26T20:33:08.8851173Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-08-26T20:33:08.8852385Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-08-26T20:33:08.8853361Z :ref:`multiprocessing-poison-fork-note`. 2025-08-26T20:33:08.8853970Z 2025-08-26T20:33:08.8854327Z Example:: 2025-08-26T20:33:08.8854719Z 2025-08-26T20:33:08.8855427Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T20:33:08.8856317Z 2025-08-26T20:33:08.8857558Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n')) 2025-08-26T20:33:08.8858982Z 2025-08-26T20:33:08.8859665Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T20:33:08.8860572Z ^ 2025-08-26T20:33:08.8861130Z warnings.warn(msg) 2025-08-26T20:33:08.8861584Z 2025-08-26T20:33:08.8862115Z --- Parse Warning: 5 / 17 --- 2025-08-26T20:33:08.8864296Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/accelerator/__init__.py line=212. 2025-08-26T20:33:08.8866729Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.8867826Z Wait for all kernels in all streams on the given device to complete. 2025-08-26T20:33:08.8868604Z 2025-08-26T20:33:08.8868943Z Args: 2025-08-26T20:33:08.8869747Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-08-26T20:33:08.8871010Z the current :ref:`accelerator` device type. If not given, 2025-08-26T20:33:08.8872043Z use :func:`torch.accelerator.current_device_index` by default. 2025-08-26T20:33:08.8872785Z 2025-08-26T20:33:08.8873562Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-08-26T20:33:08.8874520Z 2025-08-26T20:33:08.8874866Z Example:: 2025-08-26T20:33:08.8875256Z 2025-08-26T20:33:08.8875700Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T20:33:08.8876666Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T20:33:08.8877777Z >>> start_event = torch.Event(enable_timing=True) 2025-08-26T20:33:08.8878502Z >>> end_event = torch.Event(enable_timing=True) 2025-08-26T20:33:08.8879150Z >>> start_event.record() 2025-08-26T20:33:08.8879953Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-08-26T20:33:08.8880833Z >>> sum = torch.sum(tensor) 2025-08-26T20:33:08.8881399Z >>> end_event.record() 2025-08-26T20:33:08.8881975Z >>> torch.accelerator.synchronize() 2025-08-26T20:33:08.8882712Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-08-26T20:33:08.8883399Z 2025-08-26T20:33:08.8884728Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n')) 2025-08-26T20:33:08.8886156Z 2025-08-26T20:33:08.8886834Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T20:33:08.8887801Z ^ 2025-08-26T20:33:08.8888366Z warnings.warn(msg) 2025-08-26T20:33:08.8888818Z 2025-08-26T20:33:08.8889358Z --- Parse Warning: 6 / 17 --- 2025-08-26T20:33:08.8891405Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py line=434. 2025-08-26T20:33:08.8893738Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.8894656Z Retrieves the CUDA runtime API module. 2025-08-26T20:33:08.8895225Z 2025-08-26T20:33:08.8895551Z 2025-08-26T20:33:08.8896228Z This function initializes the CUDA runtime environment if it is not already 2025-08-26T20:33:08.8897383Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-08-26T20:33:08.8898484Z runtime API module provides access to various CUDA runtime functions. 2025-08-26T20:33:08.8899297Z 2025-08-26T20:33:08.8899621Z Args: 2025-08-26T20:33:08.8900003Z ``None`` 2025-08-26T20:33:08.8900406Z 2025-08-26T20:33:08.8900737Z Returns: 2025-08-26T20:33:08.8901241Z module: The CUDA runtime API module (_cudart). 2025-08-26T20:33:08.8901870Z 2025-08-26T20:33:08.8902211Z Raises: 2025-08-26T20:33:08.8902866Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-08-26T20:33:08.8904226Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-08-26T20:33:08.8905308Z 2025-08-26T20:33:08.8905733Z Example of CUDA operations with profiling: 2025-08-26T20:33:08.8906366Z >>> import torch 2025-08-26T20:33:08.8906911Z >>> from torch.cuda import cudart, check_error 2025-08-26T20:33:08.8907536Z >>> import os 2025-08-26T20:33:08.8907974Z >>> 2025-08-26T20:33:08.8908412Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-08-26T20:33:08.8908976Z >>> 2025-08-26T20:33:08.8909451Z >>> def perform_cuda_operations_with_streams(): 2025-08-26T20:33:08.8910279Z >>> stream = torch.cuda.Stream() 2025-08-26T20:33:08.8910921Z >>> with torch.cuda.stream(stream): 2025-08-26T20:33:08.8911573Z >>> x = torch.randn(100, 100, device='cuda') 2025-08-26T20:33:08.8912249Z >>> y = torch.randn(100, 100, device='cuda') 2025-08-26T20:33:08.8912881Z >>> z = torch.mul(x, y) 2025-08-26T20:33:08.8913442Z >>> return z 2025-08-26T20:33:08.8913892Z >>> 2025-08-26T20:33:08.8914315Z >>> torch.cuda.synchronize() 2025-08-26T20:33:08.8914968Z >>> print("====== Start nsys profiling ======") 2025-08-26T20:33:08.8915678Z >>> check_error(cudart().cudaProfilerStart()) 2025-08-26T20:33:08.8916383Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-08-26T20:33:08.8917297Z >>> result = perform_cuda_operations_with_streams() 2025-08-26T20:33:08.8918034Z >>> print("CUDA operations completed.") 2025-08-26T20:33:08.8918787Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-08-26T20:33:08.8919532Z >>> print("====== End nsys profiling ======") 2025-08-26T20:33:08.8920139Z 2025-08-26T20:33:08.8920694Z To run this example and save the profiling information, execute: 2025-08-26T20:33:08.8921979Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-26T20:33:08.8923034Z 2025-08-26T20:33:08.8939362Z This command profiles the CUDA operations in the provided script and saves 2025-08-26T20:33:08.8940466Z the profiling information to a file named `trace_name.prof`. 2025-08-26T20:33:08.8941495Z The `--profile-from-start off` option ensures that profiling starts only 2025-08-26T20:33:08.8942460Z after the `cudaProfilerStart` call in the script. 2025-08-26T20:33:08.8943372Z The `--csv` and `--print-summary` options format the profiling output as a 2025-08-26T20:33:08.8944271Z CSV file and print a summary, respectively. 2025-08-26T20:33:08.8945184Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-08-26T20:33:08.8946177Z overwrite of the output file if it already exists. 2025-08-26T20:33:08.8946831Z 2025-08-26T20:33:08.8948273Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n')) 2025-08-26T20:33:08.8949870Z 2025-08-26T20:33:08.8950727Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-26T20:33:08.8951777Z ^ 2025-08-26T20:33:08.8952150Z warnings.warn(msg) 2025-08-26T20:33:08.8952608Z 2025-08-26T20:33:08.8953183Z --- Parse Warning: 7 / 17 --- 2025-08-26T20:33:08.8955250Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py line=39. 2025-08-26T20:33:08.8957579Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.8958434Z 2025-08-26T20:33:08.8959043Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-08-26T20:33:08.8960044Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-08-26T20:33:08.8961054Z pushes the map into PyTorch operations called by ``func``, effectively 2025-08-26T20:33:08.8961903Z vectorizing those operations. 2025-08-26T20:33:08.8962424Z 2025-08-26T20:33:08.8963006Z vmap is useful for handling batch dimensions: one can write a function 2025-08-26T20:33:08.8964015Z ``func`` that runs on examples and then lift it to a function that can 2025-08-26T20:33:08.8965024Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-08-26T20:33:08.8965983Z compute batched gradients when composed with autograd. 2025-08-26T20:33:08.8966657Z 2025-08-26T20:33:08.8967020Z .. note:: 2025-08-26T20:33:08.8967657Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-08-26T20:33:08.8968459Z convenience. Use whichever one you'd like. 2025-08-26T20:33:08.8969049Z 2025-08-26T20:33:08.8969393Z Args: 2025-08-26T20:33:08.8969990Z func (function): A Python function that takes one or more arguments. 2025-08-26T20:33:08.8970820Z Must return one or more Tensors. 2025-08-26T20:33:08.8971594Z in_dims (int or nested structure): Specifies which dimension of the 2025-08-26T20:33:08.8972517Z inputs should be mapped over. ``in_dims`` should have a 2025-08-26T20:33:08.8973411Z structure like the inputs. If the ``in_dim`` for a particular 2025-08-26T20:33:08.8974477Z input is None, then that indicates there is no map dimension. 2025-08-26T20:33:08.8975224Z Default: 0. 2025-08-26T20:33:08.8975844Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-08-26T20:33:08.8976803Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-08-26T20:33:08.8977678Z it should have one element per output. Default: 0. 2025-08-26T20:33:08.8978535Z randomness (str): Specifies whether the randomness in this 2025-08-26T20:33:08.8979483Z vmap should be the same or different across batches. If 'different', 2025-08-26T20:33:08.8980556Z the randomness for each batch will be different. If 'same', the 2025-08-26T20:33:08.8981579Z randomness will be the same across batches. If 'error', any calls to 2025-08-26T20:33:08.8982618Z random functions will error. Default: 'error'. WARNING: this flag 2025-08-26T20:33:08.8983639Z only applies to random PyTorch operations and does not apply to 2025-08-26T20:33:08.8984485Z Python's random module or numpy randomness. 2025-08-26T20:33:08.8985380Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-08-26T20:33:08.8986460Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-08-26T20:33:08.8987602Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-08-26T20:33:08.8988821Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-08-26T20:33:08.8989721Z 2025-08-26T20:33:08.8990073Z Returns: 2025-08-26T20:33:08.8990647Z Returns a new "batched" function. It takes the same inputs as 2025-08-26T20:33:08.8991545Z ``func``, except each input has an extra dimension at the index 2025-08-26T20:33:08.8992469Z specified by ``in_dims``. It takes returns the same outputs as 2025-08-26T20:33:08.8993402Z ``func``, except each output has an extra dimension at the index 2025-08-26T20:33:08.8994170Z specified by ``out_dims``. 2025-08-26T20:33:08.8994689Z 2025-08-26T20:33:08.8995030Z .. warning: 2025-08-26T20:33:08.8995642Z :func:`vmap` works best with functional-style code. Please do not 2025-08-26T20:33:08.8996581Z perform any side-effects in ``func``, with the exception of 2025-08-26T20:33:08.8997600Z in-place PyTorch operations. Examples of side-effects include mutating 2025-08-26T20:33:08.8998692Z Python data structures and assigning values to variables not captured 2025-08-26T20:33:08.8999513Z in ``func``. 2025-08-26T20:33:08.8999914Z 2025-08-26T20:33:08.9000548Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-08-26T20:33:08.9001617Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-08-26T20:33:08.9002672Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-08-26T20:33:08.9003462Z 2025-08-26T20:33:08.9003836Z >>> torch.dot # [D], [D] -> [] 2025-08-26T20:33:08.9004584Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-08-26T20:33:08.9005417Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-26T20:33:08.9006040Z >>> batched_dot(x, y) 2025-08-26T20:33:08.9006512Z 2025-08-26T20:33:08.9007125Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-08-26T20:33:08.9008052Z model authoring experience. 2025-08-26T20:33:08.9008552Z 2025-08-26T20:33:08.9008948Z >>> batch_size, feature_size = 3, 5 2025-08-26T20:33:08.9009666Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-26T20:33:08.9010532Z >>> 2025-08-26T20:33:08.9010929Z >>> def model(feature_vec): 2025-08-26T20:33:08.9011533Z >>> # Very simple linear model with activation 2025-08-26T20:33:08.9012372Z >>> return feature_vec.dot(weights).relu() 2025-08-26T20:33:08.9012957Z >>> 2025-08-26T20:33:08.9013440Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-26T20:33:08.9014157Z >>> result = torch.vmap(model)(examples) 2025-08-26T20:33:08.9014742Z 2025-08-26T20:33:08.9015395Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-08-26T20:33:08.9016553Z or impossible to batch. One example is higher-order gradient computation. 2025-08-26T20:33:08.9017664Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-08-26T20:33:08.9018762Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-08-26T20:33:08.9019994Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-08-26T20:33:08.9021146Z we can vectorize the whole computation, computing the Jacobian in a single 2025-08-26T20:33:08.9022023Z call to ``autograd.grad``. 2025-08-26T20:33:08.9022520Z 2025-08-26T20:33:08.9022856Z >>> # Setup 2025-08-26T20:33:08.9023261Z >>> N = 5 2025-08-26T20:33:08.9023673Z >>> f = lambda x: x**2 2025-08-26T20:33:08.9024229Z >>> x = torch.randn(N, requires_grad=True) 2025-08-26T20:33:08.9024806Z >>> y = f(x) 2025-08-26T20:33:08.9025237Z >>> I_N = torch.eye(N) 2025-08-26T20:33:08.9025710Z >>> 2025-08-26T20:33:08.9026103Z >>> # Sequential approach 2025-08-26T20:33:08.9026845Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-08-26T20:33:08.9027681Z >>> for v in I_N.unbind()] 2025-08-26T20:33:08.9028317Z >>> jacobian = torch.stack(jacobian_rows) 2025-08-26T20:33:08.9028919Z >>> 2025-08-26T20:33:08.9029332Z >>> # vectorized gradient computation 2025-08-26T20:33:08.9029922Z >>> def get_vjp(v): 2025-08-26T20:33:08.9030461Z >>> return torch.autograd.grad(y, x, v) 2025-08-26T20:33:08.9031126Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-08-26T20:33:08.9031704Z 2025-08-26T20:33:08.9032391Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-08-26T20:33:08.9033255Z 2025-08-26T20:33:08.9033635Z >>> torch.dot # [D], [D] -> [] 2025-08-26T20:33:08.9034210Z >>> batched_dot = torch.vmap( 2025-08-26T20:33:08.9034786Z ... torch.vmap(torch.dot) 2025-08-26T20:33:08.9035353Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-08-26T20:33:08.9036022Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-08-26T20:33:08.9036711Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-08-26T20:33:08.9037296Z 2025-08-26T20:33:08.9037922Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-08-26T20:33:08.9038889Z the dimension that each inputs are batched along as 2025-08-26T20:33:08.9039530Z 2025-08-26T20:33:08.9039898Z >>> torch.dot # [N], [N] -> [] 2025-08-26T20:33:08.9040685Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-08-26T20:33:08.9041561Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-26T20:33:08.9042164Z >>> batched_dot( 2025-08-26T20:33:08.9042602Z ... x, y 2025-08-26T20:33:08.9043189Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-08-26T20:33:08.9043920Z 2025-08-26T20:33:08.9044605Z If there are multiple inputs each of which is batched along different dimensions, 2025-08-26T20:33:08.9045701Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-08-26T20:33:08.9046440Z 2025-08-26T20:33:08.9046817Z >>> torch.dot # [D], [D] -> [] 2025-08-26T20:33:08.9047756Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-08-26T20:33:08.9048654Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-26T20:33:08.9049327Z >>> batched_dot( 2025-08-26T20:33:08.9049770Z ... x, y 2025-08-26T20:33:08.9050383Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-08-26T20:33:08.9051120Z 2025-08-26T20:33:08.9051746Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-08-26T20:33:08.9052632Z matching the shape of the input: 2025-08-26T20:33:08.9053160Z 2025-08-26T20:33:08.9053602Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-08-26T20:33:08.9054285Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-26T20:33:08.9054886Z >>> input = {"x": x, "y": y} 2025-08-26T20:33:08.9055577Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-08-26T20:33:08.9056377Z >>> batched_dot(input) 2025-08-26T20:33:08.9056856Z 2025-08-26T20:33:08.9057546Z By default, the output is batched along the first dimension. However, it can be batched 2025-08-26T20:33:08.9058536Z along any dimension by using ``out_dims`` 2025-08-26T20:33:08.9059118Z 2025-08-26T20:33:08.9059487Z >>> f = lambda x: x**2 2025-08-26T20:33:08.9059976Z >>> x = torch.randn(2, 5) 2025-08-26T20:33:08.9060555Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-08-26T20:33:08.9061173Z >>> batched_pow(x) # [5, 2] 2025-08-26T20:33:08.9061690Z 2025-08-26T20:33:08.9062428Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-08-26T20:33:08.9063385Z accept kwargs 2025-08-26T20:33:08.9063780Z 2025-08-26T20:33:08.9064148Z >>> x = torch.randn([2, 5]) 2025-08-26T20:33:08.9064668Z >>> def fn(x, scale=4.): 2025-08-26T20:33:08.9065176Z >>> return x * scale 2025-08-26T20:33:08.9065648Z >>> 2025-08-26T20:33:08.9066055Z >>> batched_pow = torch.vmap(fn) 2025-08-26T20:33:08.9066688Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-08-26T20:33:08.9067576Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-08-26T20:33:08.9068380Z 2025-08-26T20:33:08.9068732Z .. note:: 2025-08-26T20:33:08.9069350Z vmap does not provide general autobatching or handle variable-length 2025-08-26T20:33:08.9070180Z sequences out of the box. 2025-08-26T20:33:08.9070682Z 2025-08-26T20:33:08.9071557Z Original Error: IndentationError('expected an indented block', ('', 5, 1, '_._ = None\n')) 2025-08-26T20:33:08.9072611Z 2025-08-26T20:33:08.9072945Z _._ = None 2025-08-26T20:33:08.9073320Z ^ 2025-08-26T20:33:08.9073691Z warnings.warn(msg) 2025-08-26T20:33:08.9074126Z 2025-08-26T20:33:08.9074720Z --- Parse Warning: 8 / 17 --- 2025-08-26T20:33:08.9076798Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py line=306. 2025-08-26T20:33:08.9079137Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.9080270Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-08-26T20:33:08.9081317Z input(s) specified by ``argnums``. This operator can be nested to 2025-08-26T20:33:08.9082124Z compute higher-order gradients. 2025-08-26T20:33:08.9082669Z 2025-08-26T20:33:08.9083008Z Args: 2025-08-26T20:33:08.9083605Z func (Callable): A Python function that takes one or more arguments. 2025-08-26T20:33:08.9084735Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-08-26T20:33:08.9085976Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-08-26T20:33:08.9086902Z ``(output, aux)``. 2025-08-26T20:33:08.9087854Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-08-26T20:33:08.9089101Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-08-26T20:33:08.9090131Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-08-26T20:33:08.9091076Z auxiliary objects: ``(output, aux)``. Default: False. 2025-08-26T20:33:08.9091752Z 2025-08-26T20:33:08.9092079Z Returns: 2025-08-26T20:33:08.9092866Z Function to compute gradients with respect to its inputs. By default, the output of 2025-08-26T20:33:08.9094090Z the function is the gradient tensor(s) with respect to the first argument. 2025-08-26T20:33:08.9095290Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-08-26T20:33:08.9096604Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-08-26T20:33:08.9097565Z respect to each ``argnums`` value is returned. 2025-08-26T20:33:08.9098191Z 2025-08-26T20:33:08.9098572Z Example of using ``grad``: 2025-08-26T20:33:08.9099071Z 2025-08-26T20:33:08.9099439Z >>> # xdoctest: +SKIP 2025-08-26T20:33:08.9099985Z >>> from torch.func import grad 2025-08-26T20:33:08.9100570Z >>> x = torch.randn([]) 2025-08-26T20:33:08.9101143Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-08-26T20:33:08.9101812Z >>> assert torch.allclose(cos_x, x.cos()) 2025-08-26T20:33:08.9102416Z >>> 2025-08-26T20:33:08.9102837Z >>> # Second-order gradients 2025-08-26T20:33:08.9103482Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-08-26T20:33:08.9104211Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-08-26T20:33:08.9104820Z 2025-08-26T20:33:08.9105476Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-08-26T20:33:08.9106310Z 2025-08-26T20:33:08.9106670Z >>> # xdoctest: +SKIP 2025-08-26T20:33:08.9107237Z >>> from torch.func import grad, vmap 2025-08-26T20:33:08.9107878Z >>> batch_size, feature_size = 3, 5 2025-08-26T20:33:08.9108433Z >>> 2025-08-26T20:33:08.9108871Z >>> def model(weights, feature_vec): 2025-08-26T20:33:08.9109533Z >>> # Very simple linear model with activation 2025-08-26T20:33:08.9110355Z >>> assert feature_vec.dim() == 1 2025-08-26T20:33:08.9111010Z >>> return feature_vec.dot(weights).relu() 2025-08-26T20:33:08.9111607Z >>> 2025-08-26T20:33:08.9112085Z >>> def compute_loss(weights, example, target): 2025-08-26T20:33:08.9112754Z >>> y = model(weights, example) 2025-08-26T20:33:08.9113419Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-08-26T20:33:08.9114014Z >>> 2025-08-26T20:33:08.9114564Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-26T20:33:08.9115388Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-26T20:33:08.9116105Z >>> targets = torch.randn(batch_size) 2025-08-26T20:33:08.9116744Z >>> inputs = (weights, examples, targets) 2025-08-26T20:33:08.9117619Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-08-26T20:33:08.9118463Z ... *inputs 2025-08-26T20:33:08.9118920Z ... ) 2025-08-26T20:33:08.9119299Z 2025-08-26T20:33:08.9119811Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-08-26T20:33:08.9120509Z 2025-08-26T20:33:08.9120875Z >>> # xdoctest: +SKIP 2025-08-26T20:33:08.9121411Z >>> from torch.func import grad 2025-08-26T20:33:08.9122013Z >>> def my_loss_func(y, y_pred): 2025-08-26T20:33:08.9122654Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-08-26T20:33:08.9123319Z >>> loss = loss_per_sample.mean() 2025-08-26T20:33:08.9123956Z >>> return loss, (y_pred, loss_per_sample) 2025-08-26T20:33:08.9124718Z >>> 2025-08-26T20:33:08.9125222Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-08-26T20:33:08.9125913Z >>> y_true = torch.rand(4) 2025-08-26T20:33:08.9126525Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-08-26T20:33:08.9127176Z >>> out = fn(y_true, y_preds) 2025-08-26T20:33:08.9128090Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-08-26T20:33:08.9128925Z 2025-08-26T20:33:08.9129281Z .. note:: 2025-08-26T20:33:08.9129814Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-08-26T20:33:08.9130496Z 2025-08-26T20:33:08.9131043Z Case 1: Using ``torch.no_grad`` inside a function: 2025-08-26T20:33:08.9131687Z 2025-08-26T20:33:08.9132045Z >>> # xdoctest: +SKIP 2025-08-26T20:33:08.9132584Z >>> def f(x): 2025-08-26T20:33:08.9133087Z >>> with torch.no_grad(): 2025-08-26T20:33:08.9133658Z >>> c = x ** 2 2025-08-26T20:33:08.9134188Z >>> return x - c 2025-08-26T20:33:08.9134691Z 2025-08-26T20:33:08.9135247Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-08-26T20:33:08.9135993Z 2025-08-26T20:33:08.9136504Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-08-26T20:33:08.9137227Z 2025-08-26T20:33:08.9137600Z >>> # xdoctest: +SKIP 2025-08-26T20:33:08.9138154Z >>> with torch.no_grad(): 2025-08-26T20:33:08.9138703Z >>> grad(f)(x) 2025-08-26T20:33:08.9139194Z 2025-08-26T20:33:08.9139806Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-08-26T20:33:08.9140867Z outer one. This is because ``grad`` is a "function transform": its result 2025-08-26T20:33:08.9141921Z should not depend on the result of a context manager outside of ``f``. 2025-08-26T20:33:08.9142724Z 2025-08-26T20:33:08.9143061Z 2025-08-26T20:33:08.9143969Z Original Error: IndentationError('expected an indented block', ('', 6, 1, '_._ = None\n')) 2025-08-26T20:33:08.9145023Z 2025-08-26T20:33:08.9145368Z _._ = None 2025-08-26T20:33:08.9145739Z ^ 2025-08-26T20:33:08.9146105Z warnings.warn(msg) 2025-08-26T20:33:08.9146540Z 2025-08-26T20:33:08.9147132Z --- Parse Warning: 9 / 17 --- 2025-08-26T20:33:08.9149448Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/custom_ops.py line=397. 2025-08-26T20:33:08.9152038Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.9153060Z Register a FakeTensor implementation for this custom op. 2025-08-26T20:33:08.9153769Z 2025-08-26T20:33:08.9154436Z This is necessary to get the operator to work efficiently with torch.compile. 2025-08-26T20:33:08.9155293Z 2025-08-26T20:33:08.9155882Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-08-26T20:33:08.9156969Z specifies the behavior of this operator on Tensors that carry no data. 2025-08-26T20:33:08.9157913Z Given some input Tensors with certain properties 2025-08-26T20:33:08.9158900Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-08-26T20:33:08.9159815Z the output Tensors are. 2025-08-26T20:33:08.9160317Z 2025-08-26T20:33:08.9160878Z Please see :func:`torch.library.register_fake` for more details. 2025-08-26T20:33:08.9161646Z 2025-08-26T20:33:08.9161986Z Args: 2025-08-26T20:33:08.9162531Z fn (Callable): The function to register as the FakeTensor 2025-08-26T20:33:08.9163259Z implementation. 2025-08-26T20:33:08.9163868Z 2025-08-26T20:33:08.9164216Z Examples: 2025-08-26T20:33:08.9164642Z >>> import torch 2025-08-26T20:33:08.9165165Z >>> import numpy as np 2025-08-26T20:33:08.9165737Z >>> from torch import Tensor 2025-08-26T20:33:08.9166289Z >>> 2025-08-26T20:33:08.9166863Z >>> # Example 1: an operator without data-dependent output shape 2025-08-26T20:33:08.9167872Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-08-26T20:33:08.9168808Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-26T20:33:08.9169611Z >>> return (x @ weight.t()) + bias 2025-08-26T20:33:08.9170253Z >>> 2025-08-26T20:33:08.9170691Z >>> @linear.register_fake 2025-08-26T20:33:08.9171276Z >>> def _(x, weight, bias): 2025-08-26T20:33:08.9171854Z >>> assert x.dim() == 2 2025-08-26T20:33:08.9172435Z >>> assert weight.dim() == 2 2025-08-26T20:33:08.9173046Z >>> assert bias.dim() == 1 2025-08-26T20:33:08.9173682Z >>> assert x.shape[1] == weight.shape[1] 2025-08-26T20:33:08.9174374Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-26T20:33:08.9175055Z >>> assert x.device == weight.device 2025-08-26T20:33:08.9175747Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-08-26T20:33:08.9176390Z >>> 2025-08-26T20:33:08.9176822Z >>> x = torch.randn(2, 2) 2025-08-26T20:33:08.9177415Z >>> weight = torch.randn(2, 2) 2025-08-26T20:33:08.9178004Z >>> bias = torch.randn(2) 2025-08-26T20:33:08.9178650Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T20:33:08.9179481Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-08-26T20:33:08.9180321Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T20:33:08.9181237Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-08-26T20:33:08.9182096Z >>> 2025-08-26T20:33:08.9182664Z >>> # Example 2: an operator with data-dependent output shape 2025-08-26T20:33:08.9183582Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-08-26T20:33:08.9184527Z >>> def nonzero(x: Tensor) -> Tensor: 2025-08-26T20:33:08.9185142Z >>> x_np = x.cpu().numpy() 2025-08-26T20:33:08.9185780Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-26T20:33:08.9186497Z >>> return torch.tensor(res, device=x.device) 2025-08-26T20:33:08.9187122Z >>> 2025-08-26T20:33:08.9187545Z >>> @nonzero.register_fake 2025-08-26T20:33:08.9188101Z >>> def _(x): 2025-08-26T20:33:08.9188681Z >>> # Number of nonzero-elements is data-dependent. 2025-08-26T20:33:08.9189485Z >>> # Since we cannot peek at the data in an abstract impl, 2025-08-26T20:33:08.9190290Z >>> # we use the ctx object to construct a new symint that 2025-08-26T20:33:08.9191049Z >>> # represents the data-dependent size. 2025-08-26T20:33:08.9191718Z >>> ctx = torch.library.get_ctx() 2025-08-26T20:33:08.9192370Z >>> nnz = ctx.new_dynamic_size() 2025-08-26T20:33:08.9192984Z >>> shape = [nnz, x.dim()] 2025-08-26T20:33:08.9193676Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-26T20:33:08.9194349Z >>> return result 2025-08-26T20:33:08.9194860Z >>> 2025-08-26T20:33:08.9195314Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-08-26T20:33:08.9195983Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T20:33:08.9196822Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-08-26T20:33:08.9197565Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T20:33:08.9198260Z >>> assert torch.allclose(out, x.nonzero()) 2025-08-26T20:33:08.9198875Z 2025-08-26T20:33:08.9199226Z 2025-08-26T20:33:08.9200137Z Original Error: IndentationError('expected an indented block', ('', 37, 1, '_._ = None\n')) 2025-08-26T20:33:08.9201204Z 2025-08-26T20:33:08.9201557Z _._ = None 2025-08-26T20:33:08.9201941Z ^ 2025-08-26T20:33:08.9202308Z warnings.warn(msg) 2025-08-26T20:33:08.9202740Z 2025-08-26T20:33:08.9203317Z --- Parse Warning: 10 / 17 --- 2025-08-26T20:33:08.9205712Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/fake_profile.py line=94. 2025-08-26T20:33:08.9208427Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T20:33:08.9209308Z 2025-08-26T20:33:08.9209940Z Registers a fake kernel based on the given operator profiles. This fake 2025-08-26T20:33:08.9211206Z kernel registration will override any existing fake kernel registrations. 2025-08-26T20:33:08.9212062Z 2025-08-26T20:33:08.9212637Z The input is a dictionary mapping operator names to a set of operator 2025-08-26T20:33:08.9213703Z profiles, which we will use to generate fake kernels. The operator profiles 2025-08-26T20:33:08.9214752Z are a record of the input and output tensor metadata. Based on this 2025-08-26T20:33:08.9215801Z information we will match a given input to the recorded profile, and return 2025-08-26T20:33:08.9216919Z an output with the same metadata as in the recorded profile. If a profile 2025-08-26T20:33:08.9217814Z doesn't exist then an exception will be thrown. 2025-08-26T20:33:08.9218433Z 2025-08-26T20:33:08.9219057Z The fake kernel generation is considered unsafe because it relies on the 2025-08-26T20:33:08.9220154Z rigid, pre-defined operator profiles that do not account for potential 2025-08-26T20:33:08.9221274Z variations in output behavior. Specifically, the generated kernels assume a 2025-08-26T20:33:08.9222457Z fixed relationship between input and output ranks. However, in reality, it's 2025-08-26T20:33:08.9223626Z possible that data-dependent operations may produce outputs of different 2025-08-26T20:33:08.9224738Z ranks even when given inputs of the same rank. The generated fake kernels 2025-08-26T20:33:08.9225803Z are inflexible and unable to accommodate these nuances, making them 2025-08-26T20:33:08.9226601Z potentially unsafe. 2025-08-26T20:33:08.9227045Z 2025-08-26T20:33:08.9227383Z Args: 2025-08-26T20:33:08.9227990Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-08-26T20:33:08.9229004Z name to a set of operator profiles from which we will generate fake 2025-08-26T20:33:08.9229773Z kernels. 2025-08-26T20:33:08.9230174Z 2025-08-26T20:33:08.9230520Z Examples: 2025-08-26T20:33:08.9230879Z 2025-08-26T20:33:08.9231377Z >>> # Example: Registering an op-profile from draft-export 2025-08-26T20:33:08.9232075Z >>> import torch 2025-08-26T20:33:08.9232668Z >>> from torch.export._draft_export import draft_export 2025-08-26T20:33:08.9233330Z >>> 2025-08-26T20:33:08.9233666Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-08-26T20:33:08.9233888Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-08-26T20:33:08.9234066Z >>> return x + y 2025-08-26T20:33:08.9234207Z >>> 2025-08-26T20:33:08.9234399Z >>> class M(torch.nn.Module): 2025-08-26T20:33:08.9234601Z >>> def forward(self, a, b): 2025-08-26T20:33:08.9234850Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-08-26T20:33:08.9235193Z >>> return res 2025-08-26T20:33:08.9235334Z >>> 2025-08-26T20:33:08.9235635Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-08-26T20:33:08.9235795Z >>> 2025-08-26T20:33:08.9236355Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-08-26T20:33:08.9236562Z >>> decomp = ep.run_decompositions() 2025-08-26T20:33:08.9236727Z 2025-08-26T20:33:08.9236867Z 2025-08-26T20:33:08.9237819Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-08-26T20:33:08.9237959Z 2025-08-26T20:33:08.9238130Z warnings.warn(msg) 2025-08-26T20:33:08.9238289Z 2025-08-26T20:33:08.9238816Z --- Parse Warning: 11 / 17 --- 2025-08-26T20:33:08.9241166Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-08-26T20:33:08.9241633Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.9241789Z 2025-08-26T20:33:08.9242290Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-08-26T20:33:08.9242706Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-08-26T20:33:08.9243186Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-08-26T20:33:08.9243350Z input by the user. 2025-08-26T20:33:08.9243779Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-08-26T20:33:08.9244056Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-08-26T20:33:08.9244198Z 2025-08-26T20:33:08.9244362Z Note:: 2025-08-26T20:33:08.9244963Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-08-26T20:33:08.9245106Z 2025-08-26T20:33:08.9245258Z Args: 2025-08-26T20:33:08.9245421Z model (nn.Module): 2025-08-26T20:33:08.9245841Z The model whose layers will be sparsified. The layers that needs to be 2025-08-26T20:33:08.9246290Z sparsified should be added separately using the register_layer() function 2025-08-26T20:33:08.9246496Z aggregate_fn (Optional, Callable): 2025-08-26T20:33:08.9246991Z default aggregate_fn that is used if not specified while registering the layer. 2025-08-26T20:33:08.9247283Z specifies how inputs should be aggregated over time. 2025-08-26T20:33:08.9247916Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-08-26T20:33:08.9248062Z Example 2025-08-26T20:33:08.9248388Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-08-26T20:33:08.9248588Z reduce_fn (Optional, Callable): 2025-08-26T20:33:08.9249048Z default reduce_fn that is used if not specified while registering the layer. 2025-08-26T20:33:08.9249536Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-08-26T20:33:08.9249738Z calling agg_fn() on all inputs. 2025-08-26T20:33:08.9249898Z Example 2025-08-26T20:33:08.9250264Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-08-26T20:33:08.9250461Z mask_fn (Optional, Callable): 2025-08-26T20:33:08.9251062Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-08-26T20:33:08.9251541Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-08-26T20:33:08.9251730Z register_layer(). 2025-08-26T20:33:08.9252390Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-08-26T20:33:08.9252630Z arguments. 2025-08-26T20:33:08.9252831Z features (Optional, list): 2025-08-26T20:33:08.9253061Z default selected features to sparsify. 2025-08-26T20:33:08.9253572Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-08-26T20:33:08.9253734Z For example, 2025-08-26T20:33:08.9254207Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-08-26T20:33:08.9254415Z feature_dim (Optional, int): 2025-08-26T20:33:08.9255004Z default dimension of input features. Again, features along this dim will be chosen 2025-08-26T20:33:08.9255203Z for sparsification. 2025-08-26T20:33:08.9255384Z sparse_config (Dict): 2025-08-26T20:33:08.9255790Z Default configuration for the mask_fn. This config will be passed 2025-08-26T20:33:08.9255987Z with the mask_fn() 2025-08-26T20:33:08.9256132Z 2025-08-26T20:33:08.9256295Z Example: 2025-08-26T20:33:08.9256462Z >>> # xdoctest: +SKIP 2025-08-26T20:33:08.9256631Z >>> model = SomeModel() 2025-08-26T20:33:08.9257091Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-08-26T20:33:08.9257273Z >>> # Initialize aggregate_fn 2025-08-26T20:33:08.9257455Z >>> def agg_fn(x, y): 2025-08-26T20:33:08.9257616Z >>> return x + y 2025-08-26T20:33:08.9257754Z >>> 2025-08-26T20:33:08.9257946Z >>> # Initialize reduce_fn 2025-08-26T20:33:08.9258109Z >>> def reduce_fn(x): 2025-08-26T20:33:08.9258317Z >>> return torch.mean(x, dim=0) 2025-08-26T20:33:08.9258457Z >>> 2025-08-26T20:33:08.9258627Z >>> # Initialize mask_fn 2025-08-26T20:33:08.9258805Z >>> def mask_fn(data): 2025-08-26T20:33:08.9259058Z >>> return torch.eye(data.shape).to(data.device) 2025-08-26T20:33:08.9259200Z >>> 2025-08-26T20:33:08.9259354Z >>> 2025-08-26T20:33:08.9259559Z >>> act_sparsifier.register_layer( 2025-08-26T20:33:08.9259745Z ... model.some_layer, 2025-08-26T20:33:08.9259917Z ... aggregate_fn=agg_fn, 2025-08-26T20:33:08.9260087Z ... reduce_fn=reduce_fn, 2025-08-26T20:33:08.9260265Z ... mask_fn=mask_fn, 2025-08-26T20:33:08.9260409Z ... ) 2025-08-26T20:33:08.9260563Z >>> 2025-08-26T20:33:08.9260741Z >>> # start training process 2025-08-26T20:33:08.9260896Z >>> for _ in [...]: 2025-08-26T20:33:08.9261075Z >>> # epoch starts 2025-08-26T20:33:08.9261382Z >>> # model.forward(), compute_loss() and model.backwards() 2025-08-26T20:33:08.9261537Z >>> # epoch ends 2025-08-26T20:33:08.9261743Z >>> act_sparsifier.step() 2025-08-26T20:33:08.9261917Z >>> # end training process 2025-08-26T20:33:08.9262124Z >>> sparsifier.squash_mask() 2025-08-26T20:33:08.9262268Z 2025-08-26T20:33:08.9262961Z Original Error: IndentationError('expected an indented block', ('', 26, 1, '_._ = None\n')) 2025-08-26T20:33:08.9263116Z 2025-08-26T20:33:08.9263267Z _._ = None 2025-08-26T20:33:08.9263426Z ^ 2025-08-26T20:33:08.9263596Z warnings.warn(msg) 2025-08-26T20:33:08.9263732Z 2025-08-26T20:33:08.9264097Z --- Parse Warning: 12 / 17 --- 2025-08-26T20:33:08.9265982Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/device_mesh.py line=721. 2025-08-26T20:33:08.9266461Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.9266600Z 2025-08-26T20:33:08.9267111Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-08-26T20:33:08.9267708Z The submesh created consists of the dimensions and the communicators indicated by 2025-08-26T20:33:08.9267868Z ``mesh_dim_names`` 2025-08-26T20:33:08.9268023Z 2025-08-26T20:33:08.9268163Z Args: 2025-08-26T20:33:08.9268595Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-08-26T20:33:08.9268944Z mesh dimension of the DeviceMesh to create the submesh for. 2025-08-26T20:33:08.9269090Z Returns: 2025-08-26T20:33:08.9269290Z A :class:`DeviceMesh` object 2025-08-26T20:33:08.9269430Z 2025-08-26T20:33:08.9269968Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-08-26T20:33:08.9270222Z In the first example: 2025-08-26T20:33:08.9270690Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-08-26T20:33:08.9271171Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-08-26T20:33:08.9271592Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-08-26T20:33:08.9272009Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-08-26T20:33:08.9272428Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-08-26T20:33:08.9272840Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-08-26T20:33:08.9273002Z 2025-08-26T20:33:08.9273178Z In the second example: 2025-08-26T20:33:08.9273677Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-08-26T20:33:08.9274184Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-08-26T20:33:08.9274672Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-08-26T20:33:08.9275179Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-08-26T20:33:08.9275319Z 2025-08-26T20:33:08.9275483Z Example:: 2025-08-26T20:33:08.9275623Z 2025-08-26T20:33:08.9275810Z >>> # xdoctest: +SKIP("no rank") 2025-08-26T20:33:08.9276120Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-08-26T20:33:08.9276259Z >>> 2025-08-26T20:33:08.9276622Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-08-26T20:33:08.9276881Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-08-26T20:33:08.9277353Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-26T20:33:08.9277548Z >>> tp_mesh = mesh_2d["tp"] 2025-08-26T20:33:08.9277717Z >>> dp_mesh = mesh_2d["dp"] 2025-08-26T20:33:08.9277855Z >>> 2025-08-26T20:33:08.9278042Z >>> # Initialize a 3D mesh. 2025-08-26T20:33:08.9278560Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-08-26T20:33:08.9279146Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-08-26T20:33:08.9279336Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-08-26T20:33:08.9279525Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-08-26T20:33:08.9279676Z 2025-08-26T20:33:08.9280963Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n')) 2025-08-26T20:33:08.9281117Z 2025-08-26T20:33:08.9281578Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-26T20:33:08.9281792Z ^ 2025-08-26T20:33:08.9281962Z warnings.warn(msg) 2025-08-26T20:33:08.9282177Z 2025-08-26T20:33:08.9282521Z --- Parse Warning: 13 / 17 --- 2025-08-26T20:33:08.9284390Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-08-26T20:33:08.9284864Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.9285005Z 2025-08-26T20:33:08.9285546Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-08-26T20:33:08.9285697Z 2025-08-26T20:33:08.9286253Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-08-26T20:33:08.9286405Z 2025-08-26T20:33:08.9286994Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-26T20:33:08.9287197Z will be visible to the whole process. 2025-08-26T20:33:08.9287348Z 2025-08-26T20:33:08.9287954Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-08-26T20:33:08.9288106Z 2025-08-26T20:33:08.9288319Z 1) set_up_planner - called on all ranks. 2025-08-26T20:33:08.9288534Z Signals the start of a checkpoint save. 2025-08-26T20:33:08.9288690Z 2025-08-26T20:33:08.9288908Z 2) create_local_plan - called on all ranks. 2025-08-26T20:33:08.9289449Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-08-26T20:33:08.9289607Z 2025-08-26T20:33:08.9289936Z 3) create_global_plan - called on the coordinator rank only. 2025-08-26T20:33:08.9290319Z Takes the SavePlan from all ranks and make any global decision. 2025-08-26T20:33:08.9290459Z 2025-08-26T20:33:08.9290660Z 4) finish_plan - called on all ranks. 2025-08-26T20:33:08.9291072Z This gives each rank a chance to adjust to global planning decisions. 2025-08-26T20:33:08.9291211Z 2025-08-26T20:33:08.9291503Z 5) resolve_data - called multiple times on each rank 2025-08-26T20:33:08.9291873Z Lookups a value on the `state_dict` for the storage layer to write. 2025-08-26T20:33:08.9292012Z 2025-08-26T20:33:08.9292611Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-08-26T20:33:08.9292944Z most changes can be expressed by changes in a single method. 2025-08-26T20:33:08.9293096Z 2025-08-26T20:33:08.9293309Z There are 3 usual patterns of extension: 2025-08-26T20:33:08.9293451Z 2025-08-26T20:33:08.9293940Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-08-26T20:33:08.9294361Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-08-26T20:33:08.9294524Z 2025-08-26T20:33:08.9294726Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T20:33:08.9294958Z >>> class RenamePlanner(DefaultSavePlanner): 2025-08-26T20:33:08.9295147Z >>> def set_up_planner( 2025-08-26T20:33:08.9295303Z >>> self, 2025-08-26T20:33:08.9295513Z >>> state_dict: STATE_DICT_TYPE, 2025-08-26T20:33:08.9295731Z >>> storage_meta: Optional[StorageMeta], 2025-08-26T20:33:08.9295915Z >>> is_coordinator: bool, 2025-08-26T20:33:08.9296084Z >>> ) -> None: 2025-08-26T20:33:08.9296274Z >>> # prefix all keys with `foo_`` 2025-08-26T20:33:08.9296829Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-08-26T20:33:08.9296968Z 2025-08-26T20:33:08.9297601Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-08-26T20:33:08.9297754Z 2025-08-26T20:33:08.9297952Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T20:33:08.9298171Z >>> class FP16Planner(DefaultSavePlanner): 2025-08-26T20:33:08.9298374Z >>> def create_local_plan(self): 2025-08-26T20:33:08.9298579Z >>> plan = super().create_local_plan() 2025-08-26T20:33:08.9298858Z >>> for p in plan: 2025-08-26T20:33:08.9299056Z >>> if p.tensor_data is not None: 2025-08-26T20:33:08.9299331Z >>> p.tensor_data.properties.dtype = torch.float16 2025-08-26T20:33:08.9299507Z >>> return plan 2025-08-26T20:33:08.9299652Z >>> 2025-08-26T20:33:08.9299870Z >>> def resolve_data(self, write_item): 2025-08-26T20:33:08.9300085Z >>> item = super().resolve_data(write_item) 2025-08-26T20:33:08.9300593Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-08-26T20:33:08.9300746Z 2025-08-26T20:33:08.9301468Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-08-26T20:33:08.9301615Z 2025-08-26T20:33:08.9301810Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T20:33:08.9302003Z >>> from itertools import zip_longest 2025-08-26T20:33:08.9302214Z >>> from dataclasses import replace 2025-08-26T20:33:08.9302508Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-08-26T20:33:08.9303036Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-08-26T20:33:08.9303264Z >>> # This sample doesn't handle ShardedTensors 2025-08-26T20:33:08.9303484Z >>> def create_global_plan(self, all_plans): 2025-08-26T20:33:08.9303755Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-08-26T20:33:08.9303924Z >>> items_per_rank = [ 2025-08-26T20:33:08.9304170Z >>> [item for item in items if item is not None] 2025-08-26T20:33:08.9304446Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-08-26T20:33:08.9304596Z >>> ] 2025-08-26T20:33:08.9304769Z >>> all_plans = [ 2025-08-26T20:33:08.9304961Z >>> replace(plan, items=items) 2025-08-26T20:33:08.9305317Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-08-26T20:33:08.9305469Z >>> ] 2025-08-26T20:33:08.9305713Z >>> return super().create_global_plan(all_plans) 2025-08-26T20:33:08.9305865Z 2025-08-26T20:33:08.9306362Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-08-26T20:33:08.9306883Z accomplished by having each rank contribute their data items in the local plan and 2025-08-26T20:33:08.9307079Z the global planner aggregate them: 2025-08-26T20:33:08.9307217Z 2025-08-26T20:33:08.9307429Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T20:33:08.9307701Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-08-26T20:33:08.9307937Z >>> def create_local_plan(self) -> SavePlan: 2025-08-26T20:33:08.9308147Z >>> plan = super().create_local_plan() 2025-08-26T20:33:08.9308435Z >>> return replace(plan, planner_data="per-rank-data") 2025-08-26T20:33:08.9308591Z >>> 2025-08-26T20:33:08.9309154Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-08-26T20:33:08.9309519Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-08-26T20:33:08.9309793Z >>> merged_data = [p.planner_data for p in global_plan] 2025-08-26T20:33:08.9310245Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-08-26T20:33:08.9310458Z >>> return global_plan, metadata 2025-08-26T20:33:08.9310601Z 2025-08-26T20:33:08.9311292Z Original Error: IndentationError('expected an indented block', ('', 9, 0, '_._ = None\n')) 2025-08-26T20:33:08.9311432Z 2025-08-26T20:33:08.9311581Z _._ = None 2025-08-26T20:33:08.9311739Z ^ 2025-08-26T20:33:08.9311913Z warnings.warn(msg) 2025-08-26T20:33:08.9312053Z 2025-08-26T20:33:08.9312419Z --- Parse Warning: 14 / 17 --- 2025-08-26T20:33:08.9314289Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-08-26T20:33:08.9314907Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.9315048Z 2025-08-26T20:33:08.9315617Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-08-26T20:33:08.9315767Z 2025-08-26T20:33:08.9316312Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-08-26T20:33:08.9316465Z 2025-08-26T20:33:08.9316990Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-26T20:33:08.9317302Z will be visible to the whole process. 2025-08-26T20:33:08.9317444Z 2025-08-26T20:33:08.9317965Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-08-26T20:33:08.9318118Z 2025-08-26T20:33:08.9318333Z 1) set_up_planner - called on all ranks. 2025-08-26T20:33:08.9318578Z Signals the start of loading a checkpoint. 2025-08-26T20:33:08.9318726Z 2025-08-26T20:33:08.9318945Z 2) create_local_plan - called on all ranks. 2025-08-26T20:33:08.9319495Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-08-26T20:33:08.9319644Z 2025-08-26T20:33:08.9319977Z 3) create_global_plan - called on the coordinator rank only. 2025-08-26T20:33:08.9320352Z Takes the LoadPlan from all ranks and make any global decision. 2025-08-26T20:33:08.9320495Z 2025-08-26T20:33:08.9320763Z 4) load_bytes - called multiple times on each rank 2025-08-26T20:33:08.9321068Z This is called once per non-tensor value in state_dict. 2025-08-26T20:33:08.9321210Z 2025-08-26T20:33:08.9321636Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-08-26T20:33:08.9321962Z They are called in pair for each Tensor value in state_dict. 2025-08-26T20:33:08.9322126Z 2025-08-26T20:33:08.9322703Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-08-26T20:33:08.9323036Z most changes can be expressed by changes in a single method. 2025-08-26T20:33:08.9323193Z 2025-08-26T20:33:08.9323424Z There are two usual patterns of extension: 2025-08-26T20:33:08.9323574Z 2025-08-26T20:33:08.9324049Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-08-26T20:33:08.9324534Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-08-26T20:33:08.9324970Z to keep a reference to the original state_dict as load happens in place so 2025-08-26T20:33:08.9325193Z we need to be able to perform it in place 2025-08-26T20:33:08.9325347Z 2025-08-26T20:33:08.9325544Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T20:33:08.9325777Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-08-26T20:33:08.9325968Z >>> def set_up_planner( 2025-08-26T20:33:08.9326117Z >>> self, 2025-08-26T20:33:08.9326327Z >>> state_dict: STATE_DICT_TYPE, 2025-08-26T20:33:08.9326504Z >>> metadata: Metadata, 2025-08-26T20:33:08.9326691Z >>> is_coordinator: bool, 2025-08-26T20:33:08.9326858Z >>> ) -> None: 2025-08-26T20:33:08.9327076Z >>> self.original_state_dict = state_dict 2025-08-26T20:33:08.9327408Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-08-26T20:33:08.9327624Z >>> 2025-08-26T20:33:08.9327832Z >>> if self.flatten_sharded_tensors: 2025-08-26T20:33:08.9328118Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-08-26T20:33:08.9328258Z >>> 2025-08-26T20:33:08.9328454Z >>> if self.flatten_state_dict: 2025-08-26T20:33:08.9328796Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-08-26T20:33:08.9328935Z >>> 2025-08-26T20:33:08.9329219Z >>> self.state_dict = state_dict 2025-08-26T20:33:08.9329400Z >>> self.metadata = metadata 2025-08-26T20:33:08.9329611Z >>> self.is_coordinator = is_coordinator 2025-08-26T20:33:08.9329762Z >>> 2025-08-26T20:33:08.9329971Z >>> def load_bytes(self, read_item, value): 2025-08-26T20:33:08.9330158Z >>> # Remove the "foo_" prefix 2025-08-26T20:33:08.9330760Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-08-26T20:33:08.9330904Z 2025-08-26T20:33:08.9331054Z 2025-08-26T20:33:08.9331542Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-08-26T20:33:08.9331696Z 2025-08-26T20:33:08.9331962Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T20:33:08.9332230Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-08-26T20:33:08.9332449Z >>> def resolve_tensor(self, read_item): 2025-08-26T20:33:08.9332682Z >>> tensor = super().resolve_tensor(read_item) 2025-08-26T20:33:08.9332947Z >>> return torch.empty_like(tensor, device="cpu") 2025-08-26T20:33:08.9333087Z >>> 2025-08-26T20:33:08.9333316Z >>> def commit_tensor(self, read_item, tensor): 2025-08-26T20:33:08.9333606Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-08-26T20:33:08.9333745Z 2025-08-26T20:33:08.9334441Z Original Error: IndentationError('expected an indented block', ('', 23, 0, '_._ = None\n')) 2025-08-26T20:33:08.9334584Z 2025-08-26T20:33:08.9334728Z _._ = None 2025-08-26T20:33:08.9334876Z ^ 2025-08-26T20:33:08.9335046Z warnings.warn(msg) 2025-08-26T20:33:08.9335187Z 2025-08-26T20:33:08.9335552Z --- Parse Warning: 15 / 17 --- 2025-08-26T20:33:08.9337402Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/distributed/fsdp/api.py line=295. 2025-08-26T20:33:08.9337884Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.9338025Z 2025-08-26T20:33:08.9338415Z ``FullStateDictConfig`` is a config class meant to be used with 2025-08-26T20:33:08.9338769Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-08-26T20:33:08.9339138Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-08-26T20:33:08.9339560Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-08-26T20:33:08.9339915Z is meant to be used via the :func:`state_dict_type` context manager as 2025-08-26T20:33:08.9340081Z follows: 2025-08-26T20:33:08.9340223Z 2025-08-26T20:33:08.9340454Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T20:33:08.9340903Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-26T20:33:08.9341130Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-08-26T20:33:08.9341522Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-08-26T20:33:08.9341924Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-08-26T20:33:08.9342111Z >>> state = fsdp.state_dict() 2025-08-26T20:33:08.9342510Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-08-26T20:33:08.9342949Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-08-26T20:33:08.9343393Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-08-26T20:33:08.9343569Z >>> if dist.get_rank() == 0: 2025-08-26T20:33:08.9343907Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-08-26T20:33:08.9344161Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-08-26T20:33:08.9344374Z >>> model.load_state_dict(state_dict) 2025-08-26T20:33:08.9344893Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-08-26T20:33:08.9345344Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-08-26T20:33:08.9345507Z >>> fsdp = FSDP( 2025-08-26T20:33:08.9345670Z ... model, 2025-08-26T20:33:08.9345901Z ... device_id=torch.cuda.current_device(), 2025-08-26T20:33:08.9346093Z ... auto_wrap_policy=..., 2025-08-26T20:33:08.9346280Z ... sync_module_states=True, 2025-08-26T20:33:08.9346426Z ... ) 2025-08-26T20:33:08.9346837Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-08-26T20:33:08.9346980Z 2025-08-26T20:33:08.9347145Z Attributes: 2025-08-26T20:33:08.9347620Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-08-26T20:33:08.9347992Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-08-26T20:33:08.9348285Z ranks save the full state dict. (Default: ``False``) 2025-08-26T20:33:08.9348431Z 2025-08-26T20:33:08.9349138Z Original Error: IndentationError('expected an indented block', ('', 11, 1, '_._ = None\n')) 2025-08-26T20:33:08.9349273Z 2025-08-26T20:33:08.9349422Z _._ = None 2025-08-26T20:33:08.9349577Z ^ 2025-08-26T20:33:08.9349748Z warnings.warn(msg) 2025-08-26T20:33:08.9349891Z 2025-08-26T20:33:08.9350226Z --- Parse Warning: 16 / 17 --- 2025-08-26T20:33:08.9352104Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/parametrize.py line=424. 2025-08-26T20:33:08.9352587Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.9352864Z Register a parametrization to a tensor in a module. 2025-08-26T20:33:08.9353014Z 2025-08-26T20:33:08.9353537Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-08-26T20:33:08.9354064Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-08-26T20:33:08.9354568Z If the original tensor requires a gradient, the backward pass will differentiate 2025-08-26T20:33:08.9355112Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-08-26T20:33:08.9355270Z 2025-08-26T20:33:08.9355857Z The first time that a module registers a parametrization, this function will add an attribute 2025-08-26T20:33:08.9356299Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-08-26T20:33:08.9356454Z 2025-08-26T20:33:08.9356937Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-08-26T20:33:08.9357168Z ``module.parametrizations.weight``. 2025-08-26T20:33:08.9357303Z 2025-08-26T20:33:08.9357540Z The original tensor will be accessible under 2025-08-26T20:33:08.9357815Z ``module.parametrizations.weight.original``. 2025-08-26T20:33:08.9357950Z 2025-08-26T20:33:08.9358460Z Parametrizations may be concatenated by registering several parametrizations 2025-08-26T20:33:08.9358632Z on the same attribute. 2025-08-26T20:33:08.9358767Z 2025-08-26T20:33:08.9359229Z The training mode of a registered parametrization is updated on registration 2025-08-26T20:33:08.9359471Z to match the training mode of the host module 2025-08-26T20:33:08.9359618Z 2025-08-26T20:33:08.9360204Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-08-26T20:33:08.9360425Z using the context manager :func:`cached`. 2025-08-26T20:33:08.9360583Z 2025-08-26T20:33:08.9361030Z A :attr:`parametrization` may optionally implement a method with signature 2025-08-26T20:33:08.9361170Z 2025-08-26T20:33:08.9361373Z .. code-block:: python 2025-08-26T20:33:08.9361609Z 2025-08-26T20:33:08.9362018Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-08-26T20:33:08.9362155Z 2025-08-26T20:33:08.9362644Z This method is called on the unparametrized tensor when the first parametrization 2025-08-26T20:33:08.9363039Z is registered to compute the initial value of the original tensor. 2025-08-26T20:33:08.9363625Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-08-26T20:33:08.9363776Z 2025-08-26T20:33:08.9364369Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-08-26T20:33:08.9364985Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-08-26T20:33:08.9365142Z 2025-08-26T20:33:08.9365560Z It is possible for the first parametrization to depend on several inputs. 2025-08-26T20:33:08.9366025Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-08-26T20:33:08.9366464Z (see the example implementation of a ``RankOne`` parametrization below). 2025-08-26T20:33:08.9366618Z 2025-08-26T20:33:08.9367258Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-08-26T20:33:08.9367483Z with names ``original0``, ``original1``,... 2025-08-26T20:33:08.9367707Z 2025-08-26T20:33:08.9367863Z .. note:: 2025-08-26T20:33:08.9367998Z 2025-08-26T20:33:08.9368518Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-08-26T20:33:08.9368775Z once to perform a number of consistency checks. 2025-08-26T20:33:08.9369297Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-08-26T20:33:08.9369505Z and nothing will be called otherwise. 2025-08-26T20:33:08.9369650Z 2025-08-26T20:33:08.9369820Z .. note:: 2025-08-26T20:33:08.9369956Z 2025-08-26T20:33:08.9370343Z In most situations, ``right_inverse`` will be a function such that 2025-08-26T20:33:08.9370554Z ``forward(right_inverse(X)) == X`` (see 2025-08-26T20:33:08.9371099Z `right inverse `_). 2025-08-26T20:33:08.9371583Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-08-26T20:33:08.9371741Z to relax this. 2025-08-26T20:33:08.9371891Z 2025-08-26T20:33:08.9372044Z .. warning:: 2025-08-26T20:33:08.9372194Z 2025-08-26T20:33:08.9372725Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-08-26T20:33:08.9373214Z will register a number of new parameters. If such parametrization is registered 2025-08-26T20:33:08.9373738Z after the optimizer is created, these new parameters will need to be added manually 2025-08-26T20:33:08.9374094Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-08-26T20:33:08.9374234Z 2025-08-26T20:33:08.9374391Z Args: 2025-08-26T20:33:08.9374775Z module (nn.Module): module on which to register the parametrization 2025-08-26T20:33:08.9375182Z tensor_name (str): name of the parameter or buffer on which to register 2025-08-26T20:33:08.9375359Z the parametrization 2025-08-26T20:33:08.9375727Z parametrization (nn.Module): the parametrization to register 2025-08-26T20:33:08.9375903Z Keyword args: 2025-08-26T20:33:08.9376303Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-08-26T20:33:08.9376674Z may change the dtype and shape of the tensor. Default: `False` 2025-08-26T20:33:08.9377181Z Warning: the parametrization is not checked for consistency upon registration. 2025-08-26T20:33:08.9377392Z Enable this flag at your own risk. 2025-08-26T20:33:08.9377624Z 2025-08-26T20:33:08.9377769Z Raises: 2025-08-26T20:33:08.9378329Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-08-26T20:33:08.9378472Z 2025-08-26T20:33:08.9378621Z Examples: 2025-08-26T20:33:08.9378897Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-08-26T20:33:08.9379060Z >>> import torch 2025-08-26T20:33:08.9379259Z >>> import torch.nn as nn 2025-08-26T20:33:08.9379495Z >>> import torch.nn.utils.parametrize as P 2025-08-26T20:33:08.9379636Z >>> 2025-08-26T20:33:08.9379846Z >>> class Symmetric(nn.Module): 2025-08-26T20:33:08.9380094Z >>> def forward(self, X): 2025-08-26T20:33:08.9380433Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-08-26T20:33:08.9380578Z >>> 2025-08-26T20:33:08.9380773Z >>> def right_inverse(self, A): 2025-08-26T20:33:08.9380970Z >>> return A.triu() 2025-08-26T20:33:08.9381112Z >>> 2025-08-26T20:33:08.9381295Z >>> m = nn.Linear(5, 5) 2025-08-26T20:33:08.9381593Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-08-26T20:33:08.9382038Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-08-26T20:33:08.9382201Z True 2025-08-26T20:33:08.9382369Z >>> A = torch.rand(5, 5) 2025-08-26T20:33:08.9382563Z >>> A = A + A.T # A is now symmetric 2025-08-26T20:33:08.9382938Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-08-26T20:33:08.9383150Z >>> print(torch.allclose(m.weight, A)) 2025-08-26T20:33:08.9383314Z True 2025-08-26T20:33:08.9383455Z 2025-08-26T20:33:08.9383643Z >>> class RankOne(nn.Module): 2025-08-26T20:33:08.9383841Z >>> def forward(self, x, y): 2025-08-26T20:33:08.9384091Z >>> # Form a rank 1 matrix multiplying two vectors 2025-08-26T20:33:08.9384335Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-08-26T20:33:08.9384479Z >>> 2025-08-26T20:33:08.9384672Z >>> def right_inverse(self, Z): 2025-08-26T20:33:08.9384888Z >>> # Project Z onto the rank 1 matrices 2025-08-26T20:33:08.9385148Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-08-26T20:33:08.9385368Z >>> # Return rescaled singular vectors 2025-08-26T20:33:08.9385570Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-08-26T20:33:08.9385824Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-08-26T20:33:08.9385982Z >>> 2025-08-26T20:33:08.9386241Z >>> linear_rank_one = P.register_parametrization( 2025-08-26T20:33:08.9386466Z ... nn.Linear(4, 4), "weight", RankOne() 2025-08-26T20:33:08.9386611Z ... ) 2025-08-26T20:33:08.9386977Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-08-26T20:33:08.9387129Z 1 2025-08-26T20:33:08.9387266Z 2025-08-26T20:33:08.9387427Z 2025-08-26T20:33:08.9388106Z Original Error: IndentationError('expected an indented block', ('', 3, 0, '_._ = None\n')) 2025-08-26T20:33:08.9388243Z 2025-08-26T20:33:08.9388402Z _._ = None 2025-08-26T20:33:08.9388542Z ^ 2025-08-26T20:33:08.9388724Z warnings.warn(msg) 2025-08-26T20:33:08.9388864Z 2025-08-26T20:33:08.9389212Z --- Parse Warning: 17 / 17 --- 2025-08-26T20:33:08.9391044Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/optim/lr_scheduler.py line=1233. 2025-08-26T20:33:08.9391505Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T20:33:08.9391915Z Reduce learning rate when a metric has stopped improving. 2025-08-26T20:33:08.9392053Z 2025-08-26T20:33:08.9392427Z Models often benefit from reducing the learning rate by a factor 2025-08-26T20:33:08.9392776Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-08-26T20:33:08.9393124Z quantity and if no improvement is seen for a 'patience' number 2025-08-26T20:33:08.9393350Z of epochs, the learning rate is reduced. 2025-08-26T20:33:08.9393491Z 2025-08-26T20:33:08.9393633Z Args: 2025-08-26T20:33:08.9393882Z optimizer (Optimizer): Wrapped optimizer. 2025-08-26T20:33:08.9394152Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-08-26T20:33:08.9394510Z be reduced when the quantity monitored has stopped 2025-08-26T20:33:08.9394802Z decreasing; in `max` mode it will be reduced when the 2025-08-26T20:33:08.9395150Z quantity monitored has stopped increasing. Default: 'min'. 2025-08-26T20:33:08.9395481Z factor (float): Factor by which the learning rate will be 2025-08-26T20:33:08.9395724Z reduced. new_lr = lr * factor. Default: 0.1. 2025-08-26T20:33:08.9396137Z patience (int): The number of allowed epochs with no improvement after 2025-08-26T20:33:08.9396359Z which the learning rate will be reduced. 2025-08-26T20:33:08.9396780Z For example, consider the case of having no patience (`patience = 0`). 2025-08-26T20:33:08.9397488Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-08-26T20:33:08.9397872Z In the second epoch, if the performance is worse than the baseline, 2025-08-26T20:33:08.9398157Z we have what is considered an intolerable epoch. 2025-08-26T20:33:08.9398655Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-08-26T20:33:08.9398967Z the learning rate is reduced at the end of this epoch. 2025-08-26T20:33:08.9399593Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-08-26T20:33:08.9400199Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-08-26T20:33:08.9400420Z the learning rate is not adjusted. 2025-08-26T20:33:08.9400586Z Default: 10. 2025-08-26T20:33:08.9400941Z threshold (float): Threshold for measuring the new optimum, 2025-08-26T20:33:08.9401228Z to only focus on significant changes. Default: 1e-4. 2025-08-26T20:33:08.9401547Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-08-26T20:33:08.9401851Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-08-26T20:33:08.9402099Z mode or best * ( 1 - threshold ) in `min` mode. 2025-08-26T20:33:08.9402399Z In `abs` mode, dynamic_threshold = best + threshold in 2025-08-26T20:33:08.9402715Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-08-26T20:33:08.9403026Z cooldown (int): Number of epochs to wait before resuming 2025-08-26T20:33:08.9403359Z normal operation after lr has been reduced. Default: 0. 2025-08-26T20:33:08.9403648Z min_lr (float or list): A scalar or a list of scalars. A 2025-08-26T20:33:08.9403949Z lower bound on the learning rate of all param groups 2025-08-26T20:33:08.9404175Z or each group respectively. Default: 0. 2025-08-26T20:33:08.9404492Z eps (float): Minimal decay applied to lr. If the difference 2025-08-26T20:33:08.9404836Z between new and old lr is smaller than eps, the update is 2025-08-26T20:33:08.9405021Z ignored. Default: 1e-8. 2025-08-26T20:33:08.9405172Z 2025-08-26T20:33:08.9405386Z Example: 2025-08-26T20:33:08.9405555Z >>> # xdoctest: +SKIP 2025-08-26T20:33:08.9405983Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-08-26T20:33:08.9406254Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-08-26T20:33:08.9406450Z >>> for epoch in range(10): 2025-08-26T20:33:08.9406606Z >>> train(...) 2025-08-26T20:33:08.9406795Z >>> val_loss = validate(...) 2025-08-26T20:33:08.9407076Z >>> # Note that step should be called after validate() 2025-08-26T20:33:08.9407277Z >>> scheduler.step(val_loss) 2025-08-26T20:33:08.9407428Z 2025-08-26T20:33:08.9407841Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-08-26T20:33:08.9408074Z 2025-08-26T20:33:08.9408847Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n')) 2025-08-26T20:33:08.9408988Z 2025-08-26T20:33:08.9409190Z scheduler.step(val_loss) 2025-08-26T20:33:08.9409329Z ^ 2025-08-26T20:33:08.9409490Z warnings.warn(msg) 2025-08-26T20:33:08.9409642Z 2025-08-26T20:33:08.9409844Z  2025-08-26T20:33:08.9410336Z === Found 9 run-time warnings === 2025-08-26T20:33:08.9410667Z --- Runtime Warning: 1 / 9 --- 2025-08-26T20:33:08.9411152Z example = 2025-08-26T20:33:08.9413832Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_tensor.py:1351: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1974.) 2025-08-26T20:33:08.9414032Z return super().refine_names(names) 2025-08-26T20:33:08.9414180Z 2025-08-26T20:33:08.9414487Z --- Runtime Warning: 2 / 9 --- 2025-08-26T20:33:08.9415069Z example = 2025-08-26T20:33:08.9416289Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/library.py:282: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-08-26T20:33:08.9416878Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-08-26T20:33:08.9417257Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-08-26T20:33:08.9417812Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-08-26T20:33:08.9417978Z dispatch key: CPU 2025-08-26T20:33:08.9418817Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-08-26T20:33:08.9419892Z new kernel: registered at /dev/null:811 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:225.) 2025-08-26T20:33:08.9420185Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-08-26T20:33:08.9420324Z 2025-08-26T20:33:08.9420649Z --- Runtime Warning: 3 / 9 --- 2025-08-26T20:33:08.9421082Z example = 2025-08-26T20:33:08.9424740Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:182.) 2025-08-26T20:33:08.9425211Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-08-26T20:33:08.9425348Z 2025-08-26T20:33:08.9425668Z --- Runtime Warning: 4 / 9 --- 2025-08-26T20:33:08.9426285Z example = 2025-08-26T20:33:08.9429488Z :1: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:55.) 2025-08-26T20:33:08.9429628Z 2025-08-26T20:33:08.9429949Z --- Runtime Warning: 5 / 9 --- 2025-08-26T20:33:08.9430525Z example = 2025-08-26T20:33:08.9433600Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/const_fold.py:271: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer 2025-08-26T20:33:08.9433848Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-08-26T20:33:08.9433929Z 2025-08-26T20:33:08.9434120Z --- Runtime Warning: 6 / 9 --- 2025-08-26T20:33:08.9434406Z example = 2025-08-26T20:33:08.9435493Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-08-26T20:33:08.9435592Z warnings.warn( 2025-08-26T20:33:08.9435670Z 2025-08-26T20:33:08.9435854Z --- Runtime Warning: 7 / 9 --- 2025-08-26T20:33:08.9436183Z example = 2025-08-26T20:33:08.9437265Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-08-26T20:33:08.9437356Z warnings.warn( 2025-08-26T20:33:08.9437435Z 2025-08-26T20:33:08.9437616Z --- Runtime Warning: 8 / 9 --- 2025-08-26T20:33:08.9437889Z example = 2025-08-26T20:33:08.9438706Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-08-26T20:33:08.9438824Z WeightNorm.apply(module, name, dim) 2025-08-26T20:33:08.9438927Z 2025-08-26T20:33:08.9439099Z --- Runtime Warning: 9 / 9 --- 2025-08-26T20:33:08.9439407Z example = 2025-08-26T20:33:08.9440222Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-08-26T20:33:08.9440344Z WeightNorm.apply(module, name, dim) 2025-08-26T20:33:08.9440440Z 2025-08-26T20:33:08.9440732Z === 374 passed, 488 skipped, 26 warnings in 20.14 seconds === 2025-08-26T20:33:08.9440958Z Running dynamo/test_fake_distributed 1/1 ... [2025-08-26 20:33:08.862682] 2025-08-26T20:33:08.9441088Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:08.9441978Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:08.863180] 2025-08-26T20:33:12.9725090Z 2025-08-26T20:33:12.9726364Z dynamo/test_fake_distributed 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fake_distributed_1.1_240b25e0d8da2341_.log 2025-08-26T20:33:12.9727460Z 2025-08-26T20:33:12.9734933Z Running test_utils 1/1 ... [2025-08-26 20:33:12.973335] 2025-08-26T20:33:12.9735349Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:33:12.9740087Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:12.973801] 2025-08-26T20:38:38.5956387Z 2025-08-26T20:38:38.5960006Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_ccacb0e42e0d2e3b_.log 2025-08-26T20:38:38.8240844Z Running 6049 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint, test/test_utils.py::TestCheckpoint::test_checkpoint_module_list, test/test_utils.py::TestCheckpoint::test_checkpoint_no_tensors, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor_inputs_outputs, test/test_utils.py::TestCheckpoint::test_checkpoint_not_preserve_rng_state_and_without_reentrant, test/test_utils.py::TestCheckpoint::test_checkpoint_partial_grad, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cpu, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cuda, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_multiple_args, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_no_args, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_valid, test/test_utils.py::TestCheckpoint::test_checkpointing_without_reentrant_early_free, test/test_utils.py::TestCheckpoint::test_get_device_states_recursive, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_meta, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_multi_cuda, test/test_utils.py::TestDataLoaderUtils::test_multi_drop, test/test_utils.py::TestDataLoaderUtils::test_multi_keep, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_single_drop, test/test_utils.py::TestDataLoaderUtils::test_single_keep, test/test_utils.py::TestBottleneck::test_bottleneck_cpu_only, test/test_utils.py::TestBottleneck::test_bottleneck_cuda, test/test_utils.py::TestCollectEnv::test_smoke, test/test_utils.py::TestONNXUtils::test_check_onnx_broadcast, test/test_utils.py::TestONNXUtils::test_prepare_onnx_paddings, test/test_utils.py::TestHipify::test_import_hipify, test/test_utils.py::TestHipifyTrie::test_add_and_search_trie, test/test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie, test/test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_quote_escape, test/test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex, test/test_utils.py::TestAssert::test_assert_scriptable, test/test_utils.py::TestAssert::test_assert_true, test/test_utils.py::TestStandaloneCPPJIT::test_load_standalone, test/test_utils.py::TestRenderUtils::test_basic, test/test_utils.py::TestDeviceUtilsCPU::test_basic_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_generator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_uint8, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_one_hot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex128, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bool, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bfloat16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_more_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_nn_module_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_set_default_device_cpu, test/test_utils.py::TestCppExtensionUtils::test_cc_compiler_is_ok, test/test_utils.py::TestCppExtensionUtils::test_cpp_compiler_is_ok, test/test_utils.py::TestTraceback::test_basic, test/test_utils.py::TestTraceback::test_captured_traceback, test/test_utils.py::TestTraceback::test_captured_traceback_format_all, test/test_utils.py::TestTraceback::test_captured_traceback_format_all_cached, test/test_utils.py::TestTraceback::test_format_traceback_short, test/test_utils.py::TestTryImport::test_import_existing, test/test_utils.py::TestTryImport::test_import_imported, test/test_utils.py::TestTryImport::test_import_missing, test/test_utils.py::TestDeprecate::test_deprecated 2025-08-26T20:38:39.0860191Z 2025-08-26T20:38:39.0860384Z Running test_fx 1/1 ... [2025-08-26 20:38:38.608053] 2025-08-26T20:38:39.0860817Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:38:39.0861837Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:38.608804] 2025-08-26T20:46:54.8230654Z 2025-08-26T20:46:54.8231443Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_273b716b6523c95a_.log 2025-08-26T20:46:54.8720628Z Running 1261 items in this shard: test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cpu, test/test_fx.py::TestCSEPass::test_banned_list, test/test_fx.py::TestCSEPass::test_empty, test/test_fx.py::TestCSEPass::test_immutable_list_multiple_entries, test/test_fx.py::TestCSEPass::test_immutable_list_type, test/test_fx.py::TestCSEPass::test_kwarg, test/test_fx.py::TestCSEPass::test_nested_immutable_list_type, test/test_fx.py::TestCSEPass::test_nochange, test/test_fx.py::TestCSEPass::test_rand_like, test/test_fx.py::TestCSEPass::test_rand_n, test/test_fx.py::TestCSEPass::test_random, test/test_fx.py::TestCSEPass::test_simple, test/test_fx.py::TestCSEPass::test_simple_2, test/test_fx.py::TestCSEPass::test_simple_multiple_same_ops, test/test_fx.py::TestCSEPass::test_two_args, test/test_fx.py::TestCSEPass::test_two_args_default, test/test_fx.py::TestDCE::test_dead_chain, test/test_fx.py::TestDCE::test_dead_getattr, test/test_fx.py::TestDCE::test_dead_placeholder, test/test_fx.py::TestDCE::test_dead_placeholder_with_user, test/test_fx.py::TestDCE::test_impure_custom, test/test_fx.py::TestDCE::test_impure_kwargs, test/test_fx.py::TestDCE::test_impure_nodes_args, test/test_fx.py::TestDCE::test_impure_random, test/test_fx.py::TestDCE::test_keep_collectives, test/test_fx.py::TestDCE::test_keep_collectives_no_overload, test/test_fx.py::TestDCE::test_keep_module_with_side_effects, test/test_fx.py::TestDCE::test_keep_setitem, test/test_fx.py::TestDCE::test_keep_torch_assert, test/test_fx.py::TestDCE::test_simple, test/test_fx.py::TestConstFold::test_check_inline_non_const, test/test_fx.py::TestConstFold::test_check_inline_non_const_mult_return, test/test_fx.py::TestConstFold::test_check_skip_folding_quant_dequant_pattern, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_no_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_placeholder_reordered, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr_three_input, test/test_fx.py::TestConstFold::test_const_fold_has_inlined_call_module_node, test/test_fx.py::TestConstFold::test_const_fold_module_attr, test/test_fx.py::TestConstFold::test_const_fold_multi_const_folded_attrs, test/test_fx.py::TestConstFold::test_const_fold_noop, test/test_fx.py::TestConstFold::test_const_fold_submod_hierarchy, test/test_fx.py::TestConstFold::test_const_fold_tensor_meta, test/test_fx.py::TestConstFold::test_const_fold_unused_placeholder, test/test_fx.py::TestConstFold::test_dict_output, test/test_fx.py::TestConstFold::test_fold_module, test/test_fx.py::TestConstFold::test_retain_node_meta, test/test_fx.py::TestConstFold::test_three_outputs, test/test_fx.py::TestConstFold::test_two_outputs, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_dim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_ndim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_nelement_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_numel_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_shape_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_size_const, test/test_fx.py::AnnotationsTest::test_annotate, test/test_fx.py::AnnotationsTest::test_annotations, test/test_fx.py::AnnotationsTest::test_broadcasting1, test/test_fx.py::AnnotationsTest::test_broadcasting2, test/test_fx.py::AnnotationsTest::test_broadcasting3, test/test_fx.py::AnnotationsTest::test_consistency, test/test_fx.py::AnnotationsTest::test_precision, test/test_fx.py::TypeCheckerTest::test_flatten_fully_static, test/test_fx.py::TypeCheckerTest::test_resnet50, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast_2, test/test_fx.py::TypeCheckerTest::test_type_check_add_false, test/test_fx.py::TypeCheckerTest::test_type_check_add_true, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_scalar, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_false, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_symbolic, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2_fully_static, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_types, test/test_fx.py::TypeCheckerTest::test_type_check_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_flatten3, test/test_fx.py::TypeCheckerTest::test_type_check_flatten_2, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true_param_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_true, test/test_fx.py::TypeCheckerTest::test_type_check_symbolic_inferenceconv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_False, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_true, test/test_fx.py::TypeCheckerTest::test_type_maxpool2d_fully_static, test/test_fx.py::TypeCheckerTest::test_type_typechecl_maxpool2d_3dinput, test/test_fx.py::TypeCheckerTest::test_typecheck_basicblock, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_function, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_module, test/test_fx.py::TestMatcher::test_split_to_graph_and_name_node_map, test/test_fx.py::TestMatcher::test_subgraph_matcher_ignore_literals, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_attributes, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list_bad, test/test_fx.py::TestMatcher::test_variatic_arg_matching, test/test_fx.py::TestPassManager::test_pass_manager, test/test_fx.py::TestPassManager::test_pass_manager_bad_checks, test/test_fx.py::TestPassManager::test_pass_manager_checks, test/test_fx.py::TestPassManager::test_pass_manager_error, test/test_fx.py::TestPassManager::test_this_before_that_pass_constraint, test/test_fx.py::TestPassManager::test_topological_sort, test/test_fx.py::TestSourceMatcher::test_legalize_slice, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_True, test/test_fx.py::TestSubgraphRewriter::test_matching_pattern_with_list_type_arg, test/test_fx.py::TestSubgraphRewriter::test_matching_variable_arguments, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_callback, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_filters, test/test_fx.py::TestSubgraphRewriter::test_replaced_nodes, test/test_fx.py::TestSubgraphRewriter::test_replacement_with_attrs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_call_method, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_graph_argument_order, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_local_revert, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_nodes_with_kwargs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_placeholder_matching, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_consecutive_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_duplicated_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_multiple_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_overlapping_matches, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_trivial_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_args, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_results, test/test_fx.py::TestFX::test_all_input_nodes, test/test_fx.py::TestFX::test_annotation_with_future, test/test_fx.py::TestFX::test_annotations_empty_tuple, test/test_fx.py::TestFX::test_annotations_with_forward_references, test/test_fx.py::TestFX::test_annotations_with_no_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_internal_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_no_internal_forward_references, test/test_fx.py::TestFX::test_args_kwargs, test/test_fx.py::TestFX::test_args_kwargs_no_self, test/test_fx.py::TestFX::test_assert, test/test_fx.py::TestFX::test_ast_rewriter_reassigns_submodules, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert_with_message, test/test_fx.py::TestFX::test_ast_rewriter_wrap, test/test_fx.py::TestFX::test_ast_rewriter_wrap_fn_directly, test/test_fx.py::TestFX::test_ast_rewriter_wrap_with_submodule, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_autowrap_functions, test/test_fx.py::TestFX::test_concrete_arg_none_assert, test/test_fx.py::TestFX::test_construct_root_dict, test/test_fx.py::TestFX::test_control_flow_tracing, test/test_fx.py::TestFX::test_copy_it, test/test_fx.py::TestFX::test_copy_no_remap, test/test_fx.py::TestFX::test_ctx_mgr, test/test_fx.py::TestFX::test_custom_codegen, test/test_fx.py::TestFX::test_custom_codegen_with_transformer, test/test_fx.py::TestFX::test_custom_import, test/test_fx.py::TestFX::test_custom_proxy_dynamic_value, test/test_fx.py::TestFX::test_custom_proxy_input_dependent_control_flow, test/test_fx.py::TestFX::test_custom_proxy_type, test/test_fx.py::TestFX::test_custom_proxy_type_literal, test/test_fx.py::TestFX::test_custom_traceback_not_raised_when_exception_source_is_submodule, test/test_fx.py::TestFX::test_custom_traceback_raised_when_exception_source_is_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graph_with_tracer_cls, test/test_fx.py::TestFX::test_deepcopy_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graphmodule_with_transform, test/test_fx.py::TestFX::test_deepcopy_no_recursion, test/test_fx.py::TestFX::test_deepcopy_recursion_depth, test/test_fx.py::TestFX::test_deepcopy_tracer, test/test_fx.py::TestFX::test_deepcopy_with_submods_params, test/test_fx.py::TestFX::test_delete_unused_submodules_leaf, test/test_fx.py::TestFX::test_delete_unused_values, test/test_fx.py::TestFX::test_dict, test/test_fx.py::TestFX::test_direct_param_use, test/test_fx.py::TestFX::test_disallow_override, test/test_fx.py::TestFX::test_ellipsis, test/test_fx.py::TestFX::test_empty_graph_codegen, test/test_fx.py::TestFX::test_enum, test/test_fx.py::TestFX::test_erase_node_error, test/test_fx.py::TestFX::test_example_shape_prop, test/test_fx.py::TestFX::test_find_uses, test/test_fx.py::TestFX::test_fn_type_annotation_empty, test/test_fx.py::TestFX::test_fn_type_annotations, test/test_fx.py::TestFX::test_fx_and_or, test/test_fx.py::TestFX::test_fx_create_arg, test/test_fx.py::TestFX::test_fx_shifts, test/test_fx.py::TestFX::test_fx_stateless, test/test_fx.py::TestFX::test_get_torch_func_signature, test/test_fx.py::TestFX::test_getitem, test/test_fx.py::TestFX::test_getitem_subproc, test/test_fx.py::TestFX::test_graph_edit_with_proxy, test/test_fx.py::TestFX::test_graph_fns, test/test_fx.py::TestFX::test_graph_module, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_dict_init, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_mod_init, test/test_fx.py::TestFX::test_graph_module_replicate_for_dp, test/test_fx.py::TestFX::test_graph_unique_names, test/test_fx.py::TestFX::test_graph_unique_names_manual, test/test_fx.py::TestFX::test_immutable_dict_pytree_ops, test/test_fx.py::TestFX::test_immutable_list_pytree_ops, test/test_fx.py::TestFX::test_imul_code_print, test/test_fx.py::TestFX::test_inf_nan, test/test_fx.py::TestFX::test_inf_nan_kwds, test/test_fx.py::TestFX::test_informative_co_filename, test/test_fx.py::TestFX::test_inline_graph, test/test_fx.py::TestFX::test_insert_arg, test/test_fx.py::TestFX::test_insertion_point, test/test_fx.py::TestFX::test_interpreter, test/test_fx.py::TestFX::test_interpreter_default_args, test/test_fx.py::TestFX::test_interpreter_gc_values, test/test_fx.py::TestFX::test_interpreter_noop_resnet18, test/test_fx.py::TestFX::test_interpreter_not_enough_args, test/test_fx.py::TestFX::test_interpreter_onthefly_swap, test/test_fx.py::TestFX::test_interpreter_other_graph, test/test_fx.py::TestFX::test_interpreter_partial_eval, test/test_fx.py::TestFX::test_interpreter_run_node_override, test/test_fx.py::TestFX::test_interpreter_star_args, test/test_fx.py::TestFX::test_interpreter_with_codegen, test/test_fx.py::TestFX::test_layout, test/test_fx.py::TestFX::test_leaf_module, test/test_fx.py::TestFX::test_lineno_map, test/test_fx.py::TestFX::test_matmul_tracing, test/test_fx.py::TestFX::test_metadata_on_ph, test/test_fx.py::TestFX::test_module_deepcopy_edit_nodes, test/test_fx.py::TestFX::test_move_before, test/test_fx.py::TestFX::test_multi_insert_point, test/test_fx.py::TestFX::test_multiple_default_args, test/test_fx.py::TestFX::test_named_tuple_inlined, test/test_fx.py::TestFX::test_namedtuple_return_qualname, test/test_fx.py::TestFX::test_namedtuple_return_trace, test/test_fx.py::TestFX::test_native_callable, test/test_fx.py::TestFX::test_nn_module_stack, test/test_fx.py::TestFX::test_no_mutation, test/test_fx.py::TestFX::test_node_tagging, test/test_fx.py::TestFX::test_nonetype_annotation, test/test_fx.py::TestFX::test_partial_trace, test/test_fx.py::TestFX::test_pickle_custom_import, test/test_fx.py::TestFX::test_pickle_graphmodule, test/test_fx.py::TestFX::test_pickle_nonetype_annotation, test/test_fx.py::TestFX::test_pickle_torch_custom_ops, test/test_fx.py::TestFX::test_prepend_self, test/test_fx.py::TestFX::test_pretty_print, test/test_fx.py::TestFX::test_pretty_print_graph, test/test_fx.py::TestFX::test_pretty_print_node, test/test_fx.py::TestFX::test_pretty_print_targets, test/test_fx.py::TestFX::test_print_graph, test/test_fx.py::TestFX::test_profiler_ranges_side_effect, test/test_fx.py::TestFX::test_proxy_deepcopy_with_tracer, test/test_fx.py::TestFX::test_proxy_deepcopy_without_tracer, test/test_fx.py::TestFX::test_pytree, test/test_fx.py::TestFX::test_pytree_concrete, test/test_fx.py::TestFX::test_reassign_args_kwargs_uses, test/test_fx.py::TestFX::test_regular_and_default_args, test/test_fx.py::TestFX::test_remove_uses, test/test_fx.py::TestFX::test_remove_uses_with_custom_filter, test/test_fx.py::TestFX::test_replace_input, test/test_fx.py::TestFX::test_replace_uses, test/test_fx.py::TestFX::test_reserved_getattr, test/test_fx.py::TestFX::test_return_tuple, test/test_fx.py::TestFX::test_return_type_exists, test/test_fx.py::TestFX::test_return_type_exists_pre_pep585, test/test_fx.py::TestFX::test_script_method_trace, test/test_fx.py::TestFX::test_script_tensor_constant, test/test_fx.py::TestFX::test_sequential, test/test_fx.py::TestFX::test_shape_prop_aggregate, test/test_fx.py::TestFX::test_shape_prop_layout, test/test_fx.py::TestFX::test_shape_prop_layout_3d, test/test_fx.py::TestFX::test_shape_prop_unbacked_sym, test/test_fx.py::TestFX::test_single_default_arg, test/test_fx.py::TestFX::test_snake_case, test/test_fx.py::TestFX::test_sqrt, test/test_fx.py::TestFX::test_stack_traces, test/test_fx.py::TestFX::test_stack_traces_with_transformer, test/test_fx.py::TestFX::test_string_literal_return, test/test_fx.py::TestFX::test_submodule_manipulation_API, test/test_fx.py::TestFX::test_symbolic_trace_assert, test/test_fx.py::TestFX::test_symbolic_trace_sequential, test/test_fx.py::TestFX::test_tensor_attribute, test/test_fx.py::TestFX::test_tensor_attribute_coalseced, test/test_fx.py::TestFX::test_tensor_constant, test/test_fx.py::TestFX::test_throw_out_variant, test/test_fx.py::TestFX::test_torch_custom_ops, test/test_fx.py::TestFX::test_torch_fx_getattr, test/test_fx.py::TestFX::test_torch_fx_len, test/test_fx.py::TestFX::test_torch_op_overloads, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx_tensor_arg, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_dict_int_keys, test/test_fx.py::TestFX::test_trace_dict_proxy_keys, test/test_fx.py::TestFX::test_trace_fn_constant, test/test_fx.py::TestFX::test_trace_function, test/test_fx.py::TestFX::test_trace_multiple_funcs, test/test_fx.py::TestFX::test_trace_return_dataclass, test/test_fx.py::TestFX::test_trace_return_dataclass_nested, test/test_fx.py::TestFX::test_trace_return_namedtuple, test/test_fx.py::TestFX::test_tracing_graphmodules_as_leaf_submodules, test/test_fx.py::TestFX::test_transformer_multi_outputs, test/test_fx.py::TestFX::test_transformer_noop, test/test_fx.py::TestFX::test_transformer_op_swap, test/test_fx.py::TestFX::test_transformer_preserves_nn_module_stack_for_get_attr, test/test_fx.py::TestFX::test_tuple_no_subscript, test/test_fx.py::TestFX::test_typename_print, test/test_fx.py::TestFX::test_typename_print_pre_pep585, test/test_fx.py::TestFX::test_unpack, test/test_fx.py::TestFX::test_unpack_dict_better_error, test/test_fx.py::TestFX::test_unpack_list_better_error, test/test_fx.py::TestFX::test_update_args_api, test/test_fx.py::TestFX::test_update_args_kwargs_yells_at_you, test/test_fx.py::TestFX::test_update_kwargs_api, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_function, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_module, test/test_fx.py::TestFX::test_varargs_concrete, test/test_fx.py::TestFX::test_wrap, test/test_fx.py::TestFX::test_wrap_decorated_function, test/test_fx.py::TestFX::test_wrap_fn_directly, test/test_fx.py::TestFX::test_wrap_with_submodule, test/test_fx.py::TestFX::test_wrapped_method, test/test_fx.py::TestFX::test_wrapped_retrace, test/test_fx.py::TestFX::test_wrapped_via_decorator, test/test_fx.py::TestFX::test_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_wrong_target_type, test/test_fx.py::TestFX::test_wrong_topo, test/test_fx.py::TestFXAPIBackwardCompatibility::test_adding_side_effect_function, test/test_fx.py::TestFXAPIBackwardCompatibility::test_class_member_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_function_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_preserve_unused_attr_after_unpickle, test/test_fx.py::TestFXAPIBackwardCompatibility::test_public_api_surface, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_affine_grid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_batch_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy_with_logits, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_tbc, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_similarity, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_ctc_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding_bag, test/test_fx.py::TestFunctionalTracing::test_nn_functional_feature_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gaussian_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_glu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_grid_sample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_group_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gumbel_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardswish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hinge_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_huber_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_instance_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_interpolate, test/test_fx.py::TestFunctionalTracing::test_nn_functional_kl_div, test/test_fx.py::TestFunctionalTracing::test_nn_functional_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_layer_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_linear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_local_response_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_log_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_logsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_margin_ranking_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mse_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_head_attention_forward, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_native_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_normalize, test/test_fx.py::TestFunctionalTracing::test_nn_functional_one_hot, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pad, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pairwise_distance, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pdist, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_unshuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_poisson_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_prelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu6, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rms_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_scaled_dot_product_attention, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_silu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_smooth_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmin, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softplus, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_with_distance_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_unfold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_nearest, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_H_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_T_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___getitem___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___radd___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rdiv___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmatmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmod___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rpow___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rsub___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__batch_norm_with_update_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__chunk_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__native_batch_norm_legit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_lengths_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_offsets_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__softmax_backward_data_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_abs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcdiv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_decomposed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_alias_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_all_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_allclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_aminmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_angle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_any_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_arange_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argsort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argwhere_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_partial_views_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_baddbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bernoulli_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bfloat16_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_block_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bool_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_shapes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bucketize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_byte_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cartesian_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cauchy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdouble_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ceil_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cfloat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chalf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_char_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_inverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_max_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_min_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clone_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_column_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_combinations_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_physical_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_constant_pad_nd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_contiguous_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_copysign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_corrcoef_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_count_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cov_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumulative_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_deg2rad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_embed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagflat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diff_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_digamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_floor_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_no_rounding_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_trunc_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_double_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_einsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_permuted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_equal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expm1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eye_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flip_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fliplr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flipud_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gather_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ge_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geometric_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geqrf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gradient_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_half_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hash_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_heaviside_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogram_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogramdd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hypot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igammac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_inner_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_int_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isfinite_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isnan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isneginf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isposinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isreal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_item_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_unary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kron_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kthvalue_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ldexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_le_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lerp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lgamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cond_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_det_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eig_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvalsh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_householder_product_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_multi_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_singular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_slogdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_triangular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svdvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorsolve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vander_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vecdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vector_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log10_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log1p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logcumsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_and_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_not_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_or_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_xor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_long_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_unpack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mH_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mT_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matrix_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_maximum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_minimum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_movedim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_msort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_multinomial_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nan_to_num_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmedian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanquantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nansum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_dropout_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ne_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nextafter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_celu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_ctc_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_elu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_glu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_grid_sample_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_group_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardswish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardtanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_instance_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_area_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bicubic_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_kl_div_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_local_response_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_negative_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_prelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu6_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rms_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rrelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_selu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_silu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softplus_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softsign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_tanhshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_threshold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_static_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_fro_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_inf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_nuc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_in_place_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_number_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ormqr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_outer_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pca_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pinverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polar_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_positive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_quantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rad2deg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rand_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ravel_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_real_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reciprocal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_remainder_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_renorm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_interleave_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize_as__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_roll_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rot90_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_neg_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scalar_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_searchsorted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sgn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_short_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_bartlett_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_blackman_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_gaussian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hann_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_kaiser_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_nuttall_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signbit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_mm_reduce_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_airy_ai_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_entr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_erfcx_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i0e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_log_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtri_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_xlog1py_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_zeta_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_list_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_square_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_multiple_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_to_size_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_along_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensor_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensordot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_sparse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_topk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapz_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triangular_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tril_cpu_float32, 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test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_xlogy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zero__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_like_cpu_float32, test/test_fx.py::TestVisionTracing::test_torchvision_models_alexnet, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_base, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_small, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_tiny, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet121, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet161, 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test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mvit_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_r2plus1d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_r3d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_s3d, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_b_16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_b_32, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_h_14, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_l_16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_l_32, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet101_2, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet50_2 2025-08-26T20:46:54.9190737Z 2025-08-26T20:46:55.3504556Z Uploading artifacts took 0.52 seconds 2025-08-26T20:46:55.3509081Z Running test_transformers_privateuse1 1/1 ... [2025-08-26 20:46:55.350700] 2025-08-26T20:46:57.0037848Z -- The CXX compiler identification is Clang 12.0.1 2025-08-26T20:46:57.0928909Z -- The C compiler identification is Clang 12.0.1 2025-08-26T20:46:57.1201189Z -- Detecting CXX compiler ABI info 2025-08-26T20:46:57.3222786Z -- Detecting CXX compiler ABI info - done 2025-08-26T20:46:57.3358498Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-08-26T20:46:57.3367951Z -- Detecting CXX compile features 2025-08-26T20:46:57.3380446Z -- Detecting CXX compile features - done 2025-08-26T20:46:57.3637609Z -- Detecting C compiler ABI info 2025-08-26T20:46:57.4871627Z -- Detecting C compiler ABI info - done 2025-08-26T20:46:57.5000407Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-08-26T20:46:57.5004491Z -- Detecting C compile features 2025-08-26T20:46:57.5009714Z -- Detecting C compile features - done 2025-08-26T20:46:57.9145684Z CMake Warning at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-08-26T20:46:57.9146471Z static library kineto_LIBRARY-NOTFOUND not found. 2025-08-26T20:46:57.9146855Z Call Stack (most recent call first): 2025-08-26T20:46:57.9147563Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-08-26T20:46:57.9148280Z CMakeLists.txt:29 (find_package) 2025-08-26T20:46:57.9148485Z 2025-08-26T20:46:57.9148593Z  2025-08-26T20:46:57.9154204Z -- Found Torch: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch.so 2025-08-26T20:46:57.9263631Z -- Configuring done (1.3s) 2025-08-26T20:46:57.9402760Z -- Generating done (0.0s) 2025-08-26T20:46:57.9419218Z -- Build files have been written to: /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/build 2025-08-26T20:46:58.0337524Z [ 5%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o 2025-08-26T20:46:58.0339162Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o 2025-08-26T20:46:58.1454916Z [ 17%] Linking CXX shared library libopenreg.so 2025-08-26T20:46:58.2263247Z [ 17%] Built target openreg 2025-08-26T20:46:58.2359919Z [ 23%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o 2025-08-26T20:46:58.2361499Z [ 29%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o 2025-08-26T20:46:58.2365340Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o 2025-08-26T20:46:58.2366736Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o 2025-08-26T20:46:58.2369757Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o 2025-08-26T20:46:58.2373780Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o 2025-08-26T20:46:58.2378465Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o 2025-08-26T20:46:58.2387471Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o 2025-08-26T20:46:58.4379195Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o 2025-08-26T20:46:58.4774739Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o 2025-08-26T20:46:58.5200778Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o 2025-08-26T20:46:59.0106969Z [ 88%] Linking CXX shared library libtorch_openreg.so 2025-08-26T20:46:59.5275345Z [ 88%] Built target torch_openreg 2025-08-26T20:46:59.5361837Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o 2025-08-26T20:47:00.2760515Z [100%] Linking CXX shared library libtorch_bindings.so 2025-08-26T20:47:00.6014480Z [100%] Built target torch_bindings 2025-08-26T20:47:00.6080775Z Install the project... 2025-08-26T20:47:00.6103056Z -- Install configuration: "" 2025-08-26T20:47:00.7369657Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated 2025-08-26T20:47:00.7370840Z !! 2025-08-26T20:47:00.7371018Z 2025-08-26T20:47:00.7371224Z ******************************************************************************** 2025-08-26T20:47:00.7372670Z Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0). 2025-08-26T20:47:00.7373406Z 2025-08-26T20:47:00.7373665Z By 2026-Feb-18, you need to update your project and remove deprecated calls 2025-08-26T20:47:00.7374166Z or your builds will no longer be supported. 2025-08-26T20:47:00.7374425Z 2025-08-26T20:47:00.7374806Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-08-26T20:47:00.7375408Z ******************************************************************************** 2025-08-26T20:47:00.7375650Z 2025-08-26T20:47:00.7375745Z !! 2025-08-26T20:47:00.7375949Z corresp(dist, value, root_dir) 2025-08-26T20:47:00.8103554Z running install 2025-08-26T20:47:00.8117935Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T20:47:00.8118820Z !! 2025-08-26T20:47:00.8118932Z 2025-08-26T20:47:00.8119090Z ******************************************************************************** 2025-08-26T20:47:00.8119533Z Please avoid running ``setup.py`` directly. 2025-08-26T20:47:00.8119943Z Instead, use pypa/build, pypa/installer or other 2025-08-26T20:47:00.8120390Z standards-based tools. 2025-08-26T20:47:00.8120575Z 2025-08-26T20:47:00.8120862Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T20:47:00.8121355Z or your builds will no longer be supported. 2025-08-26T20:47:00.8121656Z 2025-08-26T20:47:00.8121957Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T20:47:00.8122547Z ******************************************************************************** 2025-08-26T20:47:00.8122793Z 2025-08-26T20:47:00.8122885Z !! 2025-08-26T20:47:00.8123136Z self.initialize_options() 2025-08-26T20:47:00.8237844Z running build 2025-08-26T20:47:00.8238116Z running build_py 2025-08-26T20:47:00.8308347Z creating build/lib.linux-x86_64-cpython-39/torch_openreg 2025-08-26T20:47:00.8310004Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-39/torch_openreg 2025-08-26T20:47:00.8318527Z copying torch_openreg/_utils.py -> build/lib.linux-x86_64-cpython-39/torch_openreg 2025-08-26T20:47:00.8334189Z creating build/lib.linux-x86_64-cpython-39/torch_openreg/openreg 2025-08-26T20:47:00.8335498Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-39/torch_openreg/openreg 2025-08-26T20:47:00.8343267Z copying torch_openreg/openreg/meta.py -> build/lib.linux-x86_64-cpython-39/torch_openreg/openreg 2025-08-26T20:47:00.8350952Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-39/torch_openreg/openreg 2025-08-26T20:47:00.8366626Z creating build/lib.linux-x86_64-cpython-39/torch_openreg/lib 2025-08-26T20:47:00.8368048Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-39/torch_openreg/lib 2025-08-26T20:47:00.8381710Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-39/torch_openreg/lib 2025-08-26T20:47:00.8482022Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-39/torch_openreg/lib 2025-08-26T20:47:00.8521527Z running build_ext 2025-08-26T20:47:00.8626671Z building 'torch_openreg._C' extension 2025-08-26T20:47:00.8628079Z creating build/temp.linux-x86_64-cpython-39/torch_openreg/csrc 2025-08-26T20:47:00.8632963Z gcc -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/include/python3.9 -c torch_openreg/csrc/stub.c -o build/temp.linux-x86_64-cpython-39/torch_openreg/csrc/stub.o -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-unknown-pragmas -fno-strict-aliasing 2025-08-26T20:47:00.9639012Z gcc -pthread -B /opt/conda/envs/py_3.9/compiler_compat -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.9/lib -Wl,-rpath-link,/opt/conda/envs/py_3.9/lib -L/opt/conda/envs/py_3.9/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.9/lib -Wl,-rpath-link,/opt/conda/envs/py_3.9/lib -L/opt/conda/envs/py_3.9/lib build/temp.linux-x86_64-cpython-39/torch_openreg/csrc/stub.o -L/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/torch_openreg/lib -ltorch_bindings -o build/lib.linux-x86_64-cpython-39/torch_openreg/_C.cpython-39-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib 2025-08-26T20:47:01.0179359Z running install_lib 2025-08-26T20:47:01.0256237Z creating install/opt/conda/envs/py_3.9/lib/python3.9/site-packages 2025-08-26T20:47:01.0259893Z creating install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg 2025-08-26T20:47:01.0261869Z copying build/lib.linux-x86_64-cpython-39/torch_openreg/__init__.py -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg 2025-08-26T20:47:01.0263558Z copying build/lib.linux-x86_64-cpython-39/torch_openreg/_utils.py -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg 2025-08-26T20:47:01.0265285Z creating install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/openreg 2025-08-26T20:47:01.0266976Z copying build/lib.linux-x86_64-cpython-39/torch_openreg/openreg/__init__.py -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/openreg 2025-08-26T20:47:01.0268702Z copying build/lib.linux-x86_64-cpython-39/torch_openreg/openreg/meta.py -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/openreg 2025-08-26T20:47:01.0270420Z copying build/lib.linux-x86_64-cpython-39/torch_openreg/openreg/random.py -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/openreg 2025-08-26T20:47:01.0271843Z creating install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/lib 2025-08-26T20:47:01.0273240Z copying build/lib.linux-x86_64-cpython-39/torch_openreg/lib/libopenreg.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/lib 2025-08-26T20:47:01.0275610Z copying build/lib.linux-x86_64-cpython-39/torch_openreg/lib/libtorch_openreg.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/lib 2025-08-26T20:47:01.0291377Z copying build/lib.linux-x86_64-cpython-39/torch_openreg/lib/libtorch_bindings.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/lib 2025-08-26T20:47:01.0297261Z copying build/lib.linux-x86_64-cpython-39/torch_openreg/_C.cpython-39-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg 2025-08-26T20:47:01.0310835Z byte-compiling ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/__init__.py to __init__.cpython-39.pyc 2025-08-26T20:47:01.0315155Z byte-compiling ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/_utils.py to _utils.cpython-39.pyc 2025-08-26T20:47:01.0320383Z byte-compiling ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/openreg/__init__.py to __init__.cpython-39.pyc 2025-08-26T20:47:01.0325339Z byte-compiling ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/openreg/meta.py to meta.cpython-39.pyc 2025-08-26T20:47:01.0327986Z byte-compiling ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/openreg/random.py to random.cpython-39.pyc 2025-08-26T20:47:01.0332286Z running install_egg_info 2025-08-26T20:47:01.0468557Z running egg_info 2025-08-26T20:47:01.0538548Z creating torch_openreg.egg-info 2025-08-26T20:47:01.0539803Z writing torch_openreg.egg-info/PKG-INFO 2025-08-26T20:47:01.0545397Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt 2025-08-26T20:47:01.0547777Z writing requirements to torch_openreg.egg-info/requires.txt 2025-08-26T20:47:01.0548974Z writing top-level names to torch_openreg.egg-info/top_level.txt 2025-08-26T20:47:01.0550537Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T20:47:01.0627137Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T20:47:01.0636760Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T20:47:01.0638495Z Copying torch_openreg.egg-info to ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg-0.0.1-py3.9.egg-info 2025-08-26T20:47:01.0644389Z running install_scripts 2025-08-26T20:47:01.4183045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:47:01.4189199Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_transformers_privateuse1.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:47:01.418635] 2025-08-26T20:47:07.0364147Z 2025-08-26T20:47:07.0365359Z test_transformers_privateuse1 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_privateuse1_1.1_ccc3387d9c320b7e_.log 2025-08-26T20:47:07.0367774Z Running 3 items in this shard: test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_fused_sdp_choice_privateuseone, test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable, test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable_backward 2025-08-26T20:47:07.0369498Z 2025-08-26T20:47:07.0372198Z Running test_cpp_api_parity 1/1 ... [2025-08-26 20:47:07.037030] 2025-08-26T20:47:07.0372608Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:47:07.0377966Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:47:07.037567] 2025-08-26T20:51:43.7744649Z 2025-08-26T20:51:43.7745527Z test_cpp_api_parity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_api_parity_1.1_e5cb48c9013033ab_.log 2025-08-26T20:51:43.7940010Z Running 488 items in this shard: test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda 2025-08-26T20:51:43.8255907Z 2025-08-26T20:51:43.8256227Z Running test_extension_utils 1/1 ... [2025-08-26 20:51:43.775908] 2025-08-26T20:51:43.8256859Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:51:43.8258797Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_extension_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:51:43.776415] 2025-08-26T20:51:49.7565262Z 2025-08-26T20:51:49.7566150Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_e3ac787430446b81_.log 2025-08-26T20:51:49.7567737Z Running 2 items in this shard: test/test_extension_utils.py::TestExtensionUtils::test_external_module_register, test/test_extension_utils.py::TestExtensionUtils::test_external_module_register_with_renamed_backend 2025-08-26T20:51:49.7568662Z 2025-08-26T20:51:49.7572414Z Running test_openreg 1/1 ... [2025-08-26 20:51:49.757070] 2025-08-26T20:51:51.2256118Z -- The CXX compiler identification is Clang 12.0.1 2025-08-26T20:51:51.3002735Z -- The C compiler identification is Clang 12.0.1 2025-08-26T20:51:51.3085222Z -- Detecting CXX compiler ABI info 2025-08-26T20:51:51.5020791Z -- Detecting CXX compiler ABI info - done 2025-08-26T20:51:51.5155917Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-08-26T20:51:51.5159545Z -- Detecting CXX compile features 2025-08-26T20:51:51.5166431Z -- Detecting CXX compile features - done 2025-08-26T20:51:51.5278632Z -- Detecting C compiler ABI info 2025-08-26T20:51:51.6455607Z -- Detecting C compiler ABI info - done 2025-08-26T20:51:51.6582983Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-08-26T20:51:51.6586810Z -- Detecting C compile features 2025-08-26T20:51:51.6591999Z -- Detecting C compile features - done 2025-08-26T20:51:51.7674282Z CMake Warning at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-08-26T20:51:51.7675730Z static library kineto_LIBRARY-NOTFOUND not found. 2025-08-26T20:51:51.7676425Z Call Stack (most recent call first): 2025-08-26T20:51:51.7677780Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-08-26T20:51:51.7679413Z CMakeLists.txt:29 (find_package) 2025-08-26T20:51:51.7679826Z 2025-08-26T20:51:51.7680053Z  2025-08-26T20:51:51.7685256Z -- Found Torch: /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch.so 2025-08-26T20:51:51.7713527Z -- Configuring done (0.7s) 2025-08-26T20:51:51.7840033Z -- Generating done (0.0s) 2025-08-26T20:51:51.7852093Z -- Build files have been written to: /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/build 2025-08-26T20:51:51.8777084Z [ 5%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o 2025-08-26T20:51:51.8778205Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o 2025-08-26T20:51:51.9783781Z [ 17%] Linking CXX shared library libopenreg.so 2025-08-26T20:51:52.0581248Z [ 17%] Built target openreg 2025-08-26T20:51:52.0678782Z [ 23%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o 2025-08-26T20:51:52.0682857Z [ 29%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o 2025-08-26T20:51:52.0684573Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o 2025-08-26T20:51:52.0686054Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o 2025-08-26T20:51:52.0691960Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o 2025-08-26T20:51:52.0693734Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o 2025-08-26T20:51:52.0698233Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o 2025-08-26T20:51:52.0709470Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o 2025-08-26T20:51:52.2591547Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o 2025-08-26T20:51:52.3035569Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o 2025-08-26T20:51:52.3233181Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o 2025-08-26T20:51:52.8471217Z [ 88%] Linking CXX shared library libtorch_openreg.so 2025-08-26T20:51:53.3444334Z [ 88%] Built target torch_openreg 2025-08-26T20:51:53.3531024Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o 2025-08-26T20:51:53.9169730Z [100%] Linking CXX shared library libtorch_bindings.so 2025-08-26T20:51:54.2290883Z [100%] Built target torch_bindings 2025-08-26T20:51:54.2357792Z Install the project... 2025-08-26T20:51:54.2383779Z -- Install configuration: "" 2025-08-26T20:51:54.3463060Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated 2025-08-26T20:51:54.3464056Z !! 2025-08-26T20:51:54.3464172Z 2025-08-26T20:51:54.3464320Z ******************************************************************************** 2025-08-26T20:51:54.3465185Z Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0). 2025-08-26T20:51:54.3465930Z 2025-08-26T20:51:54.3466159Z By 2026-Feb-18, you need to update your project and remove deprecated calls 2025-08-26T20:51:54.3466647Z or your builds will no longer be supported. 2025-08-26T20:51:54.3466910Z 2025-08-26T20:51:54.3467286Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-08-26T20:51:54.3467897Z ******************************************************************************** 2025-08-26T20:51:54.3468151Z 2025-08-26T20:51:54.3468247Z !! 2025-08-26T20:51:54.3468460Z corresp(dist, value, root_dir) 2025-08-26T20:51:54.3746157Z running install 2025-08-26T20:51:54.3748885Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T20:51:54.3749740Z !! 2025-08-26T20:51:54.3749853Z 2025-08-26T20:51:54.3749991Z ******************************************************************************** 2025-08-26T20:51:54.3750374Z Please avoid running ``setup.py`` directly. 2025-08-26T20:51:54.3750793Z Instead, use pypa/build, pypa/installer or other 2025-08-26T20:51:54.3751177Z standards-based tools. 2025-08-26T20:51:54.3751368Z 2025-08-26T20:51:54.3751610Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T20:51:54.3752105Z or your builds will no longer be supported. 2025-08-26T20:51:54.3752353Z 2025-08-26T20:51:54.3752666Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T20:51:54.3753222Z ******************************************************************************** 2025-08-26T20:51:54.3753679Z 2025-08-26T20:51:54.3753761Z !! 2025-08-26T20:51:54.3753991Z self.initialize_options() 2025-08-26T20:51:54.3868342Z running build 2025-08-26T20:51:54.3868621Z running build_py 2025-08-26T20:51:54.3938845Z creating build/lib.linux-x86_64-cpython-39/torch_openreg 2025-08-26T20:51:54.3940886Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-39/torch_openreg 2025-08-26T20:51:54.3943142Z copying torch_openreg/_utils.py -> build/lib.linux-x86_64-cpython-39/torch_openreg 2025-08-26T20:51:54.3945984Z creating build/lib.linux-x86_64-cpython-39/torch_openreg/openreg 2025-08-26T20:51:54.3947330Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-39/torch_openreg/openreg 2025-08-26T20:51:54.3949710Z copying torch_openreg/openreg/meta.py -> build/lib.linux-x86_64-cpython-39/torch_openreg/openreg 2025-08-26T20:51:54.3951352Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-39/torch_openreg/openreg 2025-08-26T20:51:54.3961042Z creating build/lib.linux-x86_64-cpython-39/torch_openreg/lib 2025-08-26T20:51:54.3962165Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-39/torch_openreg/lib 2025-08-26T20:51:54.3976123Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-39/torch_openreg/lib 2025-08-26T20:51:54.4073966Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-39/torch_openreg/lib 2025-08-26T20:51:54.4116630Z running build_ext 2025-08-26T20:51:54.4197089Z building 'torch_openreg._C' extension 2025-08-26T20:51:54.4198559Z creating build/temp.linux-x86_64-cpython-39/torch_openreg/csrc 2025-08-26T20:51:54.4203196Z gcc -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/include/python3.9 -c torch_openreg/csrc/stub.c -o build/temp.linux-x86_64-cpython-39/torch_openreg/csrc/stub.o -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-unknown-pragmas -fno-strict-aliasing 2025-08-26T20:51:54.5157707Z gcc -pthread -B /opt/conda/envs/py_3.9/compiler_compat -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.9/lib -Wl,-rpath-link,/opt/conda/envs/py_3.9/lib -L/opt/conda/envs/py_3.9/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.9/lib -Wl,-rpath-link,/opt/conda/envs/py_3.9/lib -L/opt/conda/envs/py_3.9/lib build/temp.linux-x86_64-cpython-39/torch_openreg/csrc/stub.o -L/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/torch_openreg/lib -ltorch_bindings -o build/lib.linux-x86_64-cpython-39/torch_openreg/_C.cpython-39-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib 2025-08-26T20:51:54.5452577Z running install_lib 2025-08-26T20:51:54.5534939Z copying build/lib.linux-x86_64-cpython-39/torch_openreg/lib/libopenreg.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/lib 2025-08-26T20:51:54.5537640Z copying build/lib.linux-x86_64-cpython-39/torch_openreg/lib/libtorch_openreg.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/lib 2025-08-26T20:51:54.5555694Z copying build/lib.linux-x86_64-cpython-39/torch_openreg/lib/libtorch_bindings.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg/lib 2025-08-26T20:51:54.5562312Z copying build/lib.linux-x86_64-cpython-39/torch_openreg/_C.cpython-39-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg 2025-08-26T20:51:54.5570247Z running install_egg_info 2025-08-26T20:51:54.5706325Z running egg_info 2025-08-26T20:51:54.5772916Z writing torch_openreg.egg-info/PKG-INFO 2025-08-26T20:51:54.5778734Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt 2025-08-26T20:51:54.5781816Z writing requirements to torch_openreg.egg-info/requires.txt 2025-08-26T20:51:54.5783443Z writing top-level names to torch_openreg.egg-info/top_level.txt 2025-08-26T20:51:54.5860415Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T20:51:54.5872704Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T20:51:54.5874783Z removing './install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg-0.0.1-py3.9.egg-info' (and everything under it) 2025-08-26T20:51:54.5876721Z Copying torch_openreg.egg-info to ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_openreg-0.0.1-py3.9.egg-info 2025-08-26T20:51:54.5883326Z running install_scripts 2025-08-26T20:51:54.9149624Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:51:54.9156040Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_openreg.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:51:54.915332] 2025-08-26T20:52:09.0982829Z 2025-08-26T20:52:09.0983948Z test_openreg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openreg_1.1_e977443fb71c1387_.log 2025-08-26T20:52:09.0996149Z Running 44 items in this shard: test/test_openreg.py::TestPrivateUse1::test_backend_dispatchstub, test/test_openreg.py::TestPrivateUse1::test_backend_generate_methods, test/test_openreg.py::TestPrivateUse1::test_backend_module_function, test/test_openreg.py::TestPrivateUse1::test_backend_module_methods, test/test_openreg.py::TestPrivateUse1::test_backend_module_registration, test/test_openreg.py::TestPrivateUse1::test_backend_name, test/test_openreg.py::TestPrivateUse1::test_backend_operator_registration, test/test_openreg.py::TestPrivateUse1::test_backend_packed_sequence_methods, test/test_openreg.py::TestPrivateUse1::test_backend_storage_methods, test/test_openreg.py::TestPrivateUse1::test_backend_tensor_methods, test/test_openreg.py::TestPrivateUse1::test_backend_tensor_type, test/test_openreg.py::TestPrivateUse1::test_backend_type_methods, test/test_openreg.py::TestOpenReg::test_autograd_init, test/test_openreg.py::TestOpenReg::test_compile_autograd_function_aliasing, test/test_openreg.py::TestOpenReg::test_compile_autograd_function_returns_self, test/test_openreg.py::TestOpenReg::test_copy_same_device, test/test_openreg.py::TestOpenReg::test_cross_device_copy, test/test_openreg.py::TestOpenReg::test_cross_diff_devices_copy, test/test_openreg.py::TestOpenReg::test_data_dependent_output, test/test_openreg.py::TestOpenReg::test_event_elapsed_time, test/test_openreg.py::TestOpenReg::test_event_wait_stream, test/test_openreg.py::TestOpenReg::test_expand, test/test_openreg.py::TestOpenReg::test_factory, test/test_openreg.py::TestOpenReg::test_fake_tensor, test/test_openreg.py::TestOpenReg::test_generator, test/test_openreg.py::TestOpenReg::test_manual_seed, test/test_openreg.py::TestOpenReg::test_named_tensor, test/test_openreg.py::TestOpenReg::test_open_device_cpu_serialization, test/test_openreg.py::TestOpenReg::test_open_device_dlpack, test/test_openreg.py::TestOpenReg::test_open_device_numpy_serialization, test/test_openreg.py::TestOpenReg::test_pin_memory, test/test_openreg.py::TestOpenReg::test_printing, test/test_openreg.py::TestOpenReg::test_quantize, test/test_openreg.py::TestOpenReg::test_record_event, test/test_openreg.py::TestOpenReg::test_resize, test/test_openreg.py::TestOpenReg::test_rewrapped_storage, test/test_openreg.py::TestOpenReg::test_rng_state, test/test_openreg.py::TestOpenReg::test_scalar_type_fallback, test/test_openreg.py::TestOpenReg::test_serialization, test/test_openreg.py::TestOpenReg::test_stream_synchronize, test/test_openreg.py::TestOpenReg::test_stream_wait_event, test/test_openreg.py::TestOpenReg::test_stream_wait_stream, test/test_openreg.py::TestOpenReg::test_tensor_type_fallback, test/test_openreg.py::TestOpenReg::test_tensorlist_type_fallback 2025-08-26T20:52:09.1007820Z 2025-08-26T20:52:09.1008029Z Running test_show_pickle 1/1 ... [2025-08-26 20:52:09.098970] 2025-08-26T20:52:09.1008438Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:09.1009673Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:09.099497] 2025-08-26T20:52:14.7172343Z 2025-08-26T20:52:14.7173174Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_6b3d4ff5c9a40372_.log 2025-08-26T20:52:14.7174164Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model 2025-08-26T20:52:14.7174605Z 2025-08-26T20:52:14.7179846Z Running test_torch 1/2 ... [2025-08-26 20:52:14.717820] 2025-08-26T20:52:14.7180239Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:52:14.7186040Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:52:14.718352] 2025-08-26T20:59:31.1555551Z 2025-08-26T20:59:31.1556363Z test_torch 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.2_2135f287d530c752_.log 2025-08-26T20:59:31.1709200Z Running 472 items in this shard: test/test_torch.py::TestBasicVitalSigns::test_basic_vitals_read_write, test/test_torch.py::TestBasicVitalSigns::test_dataloader_vitals, test/test_torch.py::TestTorch::test_RNG_after_pickle, test/test_torch.py::TestTorch::test_Size, test/test_torch.py::TestTorch::test_Size_concat_non_tuple_sequence, test/test_torch.py::TestTorch::test_Size_concat_wildcard, test/test_torch.py::TestTorch::test_Size_scalar, test/test_torch.py::TestTorch::test_allow_tensor_metadata_change, test/test_torch.py::TestTorch::test_backward_hooks_traverse, test/test_torch.py::TestTorch::test_batch_norm_cpu_inference, test/test_torch.py::TestTorch::test_bf16_supported_on_cpu, test/test_torch.py::TestTorch::test_chunk_neg_dim, test/test_torch.py::TestTorch::test_copy_dtypes, test/test_torch.py::TestTorch::test_copy_float16, test/test_torch.py::TestTorch::test_cummax_neg_dim, test/test_torch.py::TestTorch::test_cxx_flags, test/test_torch.py::TestTorch::test_deterministic_flag, test/test_torch.py::TestTorch::test_dim_order, test/test_torch.py::TestTorch::test_doc, test/test_torch.py::TestTorch::test_dot_data_use, test/test_torch.py::TestTorch::test_dtype_is_signed, test/test_torch.py::TestTorch::test_empty_storage_view, test/test_torch.py::TestTorch::test_equal, test/test_torch.py::TestTorch::test_error_msg_type_translation, test/test_torch.py::TestTorch::test_fill_diagonal, test/test_torch.py::TestTorch::test_format_scalar_meta, test/test_torch.py::TestTorch::test_gather_neg_dim, test/test_torch.py::TestTorch::test_generator_cpu, test/test_torch.py::TestTorch::test_index_add_all_dtypes, test/test_torch.py::TestTorch::test_index_add_cornercase, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_neg_dim, test/test_torch.py::TestTorch::test_index_copy_neg_dim, test/test_torch.py::TestTorch::test_index_fill_neg_dim, test/test_torch.py::TestTorch::test_index_select_neg_dim, test/test_torch.py::TestTorch::test_invalid_generator_raises, test/test_torch.py::TestTorch::test_is_nonzero, test/test_torch.py::TestTorch::test_is_same_size, test/test_torch.py::TestTorch::test_iter, test/test_torch.py::TestTorch::test_manual_seed, test/test_torch.py::TestTorch::test_median_neg_dim, test/test_torch.py::TestTorch::test_memory_format_contiguous_returns_same_tensor_if_already_satisfies, test/test_torch.py::TestTorch::test_memory_format_empty, test/test_torch.py::TestTorch::test_multinomial_invalid_probs, test/test_torch.py::TestTorch::test_nanmedian_neg_dim, test/test_torch.py::TestTorch::test_narrow_neg_dim, test/test_torch.py::TestTorch::test_nbytes, test/test_torch.py::TestTorch::test_ndim, test/test_torch.py::TestTorch::test_newaxis_numpy_comparison, test/test_torch.py::TestTorch::test_newindex, test/test_torch.py::TestTorch::test_no_cuda_monkeypatch, test/test_torch.py::TestTorch::test_norm_neg_dim, test/test_torch.py::TestTorch::test_parallel_info, test/test_torch.py::TestTorch::test_parsing_double, test/test_torch.py::TestTorch::test_pickle, test/test_torch.py::TestTorch::test_pickle_function, test/test_torch.py::TestTorch::test_pickle_size, test/test_torch.py::TestTorch::test_pin_memory, test/test_torch.py::TestTorch::test_print, test/test_torch.py::TestTorch::test_prod_neg_dim, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_resizable, test/test_torch.py::TestTorch::test_reversed, test/test_torch.py::TestTorch::test_scatter_neg_dim, test/test_torch.py::TestTorch::test_select_neg_dim, test/test_torch.py::TestTorch::test_setting_real_imag_to_a_number, test/test_torch.py::TestTorch::test_show_config, test/test_torch.py::TestTorch::test_slice, test/test_torch.py::TestTorch::test_sobolengine_continuing, test/test_torch.py::TestTorch::test_sobolengine_continuing_scrambled, test/test_torch.py::TestTorch::test_sobolengine_distribution, test/test_torch.py::TestTorch::test_sobolengine_draw, test/test_torch.py::TestTorch::test_sobolengine_draw_scrambled, test/test_torch.py::TestTorch::test_sobolengine_first_point, test/test_torch.py::TestTorch::test_sobolengine_reset_scrambled, test/test_torch.py::TestTorch::test_sort_neg_dim, test/test_torch.py::TestTorch::test_split_neg_dim, test/test_torch.py::TestTorch::test_split_with_sizes_copy_out, test/test_torch.py::TestTorch::test_storage_base_init, test/test_torch.py::TestTorch::test_storage_casts, test/test_torch.py::TestTorch::test_storage_cycle_via_slots, test/test_torch.py::TestTorch::test_storage_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_zombie, test/test_torch.py::TestTorch::test_storage_error_no_attribute, test/test_torch.py::TestTorch::test_storage_finalizer_dealloc, test/test_torch.py::TestTorch::test_storage_resurrected_weak_ref, test/test_torch.py::TestTorch::test_storage_weakref_dealloc, test/test_torch.py::TestTorch::test_structseq_repr, test/test_torch.py::TestTorch::test_subclass_preserved, test/test_torch.py::TestTorch::test_swap_basic, test/test_torch.py::TestTorch::test_swap_fail_slots, test/test_torch.py::TestTorch::test_tensor_cycle_via_dict, test/test_torch.py::TestTorch::test_tensor_dead_weak_ref, test/test_torch.py::TestTorch::test_tensor_finalizer_dealloc, test/test_torch.py::TestTorch::test_tensor_resurrected_weak_ref, test/test_torch.py::TestTorch::test_tensor_slot_dealloc, test/test_torch.py::TestTorch::test_tensor_weakref_dealloc, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_terminate_handler_on_crash, test/test_torch.py::TestTorch::test_to, test/test_torch.py::TestTorch::test_torch_from_file, test/test_torch.py::TestTorch::test_transpose_neg_dim, test/test_torch.py::TestTorch::test_type, test/test_torch.py::TestTorch::test_typed_storage_deprecation_warning, test/test_torch.py::TestTorch::test_typed_storage_internal_no_warning, test/test_torch.py::TestTorch::test_unflatten, test/test_torch.py::TestTorch::test_unsqueeze_neg_dim, test/test_torch.py::TestTorch::test_upsample_nearest1d_meta, test/test_torch.py::TestTorch::test_upsample_nearest2d_meta, test/test_torch.py::TestTorch::test_var_neg_dim, test/test_torch.py::TestTorch::test_warn_types, test/test_torch.py::TestVitalSignsCudaCPU::test_cuda_vitals_gpu_only_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test__local_scalar_dense_with_empty_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_assertRaisesRegex_ignore_msg_non_native_device_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_add_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcdiv_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_copy_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_div_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_eq_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_gt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_le_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_fill_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_select_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_min_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_mul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ne_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_pow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_sub_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_cuda_backward_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_euclidean_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_internal_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_not_memory_dense_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_constants_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_backward_agnostic_to_memory_format_cpu, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cpp_warnings_have_python_context_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cublas_config_nondeterministic_alert_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_device_guard_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_discontiguous_out_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dtypetensor_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_one_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_deprecated_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_pass_itself_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_separate_unscale_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_penalty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_sparse_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_update_scale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_hook_remove_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_int64_upsample3d_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_set_to_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_signed_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e5m2, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_logcumsumexp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_lognormal_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bfloat16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bool_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bool_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex128_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float32_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int8_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_uint8_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_uint8_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_inplace_noncontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_large_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_cpu_and_cuda_ops_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_empty_like_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_factory_like_functions_preserve_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_operators_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_empty_w_replacement_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_gpu_device_constrain_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_rng_state_advance_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_no_nondeterministic_alert_interpolate_trilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AvgPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_EmbeddingBag_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_FractionalMaxPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_FractionalMaxPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReflectionPad1d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReflectionPad3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReplicationPad1d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReplicationPad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_bincount_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_grid_sample_2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_linear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_trilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_median_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_put_accumulate_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_put_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_qint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_qint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_quint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_and_graph_partition_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_and_graph_partition_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_and_graph_partition_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_pdist_norm_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pickle_gradscaler_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pin_memory_from_constructor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_reduced_type_float_copy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_repeat_interleave_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scalar_check_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_bool_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_to_large_input_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_zero_size_index_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_serialization_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_shift_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_skip_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_all_devices_non_blocking_False_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_strides_propagation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_set_errors_multigpu_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_untyped_storage_meta_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_warn_always_caught_cpu 2025-08-26T20:59:31.1854592Z 2025-08-26T20:59:31.1854763Z Running test_torch 2/2 ... [2025-08-26 20:59:31.157446] 2025-08-26T20:59:31.1855168Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T20:59:31.1856189Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_torch.py', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:59:31.157932] 2025-08-26T21:05:36.5218873Z 2025-08-26T21:05:36.5220103Z test_torch 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_2.2_ee80c4d24471ca1a_.log 2025-08-26T21:05:36.5434895Z Running 481 items in this shard: test/test_torch.py::TestBasicVitalSigns::test_basic_vitals, test/test_torch.py::TestTorch::test_RNGState, test/test_torch.py::TestTorch::test_RNGStateAliasing, test/test_torch.py::TestTorch::test_Size_iter, test/test_torch.py::TestTorch::test_add_meta_scalar, test/test_torch.py::TestTorch::test_apply, test/test_torch.py::TestTorch::test_as_subclass, test/test_torch.py::TestTorch::test_assert_async, test/test_torch.py::TestTorch::test_bmm_multithreaded, test/test_torch.py::TestTorch::test_boxMullerState, test/test_torch.py::TestTorch::test_cat_neg_dim, test/test_torch.py::TestTorch::test_check, test/test_torch.py::TestTorch::test_conj_neg_tolist, test/test_torch.py::TestTorch::test_conj_physical_meta_stride, test/test_torch.py::TestTorch::test_contains, test/test_torch.py::TestTorch::test_copy_broadcast, test/test_torch.py::TestTorch::test_copy_many_to_one, test/test_torch.py::TestTorch::test_copy_transpose, test/test_torch.py::TestTorch::test_cuda_not_built, test/test_torch.py::TestTorch::test_cummin_neg_dim, test/test_torch.py::TestTorch::test_cumprod_neg_dim, test/test_torch.py::TestTorch::test_cumsum_neg_dim, test/test_torch.py::TestTorch::test_data_ptr_of_empty_tensor_with_storage, test/test_torch.py::TestTorch::test_data_ptr_of_empty_view_with_storage, test/test_torch.py::TestTorch::test_deepcopy_gradient, test/test_torch.py::TestTorch::test_deepcopy_parameter, test/test_torch.py::TestTorch::test_deterministic_fill_uninitialized_memory, test/test_torch.py::TestTorch::test_device, test/test_torch.py::TestTorch::test_dir, test/test_torch.py::TestTorch::test_doc_template, test/test_torch.py::TestTorch::test_element_size, test/test_torch.py::TestTorch::test_empty_meta, test/test_torch.py::TestTorch::test_from_buffer, test/test_torch.py::TestTorch::test_from_file, test/test_torch.py::TestTorch::test_get_cpu_capability, test/test_torch.py::TestTorch::test_has_internal_overlap, test/test_torch.py::TestTorch::test_has_storage, test/test_torch.py::TestTorch::test_index_add, test/test_torch.py::TestTorch::test_invalid_arg_error_handling, test/test_torch.py::TestTorch::test_kthvalue_neg_dim, test/test_torch.py::TestTorch::test_linspace_logspace, test/test_torch.py::TestTorch::test_logcumsumexp_neg_dim, test/test_torch.py::TestTorch::test_map, test/test_torch.py::TestTorch::test_map2, test/test_torch.py::TestTorch::test_max_neg_dim, test/test_torch.py::TestTorch::test_mean_neg_dim, test/test_torch.py::TestTorch::test_memory_format, test/test_torch.py::TestTorch::test_min_neg_dim, test/test_torch.py::TestTorch::test_mode_neg_dim, test/test_torch.py::TestTorch::test_new, test/test_torch.py::TestTorch::test_normal_shape, test/test_torch.py::TestTorch::test_numel, test/test_torch.py::TestTorch::test_parsing_int64, test/test_torch.py::TestTorch::test_parsing_intlist, test/test_torch.py::TestTorch::test_permute, test/test_torch.py::TestTorch::test_pickle_dtype, test/test_torch.py::TestTorch::test_pickle_generator, test/test_torch.py::TestTorch::test_pickle_parameter, test/test_torch.py::TestTorch::test_pickle_parameter_no_requires_grad, test/test_torch.py::TestTorch::test_pyobj_preserved, test/test_torch.py::TestTorch::test_renorm_neg_dim, test/test_torch.py::TestTorch::test_set_flush_denormal, test/test_torch.py::TestTorch::test_size_neg_dim, test/test_torch.py::TestTorch::test_size_stride, test/test_torch.py::TestTorch::test_sizeof, test/test_torch.py::TestTorch::test_slow_test, test/test_torch.py::TestTorch::test_sobolengine_bounds, test/test_torch.py::TestTorch::test_sobolengine_bounds_scrambled, test/test_torch.py::TestTorch::test_sobolengine_default_dtype, test/test_torch.py::TestTorch::test_sobolengine_distribution_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw_base2, test/test_torch.py::TestTorch::test_sobolengine_draw_base2_scrambled, test/test_torch.py::TestTorch::test_sobolengine_fast_forward, test/test_torch.py::TestTorch::test_sobolengine_fast_forward_scrambled, test/test_torch.py::TestTorch::test_sobolengine_high_dim, test/test_torch.py::TestTorch::test_sobolengine_raise, test/test_torch.py::TestTorch::test_sobolengine_reset, test/test_torch.py::TestTorch::test_squeeze_neg_dim, test/test_torch.py::TestTorch::test_std_neg_dim, test/test_torch.py::TestTorch::test_storage_base_new, test/test_torch.py::TestTorch::test_storage_byteswap, test/test_torch.py::TestTorch::test_storage_cycle_via_dict, test/test_torch.py::TestTorch::test_storage_dead_weak_ref, test/test_torch.py::TestTorch::test_storage_dealloc, test/test_torch.py::TestTorch::test_storage_dict_dealloc, test/test_torch.py::TestTorch::test_storage_error, test/test_torch.py::TestTorch::test_storage_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_zombie, test/test_torch.py::TestTorch::test_storage_preserve_nonhermetic_in_hermetic_context, test/test_torch.py::TestTorch::test_storage_slot_dealloc, test/test_torch.py::TestTorch::test_subclass_tensors, test/test_torch.py::TestTorch::test_sum_neg_dim, test/test_torch.py::TestTorch::test_t_not_2d_error, test/test_torch.py::TestTorch::test_tensor_base_init, test/test_torch.py::TestTorch::test_tensor_base_new, test/test_torch.py::TestTorch::test_tensor_ctor_scalar, test/test_torch.py::TestTorch::test_tensor_cycle_via_slots, test/test_torch.py::TestTorch::test_tensor_dict_dealloc, test/test_torch.py::TestTorch::test_tensor_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_tensor_item_no_warning, test/test_torch.py::TestTorch::test_tensor_ressurecting_clear, test/test_torch.py::TestTorch::test_tensor_set, test/test_torch.py::TestTorch::test_tensor_set_errors, test/test_torch.py::TestTorch::test_tensor_where_scalar, test/test_torch.py::TestTorch::test_tensor_with_grad_to_scalar_warning, test/test_torch.py::TestTorch::test_to_with_tensor, test/test_torch.py::TestTorch::test_topk_neg_dim, test/test_torch.py::TestTorch::test_type_alias, test/test_torch.py::TestTorch::test_type_conversion_via_dtype_name, test/test_torch.py::TestTorch::test_unbind_neg_dim, test/test_torch.py::TestTorch::test_unfold_neg_dim, test/test_torch.py::TestTorch::test_wildcard_import, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cuda_errors_with_cpu_scalars_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bfloat16_neg_abs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bool_tensor_value_change_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcmul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_atan2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_fmod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ge_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lerp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_scatter_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_remainder_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_grad_p_lt_1_no_nan_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_same_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_all_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_zero_stride_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_complex_half_experimental_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_cov_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_cummin_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummin_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumprod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_64bit_indexing_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_replication_pad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_dim_function_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_expected_failure_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_deterministic_path_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scale_will_not_overflow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_accumulation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_multiple_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_state_dict_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_type_promotion_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_large_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_put_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_invalid_shapes_grid_sampler_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e4m3fn, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e4m3fnuz, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e5m2fnuz, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_large_cumprod_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_large_cumsum_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_bool_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bfloat16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex128_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float32_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int32_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int32_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int8_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_bool_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_clone_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_consistency_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_preserved_after_permute_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_propagation_rules_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_to_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_type_shortcuts_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_module_share_memory_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_device_constrain_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_empty_wo_replacement_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_narrow_copy_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_narrow_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_no_nondeterministic_alert_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveAvgPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveAvgPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveMaxPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_CTCLoss_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_NLLLoss_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReplicationPad3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_grid_sample_3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_histc_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_bicubic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_kthvalue_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_quint2x4, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_quint4x2, test/test_torch.py::TestTorchDeviceTypeCPU::test_normal_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_normal_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_normal_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nullary_op_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pairwise_distance_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_pdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_reduced_type_float_copy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_non_unique_index_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_one_dim_deterministic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_to_large_input_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_bool_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_default_tensor_type_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_all_devices_non_blocking_True_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint4x2, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_use_count_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_sync_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_shape_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_ternary_op_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_where_scalar_handcrafted_values_cpu 2025-08-26T21:05:36.5619954Z 2025-08-26T21:05:36.5620164Z Running test_tensorexpr 1/1 ... [2025-08-26 21:05:36.524635] 2025-08-26T21:05:36.5620588Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:05:36.5621633Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:05:36.525266] 2025-08-26T21:05:40.6538584Z 2025-08-26T21:05:40.6539417Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_5509250b89beeec5_.log 2025-08-26T21:05:40.6560398Z Running 74 items in this shard: test/test_tensorexpr.py::TestTensorExprFuser::test_add_const_rhs, test/test_tensorexpr.py::TestTensorExprFuser::test_add_sub, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_input_and_module, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_module, test/test_tensorexpr.py::TestTensorExprFuser::test_all_combos, test/test_tensorexpr.py::TestTensorExprFuser::test_alpha, test/test_tensorexpr.py::TestTensorExprFuser::test_binary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_bitwise_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast3, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_2, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_big2, test/test_tensorexpr.py::TestTensorExprFuser::test_cat, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_empty_tensors, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_negative_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_only, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_promote_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_with_constant_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_char, test/test_tensorexpr.py::TestTensorExprFuser::test_chunk, test/test_tensorexpr.py::TestTensorExprFuser::test_clamp, test/test_tensorexpr.py::TestTensorExprFuser::test_constant, test/test_tensorexpr.py::TestTensorExprFuser::test_double, test/test_tensorexpr.py::TestTensorExprFuser::test_double_intrinsics, test/test_tensorexpr.py::TestTensorExprFuser::test_dynamic_shape, test/test_tensorexpr.py::TestTensorExprFuser::test_easy, test/test_tensorexpr.py::TestTensorExprFuser::test_eq, test/test_tensorexpr.py::TestTensorExprFuser::test_exp_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_four_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_ge, test/test_tensorexpr.py::TestTensorExprFuser::test_gt, test/test_tensorexpr.py::TestTensorExprFuser::test_guard_fails, test/test_tensorexpr.py::TestTensorExprFuser::test_half_bn_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_half_gelu, test/test_tensorexpr.py::TestTensorExprFuser::test_int64_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_int_output, test/test_tensorexpr.py::TestTensorExprFuser::test_le, test/test_tensorexpr.py::TestTensorExprFuser::test_loop, test/test_tensorexpr.py::TestTensorExprFuser::test_lt, test/test_tensorexpr.py::TestTensorExprFuser::test_mask, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction2, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1_2, test/test_tensorexpr.py::TestTensorExprFuser::test_multi_rand, test/test_tensorexpr.py::TestTensorExprFuser::test_multioutput, test/test_tensorexpr.py::TestTensorExprFuser::test_multiple_outputs, test/test_tensorexpr.py::TestTensorExprFuser::test_nans, test/test_tensorexpr.py::TestTensorExprFuser::test_ne, test/test_tensorexpr.py::TestTensorExprFuser::test_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_propagated_mem_layout, test/test_tensorexpr.py::TestTensorExprFuser::test_rand_like, test/test_tensorexpr.py::TestTensorExprFuser::test_rank_two, test/test_tensorexpr.py::TestTensorExprFuser::test_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_remainder, test/test_tensorexpr.py::TestTensorExprFuser::test_reps, test/test_tensorexpr.py::TestTensorExprFuser::test_round_2, test/test_tensorexpr.py::TestTensorExprFuser::test_scalar, test/test_tensorexpr.py::TestTensorExprFuser::test_short, test/test_tensorexpr.py::TestTensorExprFuser::test_simple_add, test/test_tensorexpr.py::TestTensorExprFuser::test_sin_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_slice, test/test_tensorexpr.py::TestTensorExprFuser::test_sliced_stride, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cpu, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cuda, test/test_tensorexpr.py::TestTensorExprFuser::test_strided_output_preserved, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg2, test/test_tensorexpr.py::TestTensorExprFuser::test_transpose, test/test_tensorexpr.py::TestTensorExprFuser::test_unary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_unsqueeze, test/test_tensorexpr.py::TestTensorExprFuser::test_where 2025-08-26T21:05:40.6580539Z 2025-08-26T21:05:40.6580786Z Running test_namedtuple_return_api 1/1 ... [2025-08-26 21:05:40.654397] 2025-08-26T21:05:40.6581334Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:05:40.6582492Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:05:40.654932] 2025-08-26T21:05:49.0259935Z 2025-08-26T21:05:49.0261474Z test_namedtuple_return_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtuple_return_api_1.1_54327cbc0e031439_.log 2025-08-26T21:05:49.0264888Z Running 3 items in this shard: test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_import_return_types, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_namedtuple_return, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_native_functions_yaml 2025-08-26T21:05:49.0267165Z 2025-08-26T21:05:49.0270716Z Running test_multiprocessing 1/1 ... [2025-08-26 21:05:49.026854] 2025-08-26T21:05:49.0271404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:05:49.0277578Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:05:49.027429] 2025-08-26T21:07:31.2470986Z 2025-08-26T21:07:31.2472446Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_f01e8b3f5f92ada1_.log 2025-08-26T21:07:31.2487627Z Running 42 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_autograd_errors, test/test_multiprocessing.py::TestMultiprocessing::test_autograd_fine_with_spawn, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_bad_call, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_ipc_deadlock, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_memory_allocation, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_send_many, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_small_tensors, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_shared, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_event, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_exporter, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_importer, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_multi_gpu, test/test_multiprocessing.py::TestMultiprocessing::test_event_multiprocess, test/test_multiprocessing.py::TestMultiprocessing::test_fd_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fd_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fd_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs, test/test_multiprocessing.py::TestMultiprocessing::test_fs_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_fs_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fs_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_inherit_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cpu, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_mixed_types_cuda_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_non_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_rebuild_cuda_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_set_thread_name, test/test_multiprocessing.py::TestMultiprocessing::test_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_wrong_cuda_fork 2025-08-26T21:07:31.2501713Z 2025-08-26T21:07:31.7926700Z Uploading artifacts took 0.55 seconds 2025-08-26T21:07:31.7931251Z Running test_autograd_fallback 1/1 ... [2025-08-26 21:07:31.792940] 2025-08-26T21:07:31.7931928Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:07:31.7936646Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:07:31.793402] 2025-08-26T21:07:44.6212728Z 2025-08-26T21:07:44.6213657Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_77522779fa80b6c9_.log 2025-08-26T21:07:44.6226994Z Running 28 items in this shard: test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_warn 2025-08-26T21:07:44.6239273Z 2025-08-26T21:07:44.6239468Z Running test_fake_tensor 1/1 ... [2025-08-26 21:07:44.621854] 2025-08-26T21:07:44.6239873Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:07:44.6240901Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:07:44.622351] 2025-08-26T21:08:35.0581840Z 2025-08-26T21:08:35.0582989Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_eb6aef0a778a2abd_.log 2025-08-26T21:08:35.0700861Z Running 290 items in this shard: test/test_fake_tensor.py::FakeTensorTest::test__adaptive_avg_pool2d_backward, test/test_fake_tensor.py::FakeTensorTest::test_alias_call, test/test_fake_tensor.py::FakeTensorTest::test_allow_meta, test/test_fake_tensor.py::FakeTensorTest::test_aten_copy_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_index_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_slice_scatter_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_basic, test/test_fake_tensor.py::FakeTensorTest::test_batch_tensor, test/test_fake_tensor.py::FakeTensorTest::test_binary_op_type_promotion, test/test_fake_tensor.py::FakeTensorTest::test_constructor, test/test_fake_tensor.py::FakeTensorTest::test_convert_fake_to_real, test/test_fake_tensor.py::FakeTensorTest::test_cpu_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cuda_initialized, test/test_fake_tensor.py::FakeTensorTest::test_cuda_lstm, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_with_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_without_fallback, test/test_fake_tensor.py::FakeTensorTest::test_custom_op_fallback, test/test_fake_tensor.py::FakeTensorTest::test_data_dependent_operator, test/test_fake_tensor.py::FakeTensorTest::test_deepcopy, test/test_fake_tensor.py::FakeTensorTest::test_device_inplace_copy, test/test_fake_tensor.py::FakeTensorTest::test_embedding_bag_meta, test/test_fake_tensor.py::FakeTensorTest::test_export_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fake_device, test/test_fake_tensor.py::FakeTensorTest::test_fake_dispatch_keys, test/test_fake_tensor.py::FakeTensorTest::test_fake_grad_copy, test/test_fake_tensor.py::FakeTensorTest::test_fake_mode_error, test/test_fake_tensor.py::FakeTensorTest::test_fast_div, test/test_fake_tensor.py::FakeTensorTest::test_from_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fsdp_flat_param, test/test_fake_tensor.py::FakeTensorTest::test_full, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex128, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int16, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int8, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_uint8, test/test_fake_tensor.py::FakeTensorTest::test_index_put_error, test/test_fake_tensor.py::FakeTensorTest::test_jagged_fake_to_fake_preserved, test/test_fake_tensor.py::FakeTensorTest::test_like_constructor, test/test_fake_tensor.py::FakeTensorTest::test_mixed_real_and_fake_inputs, test/test_fake_tensor.py::FakeTensorTest::test_mode, test/test_fake_tensor.py::FakeTensorTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorTest::test_nanmean_out, test/test_fake_tensor.py::FakeTensorTest::test_new, test/test_fake_tensor.py::FakeTensorTest::test_no_tag_func, test/test_fake_tensor.py::FakeTensorTest::test_non_kwarg_device, test/test_fake_tensor.py::FakeTensorTest::test_non_overlapping_stride_zero, test/test_fake_tensor.py::FakeTensorTest::test_non_parameter_grad, test/test_fake_tensor.py::FakeTensorTest::test_normalize_device, test/test_fake_tensor.py::FakeTensorTest::test_op_with_zero_dim_bypassed, test/test_fake_tensor.py::FakeTensorTest::test_out_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_parameter_instantiation, test/test_fake_tensor.py::FakeTensorTest::test_parameter_view, test/test_fake_tensor.py::FakeTensorTest::test_print_in_fake_mode, test/test_fake_tensor.py::FakeTensorTest::test_randperm, test/test_fake_tensor.py::FakeTensorTest::test_recursive_invocation, test/test_fake_tensor.py::FakeTensorTest::test_repr, test/test_fake_tensor.py::FakeTensorTest::test_same_shape_env_preserved, test/test_fake_tensor.py::FakeTensorTest::test_scalar_inputs, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_False, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_True, test/test_fake_tensor.py::FakeTensorTest::test_setitem, test/test_fake_tensor.py::FakeTensorTest::test_shape_take_not_device, test/test_fake_tensor.py::FakeTensorTest::test_split_return_self, test/test_fake_tensor.py::FakeTensorTest::test_throw, test/test_fake_tensor.py::FakeTensorTest::test_tolist, test/test_fake_tensor.py::FakeTensorTest::test_type_as, test/test_fake_tensor.py::FakeTensorTest::test_unbind_copy_out, test/test_fake_tensor.py::FakeTensorTest::test_unsqueeze_copy, test/test_fake_tensor.py::FakeTensorTest::test_upsample_bilinear_small_channels, test/test_fake_tensor.py::FakeTensorTest::test_zero_dim, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test__adaptive_avg_pool2d_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_alias_call_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_allow_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_copy_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_index_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_slice_scatter_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_basic_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_batch_tensor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_binary_op_type_promotion_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_convert_fake_to_real_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cpu_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_initialized_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_lstm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_with_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_without_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_custom_op_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_data_dependent_operator_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_deepcopy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_device_inplace_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_embedding_bag_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_export_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_dispatch_keys_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_grad_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fast_div_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_from_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fsdp_flat_param_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_full_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex128_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int16_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_uint8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_put_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_jagged_fake_to_fake_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_like_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mixed_real_and_fake_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nanmean_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_no_tag_func_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_overlapping_stride_zero_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_parameter_grad_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_normalize_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_op_with_zero_dim_bypassed_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_out_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_instantiation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_print_in_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_randperm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_recursive_invocation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_repr_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_same_shape_env_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scalar_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_False_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_True_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_setitem_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_shape_take_not_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_split_return_self_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_throw_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_tolist_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_type_as_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unbind_copy_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unsqueeze_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_upsample_bilinear_small_channels_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_zero_dim_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorConstHandling::test_aliased_const_write, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_propagate_through_functions, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_batch_norm_cpu, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_in_intlist_repro, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_add, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_view_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storage_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storages, test/test_fake_tensor.py::FakeTensorConstHandling::test_simple, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_aliased_const_write_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_propagate_through_functions_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_batch_norm_cpu_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_in_intlist_repro_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_add_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_view_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storage_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storages_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_simple_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_key, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_weak_ref, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_from_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_to_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_multiple_modes, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_active_mode, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_ref_cycle, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_mode_error, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_non_view, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_view, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_key_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_weak_ref_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_from_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_to_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_multiple_modes_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_active_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_ref_cycle_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_non_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_view_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_conv_c1_backward, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_cross_entropy_loss, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_embedding_bag_private, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_fake_gpu_no_init, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_flash_attention, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_like_ops, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_no_dispatch_with_like_function, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_non_kwarg_only_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_sparse_new, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_str_storage, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_new, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_conv_c1_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_cross_entropy_loss_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_embedding_bag_private_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_fake_gpu_no_init_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_flash_attention_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_like_ops_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_module_to_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_no_dispatch_with_like_function_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_non_kwarg_only_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_sparse_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_str_storage_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_new_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args, test/test_fake_tensor.py::FakeTensorPropTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorPropTest::test_nonzero_stride, test/test_fake_tensor.py::FakeTensorPropTest::test_torch_load_with_fake_mode, test/test_fake_tensor.py::FakeTensorPropTest::test_unbacked_shape_realloc, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nonzero_stride_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_torch_load_with_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_unbacked_shape_realloc_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization_with_tracing, test/test_fake_tensor.py::FakeTensorDispatchCache::test__upsample_bilinear2d_aa_backward_dynamic_shapes, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_aten_index, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_bypass, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_dispatch_key_set, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_hit, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_inplace_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_constants, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_conj, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_inference, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_neg, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_memory_format, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_requires_grad, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_shape, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_storage_offset, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_stride, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_tuple_outputs, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_view_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_fft_hfft2_issue145522, test/test_fake_tensor.py::FakeTensorDispatchCache::test_from_buffer, test/test_fake_tensor.py::FakeTensorDispatchCache::test_inference_mode, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph_cacheable_inplace, test/test_fake_tensor.py::FakeTensorDispatchCache::test_meta_tensor_to_fake_cpu, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorDispatchCache::test_unbacked_output, test/test_fake_tensor.py::FakeTensorDispatchCache::test_wrapper_tensor_subclass_different_device, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type_cpu_only 2025-08-26T21:08:35.0816777Z 2025-08-26T21:08:35.0816998Z Running test_python_dispatch 1/1 ... [2025-08-26 21:08:35.059337] 2025-08-26T21:08:35.0817434Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:08:35.0818502Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:08:35.059822] 2025-08-26T21:09:17.2325175Z 2025-08-26T21:09:17.2326470Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_5ae88332c0ad6e68_.log 2025-08-26T21:09:17.2374582Z Running 118 items in this shard: test/test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed, test/test_python_dispatch.py::TestPythonRegistration::test_alias_analysis, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_eq, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_pickle, test/test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind, test/test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable, test/test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg, test/test_python_dispatch.py::TestPythonRegistration::test_fallback, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset, test/test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls, test/test_python_dispatch.py::TestPythonRegistration::test_finalizer, test/test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries, test/test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum, test/test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator, test/test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint, test/test_python_dispatch.py::TestPythonDispatch::test_all_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr, test/test_python_dispatch.py::TestPythonDispatch::test_basic, test/test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor, test/test_python_dispatch.py::TestPythonDispatch::test_custom_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_not_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_size_policy_dynamic_shapes, test/test_python_dispatch.py::TestPythonDispatch::test_data_ptr_respects_numel_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_non_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass_with_clone_returning_different_type, test/test_python_dispatch.py::TestPythonDispatch::test_detach_appears_twice_when_called_once, test/test_python_dispatch.py::TestPythonDispatch::test_device_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dim_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call_list_arg, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_dont_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_uint64, test/test_python_dispatch.py::TestPythonDispatch::test_error_using_class_method_on_mode, test/test_python_dispatch.py::TestPythonDispatch::test_exception_handling, test/test_python_dispatch.py::TestPythonDispatch::test_fancy_strides, test/test_python_dispatch.py::TestPythonDispatch::test_format, test/test_python_dispatch.py::TestPythonDispatch::test_get_cur_mode, test/test_python_dispatch.py::TestPythonDispatch::test_get_mode_stack, test/test_python_dispatch.py::TestPythonDispatch::test_index_put_where_only_index_is_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_invalid_ret, test/test_python_dispatch.py::TestPythonDispatch::test_is_contiguous_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only_and_positional_default, test/test_python_dispatch.py::TestPythonDispatch::test_layout_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_like, test/test_python_dispatch.py::TestPythonDispatch::test_list_ret, test/test_python_dispatch.py::TestPythonDispatch::test_make_fx_with_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_make_subclass_with_modes, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_noalloc, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_propagates_metadata, test/test_python_dispatch.py::TestPythonDispatch::test_maybe_tuple_bug, test/test_python_dispatch.py::TestPythonDispatch::test_mode_detection, test/test_python_dispatch.py::TestPythonDispatch::test_mode_with_make_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_multiple_ops_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_nested_push_logging_tensor_mode, test/test_python_dispatch.py::TestPythonDispatch::test_nesting_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_new_ones, test/test_python_dispatch.py::TestPythonDispatch::test_none_wrapping, test/test_python_dispatch.py::TestPythonDispatch::test_notimplemented_mode, test/test_python_dispatch.py::TestPythonDispatch::test_optional_tensor_list, test/test_python_dispatch.py::TestPythonDispatch::test_out, test/test_python_dispatch.py::TestPythonDispatch::test_produce_real_type, test/test_python_dispatch.py::TestPythonDispatch::test_record_stream, test/test_python_dispatch.py::TestPythonDispatch::test_return_and_correct_aliasing_gives_correct_stride, test/test_python_dispatch.py::TestPythonDispatch::test_return_stream, test/test_python_dispatch.py::TestPythonDispatch::test_set_data, test/test_python_dispatch.py::TestPythonDispatch::test_shallow_copy_and_detach, test/test_python_dispatch.py::TestPythonDispatch::test_sizes_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_standard_is_not_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_storage, test/test_python_dispatch.py::TestPythonDispatch::test_storage_can_be_converted_to_python_object, test/test_python_dispatch.py::TestPythonDispatch::test_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_creation, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_sym_sizes_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_tolist_numpy_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_basic, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_respects_no_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_unrelated_tensors, test/test_python_dispatch.py::TestPythonDispatch::test_version, test/test_python_dispatch.py::TestPythonDispatch::test_view_returns_alias_under_torch_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_with_mode_created_separately, test/test_python_dispatch.py::TestPythonDispatch::test_with_nested_modes, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_extra_dispatch_keys, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_multiprocessing_preserves_dtype, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_reentrant_dispatch_with_mode, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_serializes, test/test_python_dispatch.py::TestPythonDispatcher::test_basic, test/test_python_dispatch.py::TestPythonDispatcher::test_lstsq, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_cat_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_conv2d_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_fft_fft2_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_mul_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_native_batch_norm_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_out_op_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_list_args_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_view_cpu_float32 2025-08-26T21:09:17.2419530Z 2025-08-26T21:09:17.2419710Z Running test_autocast 1/1 ... [2025-08-26 21:09:17.233308] 2025-08-26T21:09:17.2420117Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:09:17.2421139Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:09:17.233798] 2025-08-26T21:09:31.4620699Z 2025-08-26T21:09:31.4621979Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_7f18581df4745304_.log 2025-08-26T21:09:31.4628869Z Running 20 items in this shard: test/test_autocast.py::TestAutocastCPU::test_autocast_disabled_with_fp32_dtype, test/test_autocast.py::TestAutocastCPU::test_autocast_methods_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_16, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_rnn, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_16, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_need_autocast_promote, test/test_autocast.py::TestAutocastCPU::test_cpu_autocast_deprecated_warning, test/test_autocast.py::TestAutocastCPU::test_generic_autocast, test/test_autocast.py::TestAutocastGPU::test_autocast_prioritize, test/test_autocast.py::TestAutocastGPU::test_cache_disabled, test/test_autocast.py::TestAutocastGPU::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_bfloat16_supported, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_error_message, test/test_autocast.py::TestTorchAutocast::test_autocast_fast_dtype, test/test_autocast.py::TestTorchAutocast::test_invalid_device, test/test_autocast.py::TestTorchAutocast::test_non_string_device 2025-08-26T21:09:31.4635706Z 2025-08-26T21:09:31.4636042Z Running test_jit_disabled 1/1 ... [2025-08-26 21:09:31.462652] 2025-08-26T21:09:31.4636456Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:09:31.4637497Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:09:31.463185] 2025-08-26T21:09:37.4297231Z 2025-08-26T21:09:37.4298085Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_5b85ed09e7b8b498_.log 2025-08-26T21:09:37.4299652Z Running 3 items in this shard: test/test_jit_disabled.py::TestJitDisabled::test_attribute, test/test_jit_disabled.py::TestJitDisabled::test_recursive_script, test/test_jit_disabled.py::TestJitDisabled::test_script_module_construction 2025-08-26T21:09:37.4300684Z 2025-08-26T21:09:37.4304837Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-08-26 21:09:37.430271] 2025-08-26T21:09:37.4305408Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:09:37.4310623Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'functorch/test_memory_efficient_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:09:37.430791] 2025-08-26T21:09:48.3054302Z 2025-08-26T21:09:48.3055307Z functorch/test_memory_efficient_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_memory_efficient_fusion_1.1_498b5bd959df7f01_.log 2025-08-26T21:09:48.3065199Z Running 22 items in this shard: test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_gelu_bias, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_hard_sigmoid, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_hard_swish, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_layer_norm, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_mish, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_rmsnorm, test/functorch/test_memory_efficient_fusion.py::TestMemoryEfficientOpAuthoring::test_swish, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_empty, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_hash_with_numbers, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_nochange, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_rand_like, test/functorch/test_memory_efficient_fusion.py::NoChangeTestCase::test_rand_n, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_immutable_list_multiple_entries, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_immutable_list_type, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_kwarg, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_nested_immutable_list_type, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_simple, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_simple_2, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_simple_multiple_same_ops, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_two_args, test/functorch/test_memory_efficient_fusion.py::ReduceTestCase::test_two_args_default, test/functorch/test_memory_efficient_fusion.py::RandomOpTestCase::test_random 2025-08-26T21:09:48.3074413Z 2025-08-26T21:09:48.3074613Z Running test_dispatch 1/1 ... [2025-08-26 21:09:48.306006] 2025-08-26T21:09:48.3075001Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:09:48.3076166Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:09:48.306501] 2025-08-26T21:11:09.4320276Z 2025-08-26T21:11:09.4321184Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_1d01292f702dc318_.log 2025-08-26T21:11:09.4331707Z Running 32 items in this shard: test/test_dispatch.py::TestDispatch::test_all_invariants, test/test_dispatch.py::TestDispatch::test_computed_table, test/test_dispatch.py::TestDispatch::test_computed_table_with_ambiguous_autogradother, test/test_dispatch.py::TestDispatch::test_computed_table_with_autograd, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math_autogradcpu_fallthrough, test/test_dispatch.py::TestDispatch::test_computed_table_with_math, test/test_dispatch.py::TestDispatch::test_def, test/test_dispatch.py::TestDispatch::test_def_impl_schema_mismatch, test/test_dispatch.py::TestDispatch::test_def_only, test/test_dispatch.py::TestDispatch::test_def_with_explicit_alias, test/test_dispatch.py::TestDispatch::test_def_with_inference, test/test_dispatch.py::TestDispatch::test_dispatch_print_registrations_for_dispatch_key_invalid, test/test_dispatch.py::TestDispatch::test_find_dangling_impls, test/test_dispatch.py::TestDispatch::test_find_dangling_impls_ext, test/test_dispatch.py::TestDispatch::test_impl_only, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_defaulting, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_mismatch, test/test_dispatch.py::TestDispatch::test_multiple_def_error, test/test_dispatch.py::TestDispatch::test_multiple_fallback, test/test_dispatch.py::TestDispatch::test_overwrite_math, test/test_dispatch.py::TestPythonDispatcher::test_autogradother, test/test_dispatch.py::TestPythonDispatcher::test_basic, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_math, test/test_dispatch.py::TestPythonDispatcher::test_duplicate_registrations, test/test_dispatch.py::TestPythonDispatcher::test_math_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_quantized_structured_not_implemented 2025-08-26T21:11:09.4342834Z 2025-08-26T21:11:09.4343027Z Running test_native_mha 1/1 ... [2025-08-26 21:11:09.432866] 2025-08-26T21:11:09.4343472Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:11:09.4344556Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:11:09.433361] 2025-08-26T21:11:45.8965356Z 2025-08-26T21:11:45.8966474Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_0c8f684536bcd4ad_.log 2025-08-26T21:11:45.8989236Z Running 28 items in this shard: test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_encoder_decoder_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_nested_cpu_float32 2025-08-26T21:11:45.9010366Z 2025-08-26T21:11:45.9010567Z Running test_sort_and_select 1/1 ... [2025-08-26 21:11:45.897289] 2025-08-26T21:11:45.9010987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:11:45.9012034Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:11:45.897840] 2025-08-26T21:14:39.2207020Z 2025-08-26T21:14:39.2208062Z test_sort_and_select 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sort_and_select_1.1_03a9ce5afdfb67ac_.log 2025-08-26T21:14:39.2249734Z Running 113 items in this shard: test/test_sort_and_select.py::TestSortAndSelectCPU::test_complex_unsupported_cpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_dtypes_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_scalar_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_slow_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_expanded_tensor_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_slice_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_restride_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_stable_none_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_4d_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_arguments_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_noncontiguous_gpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_quantized_scalar_input_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_dim_cpu 2025-08-26T21:14:39.2288278Z 2025-08-26T21:14:39.2288490Z Running test_cpp_extensions_jit 1/1 ... [2025-08-26 21:14:39.221770] 2025-08-26T21:14:39.2288939Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:14:39.2290004Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:14:39.222249] 2025-08-26T21:15:26.5530140Z 2025-08-26T21:15:26.5531547Z test_cpp_extensions_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_jit_1.1_5ab8405fff36794e_.log 2025-08-26T21:15:26.5546817Z Running 34 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_aoti_torch_call_dispatcher, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_autograd_from_cpp, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_compilation_error_formatting, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_same_output_as_python, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_up_to_date_attributes, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op_with_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_non_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_pluggable_allocator_include, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_compound_op_autograd, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_functorch_error, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_gen_extension_h_pch, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_half_support, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_custom_op_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_multiple_sources_and_no_functions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_throws_when_functions_is_bad, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_dict, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_list, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_xpu, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_compile_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_archflags, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cudnn_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_archlists, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_lenient_flag_handling_in_jit_extensions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_load_with_non_platform_default_encoding, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_mps_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_reload_jit_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_returns_shared_library_path_when_is_python_module_is_true, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_set_default_type_also_changes_aten_default_type, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_warning 2025-08-26T21:15:26.5560182Z 2025-08-26T21:15:26.5560391Z Running nn/test_pooling 1/1 ... [2025-08-26 21:15:26.553778] 2025-08-26T21:15:26.5560793Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:15:26.5561873Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:15:26.554320] 2025-08-26T21:18:31.4231702Z 2025-08-26T21:18:31.4232888Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_cc2bfa64b460cbdc_.log 2025-08-26T21:18:31.4277635Z Running 111 items in this shard: test/nn/test_pooling.py::TestAvgPool::test_avg_pool1d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool2d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool3d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d_with_divisor, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d_with_divisor, test/nn/test_pooling.py::TestPoolingNN::test_MaxUnpool2d_output_size, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_nhwc_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_backward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_forward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_non_contiguous, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_lower_precision, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_none, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_overflow, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool2d_nhwc_cpu, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool3d_input_check, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool1d_empty_kernel, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool3d, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool2d_empty_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool3d_backward_after_cat_dim1_device_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_errors_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case10_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case4_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case5_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case6_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case7_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case8_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case9_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool2d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool3d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_max_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pool_odd_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool3d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_with_indices_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool3d_non_square_backward_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool_indices_no_batch_dim_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_large_size_int64_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_size_one_feature_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_invalid_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_large_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_bfloat16_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_large_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_zero_stride_cpu 2025-08-26T21:18:31.4319998Z 2025-08-26T21:18:31.4320196Z Running nn/test_convolution 1/2 ... [2025-08-26 21:18:31.424036] 2025-08-26T21:18:31.4320624Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:18:31.4321677Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:18:31.424508] 2025-08-26T21:24:15.5647147Z 2025-08-26T21:24:15.5648167Z nn/test_convolution 1/2 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.2_83ef32230669fc46_.log 2025-08-26T21:24:15.5818405Z Running 284 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_with_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_without_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_missing_argument, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_half_cublas_gemm, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size_downsample_upsample, test/nn/test_convolution.py::TestConvolutionNN::test_conv2d_discontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_issue_120406, test/nn/test_convolution.py::TestConvolutionNN::test_conv_backcompat, test/nn/test_convolution.py::TestConvolutionNN::test_conv_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_modules_raise_error_on_incorrect_input_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv_padding_mode, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_contiguous_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_groups_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_no_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_stride_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_strided_with_3D_input_and_weight_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_ic1_channels_last_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_nosplit_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_and_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transposed_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv2d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_depthwise_conv_64bit_indexing_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_conv_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float64 2025-08-26T21:24:15.5980132Z 2025-08-26T21:24:15.5980337Z Running nn/test_convolution 2/2 ... [2025-08-26 21:24:15.566351] 2025-08-26T21:24:15.5980766Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:24:15.5981819Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:24:15.566830] 2025-08-26T21:32:06.6196509Z 2025-08-26T21:32:06.6197421Z nn/test_convolution 2/2 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_2.2_ae286985b3e3d376_.log 2025-08-26T21:32:06.6385214Z Running 314 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv1d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_1x1, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias_v2, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, test/nn/test_convolution.py::TestConvolutionNN::test_conv_cudnn_memory_layout_dominance, test/nn/test_convolution.py::TestConvolutionNN::test_conv_shapecheck, test/nn/test_convolution.py::TestConvolutionNN::test_conv_tbc, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_non_contiguous, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_noncontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_not_mutate_stride, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_weight, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_mismatch_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_batch_1_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv3d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float32 2025-08-26T21:32:06.6563993Z 2025-08-26T21:32:07.1010901Z Uploading artifacts took 0.48 seconds 2025-08-26T21:32:07.1015720Z Running test_multiprocessing_spawn 1/1 ... [2025-08-26 21:32:07.101387] 2025-08-26T21:32:07.1016193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:32:07.1021599Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:32:07.101891] 2025-08-26T21:34:49.7551549Z 2025-08-26T21:34:49.7552817Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_a61d955fd00d0430_.log 2025-08-26T21:34:49.7565041Z Running 31 items in this shard: test/test_multiprocessing_spawn.py::SpawnTest::test_exception_all, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_single, test/test_multiprocessing_spawn.py::SpawnTest::test_first_argument_index, test/test_multiprocessing_spawn.py::SpawnTest::test_signal_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_success, test/test_multiprocessing_spawn.py::SpawnTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::SpawnTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ForkTest::test_exception_all, test/test_multiprocessing_spawn.py::ForkTest::test_exception_single, test/test_multiprocessing_spawn.py::ForkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ForkTest::test_success, test/test_multiprocessing_spawn.py::ForkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ForkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_all, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_single, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerPerfTest::test_forkserver_perf, test/test_multiprocessing_spawn.py::ErrorTest::test_errors_pickleable 2025-08-26T21:34:49.7576396Z 2025-08-26T21:34:49.7576630Z Running test_cuda_primary_ctx 1/1 ... [2025-08-26 21:34:49.755439] 2025-08-26T21:34:49.7577060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:34:49.7578175Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:34:49.755970] 2025-08-26T21:34:53.8963834Z 2025-08-26T21:34:53.8965404Z test_cuda_primary_ctx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_primary_ctx_1.1_3ee0258cc3430998_.log 2025-08-26T21:34:53.8966836Z Running 0 items in this shard: 2025-08-26T21:34:53.8967173Z 2025-08-26T21:34:53.8973191Z Running test_mobile_optimizer 1/1 ... [2025-08-26 21:34:53.897097] 2025-08-26T21:34:53.8973887Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:34:53.8980009Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:34:53.897680] 2025-08-26T21:35:07.9793324Z 2025-08-26T21:35:07.9794578Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_4c8976408b1af9e2_.log 2025-08-26T21:35:07.9797634Z Running 7 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_clone_module_with_class, test/test_mobile_optimizer.py::TestOptimizer::test_generate_mobile_module_lints, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_mobilenet_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_preserve_bundled_inputs_methods, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures 2025-08-26T21:35:07.9800631Z 2025-08-26T21:35:07.9800967Z Running test_cuda_trace 1/1 ... [2025-08-26 21:35:07.979863] 2025-08-26T21:35:07.9801375Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:35:07.9806087Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:35:07.980345] 2025-08-26T21:35:11.9245067Z 2025-08-26T21:35:11.9246057Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_41dc00e8173dfa79_.log 2025-08-26T21:35:11.9246803Z Running 0 items in this shard: 2025-08-26T21:35:11.9247009Z 2025-08-26T21:35:11.9253817Z Running test_cuda_nvml_based_avail 1/1 ... [2025-08-26 21:35:11.925123] 2025-08-26T21:35:11.9254410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:35:11.9258942Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:35:11.925607] 2025-08-26T21:35:15.8821987Z 2025-08-26T21:35:15.8823524Z test_cuda_nvml_based_avail 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_nvml_based_avail_1.1_427ae2391d1b78a3_.log 2025-08-26T21:35:15.8825305Z Running 0 items in this shard: 2025-08-26T21:35:15.8825640Z 2025-08-26T21:35:15.8831387Z Running test_spectral_ops 1/1 ... [2025-08-26 21:35:15.882930] 2025-08-26T21:35:15.8832063Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:35:15.8838122Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:35:15.883503] 2025-08-26T21:36:26.6248667Z 2025-08-26T21:36:26.6249568Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_f21f0d74649b89b9_.log 2025-08-26T21:36:26.6344063Z Running 281 items in this shard: test/test_spectral_ops.py::TestFFTCPU::test_batch_istft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_istft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_definition_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_onesided_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_plan_cache_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_ifft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft2_fftn_equivalence_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft2_fftn_equivalence_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft2_invalid_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft2_numpy_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft2_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft2_cpu_bfloat16, 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test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_ifft_rfft_irfft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_input_modification_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_invalid_dtypes_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_plan_repeatable_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_int8, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_numpy_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_out_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_out_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_frequencies_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_frequencies_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_against_librosa_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_linearity_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_of_sine_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_simple_cases_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_various_params_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_with_padding_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_throws_cpu, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_stft_align_to_window_only_requires_non_center_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_complex_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_window_device_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_hfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ihfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftn_cpu 2025-08-26T21:36:26.6434831Z 2025-08-26T21:36:26.6435100Z Running distributions/test_distributions 1/2 ... [2025-08-26 21:36:26.625954] 2025-08-26T21:36:26.6443897Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:36:26.6445304Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:36:26.626474] 2025-08-26T21:44:17.9571473Z 2025-08-26T21:44:17.9572892Z distributions/test_distributions 1/2 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.2_fdfccb0dff5e2a5a_.log 2025-08-26T21:44:17.9626173Z Running 130 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_log_prob, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_binomial, test/distributions/test_distributions.py::TestDistributions::test_binomial_half, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_binomial_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_cauchy, test/distributions/test_distributions.py::TestDistributions::test_cdf_icdf_inverse, test/distributions/test_distributions.py::TestDistributions::test_cdf_log_prob, test/distributions/test_distributions.py::TestDistributions::test_chi2_shape, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_distribution_expand, test/distributions/test_distributions.py::TestDistributions::test_enumerate_support_type, test/distributions/test_distributions.py::TestDistributions::test_exponential, test/distributions/test_distributions.py::TestDistributions::test_exponential_sample, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor, test/distributions/test_distributions.py::TestDistributions::test_gamma_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_shape, test/distributions/test_distributions.py::TestDistributions::test_geometric, test/distributions/test_distributions.py::TestDistributions::test_geometric_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_geometric_sample, test/distributions/test_distributions.py::TestDistributions::test_gumbel_sample, test/distributions/test_distributions.py::TestDistributions::test_halfcauchy, test/distributions/test_distributions.py::TestDistributions::test_halfnormal, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_has_examples, test/distributions/test_distributions.py::TestDistributions::test_independent_expand, test/distributions/test_distributions.py::TestDistributions::test_independent_shape, test/distributions/test_distributions.py::TestDistributions::test_invalid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_inversegamma, test/distributions/test_distributions.py::TestDistributions::test_inversegamma_sample, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_mean_variance, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_shape, test/distributions/test_distributions.py::TestDistributions::test_lkj_cholesky_log_prob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lognormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lognormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_multinomial_2d, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial, test/distributions/test_distributions.py::TestDistributions::test_normal, test/distributions/test_distributions.py::TestDistributions::test_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_pareto, test/distributions/test_distributions.py::TestDistributions::test_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_forward_ad, test/distributions/test_distributions.py::TestDistributions::test_poisson_log_prob, test/distributions/test_distributions.py::TestDistributions::test_repr, test/distributions/test_distributions.py::TestDistributions::test_rounded_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_studentT, test/distributions/test_distributions.py::TestDistributions::test_studentT_log_prob, test/distributions/test_distributions.py::TestDistributions::test_studentT_sample, test/distributions/test_distributions.py::TestDistributions::test_support_attributes, test/distributions/test_distributions.py::TestDistributions::test_vonmises_logprob, test/distributions/test_distributions.py::TestDistributions::test_vonmises_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_log_prob, test/distributions/test_distributions.py::TestDistributions::test_wishart_moments, test/distributions/test_distributions.py::TestDistributions::test_wishart_properties, test/distributions/test_distributions.py::TestDistributions::test_wishart_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_zero_excluded_binomial, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_alpha, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_beta, test/distributions/test_distributions.py::TestRsample::test_dirichlet_on_diagonal, test/distributions/test_distributions.py::TestRsample::test_dirichlet_tangent_field, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape_vectorized_n, test/distributions/test_distributions.py::TestDistributionShapes::test_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_scalar_param, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_tensor_param, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gumbel_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_mean_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_multinomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_one_hot_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_scalar_params, test/distributions/test_distributions.py::TestKL::test_entropy_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched_broadcasted, test/distributions/test_distributions.py::TestKL::test_kl_transformed, test/distributions/test_distributions.py::TestConstraints::test_support_constraints, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob_with_logits, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_logits_initialization, test/distributions/test_distributions.py::TestAgainstScipy::test_icdf, test/distributions/test_distributions.py::TestAgainstScipy::test_mean, test/distributions/test_distributions.py::TestFunctors::test_cat_event_dim, test/distributions/test_distributions.py::TestFunctors::test_stack_transform, test/distributions/test_distributions.py::TestValidation::test_invalid_log_probs_arg, test/distributions/test_distributions.py::TestValidation::test_valid, test/distributions/test_distributions.py::TestValidation::test_warning_unimplemented_constraints, test/distributions/test_distributions.py::TestJit::test_cdf, test/distributions/test_distributions.py::TestJit::test_mean, test/distributions/test_distributions.py::TestJit::test_sample 2025-08-26T21:44:17.9677855Z 2025-08-26T21:44:17.9678134Z Running distributions/test_distributions 2/2 ... [2025-08-26 21:44:17.958027] 2025-08-26T21:44:17.9678627Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:44:17.9679808Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:44:17.958558] 2025-08-26T21:53:08.6312979Z 2025-08-26T21:53:08.6314272Z distributions/test_distributions 2/2 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_2.2_a499a18d3d8817ed_.log 2025-08-26T21:53:08.6355267Z Running 100 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_beta_sample, test/distributions/test_distributions.py::TestDistributions::test_beta_shape, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow_gpu, test/distributions/test_distributions.py::TestDistributions::test_binomial_bfloat16, test/distributions/test_distributions.py::TestDistributions::test_binomial_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_binomial_extreme_vals, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_stable, test/distributions/test_distributions.py::TestDistributions::test_chi2_sample, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob_zero, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_mode, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_sample, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributions::test_distribution_subclass_expand, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_shape, test/distributions/test_distributions.py::TestDistributions::test_gamma_log_prob_at_boundary, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_gumbel, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_laplace, test/distributions/test_distributions.py::TestDistributions::test_laplace_sample, test/distributions/test_distributions.py::TestDistributions::test_lazy_property_grad, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal, test/distributions/test_distributions.py::TestDistributions::test_lognormal, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_sample, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributions::test_mode, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_sequential_draw, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_poisson_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_shape, test/distributions/test_distributions.py::TestDistributions::test_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_rsample_requires_grad, test/distributions/test_distributions.py::TestDistributions::test_sample_detached, test/distributions/test_distributions.py::TestDistributions::test_torch_binomial_dtype_errors, test/distributions/test_distributions.py::TestDistributions::test_uniform, test/distributions/test_distributions.py::TestDistributions::test_valid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_wishart_shape, test/distributions/test_distributions.py::TestRsample::test_chi2, test/distributions/test_distributions.py::TestRsample::test_dirichlet_multivariate, test/distributions/test_distributions.py::TestRsample::test_gamma, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_entropy_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_kumaraswamy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_pareto_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_weibull_scale_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_tensor_params, test/distributions/test_distributions.py::TestKL::test_entropy_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_edgecases, test/distributions/test_distributions.py::TestKL::test_kl_infinite, test/distributions/test_distributions.py::TestKL::test_kl_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_shape, test/distributions/test_distributions.py::TestConstraints::test_params_constraints, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob_with_logits, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_probs_initialization, test/distributions/test_distributions.py::TestAgainstScipy::test_cdf, test/distributions/test_distributions.py::TestAgainstScipy::test_variance_stddev, test/distributions/test_distributions.py::TestFunctors::test_cat_transform, test/distributions/test_distributions.py::TestFunctors::test_cat_transform_non_uniform, test/distributions/test_distributions.py::TestValidation::test_invalid, test/distributions/test_distributions.py::TestJit::test_entropy, test/distributions/test_distributions.py::TestJit::test_enumerate_support, test/distributions/test_distributions.py::TestJit::test_log_prob, test/distributions/test_distributions.py::TestJit::test_rsample, test/distributions/test_distributions.py::TestJit::test_variance 2025-08-26T21:53:08.6395073Z 2025-08-26T21:53:09.2842870Z Uploading artifacts took 0.65 seconds 2025-08-26T21:53:09.2848222Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-08-26 21:53:09.284546] 2025-08-26T21:53:12.1891395Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:53:12.1893026Z import pkg_resources 2025-08-26T21:53:12.2627446Z running install 2025-08-26T21:53:12.2630013Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:53:12.2630833Z !! 2025-08-26T21:53:12.2630958Z 2025-08-26T21:53:12.2631099Z ******************************************************************************** 2025-08-26T21:53:12.2631474Z Please avoid running ``setup.py`` directly. 2025-08-26T21:53:12.2631882Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:53:12.2632255Z standards-based tools. 2025-08-26T21:53:12.2632441Z 2025-08-26T21:53:12.2632679Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:53:12.2633152Z or your builds will no longer be supported. 2025-08-26T21:53:12.2633404Z 2025-08-26T21:53:12.2633707Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:53:12.2634252Z ******************************************************************************** 2025-08-26T21:53:12.2634492Z 2025-08-26T21:53:12.2634586Z !! 2025-08-26T21:53:12.2634808Z self.initialize_options() 2025-08-26T21:53:12.2755546Z running build 2025-08-26T21:53:12.2755857Z running build_py 2025-08-26T21:53:12.2833492Z creating build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension 2025-08-26T21:53:12.2834779Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension 2025-08-26T21:53:12.2845071Z running build_ext 2025-08-26T21:53:12.2861748Z building 'torch_test_cpp_extension.cpp' extension 2025-08-26T21:53:12.2863234Z creating build/temp.linux-x86_64-cpython-39 2025-08-26T21:53:12.2867854Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.9/include/python3.9 -c extension.cpp -o build/temp.linux-x86_64-cpython-39/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-26T21:53:13.6360597Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-08-26T21:53:13.6361618Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-08-26T21:53:13.6362478Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:9, 2025-08-26T21:53:13.6363022Z from extension.cpp:1: 2025-08-26T21:53:13.6388073Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-08-26T21:53:13.6389058Z extension.cpp:45:53: required from here 2025-08-26T21:53:13.6390666Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/pybind11/pybind11.h:2041:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-08-26T21:53:13.6392114Z 2041 | class class_ : public detail::generic_type { 2025-08-26T21:53:13.6392476Z | ^~~~~~ 2025-08-26T21:53:13.6394107Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-08-26T21:53:13.6395496Z extension.cpp:45:53: required from here 2025-08-26T21:53:13.6397955Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/pybind11/pybind11.h:2139:28: warning: ‘pybind11::class_::class_<>(pybind11::handle, const char*)::’ declared with greater visibility than the type of its field ‘pybind11::class_::class_<>(pybind11::handle, const char*)::::’ [-Wattributes] 2025-08-26T21:53:13.6399921Z 2139 | with_internals([&](internals &internals) { 2025-08-26T21:53:13.6400312Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:13.6400838Z 2140 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-08-26T21:53:13.6401413Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:13.6401866Z 2141 | : internals.registered_types_cpp; 2025-08-26T21:53:13.6402267Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:13.6402696Z 2142 | instances[std::type_index(typeid(type_alias))] 2025-08-26T21:53:13.6403104Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:13.6403500Z 2143 | = instances[std::type_index(typeid(type))]; 2025-08-26T21:53:13.6403895Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:13.6404207Z 2144 | }); 2025-08-26T21:53:13.6404455Z | ~ 2025-08-26T21:53:13.6406594Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -shared build/temp.linux-x86_64-cpython-39/extension.o -L/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/cpp.cpython-39-x86_64-linux-gnu.so 2025-08-26T21:53:14.3996037Z building 'torch_test_cpp_extension.maia' extension 2025-08-26T21:53:14.4001586Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.9/include/python3.9 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-39/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-26T21:53:15.8023956Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -shared build/temp.linux-x86_64-cpython-39/maia_extension.o -L/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/maia.cpython-39-x86_64-linux-gnu.so 2025-08-26T21:53:16.5459506Z building 'torch_test_cpp_extension.rng' extension 2025-08-26T21:53:16.5465024Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.9/include/python3.9 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-39/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-26T21:53:18.0892531Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:53:18.0894565Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:53:18.0895712Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:53:18.0897104Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:53:18.0898197Z from rng_extension.cpp:6: 2025-08-26T21:53:18.0899960Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1478: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:53:18.0901447Z 1478 | #pragma unroll 2025-08-26T21:53:18.0901913Z | 2025-08-26T21:53:18.0902862Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-08-26T21:53:18.0904336Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530, 2025-08-26T21:53:18.0905803Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:53:18.0907209Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:53:18.0908783Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:53:18.0914105Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:53:18.0915317Z from rng_extension.cpp:6: 2025-08-26T21:53:18.0916825Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:53:18.0917873Z 59 | #pragma unroll 2025-08-26T21:53:18.0918118Z | 2025-08-26T21:53:18.0918966Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:53:18.0919742Z 72 | #pragma unroll 2025-08-26T21:53:18.0920096Z | 2025-08-26T21:53:18.0920912Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:53:18.0921696Z 87 | #pragma unroll 2025-08-26T21:53:18.0921933Z | 2025-08-26T21:53:18.0922467Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531, 2025-08-26T21:53:18.0923380Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:53:18.0924178Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:53:18.0924942Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:53:18.0925829Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:53:18.0926501Z from rng_extension.cpp:6: 2025-08-26T21:53:18.0927617Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:53:18.0928418Z 160 | #pragma unroll 2025-08-26T21:53:18.0928643Z | 2025-08-26T21:53:18.0929143Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.0929978Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.0930766Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.0931782Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.0932619Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.0933446Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.0934354Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.0935228Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.0936096Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.0936998Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.0937945Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.0938784Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.0939330Z from rng_extension.cpp:1: 2025-08-26T21:53:18.0940414Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.0942077Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.0945536Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.0947283Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.0949251Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.0951299Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.0957650Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.0968423Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.0974531Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.0975459Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.0975909Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.0982274Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.0988859Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.0990189Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.0990605Z | ^~~~~~~~ 2025-08-26T21:53:18.0991228Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.0992218Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.0993078Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.0993936Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.0994681Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.0995519Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.0996577Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.0997703Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.0998825Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.0999938Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.1000938Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.1001872Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.1002705Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1003242Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1004173Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.1004910Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.1005252Z | ^~~~ 2025-08-26T21:53:18.1005813Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.1006633Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.1007423Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.1008301Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.1009029Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.1009856Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.1010973Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.1011850Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.1012728Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.1013655Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.1014709Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.1015524Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1016076Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1017093Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.1018652Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.1020407Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.1022168Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.1024037Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.1026050Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.1031934Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.1041725Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.1047536Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.1048469Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.1048852Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.1054776Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.1060976Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.1062258Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.1062678Z | ^~~~~~~~ 2025-08-26T21:53:18.1063278Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.1064304Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.1065169Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.1065957Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.1066697Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.1067537Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.1068572Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.1069697Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.1070826Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.1071922Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.1072912Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.1073818Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.1074683Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1075224Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1076039Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.1076772Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.1077100Z | ^~~~ 2025-08-26T21:53:18.1077657Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.1078482Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.1079305Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.1080073Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.1080779Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.1081600Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.1082506Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.1083376Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.1084245Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.1085157Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.1086105Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.1086929Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1087550Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1088598Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.1090137Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.1091835Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.1093638Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.1095508Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.1097513Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.1103716Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.1114401Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.1120473Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.1121406Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.1121772Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.1128044Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.1134595Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.1135922Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.1136330Z | ^~~~~~~~ 2025-08-26T21:53:18.1136952Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.1137937Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.1138851Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.1139649Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.1140384Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.1141203Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.1142250Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.1143377Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.1144510Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.1145605Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.1146596Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.1147520Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.1148347Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1148924Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1149723Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.1150450Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.1150789Z | ^~~~ 2025-08-26T21:53:18.1151354Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.1152185Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.1152999Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.1153772Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.1154493Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.1155315Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.1156221Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.1157080Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.1157946Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.1158896Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.1159835Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.1160660Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1161199Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1162175Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.1163758Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.1165465Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.1167205Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.1169153Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.1171170Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.1177347Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.1187723Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.1193668Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.1194590Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.1194966Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.1201226Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.1207842Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.1209120Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.1209531Z | ^~~~~~~~ 2025-08-26T21:53:18.1210394Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.1211388Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.1212248Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.1213192Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.1213936Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.1214756Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.1215801Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.1216931Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.1218050Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.1219150Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.1220189Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.1221112Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.1221940Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1222474Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1223308Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.1224088Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.1224437Z | ^~~~ 2025-08-26T21:53:18.1225006Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.1225829Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.1226624Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.1227393Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.1228114Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.1228935Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.1229827Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.1230697Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.1231562Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.1232477Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.1233486Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.1234309Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1234852Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1235847Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.1237414Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.1239159Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.1240909Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.1242777Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.1244792Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.1250807Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.1260648Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.1266228Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.1267157Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.1267544Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.1273409Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.1279720Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.1280992Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.1281413Z | ^~~~~~~~ 2025-08-26T21:53:18.1282012Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.1283043Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.1283915Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.1284716Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.1285459Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.1286264Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.1287293Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.1288598Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.1289729Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.1290831Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.1291828Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.1292740Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.1293619Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1294162Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1294979Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.1295718Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.1296046Z | ^~~~ 2025-08-26T21:53:18.1296606Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.1297494Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.1298286Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.1299041Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.1299762Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.1300579Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.1301486Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.1302356Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.1303258Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.1304219Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.1305161Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.1305985Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1306527Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1307548Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.1309095Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.1311081Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.1312854Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.1314726Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.1316741Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.1323033Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.1333563Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.1339586Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.1340559Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.1340927Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.1347111Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.1353690Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.1354970Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.1355371Z | ^~~~~~~~ 2025-08-26T21:53:18.1355987Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.1356967Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.1357862Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.1358651Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.1359378Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.1360193Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.1361231Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.1362352Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.1363483Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.1364597Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.1365590Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.1366513Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.1367336Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1367972Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1368816Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.1369548Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.1369898Z | ^~~~ 2025-08-26T21:53:18.1370461Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.1371293Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.1372073Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.1372841Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.1373561Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.1374383Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.1375289Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.1376145Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.1377008Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.1378021Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.1393338Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.1394318Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1394881Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1395962Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.1397648Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.1399357Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.1401109Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.1402978Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.1404994Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.1411276Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.1421190Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.1426829Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.1427763Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.1428198Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.1434088Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.1440355Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.1441639Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.1442051Z | ^~~~~~~~ 2025-08-26T21:53:18.1442707Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.1443693Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.1444551Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.1445345Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.1446094Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.1446911Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.1448035Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.1449145Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.1450276Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.1451381Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.1452412Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.1453346Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.1454175Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1454715Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1455551Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.1456294Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.1456679Z | ^~~~ 2025-08-26T21:53:18.1457238Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.1458077Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.1458875Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.1459651Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.1460381Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.1461208Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.1462102Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.1463006Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.1463880Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.1464801Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.1465749Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.1466569Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1467144Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1468135Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.1469690Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.1471388Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.1473129Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.1474992Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.1477015Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.1482849Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.1492758Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.1498420Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.1499380Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.1499764Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.1505648Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.1512348Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.1513631Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.1514044Z | ^~~~~~~~ 2025-08-26T21:53:18.1514653Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.1515637Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.1516556Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.1517349Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.1518088Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.1518895Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.1519943Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.1521067Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.1522194Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.1523347Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.1524342Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.1525270Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.1526102Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1526652Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1527631Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.1528361Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.1528708Z | ^~~~ 2025-08-26T21:53:18.1529276Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.1530110Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.1530906Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.1531660Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.1532385Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.1533206Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.1534111Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.1534984Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.1535838Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.1536784Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.1537726Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.1538551Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1539095Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1540079Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.1541698Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.1543402Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.1545149Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.1547015Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.1549026Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.1554919Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.1564697Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.1570393Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.1571318Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.1571696Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.1577631Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.1583835Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.1585114Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.1585511Z | ^~~~~~~~ 2025-08-26T21:53:18.1586127Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.1587141Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.1588008Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.1588808Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.1589533Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.1590353Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.1591395Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.1592519Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.1593647Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.1594739Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.1595728Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.1596680Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.1597507Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1598052Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1598850Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.1599577Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.1599954Z | ^~~~ 2025-08-26T21:53:18.1600514Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.1601347Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.1602117Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.1602887Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.1603606Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.1604440Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.1605361Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.1606216Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.1607115Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.1608117Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.1609061Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.1609884Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1610679Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1611767Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.1613336Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.1615044Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.1616778Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.1618637Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.1620657Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.1626489Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.1636332Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.1642005Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.1642963Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.1643346Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.1649301Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.1655568Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.1656893Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.1657302Z | ^~~~~~~~ 2025-08-26T21:53:18.1657916Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.1658889Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.1659827Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.1660630Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.1661376Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.1662198Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.1663241Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.1664352Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.1665533Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.1666640Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.1667666Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.1668599Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.1669416Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1669961Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1670778Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.1671546Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.1671886Z | ^~~~ 2025-08-26T21:53:18.1672438Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.1673272Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.1674060Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.1674824Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.1675542Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.1676345Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.1677249Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.1678115Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.1679011Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.1679923Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.1680896Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.1681731Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1682279Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1683265Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.1684850Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.1686545Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.1688380Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.1690250Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.1692244Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.1698157Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.1708001Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.1713932Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.1714867Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.1715243Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.1721126Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.1727556Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.1728831Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.1729230Z | ^~~~~~~~ 2025-08-26T21:53:18.1729847Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.1730889Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.1731754Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.1732553Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.1733278Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.1734100Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.1735144Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.1736270Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.1737401Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.1738505Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.1739485Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.1740448Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.1741277Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1741813Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1742632Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.1743350Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.1743686Z | ^~~~ 2025-08-26T21:53:18.1744285Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.1745119Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.1745898Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.1746666Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.1747384Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.1748199Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.1749100Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.1749969Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.1750859Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.1751774Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.1752721Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.1753549Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1754091Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1755114Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.1756672Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.1758380Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.1760180Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.1762039Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.1764039Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.1769941Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.1779733Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.1785379Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.1786301Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.1786714Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.1792596Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.1798821Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.1800134Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.1800544Z | ^~~~~~~~ 2025-08-26T21:53:18.1801144Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.1802131Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.1802997Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.1803824Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.1804574Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.1805381Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.1806421Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.1807615Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.1808748Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.1809863Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.1811143Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.1812064Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.1812895Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1813439Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1814267Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.1814979Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.1815396Z | ^~~~ 2025-08-26T21:53:18.1815960Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.1816802Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.1817597Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.1818353Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.1819079Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.1819898Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.1820803Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.1821670Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.1822526Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.1823446Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.1824432Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.1825260Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1825799Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1826775Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.1828318Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.1830080Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.1831828Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.1833687Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.1835701Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.1841950Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.1852409Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.1858341Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.1859248Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.1859628Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.1865864Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.1872391Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.1873652Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.1874063Z | ^~~~~~~~ 2025-08-26T21:53:18.1874727Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.1875850Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.1876733Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.1877516Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.1878261Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.1879083Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.1880124Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.1881246Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.1882378Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.1883466Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.1884530Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.1885452Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.1886277Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1886817Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1887712Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.1888479Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.1888849Z | ^~~~ 2025-08-26T21:53:18.1889397Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.1890238Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.1891034Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.1891802Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.1892523Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.1893334Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.1894236Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.1895149Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.1896019Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.1896942Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.1897883Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.1898693Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1899276Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1900270Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.1901824Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.1903525Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.1905299Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.1907164Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.1909184Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.1915772Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.1926459Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.1932561Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.1933489Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.1933864Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.1940242Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.1946802Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.1948072Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.1948528Z | ^~~~~~~~ 2025-08-26T21:53:18.1949152Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.1950125Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.1951004Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.1951800Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.1952543Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.1953363Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.1954394Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.1955573Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.1956699Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.1957802Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.1958794Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.1959750Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.1960570Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1961117Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1961933Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.1962668Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.1963000Z | ^~~~ 2025-08-26T21:53:18.1963567Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.1964398Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.1965188Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.1965959Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.1966670Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.1967549Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.1968474Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.1969384Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.1970251Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.1971170Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.1972098Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.1972968Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.1973510Z from rng_extension.cpp:1: 2025-08-26T21:53:18.1974504Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.1976063Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.1977765Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.1979500Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.1981396Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.1983395Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.1989641Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.2000354Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.2006390Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.2007314Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.2007765Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.2014446Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.2021068Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.2022352Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.2022766Z | ^~~~~~~~ 2025-08-26T21:53:18.2023374Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.2024360Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.2025231Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.2026030Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.2026769Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.2027578Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.2028617Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.2029789Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.2030915Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.2032016Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.2033004Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.2033965Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.2034796Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2035339Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2036163Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.2036899Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.2037228Z | ^~~~ 2025-08-26T21:53:18.2037791Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.2038630Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.2039427Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.2040222Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.2040950Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.2041837Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.2042741Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.2043616Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.2044518Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.2045431Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.2046375Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.2047201Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2047835Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2048825Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.2050375Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.2052064Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.2053811Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.2055711Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.2057743Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.2064005Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.2074618Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.2080575Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.2081489Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.2081854Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.2088280Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.2094906Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.2096180Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.2096580Z | ^~~~~~~~ 2025-08-26T21:53:18.2097194Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.2098175Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.2099038Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.2099868Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.2100594Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.2101416Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.2102454Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.2103577Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.2104742Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.2105848Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.2106830Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.2107761Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.2108587Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2109127Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2109938Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.2110892Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.2111237Z | ^~~~ 2025-08-26T21:53:18.2111811Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.2112652Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.2113427Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.2114288Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.2115013Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.2115832Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.2116740Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.2117615Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.2118521Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.2119437Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.2120374Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.2121193Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2121735Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2122720Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.2124269Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.2126015Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.2127875Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.2129798Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.2131820Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.2138046Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.2148603Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.2154643Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.2155553Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.2155941Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.2162341Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.2168965Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.2170232Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.2170641Z | ^~~~~~~~ 2025-08-26T21:53:18.2171251Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.2172242Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.2173158Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.2173987Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.2174748Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.2175571Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.2176618Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.2177768Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.2178908Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.2179997Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.2180990Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.2181919Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.2182749Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2183297Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2184106Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.2184878Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.2185225Z | ^~~~ 2025-08-26T21:53:18.2185796Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.2186626Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.2187416Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.2188187Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.2188965Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.2189793Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.2190705Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.2191564Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.2192432Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.2193357Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.2194298Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.2195127Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2195656Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2196634Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.2198182Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.2199907Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.2201656Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.2203520Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.2205584Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.2212155Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.2222912Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.2228850Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.2229777Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.2230162Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.2236504Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.2243057Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.2244376Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.2244788Z | ^~~~~~~~ 2025-08-26T21:53:18.2245397Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.2246377Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.2247234Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.2248106Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.2248887Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.2249710Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.2250760Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.2251865Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.2252994Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.2254086Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.2255079Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.2256001Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.2256827Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2257356Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2258175Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.2258941Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.2259284Z | ^~~~ 2025-08-26T21:53:18.2259829Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.2260662Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.2261452Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.2262215Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.2263021Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.2263843Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.2264742Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.2265611Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.2266481Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.2267401Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.2268340Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.2269648Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2270189Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2271186Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.2272736Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.2274459Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.2276206Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.2278078Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.2280094Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.2286391Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.2297030Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.2303095Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.2304018Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.2304400Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.2311054Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.2317612Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.2318886Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.2319351Z | ^~~~~~~~ 2025-08-26T21:53:18.2319971Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.2320949Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.2321824Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.2322621Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.2323446Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.2324270Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.2325303Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.2326436Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.2327638Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.2328781Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.2329783Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.2330718Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.2331537Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2332074Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2332899Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.2333636Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.2333979Z | ^~~~ 2025-08-26T21:53:18.2334531Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.2335370Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.2336167Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.2336933Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.2337650Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.2338454Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.2339359Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.2340228Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.2341092Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.2342043Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.2342970Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.2343842Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2344388Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2345377Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.2346934Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.2348629Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.2350417Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.2352273Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.2354319Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.2360599Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.2371282Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.2377282Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.2378205Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.2378581Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.2384945Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.2391546Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.2392819Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.2393235Z | ^~~~~~~~ 2025-08-26T21:53:18.2393867Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.2394851Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.2395727Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.2396520Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.2397292Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.2398100Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.2399138Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.2400260Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.2401438Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.2402534Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.2403527Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.2404433Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.2405260Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2405799Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2406616Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.2407350Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.2407763Z | ^~~~ 2025-08-26T21:53:18.2408368Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.2409197Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.2409988Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.2410928Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.2411636Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.2412532Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.2413430Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.2414301Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.2415166Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.2416072Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.2417012Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.2417836Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2418379Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2419388Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.2420947Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.2422693Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.2424447Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.2426320Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.2428379Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.2434622Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.2445294Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.2451408Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.2452342Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.2452707Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.2459064Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.2465640Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.2466911Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.2467315Z | ^~~~~~~~ 2025-08-26T21:53:18.2467971Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.2468960Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.2469833Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.2470633Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.2471357Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.2472215Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.2473258Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.2474396Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.2475528Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.2476631Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.2477606Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.2478532Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.2479356Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2479899Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2480709Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.2481426Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.2481807Z | ^~~~ 2025-08-26T21:53:18.2482412Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.2483242Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.2484039Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.2484792Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.2485513Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.2486372Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.2487270Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.2488215Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.2489078Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.2489995Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.2490937Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.2491781Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2492361Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2493337Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.2495005Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.2496699Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.2498488Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.2500362Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.2502381Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.2508239Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.2518306Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.2524066Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.2525075Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.2525457Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.2531467Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.2537687Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.2538974Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.2539394Z | ^~~~~~~~ 2025-08-26T21:53:18.2540009Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.2540990Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.2541894Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.2542687Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.2543427Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.2544250Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.2545289Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.2546438Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.2547573Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.2548667Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.2549655Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.2550570Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.2551395Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2551924Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2552773Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.2553503Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.2553843Z | ^~~~ 2025-08-26T21:53:18.2554394Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.2555226Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.2555568Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.2555905Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.2556210Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.2556615Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.2556991Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.2557373Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.2557745Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.2558175Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.2558571Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.2558890Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2559006Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2559755Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.2560650Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.2561571Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.2562491Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.2563574Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.2564654Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.2570010Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.2576033Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.2576853Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.2577016Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.2577161Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.2583235Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.2584534Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.2584773Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.2584858Z | ^~~~~~~~ 2025-08-26T21:53:18.2585334Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.2585742Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.2586089Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.2586466Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.2586765Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.2587178Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.2587690Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.2588196Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.2588711Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.2589185Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.2589590Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.2590002Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.2590310Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2590423Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2591060Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.2591196Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.2591298Z | ^~~~ 2025-08-26T21:53:18.2591675Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.2592024Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.2592357Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.2592697Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.2593000Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.2593407Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.2593802Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.2594171Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.2594561Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.2594980Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.2595403Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.2595719Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2595832Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2596600Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.2597448Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.2598406Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.2599320Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.2600372Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.2601448Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.2606762Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.2613018Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.2613935Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.2614102Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.2614213Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.2620423Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.2621698Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.2621950Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.2622051Z | ^~~~~~~~ 2025-08-26T21:53:18.2622509Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.2622918Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.2623266Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.2623661Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.2623957Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.2624368Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.2624884Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.2625370Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.2625899Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.2626363Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.2626797Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.2627200Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.2627507Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2627630Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2628212Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.2628347Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.2641762Z | ^~~~ 2025-08-26T21:53:18.2642277Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.2642632Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.2642970Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.2643300Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.2643590Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.2644007Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.2644381Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.2644766Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.2645140Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.2645559Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.2646055Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.2646364Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2646497Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2647372Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.2648365Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.2649332Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.2650263Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.2651300Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.2652395Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.2657774Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.2663748Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.2664579Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.2664736Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.2664891Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.2670996Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.2672286Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.2672505Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.2672635Z | ^~~~~~~~ 2025-08-26T21:53:18.2673111Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.2673520Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.2673860Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.2674209Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.2674490Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.2674914Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.2675426Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.2675936Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.2676452Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.2676915Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.2677360Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.2677757Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.2678075Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2678190Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2678785Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.2678955Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.2679046Z | ^~~~ 2025-08-26T21:53:18.2679432Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.2679766Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.2680107Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.2680412Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.2680716Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.2681120Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.2681494Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.2681904Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.2682274Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.2682704Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.2683098Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.2683445Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2683558Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2684317Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.2685241Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.2686160Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.2687082Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.2688194Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.2689289Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.2694196Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.2699741Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.2700628Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.2700792Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.2700924Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.2706583Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.2707865Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.2708087Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.2708175Z | ^~~~~~~~ 2025-08-26T21:53:18.2708647Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.2709081Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.2709422Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.2709765Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.2710348Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.2710815Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.2711327Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.2711834Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.2712352Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.2712936Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.2713365Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.2713758Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.2714075Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2714238Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2714854Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.2714992Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.2715087Z | ^~~~ 2025-08-26T21:53:18.2715478Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:18.2715810Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:18.2716158Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:18.2716463Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:18.2716765Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:18.2717176Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:18.2717552Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:18.2717941Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:18.2718311Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:18.2718787Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:18.2719180Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:18.2719500Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2719611Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2720371Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:18.2721283Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:18.2722195Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:18.2723116Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:18.2724148Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:18.2725275Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:18.2730707Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:18.2736657Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:18.2737472Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:18.2737672Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:18.2737786Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:18.2743873Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:18.2745176Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:18.2745398Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:18.2745487Z | ^~~~~~~~ 2025-08-26T21:53:18.2745962Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:18.2746368Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:18.2746723Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:18.2747054Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:18.2747337Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:18.2747760Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:18.2748272Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:18.2748777Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:18.2749334Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:18.2749809Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:18.2750209Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:18.2750619Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:18.2750954Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:18.2751067Z from rng_extension.cpp:1: 2025-08-26T21:53:18.2751660Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:18.2751793Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:18.2751900Z | ^~~~ 2025-08-26T21:53:18.2753830Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -shared build/temp.linux-x86_64-cpython-39/rng_extension.o -L/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/rng.cpython-39-x86_64-linux-gnu.so 2025-08-26T21:53:18.8720069Z running install_lib 2025-08-26T21:53:18.8805820Z creating install/opt/conda/envs/py_3.9/lib/python3.9/site-packages 2025-08-26T21:53:18.8809452Z creating install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension 2025-08-26T21:53:18.8811893Z copying build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension 2025-08-26T21:53:18.8813703Z copying build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/cpp.cpython-39-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension 2025-08-26T21:53:18.8885717Z copying build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/maia.cpython-39-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension 2025-08-26T21:53:18.8958276Z copying build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/rng.cpython-39-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension 2025-08-26T21:53:18.9039460Z byte-compiling ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-39.pyc 2025-08-26T21:53:18.9042318Z running install_egg_info 2025-08-26T21:53:18.9224124Z running egg_info 2025-08-26T21:53:18.9300750Z creating torch_test_cpp_extension.egg-info 2025-08-26T21:53:18.9301834Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-26T21:53:18.9306716Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-26T21:53:18.9309242Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-26T21:53:18.9311886Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-26T21:53:18.9313386Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:53:18.9392884Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:53:18.9402140Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:53:18.9403888Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension-0.0.0-py3.9.egg-info 2025-08-26T21:53:18.9411529Z running install_scripts 2025-08-26T21:53:21.5408107Z running install 2025-08-26T21:53:21.5409754Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:53:21.5410819Z !! 2025-08-26T21:53:21.5410932Z 2025-08-26T21:53:21.5411067Z ******************************************************************************** 2025-08-26T21:53:21.5411470Z Please avoid running ``setup.py`` directly. 2025-08-26T21:53:21.5411861Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:53:21.5412247Z standards-based tools. 2025-08-26T21:53:21.5412435Z 2025-08-26T21:53:21.5412678Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:53:21.5413282Z or your builds will no longer be supported. 2025-08-26T21:53:21.5413530Z 2025-08-26T21:53:21.5413836Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:53:21.5414381Z ******************************************************************************** 2025-08-26T21:53:21.5414635Z 2025-08-26T21:53:21.5414716Z !! 2025-08-26T21:53:21.5414938Z self.initialize_options() 2025-08-26T21:53:21.5533245Z running build 2025-08-26T21:53:21.5533690Z running build_ext 2025-08-26T21:53:21.5962466Z building 'no_python_abi_suffix_test' extension 2025-08-26T21:53:21.5966509Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-39 2025-08-26T21:53:21.7596488Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-39/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.9/include/python3.9 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-39/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -std=c++17 2025-08-26T21:53:21.7647278Z creating build/lib.linux-x86_64-cpython-39 2025-08-26T21:53:21.7652490Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -shared /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-39/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-39/no_python_abi_suffix_test.so 2025-08-26T21:53:21.8916851Z running install_lib 2025-08-26T21:53:21.8999954Z creating install/opt/conda/envs/py_3.9/lib/python3.9/site-packages 2025-08-26T21:53:21.9003167Z copying build/lib.linux-x86_64-cpython-39/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages 2025-08-26T21:53:21.9009092Z running install_egg_info 2025-08-26T21:53:21.9190106Z running egg_info 2025-08-26T21:53:21.9263614Z creating no_python_abi_suffix_test.egg-info 2025-08-26T21:53:21.9265053Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2025-08-26T21:53:21.9269582Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2025-08-26T21:53:21.9272664Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2025-08-26T21:53:21.9274407Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T21:53:21.9348068Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T21:53:21.9356882Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T21:53:21.9358554Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/no_python_abi_suffix_test-0.0.0-py3.9.egg-info 2025-08-26T21:53:21.9363844Z running install_scripts 2025-08-26T21:53:22.4924238Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:53:22.4930689Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:53:22.492701] 2025-08-26T21:53:37.0536628Z 2025-08-26T21:53:37.0537835Z test_cpp_extensions_aot_no_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_630a06bbbfbcf897_.log 2025-08-26T21:53:37.0546927Z Running 21 items in this shard: test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_no_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_no_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_no_ninja.py::TestTorchLibrary::test_torch_library 2025-08-26T21:53:37.0554617Z 2025-08-26T21:53:37.0554902Z Running test_autoload_disable 1/1 ... [2025-08-26 21:53:37.054429] 2025-08-26T21:53:40.0107122Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:53:40.0108660Z import pkg_resources 2025-08-26T21:53:40.0867101Z running install 2025-08-26T21:53:40.0869590Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:53:40.0870378Z !! 2025-08-26T21:53:40.0870501Z 2025-08-26T21:53:40.0870639Z ******************************************************************************** 2025-08-26T21:53:40.0871023Z Please avoid running ``setup.py`` directly. 2025-08-26T21:53:40.0871439Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:53:40.0871805Z standards-based tools. 2025-08-26T21:53:40.0872000Z 2025-08-26T21:53:40.0872226Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:53:40.0872707Z or your builds will no longer be supported. 2025-08-26T21:53:40.0872950Z 2025-08-26T21:53:40.0873434Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:53:40.0873956Z ******************************************************************************** 2025-08-26T21:53:40.0874230Z 2025-08-26T21:53:40.0874313Z !! 2025-08-26T21:53:40.0874544Z self.initialize_options() 2025-08-26T21:53:40.1000569Z running build 2025-08-26T21:53:40.1000826Z running build_py 2025-08-26T21:53:40.1082791Z creating build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension 2025-08-26T21:53:40.1084866Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension 2025-08-26T21:53:40.1089299Z running build_ext 2025-08-26T21:53:40.1107693Z building 'torch_test_cpp_extension.cpp' extension 2025-08-26T21:53:40.1109231Z creating build/temp.linux-x86_64-cpython-39 2025-08-26T21:53:40.1114170Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.9/include/python3.9 -c extension.cpp -o build/temp.linux-x86_64-cpython-39/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-26T21:53:41.2851649Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-08-26T21:53:41.2852644Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-08-26T21:53:41.2853676Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:9, 2025-08-26T21:53:41.2854214Z from extension.cpp:1: 2025-08-26T21:53:41.2855505Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-08-26T21:53:41.2856353Z extension.cpp:45:53: required from here 2025-08-26T21:53:41.2857797Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/pybind11/pybind11.h:2041:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-08-26T21:53:41.2859112Z 2041 | class class_ : public detail::generic_type { 2025-08-26T21:53:41.2859456Z | ^~~~~~ 2025-08-26T21:53:41.2861065Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-08-26T21:53:41.2862457Z extension.cpp:45:53: required from here 2025-08-26T21:53:41.2864939Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/pybind11/pybind11.h:2139:28: warning: ‘pybind11::class_::class_<>(pybind11::handle, const char*)::’ declared with greater visibility than the type of its field ‘pybind11::class_::class_<>(pybind11::handle, const char*)::::’ [-Wattributes] 2025-08-26T21:53:41.2867016Z 2139 | with_internals([&](internals &internals) { 2025-08-26T21:53:41.2867399Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:41.2867913Z 2140 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-08-26T21:53:41.2868499Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:41.2868953Z 2141 | : internals.registered_types_cpp; 2025-08-26T21:53:41.2869464Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:41.2869890Z 2142 | instances[std::type_index(typeid(type_alias))] 2025-08-26T21:53:41.2870284Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:41.2870677Z 2143 | = instances[std::type_index(typeid(type))]; 2025-08-26T21:53:41.2871076Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:41.2871401Z 2144 | }); 2025-08-26T21:53:41.2871708Z | ~ 2025-08-26T21:53:41.2873820Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -shared build/temp.linux-x86_64-cpython-39/extension.o -L/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/cpp.cpython-39-x86_64-linux-gnu.so 2025-08-26T21:53:42.0510820Z building 'torch_test_cpp_extension.maia' extension 2025-08-26T21:53:42.0516482Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.9/include/python3.9 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-39/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-26T21:53:43.2285949Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -shared build/temp.linux-x86_64-cpython-39/maia_extension.o -L/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/maia.cpython-39-x86_64-linux-gnu.so 2025-08-26T21:53:43.9730155Z building 'torch_test_cpp_extension.rng' extension 2025-08-26T21:53:43.9736561Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.9/include/python3.9 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-39/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-26T21:53:45.3067780Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:53:45.3069340Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:53:45.3070590Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:53:45.3072040Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:53:45.3073179Z from rng_extension.cpp:6: 2025-08-26T21:53:45.3075725Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1478: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:53:45.3077636Z 1478 | #pragma unroll 2025-08-26T21:53:45.3078167Z | 2025-08-26T21:53:45.3079757Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-08-26T21:53:45.3081855Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530, 2025-08-26T21:53:45.3083722Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:53:45.3085052Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:53:45.3086328Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:53:45.3088127Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:53:45.3089179Z from rng_extension.cpp:6: 2025-08-26T21:53:45.3090907Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:53:45.3092286Z 59 | #pragma unroll 2025-08-26T21:53:45.3092750Z | 2025-08-26T21:53:45.3094146Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:53:45.3095509Z 72 | #pragma unroll 2025-08-26T21:53:45.3095913Z | 2025-08-26T21:53:45.3097108Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:53:45.3098045Z 87 | #pragma unroll 2025-08-26T21:53:45.3098304Z | 2025-08-26T21:53:45.3098900Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531, 2025-08-26T21:53:45.3099910Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:53:45.3100714Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:53:45.3101474Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:53:45.3102368Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:53:45.3103038Z from rng_extension.cpp:6: 2025-08-26T21:53:45.3104064Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:53:45.3104872Z 160 | #pragma unroll 2025-08-26T21:53:45.3105104Z | 2025-08-26T21:53:45.3105605Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.3106449Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.3107244Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.3108008Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.3108716Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.3109542Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.3110792Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.3111675Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.3112659Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.3113666Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.3114612Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.3115440Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3115986Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3117067Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.3118695Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.3120404Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.3122161Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.3124033Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.3126055Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.3132541Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.3143173Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.3149114Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.3150084Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.3150462Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.3156795Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.3163429Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.3164706Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.3165126Z | ^~~~~~~~ 2025-08-26T21:53:45.3165727Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.3166727Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.3167678Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.3168481Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.3169229Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.3170057Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.3171102Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.3172244Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.3173378Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.3174531Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.3175514Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.3176439Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.3177270Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3177855Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3178678Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.3179403Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.3179744Z | ^~~~ 2025-08-26T21:53:45.3180309Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.3181144Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.3181933Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.3182686Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.3183404Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.3184227Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.3185202Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.3186076Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.3186931Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.3187848Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.3188848Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.3189675Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3190223Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3191209Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.3192771Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.3194481Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.3196246Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.3198112Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.3200184Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.3205970Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.3216257Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.3221976Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.3222911Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.3223295Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.3229222Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.3235488Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.3236771Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.3237188Z | ^~~~~~~~ 2025-08-26T21:53:45.3237853Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.3238835Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.3239690Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.3240486Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.3241227Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.3242058Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.3243103Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.3244218Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.3245381Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.3246482Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.3247470Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.3248485Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.3249357Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3249895Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3250710Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.3251443Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.3251787Z | ^~~~ 2025-08-26T21:53:45.3252337Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.3253170Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.3253966Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.3254734Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.3255458Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.3256281Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.3257178Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.3258081Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.3258949Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.3259868Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.3260817Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.3261643Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3262217Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3263207Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.3264766Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.3266467Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.3268215Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.3270081Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.3272137Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.3278283Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.3288872Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.3294837Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.3295771Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.3296152Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.3302358Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.3308939Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.3310441Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.3310874Z | ^~~~~~~~ 2025-08-26T21:53:45.3311494Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.3312469Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.3313341Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.3314138Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.3314889Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.3315709Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.3316738Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.3317865Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.3319067Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.3320170Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.3321162Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.3322089Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.3322945Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3323489Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3324321Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.3325051Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.3325391Z | ^~~~ 2025-08-26T21:53:45.3325938Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.3326771Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.3327633Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.3328405Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.3329183Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.3329994Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.3330902Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.3331775Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.3332646Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.3333608Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.3334547Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.3335378Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3335923Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3336929Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.3338479Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.3340181Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.3341932Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.3343796Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.3345840Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.3351973Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.3362432Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.3368402Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.3369331Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.3369710Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.3375991Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.3382463Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.3383781Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.3384194Z | ^~~~~~~~ 2025-08-26T21:53:45.3384797Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.3385778Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.3386640Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.3387436Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.3388178Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.3389019Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.3390066Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.3391196Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.3392332Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.3393523Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.3394514Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.3395428Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.3396250Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3396795Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3397608Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.3398338Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.3398670Z | ^~~~ 2025-08-26T21:53:45.3399230Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.3400072Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.3400866Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.3401631Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.3402356Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.3403235Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.3404142Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.3405008Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.3405876Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.3406807Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.3407824Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.3408651Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3409197Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3410399Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.3411966Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.3413685Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.3415560Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.3417439Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.3419551Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.3425382Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.3435492Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.3441126Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.3442036Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.3442420Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.3448398Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.3454624Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.3455888Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.3456303Z | ^~~~~~~~ 2025-08-26T21:53:45.3456922Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.3457906Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.3458777Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.3459562Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.3460298Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.3461126Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.3462160Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.3463329Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.3464446Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.3465546Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.3466537Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.3467490Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.3468319Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3468861Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3469664Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.3470394Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.3470740Z | ^~~~ 2025-08-26T21:53:45.3471305Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.3472131Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.3472927Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.3473794Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.3474513Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.3475332Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.3476222Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.3477095Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.3478001Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.3478927Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.3479868Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.3480695Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3481232Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3482215Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.3483761Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.3485467Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.3487215Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.3489215Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.3491243Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.3497422Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.3507911Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.3514087Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.3515020Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.3515402Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.3521707Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.3528335Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.3529611Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.3530026Z | ^~~~~~~~ 2025-08-26T21:53:45.3530643Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.3531616Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.3532486Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.3533281Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.3534090Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.3534904Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.3535942Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.3537045Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.3538263Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.3539368Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.3540362Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.3541286Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.3542105Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3542655Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3543473Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.3544205Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.3544550Z | ^~~~ 2025-08-26T21:53:45.3545133Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.3545970Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.3546760Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.3547525Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.3548282Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.3549094Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.3549993Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.3550862Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.3551779Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.3552706Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.3553637Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.3554471Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3555020Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3556006Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.3557565Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.3559272Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.3561061Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.3562934Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.3564979Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.3570881Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.3580729Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.3586395Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.3587322Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.3587693Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.3593625Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.3599855Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.3601147Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.3601549Z | ^~~~~~~~ 2025-08-26T21:53:45.3602158Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.3603141Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.3604008Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.3604803Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.3605538Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.3606353Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.3607430Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.3608626Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.3609764Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.3611061Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.3612147Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.3613071Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.3613903Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3614446Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3615271Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.3615990Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.3616325Z | ^~~~ 2025-08-26T21:53:45.3616892Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.3617734Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.3618591Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.3619355Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.3620083Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.3620914Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.3621825Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.3622741Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.3623596Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.3624527Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.3625463Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.3626283Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3626825Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3627804Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.3629355Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.3631070Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.3632886Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.3634755Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.3636772Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.3642605Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.3652540Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.3658175Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.3659095Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.3659472Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.3665379Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.3671604Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.3672880Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.3673290Z | ^~~~~~~~ 2025-08-26T21:53:45.3673951Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.3674937Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.3675798Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.3676593Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.3677335Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.3678202Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.3679253Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.3680371Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.3681507Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.3682649Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.3683647Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.3684572Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.3685395Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3685930Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3686744Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.3687480Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.3687899Z | ^~~~ 2025-08-26T21:53:45.3688449Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.3689288Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.3690095Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.3690863Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.3691632Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.3692448Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.3693353Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.3694224Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.3695096Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.3696061Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.3697003Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.3697826Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3698375Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3699370Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.3700926Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.3702640Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.3704425Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.3706340Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.3708391Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.3714508Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.3724392Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.3730147Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.3731067Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.3731435Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.3737381Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.3743608Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.3744891Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.3745289Z | ^~~~~~~~ 2025-08-26T21:53:45.3768669Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.3769683Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.3770570Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.3771369Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.3772117Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.3772930Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.3774136Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.3775275Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.3776413Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.3777530Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.3778560Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.3779479Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.3780310Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3780862Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3781779Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.3782513Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.3782844Z | ^~~~ 2025-08-26T21:53:45.3783415Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.3784255Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.3785050Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.3785872Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.3786586Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.3787416Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.3788324Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.3789236Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.3790107Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.3791013Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.3791955Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.3792787Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3793331Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3794360Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.3795931Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.3797624Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.3799383Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.3801310Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.3803360Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.3809280Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.3819533Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.3825226Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.3826141Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.3826521Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.3832475Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.3838713Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.3839979Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.3840388Z | ^~~~~~~~ 2025-08-26T21:53:45.3841005Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.3842003Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.3842869Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.3843655Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.3844408Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.3845312Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.3846364Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.3847492Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.3848682Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.3849845Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.3850839Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.3851776Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.3852607Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3853155Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3853978Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.3854714Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.3855060Z | ^~~~ 2025-08-26T21:53:45.3855646Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.3856470Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.3857264Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.3858033Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.3858756Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.3859617Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.3860511Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.3861383Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.3862256Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.3863205Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.3864176Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.3865002Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3865533Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3866524Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.3868081Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.3869792Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.3871582Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.3873449Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.3875498Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.3881309Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.3891283Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.3896974Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.3897901Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.3898282Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.3904206Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.3910659Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.3911951Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.3912367Z | ^~~~~~~~ 2025-08-26T21:53:45.3912975Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.3913961Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.3914833Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.3915633Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.3916381Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.3917300Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.3918351Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.3919527Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.3920660Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.3921766Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.3922761Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.3923677Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.3924555Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3925101Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3925991Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.3926726Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.3927079Z | ^~~~ 2025-08-26T21:53:45.3927692Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.3928599Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.3929398Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.3930171Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.3930898Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.3931717Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.3932622Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.3933497Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.3934367Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.3935289Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.3936236Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.3937052Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3937596Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3938598Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.3940155Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.3941851Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.3943639Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.3945524Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.3947538Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.3953441Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.3963263Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.3969011Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.3969940Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.3970321Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.3976203Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.3982418Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.3983743Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.3984141Z | ^~~~~~~~ 2025-08-26T21:53:45.3984759Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.3985744Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.3986610Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.3987434Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.3988174Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.3988988Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.3990028Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.3991152Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.3992280Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.3993383Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.3994369Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.3995345Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.3996177Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.3996721Z from rng_extension.cpp:1: 2025-08-26T21:53:45.3997569Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.3998286Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.3998629Z | ^~~~ 2025-08-26T21:53:45.3999192Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4000033Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4000825Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4001613Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4002337Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4003166Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4004075Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4004944Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4005798Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4006730Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4007799Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4008630Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4009172Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4010344Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4011916Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4013719Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4015481Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4017352Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4019355Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4025562Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4035975Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4041906Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4042820Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4043198Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4049524Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4056017Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4057316Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4057730Z | ^~~~~~~~ 2025-08-26T21:53:45.4058347Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4059342Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4060211Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4061028Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4061779Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4062601Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4063649Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4064776Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4065909Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4066995Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4068027Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4068950Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4069789Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4070332Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4071134Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4071867Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4072208Z | ^~~~ 2025-08-26T21:53:45.4072804Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4073644Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4074429Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4075195Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4075923Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4076744Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4077644Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4078501Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4079367Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4080283Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4081228Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4082089Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4082626Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4083613Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4085164Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4086892Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4088734Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4090592Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4092603Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4098924Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4109577Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4116449Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4117380Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4117759Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4124220Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4130941Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4132207Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4132622Z | ^~~~~~~~ 2025-08-26T21:53:45.4133298Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4134291Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4135143Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4135938Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4136683Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4137512Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4138563Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4139691Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4140811Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4141913Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4142962Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4143888Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4144710Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4145247Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4146069Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4146831Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4147179Z | ^~~~ 2025-08-26T21:53:45.4147741Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4148559Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4149346Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4150114Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4150833Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4151665Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4152557Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4153468Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4154338Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4155254Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4156250Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4157061Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4157634Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4158619Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4160176Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4161870Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4163617Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4165490Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4167499Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4173852Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4184502Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4190545Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4191477Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4191856Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4198190Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4204745Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4206016Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4206469Z | ^~~~~~~~ 2025-08-26T21:53:45.4207088Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4208119Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4208992Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4209787Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4210777Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4211612Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4212670Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4213888Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4215045Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4216163Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4217164Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4218139Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4218959Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4219511Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4220345Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4221080Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4221426Z | ^~~~ 2025-08-26T21:53:45.4221979Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4222815Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4223609Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4224377Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4225101Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4225914Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4226816Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4227780Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4228648Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4229578Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4230523Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4231390Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4231937Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4232933Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4234479Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4236179Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4237929Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4239829Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4241847Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4248282Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4258933Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4264936Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4265892Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4266262Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4272583Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4279193Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4280470Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4280867Z | ^~~~~~~~ 2025-08-26T21:53:45.4281487Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4282466Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4283338Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4284131Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4284858Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4285679Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4286729Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4287979Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4289113Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4290220Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4291207Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4292164Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4292993Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4293553Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4294378Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4295095Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4295436Z | ^~~~ 2025-08-26T21:53:45.4295992Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4296831Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4297625Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4298416Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4299134Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4299953Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4300861Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4301752Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4302635Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4303553Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4304508Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4305331Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4305877Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4306849Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4308405Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4310332Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4312103Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4314066Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4316083Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4322363Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4333162Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4339144Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4340053Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4340433Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4346775Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4353373Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4354634Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4355044Z | ^~~~~~~~ 2025-08-26T21:53:45.4355655Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4356641Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4357513Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4358328Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4359074Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4359900Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4360940Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4362066Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4363223Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4364312Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4365307Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4366234Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4367068Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4367689Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4368524Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4369257Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4369599Z | ^~~~ 2025-08-26T21:53:45.4370166Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4371001Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4371774Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4372594Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4373320Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4374145Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4375049Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4375943Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4376820Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4377739Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4378689Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4379518Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4380049Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4381048Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4382612Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4384361Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4386116Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4388013Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4390026Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4396250Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4406817Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4413185Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4414113Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4414497Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4420942Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4427465Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4428743Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4429151Z | ^~~~~~~~ 2025-08-26T21:53:45.4429767Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4430752Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4431611Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4432470Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4433222Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4434043Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4435088Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4436258Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4437381Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4438483Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4439469Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4440387Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4441213Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4441744Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4442560Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4443353Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4443691Z | ^~~~ 2025-08-26T21:53:45.4444253Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4445070Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4445859Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4446628Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4447394Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4448315Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4449214Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4450095Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4450970Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4451884Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4452822Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4453636Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4454178Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4455167Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4456784Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4458490Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4460239Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4462100Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4464161Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4470404Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4481020Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4487004Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4488013Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4488389Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4495156Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4501736Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4503055Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4503465Z | ^~~~~~~~ 2025-08-26T21:53:45.4504073Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4505049Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4505917Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4506712Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4507491Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4508317Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4509366Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4510753Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4511895Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4512993Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4513993Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4514916Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4515733Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4516284Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4517120Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4517955Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4518304Z | ^~~~ 2025-08-26T21:53:45.4518858Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4519699Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4520502Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4521313Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4522047Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4522858Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4523771Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4524644Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4525518Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4526445Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4527381Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4528328Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4528877Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4529880Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4531438Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4533202Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4534960Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4536834Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4538839Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4545143Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4555730Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4561723Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4562649Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4563022Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4569441Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4575977Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4577281Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4577696Z | ^~~~~~~~ 2025-08-26T21:53:45.4578297Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4579284Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4580157Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4580953Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4581728Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4582534Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4583573Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4584702Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4585829Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4586928Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4587923Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4588864Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4589697Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4590239Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4591050Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4591785Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4592117Z | ^~~~ 2025-08-26T21:53:45.4592716Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4593556Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4594348Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4595110Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4595820Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4596638Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4597541Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4598412Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4599280Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4600192Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4601134Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4601991Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4602531Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4603507Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4605058Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4606782Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4608612Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4610678Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4612714Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4619054Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4629738Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4635713Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4636637Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4637001Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4643424Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4650089Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4651375Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4651779Z | ^~~~~~~~ 2025-08-26T21:53:45.4652479Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4653466Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4654339Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4655126Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4655867Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4656723Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4657763Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4658927Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4660054Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4661159Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4662189Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4663117Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4663949Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4664498Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4665315Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4666066Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4666417Z | ^~~~ 2025-08-26T21:53:45.4666983Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4667824Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4668620Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4669374Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4670101Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4670928Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4671833Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4672745Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4673598Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4674519Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4675461Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4676280Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4676854Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4677820Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4679369Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4681071Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4682806Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4684674Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4686685Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4692662Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4702473Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4708170Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4709096Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4709484Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4715745Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4722057Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4723333Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4723743Z | ^~~~~~~~ 2025-08-26T21:53:45.4724357Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4725338Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4726239Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4727033Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4727889Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4728712Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4729758Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4730876Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4732010Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4733171Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4734160Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4735093Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4735924Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4736457Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4737324Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4738059Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4738405Z | ^~~~ 2025-08-26T21:53:45.4738956Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4739791Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4740135Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4740441Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4740742Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4741149Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4741518Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4741902Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4742269Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4742737Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4743131Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4743450Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4743564Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4744327Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4745218Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4746138Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4747050Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4748096Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4749165Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4754523Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4760470Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4761289Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4761488Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4761598Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4767707Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4769055Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4769263Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4769352Z | ^~~~~~~~ 2025-08-26T21:53:45.4769826Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4770234Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4770582Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4770910Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4771207Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4771615Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4772121Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4772627Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4773141Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4773642Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4774049Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4774461Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4774767Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4774906Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4775501Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4775635Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4775739Z | ^~~~ 2025-08-26T21:53:45.4776116Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4776444Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4776788Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4777099Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4777401Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4777804Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4778224Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4778594Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4778974Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4779391Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4779811Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4780127Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4780241Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4781006Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4781856Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4782781Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4783687Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4784757Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4785875Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4791178Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4797251Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4798081Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4798250Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4798368Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4804519Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4805783Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4806020Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4806122Z | ^~~~~~~~ 2025-08-26T21:53:45.4806586Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4806992Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4807342Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4807753Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4808051Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4808464Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4809034Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4809529Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4810233Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4810723Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4811208Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4811617Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4811929Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4812055Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4812650Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4812788Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4812896Z | ^~~~ 2025-08-26T21:53:45.4813275Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4813626Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4813959Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4814286Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4814572Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4815031Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4815417Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4815788Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4816171Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4816594Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4817046Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4817349Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4817461Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4818232Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4819078Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4820006Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4820958Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4822001Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4823094Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4828423Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4834403Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4835244Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4835399Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4835509Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4841641Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4842931Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4843134Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4843232Z | ^~~~~~~~ 2025-08-26T21:53:45.4843684Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4844106Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4844439Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4844786Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4845076Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4845515Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4846041Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4846537Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4847065Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4847622Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4848048Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4848444Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4848753Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4848880Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4849470Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4849621Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4849714Z | ^~~~ 2025-08-26T21:53:45.4850095Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4850482Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4850817Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4851136Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4851423Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4851837Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4852235Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4852607Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4852996Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4853415Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4853821Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4854124Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4854248Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4855002Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4855861Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4856782Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4857720Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4858746Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4859828Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4864731Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4870274Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4871088Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4871241Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4871364Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4876995Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4878293Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4878498Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4878596Z | ^~~~~~~~ 2025-08-26T21:53:45.4879050Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4879472Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4879807Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4880151Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4880464Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4880873Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4881396Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4881887Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4882440Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4882904Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4883323Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4883715Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4884020Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4884142Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4884721Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4884867Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4884958Z | ^~~~ 2025-08-26T21:53:45.4885335Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:53:45.4885681Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:53:45.4886014Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:53:45.4886359Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:53:45.4886647Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:53:45.4887063Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:53:45.4887435Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:53:45.4887877Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:53:45.4888294Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:53:45.4888714Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:53:45.4889123Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:53:45.4889424Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4889549Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4890306Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:53:45.4891166Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:53:45.4892119Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:53:45.4893042Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:53:45.4894070Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:53:45.4895180Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:53:45.4900438Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:53:45.4906377Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:53:45.4907215Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:53:45.4907370Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:53:45.4907498Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:45.4913857Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:53:45.4915182Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:53:45.4915398Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:53:45.4915485Z | ^~~~~~~~ 2025-08-26T21:53:45.4915946Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:53:45.4916369Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:53:45.4916708Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:53:45.4917055Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:53:45.4917395Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:53:45.4917818Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:53:45.4918325Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:53:45.4918819Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:53:45.4919393Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:53:45.4919853Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:53:45.4920296Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:53:45.4920686Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:53:45.4921004Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:53:45.4921114Z from rng_extension.cpp:1: 2025-08-26T21:53:45.4921697Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:53:45.4921842Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:53:45.4921964Z | ^~~~ 2025-08-26T21:53:45.4923908Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -shared build/temp.linux-x86_64-cpython-39/rng_extension.o -L/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/rng.cpython-39-x86_64-linux-gnu.so 2025-08-26T21:53:46.0626738Z running install_lib 2025-08-26T21:53:46.0715528Z copying build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/cpp.cpython-39-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension 2025-08-26T21:53:46.0796271Z copying build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/maia.cpython-39-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension 2025-08-26T21:53:46.0878386Z copying build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/rng.cpython-39-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension 2025-08-26T21:53:46.0967964Z running install_egg_info 2025-08-26T21:53:46.1148162Z running egg_info 2025-08-26T21:53:46.1224464Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-26T21:53:46.1229529Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-26T21:53:46.1242019Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-26T21:53:46.1254678Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-26T21:53:46.1342969Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:53:46.1354160Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:53:46.1365562Z removing './install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension-0.0.0-py3.9.egg-info' (and everything under it) 2025-08-26T21:53:46.1367325Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension-0.0.0-py3.9.egg-info 2025-08-26T21:53:46.1375020Z running install_scripts 2025-08-26T21:53:49.9346534Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:53:49.9348219Z import pkg_resources 2025-08-26T21:53:49.9784849Z 2025-08-26T21:53:49.9785038Z Running tests... 2025-08-26T21:53:49.9785376Z ---------------------------------------------------------------------- 2025-08-26T21:53:51.6739997Z . 2025-08-26T21:53:51.6740383Z ---------------------------------------------------------------------- 2025-08-26T21:53:51.6740871Z Ran 1 test in 1.695s 2025-08-26T21:53:51.6741033Z 2025-08-26T21:53:51.6741117Z OK 2025-08-26T21:53:51.6741242Z 2025-08-26T21:53:51.6741354Z Generating XML reports... 2025-08-26T21:53:52.7312414Z Running test_autoload_enable 1/1 ... [2025-08-26 21:53:52.730653] 2025-08-26T21:53:55.6715022Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:53:55.6716581Z import pkg_resources 2025-08-26T21:53:55.7470552Z running install 2025-08-26T21:53:55.7473006Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:53:55.7473836Z !! 2025-08-26T21:53:55.7474659Z 2025-08-26T21:53:55.7474807Z ******************************************************************************** 2025-08-26T21:53:55.7475205Z Please avoid running ``setup.py`` directly. 2025-08-26T21:53:55.7475605Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:53:55.7475990Z standards-based tools. 2025-08-26T21:53:55.7476204Z 2025-08-26T21:53:55.7476435Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:53:55.7476926Z or your builds will no longer be supported. 2025-08-26T21:53:55.7477170Z 2025-08-26T21:53:55.7477478Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:53:55.7478086Z ******************************************************************************** 2025-08-26T21:53:55.7478347Z 2025-08-26T21:53:55.7478432Z !! 2025-08-26T21:53:55.7478665Z self.initialize_options() 2025-08-26T21:53:55.7598807Z running build 2025-08-26T21:53:55.7599099Z running build_py 2025-08-26T21:53:55.7678507Z creating build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension 2025-08-26T21:53:55.7680549Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension 2025-08-26T21:53:55.7684819Z running build_ext 2025-08-26T21:53:55.7701939Z building 'torch_test_cpp_extension.cpp' extension 2025-08-26T21:53:55.7703280Z creating build/temp.linux-x86_64-cpython-39 2025-08-26T21:53:55.7707933Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.9/include/python3.9 -c extension.cpp -o build/temp.linux-x86_64-cpython-39/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-26T21:53:57.1283461Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-08-26T21:53:57.1284542Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-08-26T21:53:57.1285679Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:9, 2025-08-26T21:53:57.1286296Z from extension.cpp:1: 2025-08-26T21:53:57.1287731Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-08-26T21:53:57.1288660Z extension.cpp:45:53: required from here 2025-08-26T21:53:57.1290245Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/pybind11/pybind11.h:2041:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-08-26T21:53:57.1291684Z 2041 | class class_ : public detail::generic_type { 2025-08-26T21:53:57.1292095Z | ^~~~~~ 2025-08-26T21:53:57.1294010Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-08-26T21:53:57.1295568Z extension.cpp:45:53: required from here 2025-08-26T21:53:57.1297906Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/pybind11/pybind11.h:2139:28: warning: ‘pybind11::class_::class_<>(pybind11::handle, const char*)::’ declared with greater visibility than the type of its field ‘pybind11::class_::class_<>(pybind11::handle, const char*)::::’ [-Wattributes] 2025-08-26T21:53:57.1299954Z 2139 | with_internals([&](internals &internals) { 2025-08-26T21:53:57.1300351Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:57.1300882Z 2140 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-08-26T21:53:57.1301475Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:57.1301937Z 2141 | : internals.registered_types_cpp; 2025-08-26T21:53:57.1302350Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:57.1302841Z 2142 | instances[std::type_index(typeid(type_alias))] 2025-08-26T21:53:57.1303253Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:57.1303658Z 2143 | = instances[std::type_index(typeid(type))]; 2025-08-26T21:53:57.1304062Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:53:57.1304381Z 2144 | }); 2025-08-26T21:53:57.1304645Z | ~ 2025-08-26T21:53:57.1306772Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -shared build/temp.linux-x86_64-cpython-39/extension.o -L/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/cpp.cpython-39-x86_64-linux-gnu.so 2025-08-26T21:53:57.8785569Z building 'torch_test_cpp_extension.maia' extension 2025-08-26T21:53:57.8791361Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.9/include/python3.9 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-39/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-26T21:53:59.1346138Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -shared build/temp.linux-x86_64-cpython-39/maia_extension.o -L/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/maia.cpython-39-x86_64-linux-gnu.so 2025-08-26T21:53:59.8596878Z building 'torch_test_cpp_extension.rng' extension 2025-08-26T21:53:59.8602614Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.9/include/python3.9 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-39/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-26T21:54:01.9629267Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:54:01.9630672Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:54:01.9632363Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:54:01.9634674Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:54:01.9636011Z from rng_extension.cpp:6: 2025-08-26T21:54:01.9638284Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1478: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:54:01.9639876Z 1478 | #pragma unroll 2025-08-26T21:54:01.9640217Z | 2025-08-26T21:54:01.9641076Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-08-26T21:54:01.9642786Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530, 2025-08-26T21:54:01.9644169Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:54:01.9645536Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:54:01.9646794Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:54:01.9648394Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:54:01.9649542Z from rng_extension.cpp:6: 2025-08-26T21:54:01.9651196Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:54:01.9652471Z 59 | #pragma unroll 2025-08-26T21:54:01.9652870Z | 2025-08-26T21:54:01.9654113Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:54:01.9655356Z 72 | #pragma unroll 2025-08-26T21:54:01.9655680Z | 2025-08-26T21:54:01.9656586Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:54:01.9657371Z 87 | #pragma unroll 2025-08-26T21:54:01.9657616Z | 2025-08-26T21:54:01.9658136Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531, 2025-08-26T21:54:01.9659168Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:54:01.9659990Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:54:01.9660769Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:54:01.9661673Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:54:01.9662399Z from rng_extension.cpp:6: 2025-08-26T21:54:01.9663370Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:54:01.9664183Z 160 | #pragma unroll 2025-08-26T21:54:01.9664431Z | 2025-08-26T21:54:01.9664936Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:01.9665768Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:01.9666570Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:01.9667343Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:01.9668076Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:01.9668904Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:01.9670040Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:01.9670930Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:01.9671803Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:01.9672728Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:01.9673722Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:01.9674543Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:01.9675103Z from rng_extension.cpp:1: 2025-08-26T21:54:01.9676172Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:01.9677752Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:01.9679472Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:01.9681235Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:01.9683106Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:01.9685191Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:01.9691576Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:01.9702232Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:01.9708252Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:01.9709186Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:01.9709577Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:01.9716290Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:01.9722872Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:01.9724248Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:01.9724665Z | ^~~~~~~~ 2025-08-26T21:54:01.9725287Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:01.9726264Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:01.9727145Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:01.9728022Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:01.9728774Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:01.9729611Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:01.9730726Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:01.9731847Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:01.9732983Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:01.9734089Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:01.9735139Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:01.9736082Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:01.9736901Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:01.9737449Z from rng_extension.cpp:1: 2025-08-26T21:54:01.9738284Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:01.9739019Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:01.9739368Z | ^~~~ 2025-08-26T21:54:01.9739923Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:01.9740766Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:01.9741570Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:01.9742354Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:01.9743078Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:01.9743933Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:01.9744842Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:01.9745719Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:01.9746596Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:01.9747517Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:01.9748490Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:01.9749318Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:01.9749862Z from rng_extension.cpp:1: 2025-08-26T21:54:01.9750854Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:01.9752405Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:01.9754119Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:01.9755924Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:01.9757797Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:01.9759812Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:01.9765675Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:01.9775579Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:01.9781245Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:01.9782177Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:01.9782546Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:01.9788442Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:01.9794728Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:01.9796010Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:01.9796426Z | ^~~~~~~~ 2025-08-26T21:54:01.9797039Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:01.9798031Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:01.9798908Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:01.9799709Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:01.9800450Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:01.9801280Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:01.9802332Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:01.9803498Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:01.9804631Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:01.9805737Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:01.9806721Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:01.9807763Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:01.9808602Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:01.9809159Z from rng_extension.cpp:1: 2025-08-26T21:54:01.9809991Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:01.9810944Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:01.9811304Z | ^~~~ 2025-08-26T21:54:01.9811874Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:01.9812723Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:01.9813518Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:01.9814279Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:01.9815127Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:01.9815957Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:01.9816874Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:01.9817758Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:01.9818676Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:01.9819607Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:01.9820560Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:01.9821386Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:01.9821975Z from rng_extension.cpp:1: 2025-08-26T21:54:01.9822979Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:01.9824531Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:01.9826229Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:01.9827972Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:01.9829913Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:01.9831953Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:01.9838148Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:01.9848694Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:01.9854715Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:01.9855628Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:01.9856004Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:01.9862254Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:01.9868774Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:01.9870082Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:01.9870498Z | ^~~~~~~~ 2025-08-26T21:54:01.9871111Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:01.9872099Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:01.9873008Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:01.9873796Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:01.9874545Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:01.9875371Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:01.9876422Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:01.9877551Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:01.9878727Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:01.9879824Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:01.9880821Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:01.9881748Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:01.9882580Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:01.9883127Z from rng_extension.cpp:1: 2025-08-26T21:54:01.9883931Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:01.9884669Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:01.9885016Z | ^~~~ 2025-08-26T21:54:01.9885584Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:01.9886409Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:01.9887248Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:01.9888119Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:01.9888889Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:01.9889718Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:01.9890627Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:01.9891492Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:01.9892412Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:01.9893373Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:01.9894313Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:01.9895156Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:01.9895691Z from rng_extension.cpp:1: 2025-08-26T21:54:01.9896680Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:01.9898277Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:01.9899986Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:01.9901732Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:01.9903600Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:01.9905622Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:01.9912054Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:01.9922508Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:01.9928526Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:01.9929460Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:01.9929846Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:01.9936120Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:01.9942637Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:01.9943924Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:01.9944346Z | ^~~~~~~~ 2025-08-26T21:54:01.9944956Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:01.9945949Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:01.9946855Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:01.9947660Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:01.9948404Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:01.9949223Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:01.9950262Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:01.9951393Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:01.9952526Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:01.9953632Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:01.9954664Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:01.9955580Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:01.9956412Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:01.9956961Z from rng_extension.cpp:1: 2025-08-26T21:54:01.9957777Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:01.9958545Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:01.9958881Z | ^~~~ 2025-08-26T21:54:01.9959448Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:01.9960295Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:01.9961087Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:01.9961865Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:01.9962580Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:01.9963403Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:01.9964316Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:01.9965196Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:01.9966067Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:01.9966978Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:01.9968056Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:01.9968889Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:01.9969437Z from rng_extension.cpp:1: 2025-08-26T21:54:01.9970440Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:01.9971994Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:01.9973730Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:01.9975486Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:01.9977360Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:01.9979378Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:01.9985272Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:01.9995130Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.0000772Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.0001685Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.0002068Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.0008024Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.0014531Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.0015802Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.0016221Z | ^~~~~~~~ 2025-08-26T21:54:02.0016830Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.0017930Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.0018806Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.0019597Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.0020346Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.0021173Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.0022220Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.0023350Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.0024473Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.0025577Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.0026601Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.0027575Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.0028408Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0028958Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0029758Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.0030497Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.0030842Z | ^~~~ 2025-08-26T21:54:02.0031410Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.0032287Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.0033088Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.0033869Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.0034594Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.0035421Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.0036320Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.0037197Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.0038146Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.0039068Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.0040020Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.0040852Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0041387Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0042425Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.0043994Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.0045700Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.0047452Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.0049418Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.0051441Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.0057646Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.0068077Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.0074008Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.0074975Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.0075367Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.0081558Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.0088153Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.0089440Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.0089854Z | ^~~~~~~~ 2025-08-26T21:54:02.0090478Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.0091486Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.0092404Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.0093206Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.0093953Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.0094767Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.0095814Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.0096926Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.0098059Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.0099214Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.0100216Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.0101145Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.0101963Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0102511Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0103365Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.0104107Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.0104459Z | ^~~~ 2025-08-26T21:54:02.0105012Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.0105852Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.0106651Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.0107420Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.0108147Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.0108963Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.0109877Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.0110993Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.0111868Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.0112892Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.0113832Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.0114667Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0115226Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0116238Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.0117863Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.0119572Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.0121353Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.0123221Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.0125234Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.0131267Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.0141143Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.0146778Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.0147704Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.0148121Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.0154006Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.0160238Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.0161508Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.0161909Z | ^~~~~~~~ 2025-08-26T21:54:02.0162568Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.0163556Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.0164429Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.0165223Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.0165962Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.0166785Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.0167910Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.0169045Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.0170179Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.0171282Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.0172308Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.0173237Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.0174067Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0174623Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0175453Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.0176208Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.0176556Z | ^~~~ 2025-08-26T21:54:02.0177129Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.0177966Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.0178770Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.0179524Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.0180252Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.0181081Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.0181990Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.0182918Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.0183776Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.0184700Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.0185653Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.0186486Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0187071Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0188045Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.0189611Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.0191327Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.0193081Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.0194958Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.0196981Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.0202809Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.0212899Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.0218644Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.0219629Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.0220019Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.0225896Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.0232156Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.0233434Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.0233849Z | ^~~~~~~~ 2025-08-26T21:54:02.0234467Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.0235451Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.0236351Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.0237151Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.0237896Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.0238721Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.0239766Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.0240924Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.0242057Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.0243197Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.0244192Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.0245117Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.0245947Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0246481Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0247327Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.0248137Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.0248487Z | ^~~~ 2025-08-26T21:54:02.0249044Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.0249884Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.0250680Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.0251456Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.0252181Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.0252999Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.0253910Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.0254789Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.0255662Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.0256642Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.0257590Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.0258403Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0258955Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0259951Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.0261536Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.0263247Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.0264996Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.0266868Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.0268877Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.0274745Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.0284550Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.0290256Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.0291192Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.0291576Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.0297496Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.0303741Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.0305012Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.0305416Z | ^~~~~~~~ 2025-08-26T21:54:02.0306032Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.0307049Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.0307927Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.0308725Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.0309459Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.0310497Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.0311548Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.0312679Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.0313814Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.0314930Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.0315912Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.0316938Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.0317773Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0318321Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0319150Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.0319908Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.0320302Z | ^~~~ 2025-08-26T21:54:02.0320869Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.0321709Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.0322511Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.0323272Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.0324000Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.0324829Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.0325741Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.0326621Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.0327535Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.0328533Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.0329503Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.0330337Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0330888Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0331925Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.0333493Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.0335208Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.0336962Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.0338835Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.0340851Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.0346758Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.0356549Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.0362205Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.0363178Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.0363559Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.0369510Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.0375762Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.0377042Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.0377456Z | ^~~~~~~~ 2025-08-26T21:54:02.0378069Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.0379054Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.0379954Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.0380757Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.0381501Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.0382337Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.0383384Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.0384504Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.0385639Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.0386744Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.0387780Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.0388713Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.0389543Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0390077Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0390898Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.0391672Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.0392021Z | ^~~~ 2025-08-26T21:54:02.0392581Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.0393430Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.0394222Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.0394998Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.0395727Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.0396543Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.0397457Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.0398332Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.0399206Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.0400127Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.0401109Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.0401925Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0402469Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0403449Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.0405032Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.0406733Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.0408569Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.0410789Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.0412833Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.0418780Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.0428599Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.0434201Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.0435132Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.0435517Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.0441412Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.0447760Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.0449037Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.0449453Z | ^~~~~~~~ 2025-08-26T21:54:02.0450058Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.0451081Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.0451960Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.0452774Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.0453518Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.0454336Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.0455383Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.0456515Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.0457652Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.0458758Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.0459740Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.0460704Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.0461536Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0462093Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0462924Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.0463652Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.0464003Z | ^~~~ 2025-08-26T21:54:02.0464608Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.0465448Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.0466243Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.0467006Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.0467738Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.0468562Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.0469477Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.0470358Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.0471272Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.0472202Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.0473158Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.0473986Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0474539Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0475559Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.0477125Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.0478824Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.0480763Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.0482626Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.0484637Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.0490594Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.0500364Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.0506051Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.0506964Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.0507393Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.0513498Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.0519797Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.0521083Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.0521496Z | ^~~~~~~~ 2025-08-26T21:54:02.0522117Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.0523110Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.0523966Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.0524813Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.0525556Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.0526384Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.0527430Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.0528693Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.0529822Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.0530934Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.0531984Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.0532912Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.0533747Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0534286Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0535112Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.0535890Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.0536240Z | ^~~~ 2025-08-26T21:54:02.0536806Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.0537635Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.0538424Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.0539198Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.0539923Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.0540742Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.0541632Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.0542504Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.0543382Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.0544297Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.0545273Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.0546094Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0546642Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0547634Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.0549187Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.0550933Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.0552688Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.0554547Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.0556562Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.0562819Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.0573312Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.0579226Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.0580155Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.0580543Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.0586813Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.0593332Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.0594608Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.0595025Z | ^~~~~~~~ 2025-08-26T21:54:02.0595677Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.0596652Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.0597533Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.0598328Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.0599076Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.0599901Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.0600936Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.0602075Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.0603215Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.0604359Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.0605394Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.0606322Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.0607136Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0607757Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0608589Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.0609369Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.0609720Z | ^~~~ 2025-08-26T21:54:02.0610470Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.0611313Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.0612114Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.0612885Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.0613607Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.0614437Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.0615361Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.0616323Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.0617197Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.0618126Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.0619061Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.0619893Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0620483Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0621486Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.0623051Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.0624752Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.0626496Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.0628352Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.0645601Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.0652189Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.0662866Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.0668900Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.0669846Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.0670233Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.0676627Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.0683213Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.0684496Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.0684953Z | ^~~~~~~~ 2025-08-26T21:54:02.0685579Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.0686563Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.0687429Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.0688360Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.0689106Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.0689941Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.0690992Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.0692155Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.0693295Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.0694400Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.0695399Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.0696386Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.0697219Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0697758Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0698592Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.0699322Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.0699671Z | ^~~~ 2025-08-26T21:54:02.0700227Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.0701068Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.0701871Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.0702647Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.0703382Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.0704202Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.0705116Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.0706034Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.0706951Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.0707875Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.0708829Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.0709677Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0710400Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0711406Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.0712974Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.0714682Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.0716434Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.0718397Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.0720414Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.0726749Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.0737500Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.0743519Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.0744461Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.0744844Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.0751241Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.0757846Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.0759135Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.0759553Z | ^~~~~~~~ 2025-08-26T21:54:02.0760180Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.0761157Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.0762040Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.0762847Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.0763600Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.0764433Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.0765471Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.0766644Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.0767854Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.0768976Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.0769978Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.0770943Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.0771765Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0772315Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0773143Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.0773883Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.0774222Z | ^~~~ 2025-08-26T21:54:02.0774844Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.0775694Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.0776497Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.0777312Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.0778032Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.0778868Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.0779783Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.0780663Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.0781571Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.0782505Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.0783444Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.0784278Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0784831Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0785825Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.0787390Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.0789095Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.0790839Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.0792754Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.0794772Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.0801056Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.0812119Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.0818117Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.0819076Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.0819464Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.0825823Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.0832413Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.0833703Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.0834125Z | ^~~~~~~~ 2025-08-26T21:54:02.0834733Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.0835725Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.0836611Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.0837464Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.0838208Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.0839036Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.0840067Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.0841198Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.0842370Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.0843477Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.0844478Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.0845410Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.0846228Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0846778Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0847662Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.0848403Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.0848750Z | ^~~~ 2025-08-26T21:54:02.0849312Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.0850158Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.0850954Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.0851768Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.0852498Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.0853313Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.0854221Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.0855128Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.0856008Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.0856926Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.0857862Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.0858692Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0859241Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0860244Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.0861797Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.0863536Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.0865295Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.0867187Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.0869191Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.0875483Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.0886037Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.0892132Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.0893060Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.0893446Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.0899818Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.0906404Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.0907694Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.0908109Z | ^~~~~~~~ 2025-08-26T21:54:02.0908714Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.0909706Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.0910735Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.0911618Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.0912371Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.0913185Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.0914233Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.0915431Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.0916566Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.0917681Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.0918675Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.0919591Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.0920425Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0920976Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0921801Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.0922594Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.0922987Z | ^~~~ 2025-08-26T21:54:02.0923557Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.0924402Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.0925197Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.0925973Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.0926734Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.0927631Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.0928558Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.0929436Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.0930311Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.0931217Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.0932166Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.0932996Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0933544Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0934533Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.0936084Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.0937809Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.0939565Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.0941424Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.0943493Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.0949706Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.0960345Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.0966326Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.0967255Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.0967694Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.0974057Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.0980652Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.0981980Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.0982387Z | ^~~~~~~~ 2025-08-26T21:54:02.0983010Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.0983996Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.0984874Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.0985668Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.0986437Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.0987265Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.0988314Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.0989440Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.0990574Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.0991736Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.0992723Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.0993651Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.0994485Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.0995035Z from rng_extension.cpp:1: 2025-08-26T21:54:02.0995858Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.0996630Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.0996979Z | ^~~~ 2025-08-26T21:54:02.0997546Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.0998385Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.0999187Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.0999982Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.1000714Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.1001543Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.1002453Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.1003320Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.1004177Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.1005104Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.1006049Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.1006920Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1007464Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1008538Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.1010289Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.1012126Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.1013890Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.1015767Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.1017787Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.1024125Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.1034707Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.1040780Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.1041706Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.1042094Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.1048558Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.1055106Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.1056393Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.1056848Z | ^~~~~~~~ 2025-08-26T21:54:02.1057454Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.1058442Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.1059312Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.1060114Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.1060891Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.1061702Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.1062749Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.1063871Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.1065004Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.1066111Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.1067108Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.1068057Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.1068887Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1069439Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1070252Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.1070982Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.1071314Z | ^~~~ 2025-08-26T21:54:02.1071913Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.1072754Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.1073550Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.1074315Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.1075031Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.1075854Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.1076763Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.1077640Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.1078509Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.1079424Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.1080376Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.1081242Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1081795Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1082787Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.1084330Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.1086071Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.1087906Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.1089784Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.1091791Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.1098103Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.1108716Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.1114923Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.1115861Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.1116235Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.1122637Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.1129329Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.1130614Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.1131022Z | ^~~~~~~~ 2025-08-26T21:54:02.1131710Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.1132696Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.1133576Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.1134372Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.1135107Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.1135932Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.1136977Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.1138105Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.1139242Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.1140346Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.1141376Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.1142306Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.1143156Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1143705Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1144514Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.1145301Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.1145649Z | ^~~~ 2025-08-26T21:54:02.1146222Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.1147049Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.1147853Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.1148627Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.1149360Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.1150191Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.1151087Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.1152000Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.1152886Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.1153805Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.1154751Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.1155590Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1156160Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1157147Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.1158702Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.1160411Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.1162162Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.1164038Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.1166055Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.1172438Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.1183100Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.1189127Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.1190062Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.1190443Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.1196791Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.1203331Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.1204609Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.1205063Z | ^~~~~~~~ 2025-08-26T21:54:02.1205681Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.1206663Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.1207531Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.1208402Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.1209147Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.1209975Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.1211215Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.1212427Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.1213570Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.1214680Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.1215685Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.1216661Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.1217494Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1218028Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1218861Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.1219601Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.1219946Z | ^~~~ 2025-08-26T21:54:02.1220499Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.1221344Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.1222144Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.1222915Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.1223637Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.1224449Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.1225357Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.1226282Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.1227156Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.1228070Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.1229014Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.1229875Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1230426Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1231418Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.1232973Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.1234675Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.1236425Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.1238289Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.1240365Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.1246215Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.1256141Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.1261777Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.1262712Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.1263095Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.1268964Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.1275236Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.1276521Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.1276927Z | ^~~~~~~~ 2025-08-26T21:54:02.1277544Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.1278537Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.1279413Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.1280211Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.1280947Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.1281776Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.1282824Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.1283956Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.1285094Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.1286244Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.1287235Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.1288239Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.1289077Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1289666Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1290496Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.1291220Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.1291572Z | ^~~~ 2025-08-26T21:54:02.1292148Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.1293004Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.1293339Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.1293668Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.1293960Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.1294373Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.1294801Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.1295174Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.1295559Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.1295986Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.1296425Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.1296737Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1296853Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1297626Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.1298479Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.1299413Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.1300326Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.1301409Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.1302531Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.1307813Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.1314034Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.1314864Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.1315017Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.1315151Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.1321283Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.1322603Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.1322861Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.1322961Z | ^~~~~~~~ 2025-08-26T21:54:02.1323423Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.1323846Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.1324182Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.1324553Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.1324839Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.1325251Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.1325777Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.1326273Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.1326801Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.1327260Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.1327767Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.1328166Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.1328475Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1328604Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1329238Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.1329391Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.1329484Z | ^~~~ 2025-08-26T21:54:02.1329878Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.1330216Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.1330548Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.1330903Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.1331193Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.1331615Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.1331987Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.1332370Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.1332743Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.1333163Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.1333605Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.1333912Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1334041Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1334799Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.1335660Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.1336605Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.1337536Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.1338577Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.1339704Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.1345030Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.1351003Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.1351857Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.1352011Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.1352137Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.1358257Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.1359534Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.1359784Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.1359875Z | ^~~~~~~~ 2025-08-26T21:54:02.1360332Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.1360754Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.1361091Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.1361467Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.1361757Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.1362180Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.1362687Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.1363190Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.1363709Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.1364174Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.1364627Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.1365021Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.1365341Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1365454Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1366053Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.1366188Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.1366311Z | ^~~~ 2025-08-26T21:54:02.1366700Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.1367041Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.1367384Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.1367780Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.1368070Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.1368484Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.1368859Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.1369244Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.1369620Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.1370057Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.1370502Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.1370810Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1370939Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1371703Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.1372566Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.1373523Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.1374446Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.1375477Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.1376560Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.1381926Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.1387866Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.1388691Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.1388856Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.1389007Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.1395131Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.1396416Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.1396632Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.1396753Z | ^~~~~~~~ 2025-08-26T21:54:02.1397224Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.1397637Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.1397990Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.1398326Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.1398612Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.1399037Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.1399552Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.1400062Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.1400586Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.1401063Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.1401502Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.1401901Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.1402224Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1402343Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1402942Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.1403113Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.1403223Z | ^~~~ 2025-08-26T21:54:02.1403601Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.1403939Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.1404287Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.1404594Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.1404895Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.1405301Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.1405690Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.1406094Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.1406466Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.1406898Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.1407294Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.1407725Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1407841Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1408622Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.1409490Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.1410647Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.1411565Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.1412623Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.1413705Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.1418672Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.1424223Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.1425148Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.1425360Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.1425479Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.1431115Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.1432398Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.1432621Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.1432713Z | ^~~~~~~~ 2025-08-26T21:54:02.1433189Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.1433631Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.1433987Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.1434321Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.1434612Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.1435039Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.1435552Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.1436063Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.1436633Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.1437141Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.1437546Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.1437943Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.1438264Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1438406Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1439010Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.1439148Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.1439261Z | ^~~~ 2025-08-26T21:54:02.1439640Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:54:02.1439987Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:54:02.1440329Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:54:02.1440637Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:54:02.1440937Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:54:02.1441345Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:54:02.1441735Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:54:02.1442109Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:54:02.1442505Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:54:02.1442938Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:54:02.1443331Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:54:02.1443647Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1443758Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1444556Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:54:02.1445411Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:54:02.1446341Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:54:02.1447248Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:54:02.1448386Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:54:02.1449508Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:54:02.1454819Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:54:02.1460806Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:54:02.1461636Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:54:02.1461806Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:54:02.1461920Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:54:02.1467993Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-26T21:54:02.1469321Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-26T21:54:02.1469532Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:54:02.1469625Z | ^~~~~~~~ 2025-08-26T21:54:02.1470094Z In file included from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:54:02.1470506Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:54:02.1470861Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:54:02.1471193Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:54:02.1471492Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:54:02.1471903Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:54:02.1472415Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:54:02.1472925Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:54:02.1473469Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:54:02.1473947Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:54:02.1474355Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:54:02.1474763Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:54:02.1475099Z from /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:54:02.1475228Z from rng_extension.cpp:1: 2025-08-26T21:54:02.1475810Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:54:02.1475949Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:54:02.1476056Z | ^~~~ 2025-08-26T21:54:02.1477976Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -shared build/temp.linux-x86_64-cpython-39/rng_extension.o -L/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/rng.cpython-39-x86_64-linux-gnu.so 2025-08-26T21:54:02.7364298Z running install_lib 2025-08-26T21:54:02.7452051Z copying build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/cpp.cpython-39-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension 2025-08-26T21:54:02.7529053Z copying build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/maia.cpython-39-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension 2025-08-26T21:54:02.7607109Z copying build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/rng.cpython-39-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension 2025-08-26T21:54:02.7692547Z running install_egg_info 2025-08-26T21:54:02.7869424Z running egg_info 2025-08-26T21:54:02.7945530Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-26T21:54:02.7950606Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-26T21:54:02.7953237Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-26T21:54:02.7956464Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-26T21:54:02.8031200Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:54:02.8041934Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:54:02.8044225Z removing './install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension-0.0.0-py3.9.egg-info' (and everything under it) 2025-08-26T21:54:02.8046084Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension-0.0.0-py3.9.egg-info 2025-08-26T21:54:02.8052677Z running install_scripts 2025-08-26T21:54:06.6278476Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:54:06.6281291Z import pkg_resources 2025-08-26T21:54:06.6657472Z 2025-08-26T21:54:06.6658005Z Running tests... 2025-08-26T21:54:06.6658384Z ---------------------------------------------------------------------- 2025-08-26T21:54:08.1713258Z . 2025-08-26T21:54:08.1713635Z ---------------------------------------------------------------------- 2025-08-26T21:54:08.1714616Z Ran 1 test in 1.506s 2025-08-26T21:54:08.1714797Z 2025-08-26T21:54:08.1714878Z OK 2025-08-26T21:54:08.1715004Z 2025-08-26T21:54:08.1715113Z Generating XML reports... 2025-08-26T21:54:09.1519937Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-08-26 21:54:09.151581] 2025-08-26T21:54:12.0945617Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:54:12.0947429Z import pkg_resources 2025-08-26T21:54:12.1686569Z running install 2025-08-26T21:54:12.1689215Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:54:12.1690011Z !! 2025-08-26T21:54:12.1690123Z 2025-08-26T21:54:12.1690278Z ******************************************************************************** 2025-08-26T21:54:12.1690647Z Please avoid running ``setup.py`` directly. 2025-08-26T21:54:12.1691049Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:54:12.1691420Z standards-based tools. 2025-08-26T21:54:12.1691603Z 2025-08-26T21:54:12.1691837Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:54:12.1692311Z or your builds will no longer be supported. 2025-08-26T21:54:12.1692562Z 2025-08-26T21:54:12.1692868Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:54:12.1693589Z ******************************************************************************** 2025-08-26T21:54:12.1693828Z 2025-08-26T21:54:12.1693922Z !! 2025-08-26T21:54:12.1694139Z self.initialize_options() 2025-08-26T21:54:12.1814164Z running build 2025-08-26T21:54:12.1814474Z running build_py 2025-08-26T21:54:12.1890387Z creating build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension 2025-08-26T21:54:12.1892543Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension 2025-08-26T21:54:12.1896384Z running build_ext 2025-08-26T21:54:12.2345858Z building 'torch_test_cpp_extension.cpp' extension 2025-08-26T21:54:12.2347991Z creating /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-39 2025-08-26T21:54:13.1174739Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-39/extension.o.d -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.9/include/python3.9 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-39/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-26T21:54:13.1278625Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -shared /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-39/extension.o -L/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/cpp.cpython-39-x86_64-linux-gnu.so 2025-08-26T21:54:13.7191509Z building 'torch_test_cpp_extension.maia' extension 2025-08-26T21:54:14.5075235Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-39/maia_extension.o.d -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.9/include/python3.9 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/maia_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-39/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-26T21:54:14.5129139Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -shared /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-39/maia_extension.o -L/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/maia.cpython-39-x86_64-linux-gnu.so 2025-08-26T21:54:15.0976901Z building 'torch_test_cpp_extension.rng' extension 2025-08-26T21:54:16.0337400Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-39/rng_extension.o.d -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include -I/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.9/include/python3.9 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-39/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-26T21:54:16.0395529Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -shared /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-39/rng_extension.o -L/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/rng.cpython-39-x86_64-linux-gnu.so 2025-08-26T21:54:16.6630564Z running install_lib 2025-08-26T21:54:16.6720066Z copying build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/cpp.cpython-39-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension 2025-08-26T21:54:16.6763460Z copying build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/maia.cpython-39-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension 2025-08-26T21:54:16.6808543Z copying build/lib.linux-x86_64-cpython-39/torch_test_cpp_extension/rng.cpython-39-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension 2025-08-26T21:54:16.6860170Z running install_egg_info 2025-08-26T21:54:16.7037849Z running egg_info 2025-08-26T21:54:16.7173112Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-26T21:54:16.7179547Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-26T21:54:16.7183423Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-26T21:54:16.7187831Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-26T21:54:16.7291452Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:54:16.7300747Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:54:16.7302361Z removing './install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension-0.0.0-py3.9.egg-info' (and everything under it) 2025-08-26T21:54:16.7304089Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_test_cpp_extension-0.0.0-py3.9.egg-info 2025-08-26T21:54:16.7310945Z running install_scripts 2025-08-26T21:54:19.3216214Z running install 2025-08-26T21:54:19.3217190Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:54:19.3217987Z !! 2025-08-26T21:54:19.3218096Z 2025-08-26T21:54:19.3218234Z ******************************************************************************** 2025-08-26T21:54:19.3218616Z Please avoid running ``setup.py`` directly. 2025-08-26T21:54:19.3219029Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:54:19.3219408Z standards-based tools. 2025-08-26T21:54:19.3219597Z 2025-08-26T21:54:19.3219837Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:54:19.3220312Z or your builds will no longer be supported. 2025-08-26T21:54:19.3220576Z 2025-08-26T21:54:19.3220878Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:54:19.3221419Z ******************************************************************************** 2025-08-26T21:54:19.3221907Z 2025-08-26T21:54:19.3221989Z !! 2025-08-26T21:54:19.3222214Z self.initialize_options() 2025-08-26T21:54:19.3336232Z running build 2025-08-26T21:54:19.3336555Z running build_ext 2025-08-26T21:54:19.3748981Z building 'no_python_abi_suffix_test' extension 2025-08-26T21:54:19.4463309Z ninja: no work to do. 2025-08-26T21:54:19.4514138Z g++ -pthread -B /opt/conda/envs/py_3.9/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -fPIC -O2 -isystem /opt/conda/envs/py_3.9/include -shared /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-39/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-39/no_python_abi_suffix_test.so 2025-08-26T21:54:19.5742462Z running install_lib 2025-08-26T21:54:19.5825839Z copying build/lib.linux-x86_64-cpython-39/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages 2025-08-26T21:54:19.5832297Z running install_egg_info 2025-08-26T21:54:19.6007077Z running egg_info 2025-08-26T21:54:19.6079058Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2025-08-26T21:54:19.6083954Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2025-08-26T21:54:19.6087074Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2025-08-26T21:54:19.6157418Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T21:54:19.6167027Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T21:54:19.6169036Z removing './install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/no_python_abi_suffix_test-0.0.0-py3.9.egg-info' (and everything under it) 2025-08-26T21:54:19.6170885Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.9/lib/python3.9/site-packages/no_python_abi_suffix_test-0.0.0-py3.9.egg-info 2025-08-26T21:54:19.6176494Z running install_scripts 2025-08-26T21:54:20.1597302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:54:20.1600805Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:54:20.159784] 2025-08-26T21:54:34.4780159Z 2025-08-26T21:54:34.4781096Z test_cpp_extensions_aot_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_ninja_1.1_33579c6c0786c320_.log 2025-08-26T21:54:34.4789454Z Running 21 items in this shard: test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_ninja.py::TestTorchLibrary::test_torch_library 2025-08-26T21:54:34.4797538Z 2025-08-26T21:54:34.4797734Z Running dynamo/test_utils 1/1 ... [2025-08-26 21:54:34.478663] 2025-08-26T21:54:34.4798145Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:54:34.4799292Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:54:34.479150] 2025-08-26T21:54:38.3152035Z 2025-08-26T21:54:38.3153067Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_21567437b42d3ff7_.log 2025-08-26T21:54:38.3153729Z 2025-08-26T21:54:38.3159422Z Running dynamo/test_modes 1/1 ... [2025-08-26 21:54:38.315740] 2025-08-26T21:54:38.3159905Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:54:38.3164649Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_modes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:54:38.316234] 2025-08-26T21:54:46.3615126Z 2025-08-26T21:54:46.3615996Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_c1e80432c6c8594e_.log 2025-08-26T21:54:46.3616655Z 2025-08-26T21:54:46.3622583Z Running dynamo/test_logging 1/1 ... [2025-08-26 21:54:46.362064] 2025-08-26T21:54:46.3623022Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:54:46.3627957Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_logging.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:54:46.362563] 2025-08-26T21:54:54.4781685Z 2025-08-26T21:54:54.4782886Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_91d6e434675e940f_.log 2025-08-26T21:54:54.4783574Z 2025-08-26T21:54:54.4789086Z Running dynamo/test_higher_order_ops 1/1 ... [2025-08-26 21:54:54.478709] 2025-08-26T21:54:54.4789568Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:54:54.4794440Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:54:54.479202] 2025-08-26T21:55:03.3285315Z 2025-08-26T21:55:03.3286583Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_bf8fc2e28580e8c5_.log 2025-08-26T21:55:03.3287324Z 2025-08-26T21:55:03.3292724Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-08-26 21:55:03.329071] 2025-08-26T21:55:03.3293209Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:55:03.3298529Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_aot_autograd_cache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:03.329579] 2025-08-26T21:55:11.6486107Z 2025-08-26T21:55:11.6487187Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_da0f12cf2b2e547d_.log 2025-08-26T21:55:11.6488298Z 2025-08-26T21:55:11.6493312Z Running dynamo/test_recompile_ux 1/1 ... [2025-08-26 21:55:11.649120] 2025-08-26T21:55:11.6494030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:55:11.6498432Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:11.649607] 2025-08-26T21:55:15.7744449Z 2025-08-26T21:55:15.7745410Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_72079fa93e4da3ac_.log 2025-08-26T21:55:15.7746146Z 2025-08-26T21:55:15.7751063Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-08-26 21:55:15.774872] 2025-08-26T21:55:15.7751627Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:55:15.7756460Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_deque_reconstruct.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:15.775372] 2025-08-26T21:55:19.7191721Z 2025-08-26T21:55:19.7193472Z dynamo/test_deque_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deque_reconstruct_1.1_da805671403d5eb7_.log 2025-08-26T21:55:19.7194255Z 2025-08-26T21:55:19.7199975Z Running dynamo/test_base_output 1/1 ... [2025-08-26 21:55:19.719759] 2025-08-26T21:55:19.7200448Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:55:19.7205838Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_base_output.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:19.720303] 2025-08-26T21:55:23.8171504Z 2025-08-26T21:55:23.8172462Z dynamo/test_base_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_output_1.1_e690de8656f78b92_.log 2025-08-26T21:55:23.8173166Z 2025-08-26T21:55:23.8178215Z Running dynamo/test_recompiles 1/1 ... [2025-08-26 21:55:23.817628] 2025-08-26T21:55:23.8178670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:55:23.8183961Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_recompiles.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:23.818127] 2025-08-26T21:55:27.9062924Z 2025-08-26T21:55:27.9063885Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_105b53fdd216802e_.log 2025-08-26T21:55:27.9064599Z 2025-08-26T21:55:27.9070209Z Running dynamo/test_interop 1/1 ... [2025-08-26 21:55:27.906821] 2025-08-26T21:55:27.9070662Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:55:27.9075598Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_interop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:27.907305] 2025-08-26T21:55:31.9907112Z 2025-08-26T21:55:31.9908341Z dynamo/test_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_interop_1.1_7114efe2622e5926_.log 2025-08-26T21:55:31.9909026Z 2025-08-26T21:55:31.9914335Z Running dynamo/test_sdpa 1/1 ... [2025-08-26 21:55:31.991230] 2025-08-26T21:55:31.9914760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:55:31.9919603Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_sdpa.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:31.991721] 2025-08-26T21:55:36.1130924Z 2025-08-26T21:55:36.1131762Z dynamo/test_sdpa 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sdpa_1.1_c574007aab850aaf_.log 2025-08-26T21:55:36.1132426Z 2025-08-26T21:55:36.1138195Z Running dynamo/test_nops 1/1 ... [2025-08-26 21:55:36.113607] 2025-08-26T21:55:36.1138623Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:55:36.1143499Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_nops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:36.114110] 2025-08-26T21:55:40.2665470Z 2025-08-26T21:55:40.2666685Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_7eb051208b668478_.log 2025-08-26T21:55:40.2667396Z 2025-08-26T21:55:40.2672854Z Running dynamo/test_metrics_context 1/1 ... [2025-08-26 21:55:40.267094] 2025-08-26T21:55:40.2673417Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:55:40.2678405Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_metrics_context.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:40.267588] 2025-08-26T21:55:44.1692056Z 2025-08-26T21:55:44.1693005Z dynamo/test_metrics_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_metrics_context_1.1_f2eac48759446d80_.log 2025-08-26T21:55:44.1693763Z 2025-08-26T21:55:44.1699380Z Running dynamo/test_modules 1/1 ... [2025-08-26 21:55:44.169750] 2025-08-26T21:55:44.1699814Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:55:44.1704689Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:44.170241] 2025-08-26T21:55:52.5083431Z 2025-08-26T21:55:52.5084636Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_3d6dffc3f7de87df_.log 2025-08-26T21:55:52.5085338Z 2025-08-26T21:55:52.5090900Z Running dynamo/test_resume 1/1 ... [2025-08-26 21:55:52.508904] 2025-08-26T21:55:52.5091335Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:55:52.5096745Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_resume.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:52.509433] 2025-08-26T21:55:56.4295882Z 2025-08-26T21:55:56.4297023Z dynamo/test_resume 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_resume_1.1_74343cd46dbdd622_.log 2025-08-26T21:55:56.4297710Z 2025-08-26T21:55:56.4303574Z Running dynamo/test_unittest 1/1 ... [2025-08-26 21:55:56.430159] 2025-08-26T21:55:56.4304025Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:55:56.4308896Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_unittest.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:56.430663] 2025-08-26T21:56:00.5553304Z 2025-08-26T21:56:00.5554185Z dynamo/test_unittest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unittest_1.1_744e56dc6ac85e76_.log 2025-08-26T21:56:00.5554890Z 2025-08-26T21:56:00.5560633Z Running dynamo/test_autograd_function 1/1 ... [2025-08-26 21:56:00.555875] 2025-08-26T21:56:00.5561194Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:56:00.5566257Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_autograd_function.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:00.556375] 2025-08-26T21:56:08.8022605Z 2025-08-26T21:56:08.8023722Z dynamo/test_autograd_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_autograd_function_1.1_5df32e803c90a489_.log 2025-08-26T21:56:08.8024515Z 2025-08-26T21:56:08.8028148Z Running dynamo/test_list 1/1 ... [2025-08-26 21:56:08.802639] 2025-08-26T21:56:08.8028566Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:56:08.8033949Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_list.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:08.803139] 2025-08-26T21:56:12.9319906Z 2025-08-26T21:56:12.9320901Z dynamo/test_list 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_list_1.1_23128b63da66fe57_.log 2025-08-26T21:56:12.9321624Z 2025-08-26T21:56:12.9328079Z Running dynamo/test_profiler 1/1 ... [2025-08-26 21:56:12.932587] 2025-08-26T21:56:12.9328624Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:56:12.9333538Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:12.933094] 2025-08-26T21:56:17.0386662Z 2025-08-26T21:56:17.0387633Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_9df118c030ab6ce2_.log 2025-08-26T21:56:17.0388335Z 2025-08-26T21:56:17.0394193Z Running dynamo/test_deviceguard 1/1 ... [2025-08-26 21:56:17.039222] 2025-08-26T21:56:17.0394732Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:56:17.0400233Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_deviceguard.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:17.039711] 2025-08-26T21:56:21.3407661Z 2025-08-26T21:56:21.3409101Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_f494db4a7a211adb_.log 2025-08-26T21:56:21.3410565Z 2025-08-26T21:56:21.3416834Z Running dynamo/test_flat_apply 1/1 ... [2025-08-26 21:56:21.341436] 2025-08-26T21:56:21.3417607Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:56:21.3423565Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:21.342015] 2025-08-26T21:56:25.4025021Z 2025-08-26T21:56:25.4025927Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_c58766a28fe5f6ac_.log 2025-08-26T21:56:25.4026642Z 2025-08-26T21:56:25.4032008Z Running dynamo/test_sets 1/1 ... [2025-08-26 21:56:25.403054] 2025-08-26T21:56:25.4032437Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:56:25.4037790Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:25.403565] 2025-08-26T21:56:29.4350903Z 2025-08-26T21:56:29.4352359Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_90498374a04b8163_.log 2025-08-26T21:56:29.4353883Z 2025-08-26T21:56:29.4358488Z Running dynamo/test_aot_autograd 1/1 ... [2025-08-26 21:56:29.435637] 2025-08-26T21:56:29.4362948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:56:29.4365109Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:29.436139] 2025-08-26T21:56:33.5381934Z 2025-08-26T21:56:33.5382881Z dynamo/test_aot_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_1.1_bf390f03cba5a239_.log 2025-08-26T21:56:33.5383612Z 2025-08-26T21:56:33.5390292Z Running dynamo/test_compiler_bisector 1/1 ... [2025-08-26 21:56:33.538756] 2025-08-26T21:56:33.5391115Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:56:33.5395748Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_compiler_bisector.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:33.539330] 2025-08-26T21:56:41.8184086Z 2025-08-26T21:56:41.8185099Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_9fb7f7121fefd53c_.log 2025-08-26T21:56:41.8185903Z 2025-08-26T21:56:41.8191674Z Running dynamo/test_bytecode_utils 1/1 ... [2025-08-26 21:56:41.818912] 2025-08-26T21:56:41.8192432Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:56:41.8198586Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:41.819503] 2025-08-26T21:56:45.9253505Z 2025-08-26T21:56:45.9255031Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_34e42b677d335e25_.log 2025-08-26T21:56:45.9256374Z 2025-08-26T21:56:45.9262422Z Running dynamo/test_torchrec 1/1 ... [2025-08-26 21:56:45.926015] 2025-08-26T21:56:45.9263122Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:56:45.9267570Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:45.926524] 2025-08-26T21:56:50.0270660Z 2025-08-26T21:56:50.0272151Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_e778a7eb0ca78f31_.log 2025-08-26T21:56:50.0273642Z 2025-08-26T21:56:50.0280209Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-08-26 21:56:50.027748] 2025-08-26T21:56:50.0280765Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:56:50.0286512Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:50.028295] 2025-08-26T21:56:58.1389573Z 2025-08-26T21:56:58.1390631Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_9aa6088363366ea6_.log 2025-08-26T21:56:58.1391484Z 2025-08-26T21:56:58.1395320Z Running dynamo/test_hooks 1/1 ... [2025-08-26 21:56:58.139372] 2025-08-26T21:56:58.1395845Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:56:58.1401211Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_hooks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:58.139887] 2025-08-26T21:57:02.2674645Z 2025-08-26T21:57:02.2675964Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_4a5bff83f87c1b63_.log 2025-08-26T21:57:02.2677189Z 2025-08-26T21:57:02.2683253Z Running dynamo/test_comptime 1/1 ... [2025-08-26 21:57:02.268102] 2025-08-26T21:57:02.2683951Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:57:02.2690914Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:02.268730] 2025-08-26T21:57:06.3516828Z 2025-08-26T21:57:06.3517726Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_b7aebcc43423aa58_.log 2025-08-26T21:57:06.3518428Z 2025-08-26T21:57:06.3524433Z Running test_matmul_cuda 1/1 ... [2025-08-26 21:57:06.352200] 2025-08-26T21:57:06.3525132Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:57:06.3530355Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:06.352778] 2025-08-26T21:57:10.5706597Z 2025-08-26T21:57:10.5707477Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_9e7cf0a7a02100aa_.log 2025-08-26T21:57:10.5708268Z Running 0 items in this shard: 2025-08-26T21:57:10.5708462Z 2025-08-26T21:57:10.5714021Z Running test_jiterator 1/1 ... [2025-08-26 21:57:10.571226] 2025-08-26T21:57:10.5714507Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:57:10.5719197Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_jiterator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:10.571710] 2025-08-26T21:57:14.7849173Z 2025-08-26T21:57:14.7850267Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_2fab05e8acfb6ed5_.log 2025-08-26T21:57:14.7851053Z Running 0 items in this shard: 2025-08-26T21:57:14.7851245Z 2025-08-26T21:57:14.7856058Z Running functorch/test_ac 1/1 ... [2025-08-26 21:57:14.785430] 2025-08-26T21:57:14.7856565Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:57:14.7861390Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:14.785893] 2025-08-26T21:57:22.9395319Z 2025-08-26T21:57:22.9396607Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_17122a9057657206_.log 2025-08-26T21:57:22.9397779Z 2025-08-26T21:57:22.9403954Z Running test_cuda_sanitizer 1/1 ... [2025-08-26 21:57:22.940156] 2025-08-26T21:57:22.9404656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:57:22.9411249Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:22.940756] 2025-08-26T21:57:26.8258129Z 2025-08-26T21:57:26.8259175Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_99d8c697643b2902_.log 2025-08-26T21:57:26.8259970Z Running 0 items in this shard: 2025-08-26T21:57:26.8260354Z 2025-08-26T21:57:26.8265609Z Running dynamo/test_nested_graph_breaks 1/1 ... [2025-08-26 21:57:26.826384] 2025-08-26T21:57:26.8266098Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:57:26.8270913Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_nested_graph_breaks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:26.826876] 2025-08-26T21:57:30.7210858Z 2025-08-26T21:57:30.7212029Z dynamo/test_nested_graph_breaks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nested_graph_breaks_1.1_fb84ae31c4246789_.log 2025-08-26T21:57:30.7212830Z 2025-08-26T21:57:30.7218283Z Running test_quantization 5/8 ... [2025-08-26 21:57:30.721609] 2025-08-26T21:57:30.7218723Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:57:30.7223301Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=5', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:30.722096] 2025-08-26T21:57:36.5882664Z 2025-08-26T21:57:36.5883594Z test_quantization 5/8 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_5.8_09e917cf4f7fbd51_.log 2025-08-26T21:57:36.5884365Z Running 0 items in this shard: 2025-08-26T21:57:36.5884569Z 2025-08-26T21:57:39.7436777Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:57:39.7439585Z import pkg_resources 2025-08-26T21:57:39.7706938Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:57:39.7763045Z import pkg_resources 2025-08-26T21:57:39.7765833Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:57:39.7768656Z import pkg_resources 2025-08-26T21:57:40.1682723Z Running dynamo/test_utils 1/1 ... [2025-08-26 21:57:40.167837] 2025-08-26T21:57:40.1683482Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:57:40.1684117Z Running dynamo/test_logging 1/1 ... [2025-08-26 21:57:40.167939] 2025-08-26T21:57:40.1685258Z Running dynamo/test_modes 1/1 ... [2025-08-26 21:57:40.167952] 2025-08-26T21:57:40.1686037Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:57:40.1686581Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:57:40.1688288Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:40.168300] 2025-08-26T21:57:40.1690805Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_logging.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:40.168378] 2025-08-26T21:57:40.1693384Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_modes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:40.168423] 2025-08-26T21:57:44.0602229Z 2025-08-26T21:57:44.0603543Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_cb87b0009edbeec0_.log 2025-08-26T21:57:44.0604648Z 2025-08-26T21:57:48.2707594Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:57:48.2709157Z import pkg_resources 2025-08-26T21:57:48.5308884Z Running dynamo/test_higher_order_ops 1/1 ... [2025-08-26 21:57:48.530482] 2025-08-26T21:57:48.5309417Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:57:48.5312101Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:48.530905] 2025-08-26T21:57:48.6373311Z 2025-08-26T21:57:48.6375187Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_0898bbe332b2cfe8_.log 2025-08-26T21:57:48.6375894Z 2025-08-26T21:57:50.1613180Z 2025-08-26T21:57:50.1614142Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_9d4454a5d2b13c3e_.log 2025-08-26T21:57:50.1615363Z 2025-08-26T21:57:52.7723321Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:57:52.7726152Z import pkg_resources 2025-08-26T21:57:53.0226551Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-08-26 21:57:53.022210] 2025-08-26T21:57:53.0227384Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:57:53.0231220Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_aot_autograd_cache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:53.022739] 2025-08-26T21:57:54.2168540Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:57:54.2170350Z import pkg_resources 2025-08-26T21:57:54.4667383Z Running dynamo/test_recompile_ux 1/1 ... [2025-08-26 21:57:54.466311] 2025-08-26T21:57:54.4667895Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:57:54.4670963Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:54.466752] 2025-08-26T21:57:57.5623284Z 2025-08-26T21:57:57.5624420Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_9669c54bb9265a69_.log 2025-08-26T21:57:57.5625394Z 2025-08-26T21:57:58.6399515Z 2025-08-26T21:57:58.6400873Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_318578248b905e2e_.log 2025-08-26T21:57:58.6401853Z 2025-08-26T21:58:01.6172175Z 2025-08-26T21:58:01.6173493Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_c85da7214f5f3f05_.log 2025-08-26T21:58:01.6174994Z 2025-08-26T21:58:01.8710532Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:01.8712986Z import pkg_resources 2025-08-26T21:58:02.1240702Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-08-26 21:58:02.123683] 2025-08-26T21:58:02.1241213Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:02.1244799Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_deque_reconstruct.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:02.124150] 2025-08-26T21:58:02.8050210Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:02.8053045Z import pkg_resources 2025-08-26T21:58:03.0986949Z Running dynamo/test_base_output 1/1 ... [2025-08-26 21:58:03.098251] 2025-08-26T21:58:03.0988080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:03.0994563Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_base_output.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:03.099053] 2025-08-26T21:58:05.8022141Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:05.8023714Z import pkg_resources 2025-08-26T21:58:06.0533140Z Running dynamo/test_recompiles 1/1 ... [2025-08-26 21:58:06.052954] 2025-08-26T21:58:06.0533620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:06.0537808Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_recompiles.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:06.053392] 2025-08-26T21:58:06.0857415Z 2025-08-26T21:58:06.0858801Z dynamo/test_deque_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deque_reconstruct_1.1_aa11b9dcbcd0fc78_.log 2025-08-26T21:58:06.0859929Z 2025-08-26T21:58:07.2812531Z 2025-08-26T21:58:07.2813674Z dynamo/test_base_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_output_1.1_d29070a522f96ba0_.log 2025-08-26T21:58:07.2814523Z 2025-08-26T21:58:10.1514859Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:10.1516403Z import pkg_resources 2025-08-26T21:58:10.2467398Z 2025-08-26T21:58:10.2468642Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_0a64cab6a007a4fe_.log 2025-08-26T21:58:10.2469516Z 2025-08-26T21:58:10.4048023Z Running dynamo/test_interop 1/1 ... [2025-08-26 21:58:10.404362] 2025-08-26T21:58:10.4049151Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:10.4051605Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_interop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:10.404844] 2025-08-26T21:58:11.3428603Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:11.3431718Z import pkg_resources 2025-08-26T21:58:11.6379608Z Running dynamo/test_sdpa 1/1 ... [2025-08-26 21:58:11.637557] 2025-08-26T21:58:11.6380369Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:11.6383179Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_sdpa.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:11.637983] 2025-08-26T21:58:14.2631548Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:14.2634419Z import pkg_resources 2025-08-26T21:58:14.5120901Z Running dynamo/test_nops 1/1 ... [2025-08-26 21:58:14.511679] 2025-08-26T21:58:14.5121699Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:14.5123915Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_nops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:14.512092] 2025-08-26T21:58:14.5899387Z 2025-08-26T21:58:14.5900766Z dynamo/test_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_interop_1.1_e2ddd617f8dac078_.log 2025-08-26T21:58:14.5903487Z 2025-08-26T21:58:15.7611394Z 2025-08-26T21:58:15.7614637Z dynamo/test_sdpa 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sdpa_1.1_12ecc1a72f70bd57_.log 2025-08-26T21:58:15.7615774Z 2025-08-26T21:58:18.7832904Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:18.7835669Z import pkg_resources 2025-08-26T21:58:18.7998146Z 2025-08-26T21:58:18.7999342Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_87c9a56a359791d6_.log 2025-08-26T21:58:18.8001568Z 2025-08-26T21:58:19.0382843Z Running dynamo/test_metrics_context 1/1 ... [2025-08-26 21:58:19.037830] 2025-08-26T21:58:19.0383779Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:19.0386085Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_metrics_context.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:19.038278] 2025-08-26T21:58:19.9314384Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:19.9317961Z import pkg_resources 2025-08-26T21:58:20.1989936Z Running dynamo/test_modules 1/1 ... [2025-08-26 21:58:20.198478] 2025-08-26T21:58:20.1990765Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:20.1998441Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:20.199425] 2025-08-26T21:58:22.9329704Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:22.9332641Z import pkg_resources 2025-08-26T21:58:23.1205966Z 2025-08-26T21:58:23.1207656Z dynamo/test_metrics_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_metrics_context_1.1_80d4f6cb604fe41c_.log 2025-08-26T21:58:23.1208692Z 2025-08-26T21:58:23.1830515Z Running dynamo/test_resume 1/1 ... [2025-08-26 21:58:23.182635] 2025-08-26T21:58:23.1831192Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:23.1833759Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_resume.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:23.183062] 2025-08-26T21:58:27.1043240Z 2025-08-26T21:58:27.1044695Z dynamo/test_resume 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_resume_1.1_769e25ecf5f417a2_.log 2025-08-26T21:58:27.1045389Z 2025-08-26T21:58:27.1500904Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:27.1502632Z import pkg_resources 2025-08-26T21:58:27.3974352Z Running dynamo/test_unittest 1/1 ... [2025-08-26 21:58:27.396987] 2025-08-26T21:58:27.3974997Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:27.3977473Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_unittest.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:27.397441] 2025-08-26T21:58:28.5426679Z 2025-08-26T21:58:28.5427930Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_0161f66b7bc474c3_.log 2025-08-26T21:58:28.5429074Z 2025-08-26T21:58:31.1157331Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:31.1159762Z import pkg_resources 2025-08-26T21:58:31.3651720Z Running dynamo/test_autograd_function 1/1 ... [2025-08-26 21:58:31.364766] 2025-08-26T21:58:31.3652254Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:31.3656800Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_autograd_function.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:31.365289] 2025-08-26T21:58:31.5496169Z 2025-08-26T21:58:31.5497557Z dynamo/test_unittest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unittest_1.1_a8167f059989cf89_.log 2025-08-26T21:58:31.5498457Z 2025-08-26T21:58:32.5181039Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:32.5183867Z import pkg_resources 2025-08-26T21:58:32.7695451Z Running dynamo/test_list 1/1 ... [2025-08-26 21:58:32.769121] 2025-08-26T21:58:32.7696241Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:32.7698962Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_list.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:32.769558] 2025-08-26T21:58:35.5516505Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:35.5518084Z import pkg_resources 2025-08-26T21:58:35.8002590Z Running dynamo/test_profiler 1/1 ... [2025-08-26 21:58:35.799826] 2025-08-26T21:58:35.8003362Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:35.8006656Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:35.800271] 2025-08-26T21:58:36.9286385Z 2025-08-26T21:58:36.9287836Z dynamo/test_list 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_list_1.1_2dd8140f40d66613_.log 2025-08-26T21:58:36.9289017Z 2025-08-26T21:58:39.9197832Z 2025-08-26T21:58:39.9198898Z dynamo/test_autograd_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_autograd_function_1.1_1d1265827cfba47a_.log 2025-08-26T21:58:39.9199882Z 2025-08-26T21:58:40.0343987Z 2025-08-26T21:58:40.0345367Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_0819bc1eb785ee2d_.log 2025-08-26T21:58:40.0346545Z 2025-08-26T21:58:40.9895875Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:40.9897664Z import pkg_resources 2025-08-26T21:58:41.2408539Z Running dynamo/test_deviceguard 1/1 ... [2025-08-26 21:58:41.240500] 2025-08-26T21:58:41.2409035Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:41.2414001Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_deviceguard.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:41.241102] 2025-08-26T21:58:44.0475341Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:44.0478318Z import pkg_resources 2025-08-26T21:58:44.0482919Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:44.0486135Z import pkg_resources 2025-08-26T21:58:44.2969037Z Running dynamo/test_flat_apply 1/1 ... [2025-08-26 21:58:44.296495] 2025-08-26T21:58:44.2970013Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:44.2972749Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:44.296926] 2025-08-26T21:58:44.2980256Z Running dynamo/test_sets 1/1 ... [2025-08-26 21:58:44.297796] 2025-08-26T21:58:44.2980717Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:44.2985108Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:44.298185] 2025-08-26T21:58:45.5793240Z 2025-08-26T21:58:45.5794800Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_cdcb7ac786a7c192_.log 2025-08-26T21:58:45.5796098Z 2025-08-26T21:58:48.4505821Z 2025-08-26T21:58:48.4507159Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_f08554b52fe6f7eb_.log 2025-08-26T21:58:48.4508336Z 2025-08-26T21:58:48.4802757Z 2025-08-26T21:58:48.4804348Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_603232d0ff35ae6a_.log 2025-08-26T21:58:48.4805486Z 2025-08-26T21:58:49.8242635Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:49.8246160Z import pkg_resources 2025-08-26T21:58:50.0981922Z Running dynamo/test_aot_autograd 1/1 ... [2025-08-26 21:58:50.097769] 2025-08-26T21:58:50.0982733Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:50.0985937Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:50.098222] 2025-08-26T21:58:52.5451948Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:52.5455119Z import pkg_resources 2025-08-26T21:58:52.5553798Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:52.5556552Z import pkg_resources 2025-08-26T21:58:52.7927130Z Running dynamo/test_compiler_bisector 1/1 ... [2025-08-26 21:58:52.792300] 2025-08-26T21:58:52.7928082Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:52.7931085Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_compiler_bisector.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:52.792681] 2025-08-26T21:58:52.8021541Z Running dynamo/test_bytecode_utils 1/1 ... [2025-08-26 21:58:52.801833] 2025-08-26T21:58:52.8022315Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:52.8026675Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:52.802305] 2025-08-26T21:58:54.2454210Z 2025-08-26T21:58:54.2455823Z dynamo/test_aot_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_1.1_ed94e0523063e153_.log 2025-08-26T21:58:54.2456549Z 2025-08-26T21:58:56.9495205Z 2025-08-26T21:58:56.9496745Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_87146ccc7102ee8e_.log 2025-08-26T21:58:56.9498199Z 2025-08-26T21:58:58.3641281Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:58:58.3642822Z import pkg_resources 2025-08-26T21:58:58.6134114Z Running dynamo/test_torchrec 1/1 ... [2025-08-26 21:58:58.612943] 2025-08-26T21:58:58.6134982Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:58:58.6137580Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:58.613385] 2025-08-26T21:59:01.0407168Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:59:01.0410301Z import pkg_resources 2025-08-26T21:59:01.2271150Z 2025-08-26T21:59:01.2272419Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_6ace8ebae07b130e_.log 2025-08-26T21:59:01.2273471Z 2025-08-26T21:59:01.2922416Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-08-26 21:59:01.291855] 2025-08-26T21:59:01.2923414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:59:01.2926148Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:59:01.292284] 2025-08-26T21:59:02.8961449Z 2025-08-26T21:59:02.8962865Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_9ab818d4ffb523be_.log 2025-08-26T21:59:02.8964121Z 2025-08-26T21:59:05.3462707Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:59:05.3465413Z import pkg_resources 2025-08-26T21:59:05.6019529Z Running dynamo/test_hooks 1/1 ... [2025-08-26 21:59:05.601513] 2025-08-26T21:59:05.6020027Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:59:05.6022118Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_hooks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:59:05.601960] 2025-08-26T21:59:07.0074363Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:59:07.0077186Z import pkg_resources 2025-08-26T21:59:07.2621093Z Running dynamo/test_comptime 1/1 ... [2025-08-26 21:59:07.261709] 2025-08-26T21:59:07.2621840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:59:07.2625713Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:59:07.262172] 2025-08-26T21:59:09.7986086Z 2025-08-26T21:59:09.7987313Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_c53062773445eb8b_.log 2025-08-26T21:59:09.7987967Z 2025-08-26T21:59:09.9029826Z 2025-08-26T21:59:09.9031695Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_bd17c8d95098c674_.log 2025-08-26T21:59:09.9032967Z 2025-08-26T21:59:11.4708047Z 2025-08-26T21:59:11.4709502Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_b4ba9a56b0981ad1_.log 2025-08-26T21:59:11.4711002Z 2025-08-26T21:59:13.9329497Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:59:13.9331069Z import pkg_resources 2025-08-26T21:59:13.9419833Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:59:13.9421355Z import pkg_resources 2025-08-26T21:59:14.1799150Z Running test_matmul_cuda 1/1 ... [2025-08-26 21:59:14.179491] 2025-08-26T21:59:14.1799740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:59:14.1802056Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:59:14.179896] 2025-08-26T21:59:14.1907031Z Running test_jiterator 1/1 ... [2025-08-26 21:59:14.190365] 2025-08-26T21:59:14.1907825Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:59:14.1911285Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_jiterator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:59:14.190775] 2025-08-26T21:59:15.4782614Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:59:15.4784160Z import pkg_resources 2025-08-26T21:59:15.7264064Z Running functorch/test_ac 1/1 ... [2025-08-26 21:59:15.726015] 2025-08-26T21:59:15.7264557Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:59:15.7267744Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:59:15.726433] 2025-08-26T21:59:18.4069325Z 2025-08-26T21:59:18.4070584Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_9866885fb28a3bcc_.log 2025-08-26T21:59:18.4071784Z Running 0 items in this shard: 2025-08-26T21:59:18.4072082Z 2025-08-26T21:59:18.4928834Z 2025-08-26T21:59:18.4930287Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_61e0dd99400dd078_.log 2025-08-26T21:59:18.4931374Z Running 0 items in this shard: 2025-08-26T21:59:18.4931571Z 2025-08-26T21:59:22.5161172Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:59:22.5162745Z import pkg_resources 2025-08-26T21:59:22.5326931Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:59:22.5328514Z import pkg_resources 2025-08-26T21:59:22.7629111Z Running test_cuda_sanitizer 1/1 ... [2025-08-26 21:59:22.762521] 2025-08-26T21:59:22.7629620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:59:22.7632604Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:59:22.762930] 2025-08-26T21:59:22.7785118Z Running dynamo/test_nested_graph_breaks 1/1 ... [2025-08-26 21:59:22.778135] 2025-08-26T21:59:22.7787952Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:59:22.7790146Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'dynamo/test_nested_graph_breaks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:59:22.778580] 2025-08-26T21:59:24.1862559Z 2025-08-26T21:59:24.1864917Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_62091f3a0a078425_.log 2025-08-26T21:59:24.1866274Z 2025-08-26T21:59:26.7633285Z 2025-08-26T21:59:26.7634956Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_82d7e09e7a321f39_.log 2025-08-26T21:59:26.7636384Z Running 0 items in this shard: 2025-08-26T21:59:26.7636719Z 2025-08-26T21:59:26.8399143Z 2025-08-26T21:59:26.8401023Z dynamo/test_nested_graph_breaks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nested_graph_breaks_1.1_b461798ad934cf8d_.log 2025-08-26T21:59:26.8402400Z 2025-08-26T21:59:28.1581244Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:59:28.1584125Z import pkg_resources 2025-08-26T21:59:28.4048338Z Running test_quantization 5/8 ... [2025-08-26 21:59:28.404420] 2025-08-26T21:59:28.4049083Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T21:59:28.4051916Z Executing ['/opt/conda/envs/py_3.9/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=5', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:59:28.404859] 2025-08-26T21:59:30.6968553Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:59:30.6971550Z import pkg_resources 2025-08-26T21:59:30.7227342Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T21:59:30.7230225Z import pkg_resources 2025-08-26T22:10:44.9512804Z 2025-08-26T22:10:44.9513757Z test_quantization 5/8 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_5.8_b5f72396f6c4fbbc_.log 2025-08-26T22:10:44.9576299Z Running 166 items in this shard: test/test_quantization.py::TestQuantizedOps::test_int8_batch_norm_onednn, test/test_quantization.py::TestQuantizedOps::test_max_pool3d_nhwc, test/test_quantization.py::TestQuantizedOps::test_mul_scalar_relu, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_same_qparams, test/test_quantization.py::TestQuantizedOps::test_qlayer_norm, test/test_quantization.py::TestQuantizedOps::test_quantized_mean_qnnpack, test/test_quantization.py::TestQNNPackOps::test_adaptive_avg_pool2d, test/test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_pt2e, test/test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear, test/test_quantization.py::TestQuantizedConv::test_conv_reorder_issue_onednn, test/test_quantization.py::TestQuantizedConv::test_qconv2d, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_fp8, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv2d, test/test_quantization.py::TestComparatorOps::test_compare_tensor_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quant_per_channel_qparam_range, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_tensor_cpu, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_moving_avg_per_channel, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cuda, test/test_quantization.py::TestQuantizedTensor::test_per_tensor_to_device, test/test_quantization.py::TestQuantizedTensor::test_qtensor_channel_float_assignment, test/test_quantization.py::TestQuantizedTensor::test_qtensor_copy, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_channel, test/test_quantization.py::TestQuantizedTensor::test_qtensor_load_save, test/test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_quantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_qtensor_reshape, test/test_quantization.py::TestQuantizedTensor::test_qtensor_view, test/test_quantization.py::TestQuantizedTensor::test_quant_pin_memory, test/test_quantization.py::TestStaticQuantizedModule::test_conv1d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv1d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_add, test/test_quantization.py::TestStaticQuantizedModule::test_instance_norm, test/test_quantization.py::TestStaticQuantizedModule::test_leaky_relu, test/test_quantization.py::TestStaticQuantizedModule::test_pool_api, test/test_quantization.py::TestStaticQuantizedModule::test_prelu, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_one_sided, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_update_within_range_succeeds, test/test_quantization.py::TestDistributed::test_device_affinity, test/test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_moving_avg_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_fuser_method, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_input_type_to_index, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_simple, test/test_quantization.py::TestUtils::test_quantize_weight_clamping_per_tensor, test/test_quantization.py::TestUtils::test_uint4_int4_dtype, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_custom_module_class, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantwrapper_attaches_qconfig_to_dequant, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_single_layer, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_per_channel_linear_quantize, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_2d, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_numerics, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_symm_numerics, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_mobilenet_v3, test/test_quantization.py::TestEqualizeEager::test_equalize, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_set_observed_to_quantized_mapping, test/test_quantization.py::TestQuantizeFx::test_deepcopy_preserve_attributes, test/test_quantization.py::TestQuantizeFx::test_default_qconfig_mapping_override_global, test/test_quantization.py::TestQuantizeFx::test_linear_tanh_lowering, test/test_quantization.py::TestQuantizeFx::test_non_traceable_module, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_output_quantized_indexes, test/test_quantization.py::TestQuantizeFx::test_prepared_model_deepcopy, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_split_tuple_args, test/test_quantization.py::TestQuantizeFx::test_qat_and_script, test/test_quantization.py::TestQuantizeFx::test_qparams_fqn, test/test_quantization.py::TestQuantizeFx::test_relu_lowering, test/test_quantization.py::TestQuantizeFx::test_sequential, test/test_quantization.py::TestQuantizeFx::test_static_lstm, test/test_quantization.py::TestQuantizeFx::test_static_lstm_with_custom_fixed_qparams, test/test_quantization.py::TestQuantizeFxOps::test_add, test/test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_wrong_qconfig, test/test_quantization.py::TestQuantizeFxOps::test_gelu_reference, test/test_quantization.py::TestQuantizeFxOps::test_general_shape_ops, test/test_quantization.py::TestQuantizeFxOps::test_mul, test/test_quantization.py::TestQuantizeFxOps::test_narrow, test/test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle, test/test_quantization.py::TestQuantizeFxOps::test_ref_pattern_multi_use, test/test_quantization.py::TestQuantizeFxOps::test_reshape_fp16, test/test_quantization.py::TestQuantizeFxModels::test_prepare_serialize_switch_device_convert, test/test_quantization.py::TestQuantizeFxModels::test_qat_embeddingbag_linear, test/test_quantization.py::TestQuantizeFxModels::test_torchvision, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_quantization.py::TestDuplicateDQPass::test_no_need_for_duplicate_dq, test/test_quantization.py::TestNumericDebugger::test_extract_results_from_loggers, test/test_quantization.py::TestNumericDebugger::test_quantize_pt2e_preserve_handle, test/test_quantization.py::TestQuantizePT2E::test_allow_implicit_sharing, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_transform_for_annotation, test/test_quantization.py::TestQuantizePT2E::test_fold_all_ops_before_quantize, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout_inplace, test/test_quantization.py::TestXNNPACKQuantizer::test_add_and_inplace_add, test/test_quantization.py::TestXNNPACKQuantizer::test_add_mul_long, test/test_quantization.py::TestXNNPACKQuantizer::test_add_mul_scalar, test/test_quantization.py::TestXNNPACKQuantizer::test_conv_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_propagate_annotation, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_name, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_type_case_2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_avg_pool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary_unary, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_transpose_bn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_fp16_shadows_fp32, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_coverage, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_fun, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_ops_with_same_fp32_and_int8_signature, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_activations_fqn, test/test_quantization.py::TestFXNumericSuiteNShadows::test_custom_functions_and_tracer, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_end_to_end, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_from_list, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_repr, test/test_quantization.py::TestFxModelReportDetector::test_conv_sub_class_considered, test/test_quantization.py::TestFxModelReportClass::test_generate_visualizer, test/test_quantization.py::TestFxDetectOutliers::test_multiple_run_consistent_spike_outlier_report_gen, test/test_quantization.py::TestFxModelReportVisualizer::test_get_modules_and_features, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_activation_values, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_branching, test/test_quantization.py::TestSerialization::test_linear_dynamic, test/test_quantization.py::TestSerialization::test_linear_relu_package_quantization_transforms, test/test_quantization.py::TestSerialization::test_per_tensor_observer, test/test_quantization.py::TestQuantizeJit::test_conv_bn, test/test_quantization.py::TestQuantizeJit::test_conv_transpose, test/test_quantization.py::TestQuantizeJit::test_single_linear_dynamic, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_complex_cases, test/test_quantization.py::TestQuantizeJitPasses::test_fuse_linear, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_general_ops, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface, test/test_quantization.py::TestQuantizeJitPasses::test_swap_functional_linear, test/test_quantization.py::TestQuantizeJitOps::test_cat_linear, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_alpha, test/test_quantization.py::TestQuantizeJitOps::test_quantized_conv, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_convert_dynamic_fp16, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fuse_modules, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_observer, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_qconfig, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_utils, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_embedding_ops, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_utils, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_no_import_nn_intrinsic_quantized_dynamic, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_equalize, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e8m0fnu 2025-08-26T22:10:44.9633092Z 2025-08-26T22:10:45.8238471Z Running test batch 'tests to run' cost 7999.47 seconds 2025-08-26T22:10:47.0355573Z 2025-08-26T22:10:47.0357293Z real 133m26.200s 2025-08-26T22:10:47.0357631Z user 165m13.143s 2025-08-26T22:10:47.0357870Z sys 23m57.961s 2025-08-26T22:10:47.0358106Z + assert_git_not_dirty 2025-08-26T22:10:47.0369167Z + [[ linux-jammy-py3.9-clang12 != *rocm* ]] 2025-08-26T22:10:47.0369538Z + [[ linux-jammy-py3.9-clang12 != *xla* ]] 2025-08-26T22:10:47.0400278Z ++ git status --porcelain 2025-08-26T22:10:47.0400985Z ++ grep -v '?? third_party' 2025-08-26T22:11:29.6889158Z ++ true 2025-08-26T22:11:29.6932063Z + git_status= 2025-08-26T22:11:29.6932393Z + [[ -n '' ]] 2025-08-26T22:11:29.6933047Z + [[ 1 == 1 ]] 2025-08-26T22:11:29.6933454Z + test_aten 2025-08-26T22:11:29.6938152Z + echo 'Running ATen tests with pytorch lib' 2025-08-26T22:11:29.6938871Z Running ATen tests with pytorch lib 2025-08-26T22:11:29.6939186Z + [[ -n '' ]] 2025-08-26T22:11:29.6939428Z + echo 'Running test with the build folder' 2025-08-26T22:11:29.6939772Z Running test with the build folder 2025-08-26T22:11:29.6940083Z + TEST_BASE_DIR=build/bin 2025-08-26T22:11:29.6945514Z + ln -sf /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libc10.so build/bin 2025-08-26T22:11:29.6983607Z + ln -sf '/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libcaffe2*' build/bin 2025-08-26T22:11:29.6994256Z + ln -sf '/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libmkldnn*' build/bin 2025-08-26T22:11:29.7005188Z + ln -sf '/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libnccl*' build/bin 2025-08-26T22:11:29.7017123Z + ln -sf /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorchbind_test.so build/bin 2025-08-26T22:11:29.7025700Z + ls build/bin 2025-08-26T22:11:29.7086706Z BackoffTest c10_typeid_test 2025-08-26T22:11:29.7087287Z CMakeFiles cmake_install.cmake 2025-08-26T22:11:29.7087941Z CTestTestfile.cmake cpu_allocator_test 2025-08-26T22:11:29.7088546Z CppSignature_test cpu_generator_test 2025-08-26T22:11:29.7089152Z Dict_test cpu_profiling_allocator_test 2025-08-26T22:11:29.7089740Z Dimname_test cpu_rng_test 2025-08-26T22:11:29.7090368Z FileStoreTest dlconvertor_test 2025-08-26T22:11:29.7090938Z HashStoreTest example_allreduce 2025-08-26T22:11:29.7091408Z IListRef_test extension_backend_test 2025-08-26T22:11:29.7091891Z KernelFunction_test half_test 2025-08-26T22:11:29.7092546Z List_test inline_container_test 2025-08-26T22:11:29.7092892Z MaybeOwned_test ivalue_test 2025-08-26T22:11:29.7093258Z NamedTensor_test kernel_function_legacy_test 2025-08-26T22:11:29.7093670Z ProcessGroupGlooTest kernel_function_test 2025-08-26T22:11:29.7094081Z StorageUtils_test kernel_lambda_legacy_test 2025-08-26T22:11:29.7094466Z TCPStoreTest kernel_lambda_test 2025-08-26T22:11:29.7094823Z apply_utils_test kernel_stackbased_test 2025-08-26T22:11:29.7095159Z atest lazy_tensor_test 2025-08-26T22:11:29.7095488Z backend_fallback_test legacy_vmap_test 2025-08-26T22:11:29.7095829Z basic libc10.so 2025-08-26T22:11:29.7096111Z broadcast_test 'libcaffe2*' 2025-08-26T22:11:29.7096435Z c10_AllocatorConfig_test 'libmkldnn*' 2025-08-26T22:11:29.7096768Z c10_ArrayRef_test 'libnccl*' 2025-08-26T22:11:29.7097075Z c10_Bitset_test libtorch.so 2025-08-26T22:11:29.7097450Z c10_CompileTimeFunctionPointer_test libtorch_cpu.so 2025-08-26T22:11:29.7097873Z c10_ConstexprCrc_test libtorch_global_deps.so 2025-08-26T22:11:29.7098290Z c10_DeadlockDetection_test libtorch_python.so 2025-08-26T22:11:29.7098689Z c10_DeviceGuard_test libtorchbind_test.so 2025-08-26T22:11:29.7099207Z c10_Device_test make_boxed_from_unboxed_functor_test 2025-08-26T22:11:29.7099624Z c10_DispatchKeySet_test math_kernel_test 2025-08-26T22:11:29.7099995Z c10_Enumerate_test memory_format_test 2025-08-26T22:11:29.7100360Z c10_Half_test memory_overlapping_test 2025-08-26T22:11:29.7100768Z c10_InlineDeviceGuard_test mobile_memory_cleanup 2025-08-26T22:11:29.7101159Z c10_InlineStreamGuard_test native_test 2025-08-26T22:11:29.7101535Z c10_IntrusiveList_test op_allowlist_test 2025-08-26T22:11:29.7101920Z c10_LeftRight_test op_registration_test 2025-08-26T22:11:29.7102371Z c10_Metaprogramming_test operator_name_test 2025-08-26T22:11:29.7102740Z c10_NetworkFlow_test operators_test 2025-08-26T22:11:29.7103118Z c10_Scalar_test packedtensoraccessor_test 2025-08-26T22:11:29.7103504Z c10_Semaphore_test parallel_benchmark 2025-08-26T22:11:29.7103861Z c10_SizesAndStrides_test pow_test 2025-08-26T22:11:29.7104191Z c10_StreamGuard_test protoc 2025-08-26T22:11:29.7104499Z c10_SymInt_test protoc-3.13.0.0 2025-08-26T22:11:29.7104839Z c10_Synchronized_test quantized_test 2025-08-26T22:11:29.7105192Z c10_ThreadLocal_test reduce_ops_test 2025-08-26T22:11:29.7105563Z c10_TypeIndex_test reportMemoryUsage_test 2025-08-26T22:11:29.7105924Z c10_TypeList_test scalar_tensor_test 2025-08-26T22:11:29.7106267Z c10_TypeTraits_test scalar_test 2025-08-26T22:11:29.7106618Z c10_accumulate_test static_runtime_bench 2025-08-26T22:11:29.7106987Z c10_bfloat16_test static_runtime_test 2025-08-26T22:11:29.7107343Z c10_bit_cast_test stride_properties_test 2025-08-26T22:11:29.7107762Z c10_complex_math_test tensor_iterator_test 2025-08-26T22:11:29.7108117Z c10_complex_test test_api 2025-08-26T22:11:29.7108419Z c10_cow_test test_cpp_rpc 2025-08-26T22:11:29.7108720Z c10_error_test test_dist_autograd 2025-08-26T22:11:29.7109045Z c10_exception_test test_jit 2025-08-26T22:11:29.7109347Z c10_flags_test test_lazy 2025-08-26T22:11:29.7109657Z c10_generic_math_test test_nativert 2025-08-26T22:11:29.7110004Z c10_intrusive_ptr_benchmark test_parallel 2025-08-26T22:11:29.7110749Z c10_intrusive_ptr_test thread_init_test 2025-08-26T22:11:29.7111284Z c10_irange_test torch_shm_manager 2025-08-26T22:11:29.7111774Z c10_lazy_test type_ptr_test 2025-08-26T22:11:29.7112316Z c10_logging_test type_test 2025-08-26T22:11:29.7112808Z c10_optional_test undefined_tensor_test 2025-08-26T22:11:29.7113465Z c10_ordered_preserving_dict_test vec_test_all_types_AVX2 2025-08-26T22:11:29.7114186Z c10_registry_test vec_test_all_types_AVX512 2025-08-26T22:11:29.7114841Z c10_small_vector_test vec_test_all_types_DEFAULT 2025-08-26T22:11:29.7115467Z c10_ssize_test verify_api_visibility 2025-08-26T22:11:29.7115865Z c10_string_util_test weakref_test 2025-08-26T22:11:29.7116204Z c10_string_view_test wrapdim_test 2025-08-26T22:11:29.7116543Z c10_tempfile_test xla_tensor_test 2025-08-26T22:11:29.7116873Z + aten/tools/run_tests.sh build/bin 2025-08-26T22:11:29.7142256Z + set -e 2025-08-26T22:11:29.7145117Z ++ dirname aten/tools/run_tests.sh 2025-08-26T22:11:29.7167744Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-08-26T22:11:29.7168584Z + export CPP_TESTS_DIR=build/bin 2025-08-26T22:11:29.7169010Z + CPP_TESTS_DIR=build/bin 2025-08-26T22:11:29.7169278Z + VALGRIND=ON 2025-08-26T22:11:29.7171092Z + python test/run_test.py --cpp --verbose -i cpp/basic cpp/atest cpp/scalar_test cpp/broadcast_test cpp/wrapdim_test cpp/apply_utils_test cpp/dlconvertor_test cpp/native_test cpp/scalar_tensor_test cpp/undefined_tensor_test cpp/extension_backend_test cpp/lazy_tensor_test cpp/tensor_iterator_test cpp/Dimname_test cpp/Dict_test cpp/NamedTensor_test cpp/cpu_generator_test cpp/legacy_vmap_test cpp/operators_test 2025-08-26T22:11:32.6322215Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:11:32.6323823Z import pkg_resources 2025-08-26T22:11:34.3626556Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-08-26T22:11:34.3795295Z Found test times from artifacts 2025-08-26T22:11:34.4415703Z Found test times from artifacts 2025-08-26T22:11:34.4435403Z Running all tests 2025-08-26T22:11:34.4439919Z Running parallel tests on 3 processes 2025-08-26T22:11:34.4441925Z Name: tests to run (est. time: 0.0min) 2025-08-26T22:11:34.4442256Z Serial tests (0): 2025-08-26T22:11:34.4442494Z Parallel tests (19): 2025-08-26T22:11:34.4442755Z cpp/Dict_test 1/1 2025-08-26T22:11:34.4443011Z cpp/Dimname_test 1/1 2025-08-26T22:11:34.4443296Z cpp/NamedTensor_test 1/1 2025-08-26T22:11:34.4443568Z cpp/apply_utils_test 1/1 2025-08-26T22:11:34.4443848Z cpp/atest 1/1 2025-08-26T22:11:34.4444079Z cpp/basic 1/1 2025-08-26T22:11:34.4444323Z cpp/broadcast_test 1/1 2025-08-26T22:11:34.4444593Z cpp/cpu_generator_test 1/1 2025-08-26T22:11:34.4444886Z cpp/dlconvertor_test 1/1 2025-08-26T22:11:34.4445192Z cpp/extension_backend_test 1/1 2025-08-26T22:11:34.4445499Z cpp/lazy_tensor_test 1/1 2025-08-26T22:11:34.4445782Z cpp/legacy_vmap_test 1/1 2025-08-26T22:11:34.4446062Z cpp/native_test 1/1 2025-08-26T22:11:34.4446320Z cpp/operators_test 1/1 2025-08-26T22:11:34.4446853Z cpp/scalar_tensor_test 1/1 2025-08-26T22:11:34.4447123Z cpp/scalar_test 1/1 2025-08-26T22:11:34.4447622Z cpp/tensor_iterator_test 1/1 2025-08-26T22:11:34.4448016Z cpp/undefined_tensor_test 1/1 2025-08-26T22:11:34.4448325Z cpp/wrapdim_test 1/1 2025-08-26T22:11:34.4448589Z Name: excluded (est. time: 0.0min) 2025-08-26T22:11:34.4448885Z Serial tests (0): 2025-08-26T22:11:34.4449129Z Parallel tests (0): 2025-08-26T22:11:34.4449456Z Running cpp/Dict_test 1/1 ... [2025-08-26 22:11:34.444596] 2025-08-26T22:11:34.4449840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:34.4460794Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d1fe98b2b07022fa.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:34.445846] 2025-08-26T22:11:36.3781639Z 2025-08-26T22:11:36.3782525Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_884bfe220975b4bf_.log 2025-08-26T22:11:36.3783501Z 2025-08-26T22:11:37.1765298Z Uploading artifacts took 0.80 seconds 2025-08-26T22:11:37.1766051Z Running cpp/Dimname_test 1/1 ... [2025-08-26 22:11:37.176355] 2025-08-26T22:11:37.1766473Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:37.1771274Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-40c6e92919130d97.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:37.176882] 2025-08-26T22:11:38.7086053Z 2025-08-26T22:11:38.7087688Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_df010bb69a9843e5_.log 2025-08-26T22:11:38.7088890Z 2025-08-26T22:11:38.7089259Z Running cpp/NamedTensor_test 1/1 ... [2025-08-26 22:11:38.708658] 2025-08-26T22:11:38.7089944Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:38.7096662Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d2f794ac77bb890b.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:38.709300] 2025-08-26T22:11:40.2414064Z 2025-08-26T22:11:40.2415612Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_c151502021e9aafa_.log 2025-08-26T22:11:40.2416892Z 2025-08-26T22:11:40.2417261Z Running cpp/apply_utils_test 1/1 ... [2025-08-26 22:11:40.241435] 2025-08-26T22:11:40.2417944Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:40.2424409Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-55eaa8163a7de447.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:40.242085] 2025-08-26T22:11:41.7739084Z 2025-08-26T22:11:41.7740156Z cpp/apply_utils_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.apply_utils_test_1.1_14965a14a49a4257_.log 2025-08-26T22:11:41.7741015Z 2025-08-26T22:11:41.7741600Z Running cpp/atest 1/1 ... [2025-08-26 22:11:41.773935] 2025-08-26T22:11:41.7742033Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:41.7746960Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-b3218ae906d7fe48.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:41.774451] 2025-08-26T22:11:43.3064572Z 2025-08-26T22:11:43.3065411Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_56e60d71f69ff878_.log 2025-08-26T22:11:43.3066115Z 2025-08-26T22:11:43.3067327Z Running cpp/basic 1/1 ... [2025-08-26 22:11:43.306550] 2025-08-26T22:11:43.3067930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:43.3073666Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-185f821a3ea06a65.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:43.307131] 2025-08-26T22:11:44.8392975Z 2025-08-26T22:11:44.8393868Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_9f7aa2a9d38bd7f0_.log 2025-08-26T22:11:44.8394635Z 2025-08-26T22:11:44.8395161Z Running cpp/broadcast_test 1/1 ... [2025-08-26 22:11:44.839357] 2025-08-26T22:11:44.8395688Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:44.8401420Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-266afbc25ffe43c0.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:44.839886] 2025-08-26T22:11:46.3714429Z 2025-08-26T22:11:46.3715299Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_53b0f4bc600d5c2f_.log 2025-08-26T22:11:46.3716049Z 2025-08-26T22:11:46.3716693Z Running cpp/cpu_generator_test 1/1 ... [2025-08-26 22:11:46.371517] 2025-08-26T22:11:46.3717154Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:46.3722576Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-cff6d5f591772c80.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:46.372035] 2025-08-26T22:11:47.9032742Z 2025-08-26T22:11:47.9033715Z cpp/cpu_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cpu_generator_test_1.1_b1b4b35a3596c500_.log 2025-08-26T22:11:47.9034559Z 2025-08-26T22:11:47.9035138Z Running cpp/dlconvertor_test 1/1 ... [2025-08-26 22:11:47.903300] 2025-08-26T22:11:47.9035627Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:47.9041062Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-e0228f1b82de0871.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:47.903822] 2025-08-26T22:11:49.4352267Z 2025-08-26T22:11:49.4353190Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_30e8dcba4f59537c_.log 2025-08-26T22:11:49.4354133Z 2025-08-26T22:11:49.4354712Z Running cpp/extension_backend_test 1/1 ... [2025-08-26 22:11:49.435254] 2025-08-26T22:11:49.4355225Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:49.4360321Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-efc825f873ef6ea4.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:49.435783] 2025-08-26T22:11:50.9675698Z 2025-08-26T22:11:50.9676733Z cpp/extension_backend_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.extension_backend_test_1.1_105a82b23b613333_.log 2025-08-26T22:11:50.9677477Z 2025-08-26T22:11:50.9677718Z Running cpp/lazy_tensor_test 1/1 ... [2025-08-26 22:11:50.967439] 2025-08-26T22:11:50.9678132Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:50.9682290Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-24416e35eb069931.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:50.967990] 2025-08-26T22:11:52.4999035Z 2025-08-26T22:11:52.5000316Z cpp/lazy_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.lazy_tensor_test_1.1_15edb532d2dc9eb7_.log 2025-08-26T22:11:52.5001724Z 2025-08-26T22:11:52.5001976Z Running cpp/legacy_vmap_test 1/1 ... [2025-08-26 22:11:52.499959] 2025-08-26T22:11:52.5002411Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:52.5007500Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-08be46cef0d938ab.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:52.500483] 2025-08-26T22:11:54.0322560Z 2025-08-26T22:11:54.0323447Z cpp/legacy_vmap_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.legacy_vmap_test_1.1_24e379e996e412c3_.log 2025-08-26T22:11:54.0324256Z 2025-08-26T22:11:54.0324870Z Running cpp/native_test 1/1 ... [2025-08-26 22:11:54.032328] 2025-08-26T22:11:54.0325293Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:54.0330937Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-96016c77f556b5bf.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:54.032855] 2025-08-26T22:11:55.5141345Z 2025-08-26T22:11:55.5142291Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_610ca777b4d25264_.log 2025-08-26T22:11:55.5143154Z 2025-08-26T22:11:55.5143663Z Running cpp/operators_test 1/1 ... [2025-08-26 22:11:55.514197] 2025-08-26T22:11:55.5144090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:55.5149933Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-69c01c178250bf62.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:55.514761] 2025-08-26T22:11:57.0464358Z 2025-08-26T22:11:57.0465247Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_b06792d78970e9ba_.log 2025-08-26T22:11:57.0465953Z 2025-08-26T22:11:57.0466256Z Running cpp/scalar_tensor_test 1/1 ... [2025-08-26 22:11:57.046470] 2025-08-26T22:11:57.0466706Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:57.0472522Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-64b93e37c33a63a2.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:57.046988] 2025-08-26T22:11:58.5785095Z 2025-08-26T22:11:58.5786176Z cpp/scalar_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_tensor_test_1.1_ec89a37c45298404_.log 2025-08-26T22:11:58.5787067Z 2025-08-26T22:11:58.5787598Z Running cpp/scalar_test 1/1 ... [2025-08-26 22:11:58.578567] 2025-08-26T22:11:58.5788297Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:11:58.5793318Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-04384fd051186dc3.xml', '-x', '--reruns=2'] ... [2025-08-26 22:11:58.579080] 2025-08-26T22:12:00.1106255Z 2025-08-26T22:12:00.1107520Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_3f7797189a9ebb5b_.log 2025-08-26T22:12:00.1108699Z 2025-08-26T22:12:00.1109116Z Running cpp/tensor_iterator_test 1/1 ... [2025-08-26 22:12:00.110664] 2025-08-26T22:12:00.1109810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:00.1117476Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2498dbe717089df1.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:00.111362] 2025-08-26T22:12:01.6428335Z 2025-08-26T22:12:01.6429562Z cpp/tensor_iterator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.tensor_iterator_test_1.1_3fa15b1dc9391895_.log 2025-08-26T22:12:01.6430700Z 2025-08-26T22:12:01.6431050Z Running cpp/undefined_tensor_test 1/1 ... [2025-08-26 22:12:01.642858] 2025-08-26T22:12:01.6431507Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:01.6436593Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-156aefb3b0565ef6.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:01.643393] 2025-08-26T22:12:03.1754656Z 2025-08-26T22:12:03.1756017Z cpp/undefined_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.undefined_tensor_test_1.1_f74495a2f40525a7_.log 2025-08-26T22:12:03.1756826Z 2025-08-26T22:12:03.1757044Z Running cpp/wrapdim_test 1/1 ... [2025-08-26 22:12:03.175448] 2025-08-26T22:12:03.1757469Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:03.1763045Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d58e433a7c452d2a.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:03.175953] 2025-08-26T22:12:04.7080146Z 2025-08-26T22:12:04.7081620Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_84fe08394a8c3480_.log 2025-08-26T22:12:04.7082686Z 2025-08-26T22:12:07.7704619Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:07.7707409Z import pkg_resources 2025-08-26T22:12:07.7956517Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:07.7959640Z import pkg_resources 2025-08-26T22:12:07.7994304Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:07.7997231Z import pkg_resources 2025-08-26T22:12:08.0224011Z Running cpp/Dict_test 1/1 ... [2025-08-26 22:12:08.022009] 2025-08-26T22:12:08.0224738Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:08.0229350Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-e18029f6f054cca3.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:08.022567] 2025-08-26T22:12:08.0462868Z Running cpp/Dimname_test 1/1 ... [2025-08-26 22:12:08.045828] 2025-08-26T22:12:08.0463569Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:08.0468328Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2cc80c116be07da1.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:08.046417] 2025-08-26T22:12:08.0493722Z Running cpp/NamedTensor_test 1/1 ... [2025-08-26 22:12:08.049102] 2025-08-26T22:12:08.0494416Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:08.0499748Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-cca5d4c953ca4e1c.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:08.049656] 2025-08-26T22:12:11.3305089Z 2025-08-26T22:12:11.3306422Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_ec6cb871f3f2f90f_.log 2025-08-26T22:12:11.3307533Z 2025-08-26T22:12:12.0340174Z 2025-08-26T22:12:12.0341583Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_9bb81837352d1704_.log 2025-08-26T22:12:12.0342967Z 2025-08-26T22:12:15.9733314Z 2025-08-26T22:12:15.9734187Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_3d18ad51ac38fdfe_.log 2025-08-26T22:12:15.9736796Z 2025-08-26T22:12:16.0270123Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:16.0271707Z import pkg_resources 2025-08-26T22:12:16.2155826Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:16.2158351Z import pkg_resources 2025-08-26T22:12:16.2782542Z Running cpp/apply_utils_test 1/1 ... [2025-08-26 22:12:16.277871] 2025-08-26T22:12:16.2783165Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:16.2788019Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c8675373583288cc.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:16.278445] 2025-08-26T22:12:16.4671310Z Running cpp/atest 1/1 ... [2025-08-26 22:12:16.466744] 2025-08-26T22:12:16.4671874Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:16.4676330Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-ecc4e7b72a4df152.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:16.467270] 2025-08-26T22:12:19.4657127Z 2025-08-26T22:12:19.4658605Z cpp/apply_utils_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.apply_utils_test_1.1_8e005cee3cf55cb5_.log 2025-08-26T22:12:19.4660898Z 2025-08-26T22:12:20.4024447Z 2025-08-26T22:12:20.4025693Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_c819b7a2cf9dccb3_.log 2025-08-26T22:12:20.4026894Z 2025-08-26T22:12:20.6169730Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:20.6172536Z import pkg_resources 2025-08-26T22:12:20.9033116Z Running cpp/basic 1/1 ... [2025-08-26 22:12:20.902743] 2025-08-26T22:12:20.9034094Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:20.9043357Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-b2b8b8eb62c8fb23.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:20.903850] 2025-08-26T22:12:23.5903217Z 2025-08-26T22:12:23.5904772Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_58c7a40003c58dc0_.log 2025-08-26T22:12:23.5906093Z 2025-08-26T22:12:23.9389234Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:23.9391917Z import pkg_resources 2025-08-26T22:12:24.1851736Z Running cpp/broadcast_test 1/1 ... [2025-08-26 22:12:24.184773] 2025-08-26T22:12:24.1852515Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:24.1858112Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-bc9f85f8c07552d9.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:24.185382] 2025-08-26T22:12:24.7126983Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:24.7128656Z import pkg_resources 2025-08-26T22:12:25.1023435Z Running cpp/cpu_generator_test 1/1 ... [2025-08-26 22:12:25.101923] 2025-08-26T22:12:25.1024227Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:25.1030413Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-8bfff032d40c4f2b.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:25.102673] 2025-08-26T22:12:26.5173717Z 2025-08-26T22:12:26.5175147Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_80af1a1852541cb7_.log 2025-08-26T22:12:26.5176391Z 2025-08-26T22:12:27.7489582Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:27.7491298Z import pkg_resources 2025-08-26T22:12:28.1378559Z Running cpp/dlconvertor_test 1/1 ... [2025-08-26 22:12:28.137373] 2025-08-26T22:12:28.1379381Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:28.1384510Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-52a662544bb98733.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:28.138057] 2025-08-26T22:12:29.0905228Z 2025-08-26T22:12:29.0906807Z cpp/cpu_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cpu_generator_test_1.1_977acdb8d164de7a_.log 2025-08-26T22:12:29.0908628Z 2025-08-26T22:12:30.5253344Z 2025-08-26T22:12:30.5254530Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_256db98d8bce9e49_.log 2025-08-26T22:12:30.5255384Z 2025-08-26T22:12:30.9814741Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:30.9817559Z import pkg_resources 2025-08-26T22:12:31.2403528Z Running cpp/extension_backend_test 1/1 ... [2025-08-26 22:12:31.239943] 2025-08-26T22:12:31.2404372Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:31.2410254Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-cf0813d8ca51f3dc.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:31.240561] 2025-08-26T22:12:33.2715254Z 2025-08-26T22:12:33.2716571Z cpp/extension_backend_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.extension_backend_test_1.1_2c61a4b29aa89521_.log 2025-08-26T22:12:33.2717797Z 2025-08-26T22:12:33.5290512Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:33.5293754Z import pkg_resources 2025-08-26T22:12:33.7782634Z Running cpp/lazy_tensor_test 1/1 ... [2025-08-26 22:12:33.777866] 2025-08-26T22:12:33.7783507Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:33.7787533Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-0d1c51fd93442afc.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:33.778398] 2025-08-26T22:12:34.5233301Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:34.5236098Z import pkg_resources 2025-08-26T22:12:34.8589147Z Running cpp/legacy_vmap_test 1/1 ... [2025-08-26 22:12:34.858401] 2025-08-26T22:12:34.8590013Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:34.8595034Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-a369cd38f825b190.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:34.859073] 2025-08-26T22:12:35.8597829Z 2025-08-26T22:12:35.8599241Z cpp/lazy_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.lazy_tensor_test_1.1_b4120003f0e39553_.log 2025-08-26T22:12:35.8600517Z 2025-08-26T22:12:37.8073361Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:37.8074936Z import pkg_resources 2025-08-26T22:12:38.0595093Z Running cpp/native_test 1/1 ... [2025-08-26 22:12:38.059050] 2025-08-26T22:12:38.0595792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:38.0600356Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-49c6dbab79f71f22.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:38.059646] 2025-08-26T22:12:39.8172364Z 2025-08-26T22:12:39.8173878Z cpp/legacy_vmap_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.legacy_vmap_test_1.1_317cdd43d6dcbf76_.log 2025-08-26T22:12:39.8175312Z 2025-08-26T22:12:40.2739418Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:40.2741931Z import pkg_resources 2025-08-26T22:12:40.3922577Z 2025-08-26T22:12:40.3923415Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_98679f435e4e5a17_.log 2025-08-26T22:12:40.3924680Z 2025-08-26T22:12:40.5553182Z Running cpp/operators_test 1/1 ... [2025-08-26 22:12:40.554942] 2025-08-26T22:12:40.5553858Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:40.5558556Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6ee4c19b49abef39.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:40.555486] 2025-08-26T22:12:43.1877365Z 2025-08-26T22:12:43.1878566Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_4242d323e06dbbc2_.log 2025-08-26T22:12:43.1879710Z 2025-08-26T22:12:43.9988001Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:43.9990325Z import pkg_resources 2025-08-26T22:12:44.2465394Z Running cpp/scalar_tensor_test 1/1 ... [2025-08-26 22:12:44.246154] 2025-08-26T22:12:44.2466193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:44.2470543Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-3be135b66185030b.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:44.246661] 2025-08-26T22:12:44.5044932Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:44.5048601Z import pkg_resources 2025-08-26T22:12:44.7717691Z Running cpp/scalar_test 1/1 ... [2025-08-26 22:12:44.771236] 2025-08-26T22:12:44.7718481Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:44.7722369Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-bce395a410b543e9.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:44.771776] 2025-08-26T22:12:46.7782869Z 2025-08-26T22:12:46.7784046Z cpp/scalar_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_tensor_test_1.1_7b0d2c6806c6f6c3_.log 2025-08-26T22:12:46.7785135Z 2025-08-26T22:12:47.4548280Z 2025-08-26T22:12:47.4549227Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_8b51ef00edddd1ff_.log 2025-08-26T22:12:47.4550338Z 2025-08-26T22:12:47.5340256Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:47.5341834Z import pkg_resources 2025-08-26T22:12:47.7843825Z Running cpp/tensor_iterator_test 1/1 ... [2025-08-26 22:12:47.784003] 2025-08-26T22:12:47.7844380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:47.7848405Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-ebf08f8aa29dfef4.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:47.784541] 2025-08-26T22:12:50.8607761Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:50.8611387Z import pkg_resources 2025-08-26T22:12:51.1155006Z Running cpp/undefined_tensor_test 1/1 ... [2025-08-26 22:12:51.115081] 2025-08-26T22:12:51.1156080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:51.1160756Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6215de6bce026995.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:51.115657] 2025-08-26T22:12:51.8211162Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:51.8214085Z import pkg_resources 2025-08-26T22:12:52.1535889Z Running cpp/wrapdim_test 1/1 ... [2025-08-26 22:12:52.153123] 2025-08-26T22:12:52.1536671Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-26T22:12:52.1545033Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-00c4f51a2103c6bf.xml', '-x', '--reruns=2'] ... [2025-08-26 22:12:52.154017] 2025-08-26T22:12:53.9491969Z 2025-08-26T22:12:53.9493384Z cpp/undefined_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.undefined_tensor_test_1.1_31fcb04125c31867_.log 2025-08-26T22:12:53.9499800Z 2025-08-26T22:12:54.6543589Z 2025-08-26T22:12:54.6544877Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_124f9156c090856e_.log 2025-08-26T22:12:54.6546196Z 2025-08-26T22:12:58.1332425Z 2025-08-26T22:12:58.1333907Z cpp/tensor_iterator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.tensor_iterator_test_1.1_23be4236e98ca613_.log 2025-08-26T22:12:58.1335189Z 2025-08-26T22:12:58.3058544Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:58.3061332Z import pkg_resources 2025-08-26T22:12:58.9478486Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-26T22:12:58.9481312Z import pkg_resources 2025-08-26T22:13:00.0115222Z Running test batch 'tests to run' cost 85.57 seconds 2025-08-26T22:13:00.9230495Z + run_if_exists tensor_interop_test 2025-08-26T22:13:00.9231114Z + local test_name=tensor_interop_test 2025-08-26T22:13:00.9231691Z + [[ -x build/bin/tensor_interop_test ]] 2025-08-26T22:13:00.9232354Z + echo 'Warning: tensor_interop_test does not exist.' 2025-08-26T22:13:00.9232982Z Warning: tensor_interop_test does not exist. 2025-08-26T22:13:00.9233563Z + run_if_exists cudnn_test 2025-08-26T22:13:00.9234048Z + local test_name=cudnn_test 2025-08-26T22:13:00.9234512Z + [[ -x build/bin/cudnn_test ]] 2025-08-26T22:13:00.9234967Z + echo 'Warning: cudnn_test does not exist.' 2025-08-26T22:13:00.9235500Z Warning: cudnn_test does not exist. 2025-08-26T22:13:00.9236027Z + run_if_exists cuda_generator_test 2025-08-26T22:13:00.9236528Z + local test_name=cuda_generator_test 2025-08-26T22:13:00.9237025Z + [[ -x build/bin/cuda_generator_test ]] 2025-08-26T22:13:00.9237638Z + echo 'Warning: cuda_generator_test does not exist.' 2025-08-26T22:13:00.9238632Z Warning: cuda_generator_test does not exist. 2025-08-26T22:13:00.9238976Z + run_if_exists apply_test 2025-08-26T22:13:00.9239242Z + local test_name=apply_test 2025-08-26T22:13:00.9239530Z + [[ -x build/bin/apply_test ]] 2025-08-26T22:13:00.9239846Z + echo 'Warning: apply_test does not exist.' 2025-08-26T22:13:00.9240192Z Warning: apply_test does not exist. 2025-08-26T22:13:00.9240487Z + run_if_exists stream_test 2025-08-26T22:13:00.9240771Z + local test_name=stream_test 2025-08-26T22:13:00.9241060Z + [[ -x build/bin/stream_test ]] 2025-08-26T22:13:00.9241377Z + echo 'Warning: stream_test does not exist.' 2025-08-26T22:13:00.9241707Z Warning: stream_test does not exist. 2025-08-26T22:13:00.9242021Z + run_if_exists cuda_half_test 2025-08-26T22:13:00.9242393Z + local test_name=cuda_half_test 2025-08-26T22:13:00.9242693Z + [[ -x build/bin/cuda_half_test ]] 2025-08-26T22:13:00.9243019Z + echo 'Warning: cuda_half_test does not exist.' 2025-08-26T22:13:00.9243386Z Warning: cuda_half_test does not exist. 2025-08-26T22:13:00.9243719Z + run_if_exists cuda_vectorized_test 2025-08-26T22:13:00.9244042Z + local test_name=cuda_vectorized_test 2025-08-26T22:13:00.9244361Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-08-26T22:13:00.9244736Z + echo 'Warning: cuda_vectorized_test does not exist.' 2025-08-26T22:13:00.9245133Z Warning: cuda_vectorized_test does not exist. 2025-08-26T22:13:00.9245486Z + run_if_exists cuda_distributions_test 2025-08-26T22:13:00.9245825Z + local test_name=cuda_distributions_test 2025-08-26T22:13:00.9246162Z + [[ -x build/bin/cuda_distributions_test ]] 2025-08-26T22:13:00.9246555Z + echo 'Warning: cuda_distributions_test does not exist.' 2025-08-26T22:13:00.9246971Z Warning: cuda_distributions_test does not exist. 2025-08-26T22:13:00.9247331Z + run_if_exists cuda_optional_test 2025-08-26T22:13:00.9247715Z + local test_name=cuda_optional_test 2025-08-26T22:13:00.9248041Z + [[ -x build/bin/cuda_optional_test ]] 2025-08-26T22:13:00.9248429Z + echo 'Warning: cuda_optional_test does not exist.' 2025-08-26T22:13:00.9248959Z Warning: cuda_optional_test does not exist. 2025-08-26T22:13:00.9249310Z + run_if_exists cuda_tensor_interop_test 2025-08-26T22:13:00.9249682Z + local test_name=cuda_tensor_interop_test 2025-08-26T22:13:00.9250098Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-08-26T22:13:00.9250573Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-08-26T22:13:00.9251000Z Warning: cuda_tensor_interop_test does not exist. 2025-08-26T22:13:00.9251367Z + run_if_exists cuda_complex_test 2025-08-26T22:13:00.9251677Z + local test_name=cuda_complex_test 2025-08-26T22:13:00.9251986Z + [[ -x build/bin/cuda_complex_test ]] 2025-08-26T22:13:00.9252346Z + echo 'Warning: cuda_complex_test does not exist.' 2025-08-26T22:13:00.9252733Z Warning: cuda_complex_test does not exist. 2025-08-26T22:13:00.9253079Z + run_if_exists cuda_complex_math_test 2025-08-26T22:13:00.9253456Z + local test_name=cuda_complex_math_test 2025-08-26T22:13:00.9253792Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-08-26T22:13:00.9254185Z + echo 'Warning: cuda_complex_math_test does not exist.' 2025-08-26T22:13:00.9254605Z Warning: cuda_complex_math_test does not exist. 2025-08-26T22:13:00.9254960Z + run_if_exists cuda_cub_test 2025-08-26T22:13:00.9255238Z + local test_name=cuda_cub_test 2025-08-26T22:13:00.9255532Z + [[ -x build/bin/cuda_cub_test ]] 2025-08-26T22:13:00.9255860Z + echo 'Warning: cuda_cub_test does not exist.' 2025-08-26T22:13:00.9256306Z Warning: cuda_cub_test does not exist. 2025-08-26T22:13:00.9256620Z + run_if_exists cuda_atomic_ops_test 2025-08-26T22:13:00.9256936Z + local test_name=cuda_atomic_ops_test 2025-08-26T22:13:00.9257263Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-08-26T22:13:00.9257639Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2025-08-26T22:13:00.9258017Z Warning: cuda_atomic_ops_test does not exist. 2025-08-26T22:13:00.9258347Z + '[' ON == ON ']' 2025-08-26T22:13:00.9259046Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-08-26T22:13:00.9536699Z ==35089== Memcheck, a memory error detector 2025-08-26T22:13:00.9537211Z ==35089== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-08-26T22:13:00.9537796Z ==35089== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-08-26T22:13:00.9538328Z ==35089== Command: build/bin/basic --gtest_filter=-*CUDA 2025-08-26T22:13:00.9538693Z ==35089== 2025-08-26T22:13:01.5088539Z ==35089== Warning: set address range perms: large range [0x4a4c000, 0x1a629000) (defined) 2025-08-26T22:13:01.5089246Z ==35089== Warning: set address range perms: large range [0x5c2f000, 0x173f8000) (defined) 2025-08-26T22:13:25.1172064Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-08-26T22:13:25.1455981Z Note: Google Test filter = -*CUDA 2025-08-26T22:13:25.1505308Z [==========] Running 6 tests from 1 test suite. 2025-08-26T22:13:25.1532220Z [----------] Global test environment set-up. 2025-08-26T22:13:25.1601991Z [----------] 6 tests from BasicTest 2025-08-26T22:13:25.1625503Z [ RUN ] BasicTest.BasicTestCPU 2025-08-26T22:13:25.7127106Z hwloc x86 backend cannot work under Valgrind, disabling. 2025-08-26T22:13:25.7127698Z May be reenabled by dumping CPUIDs with hwloc-gather-cpuid 2025-08-26T22:13:25.7128176Z and reloading them under Valgrind with HWLOC_CPUID_PATH. 2025-08-26T22:13:25.7635881Z hwloc x86 backend cannot work under Valgrind, disabling. 2025-08-26T22:13:25.7636588Z May be reenabled by dumping CPUIDs with hwloc-gather-cpuid 2025-08-26T22:13:25.7637047Z and reloading them under Valgrind with HWLOC_CPUID_PATH. 2025-08-26T22:13:25.8351090Z hwloc x86 backend cannot work under Valgrind, disabling. 2025-08-26T22:13:25.8351689Z May be reenabled by dumping CPUIDs with hwloc-gather-cpuid 2025-08-26T22:13:25.8352148Z and reloading them under Valgrind with HWLOC_CPUID_PATH. 2025-08-26T22:13:26.6140544Z 348 ms 2025-08-26T22:13:26.7004752Z 54 ms 2025-08-26T22:13:26.7735199Z 65 ms 2025-08-26T22:13:27.4457290Z [ OK ] BasicTest.BasicTestCPU (2281 ms) 2025-08-26T22:13:27.4648242Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-08-26T22:13:27.6468454Z 98 ms 2025-08-26T22:13:27.6988384Z 46 ms 2025-08-26T22:13:27.7651107Z 64 ms 2025-08-26T22:13:27.8185509Z [ OK ] BasicTest.BasicTestHalfCPU (315 ms) 2025-08-26T22:13:27.8186244Z [ RUN ] BasicTest.FactoryMethodsTest 2025-08-26T22:13:27.8512750Z [ OK ] BasicTest.FactoryMethodsTest (32 ms) 2025-08-26T22:13:27.8513495Z [ RUN ] BasicTest.BasicStdTestCPU 2025-08-26T22:13:28.0054368Z Simple example: called once 2025-08-26T22:13:28.0146437Z throw: call_once will retry 2025-08-26T22:13:28.0621598Z throw: call_once will retry 2025-08-26T22:13:28.0625435Z throw: call_once will retry 2025-08-26T22:13:28.0630969Z Didn't throw, call_once will not attempt again 2025-08-26T22:13:28.0648006Z [ OK ] BasicTest.BasicStdTestCPU (213 ms) 2025-08-26T22:13:28.0648384Z [ RUN ] BasicTest.TestForBlobResizeCPU 2025-08-26T22:13:28.0821113Z [ OK ] BasicTest.TestForBlobResizeCPU (17 ms) 2025-08-26T22:13:28.0821541Z [ RUN ] BasicTest.TestForBlobStridesResizeCPU 2025-08-26T22:13:28.0853458Z [ OK ] BasicTest.TestForBlobStridesResizeCPU (3 ms) 2025-08-26T22:13:28.0874631Z [----------] 6 tests from BasicTest (2923 ms total) 2025-08-26T22:13:28.0874904Z 2025-08-26T22:13:28.0886363Z [----------] Global test environment tear-down 2025-08-26T22:13:28.0914507Z [==========] 6 tests from 1 test suite ran. (2949 ms total) 2025-08-26T22:13:28.0926587Z [ PASSED ] 6 tests. 2025-08-26T22:13:30.0071823Z ==35089== 2025-08-26T22:13:30.0075658Z ==35089== HEAP SUMMARY: 2025-08-26T22:13:30.0076010Z ==35089== in use at exit: 431,628 bytes in 6,391 blocks 2025-08-26T22:13:30.0076544Z ==35089== total heap usage: 649,957 allocs, 643,566 frees, 198,945,773 bytes allocated 2025-08-26T22:13:30.0076999Z ==35089== 2025-08-26T22:13:30.0441296Z ==35089== LEAK SUMMARY: 2025-08-26T22:13:30.0441862Z ==35089== definitely lost: 0 bytes in 0 blocks 2025-08-26T22:13:30.0442244Z ==35089== indirectly lost: 0 bytes in 0 blocks 2025-08-26T22:13:30.0442625Z ==35089== possibly lost: 69,920 bytes in 2 blocks 2025-08-26T22:13:30.0443029Z ==35089== still reachable: 361,708 bytes in 6,389 blocks 2025-08-26T22:13:30.0443422Z ==35089== suppressed: 0 bytes in 0 blocks 2025-08-26T22:13:30.0443875Z ==35089== Rerun with --leak-check=full to see details of leaked memory 2025-08-26T22:13:30.0444282Z ==35089== 2025-08-26T22:13:30.0444606Z ==35089== For lists of detected and suppressed errors, rerun with: -s 2025-08-26T22:13:30.0445125Z ==35089== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2025-08-26T22:13:30.0884919Z + [[ -x build/bin/tensor_interop_test ]] 2025-08-26T22:13:30.0886174Z + [[ -n '' ]] 2025-08-26T22:13:30.0886480Z + assert_git_not_dirty 2025-08-26T22:13:30.0886819Z + [[ linux-jammy-py3.9-clang12 != *rocm* ]] 2025-08-26T22:13:30.0887254Z + [[ linux-jammy-py3.9-clang12 != *xla* ]] 2025-08-26T22:13:30.0893436Z ++ git status --porcelain 2025-08-26T22:13:30.0894178Z ++ grep -v '?? third_party' 2025-08-26T22:13:30.3505169Z ++ true 2025-08-26T22:13:30.3505606Z + git_status= 2025-08-26T22:13:30.3506047Z + [[ -n '' ]] 2025-08-26T22:13:30.3556996Z + sccache_epilogue 2025-08-26T22:13:30.3557390Z + echo '::group::Sccache Compilation Log' 2025-08-26T22:13:30.3558193Z ##[group]Sccache Compilation Log 2025-08-26T22:13:30.3558557Z + echo '=================== sccache compilation log ===================' 2025-08-26T22:13:30.3558976Z =================== sccache compilation log =================== 2025-08-26T22:13:30.3559612Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-08-26T22:13:30.3683481Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-08-26T22:13:30.3684189Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-08-26T22:13:30.3684699Z + sccache --show-stats 2025-08-26T22:13:30.3721600Z Compile requests 1877 2025-08-26T22:13:30.3721978Z Compile requests executed 117 2025-08-26T22:13:30.3722308Z Cache hits 79 2025-08-26T22:13:30.3722610Z Cache hits (C/C++) 79 2025-08-26T22:13:30.3723093Z Cache misses 37 2025-08-26T22:13:30.3723414Z Cache misses (C/C++) 37 2025-08-26T22:13:30.3723735Z Cache hits rate 68.10 % 2025-08-26T22:13:30.3724050Z Cache hits rate (C/C++) 68.10 % 2025-08-26T22:13:30.3724501Z Cache timeouts 0 2025-08-26T22:13:30.3724854Z Cache read errors 0 2025-08-26T22:13:30.3725200Z Forced recaches 0 2025-08-26T22:13:30.3725531Z Cache write errors 0 2025-08-26T22:13:30.3725963Z Cache errors 0 2025-08-26T22:13:30.3726277Z Compilations 37 2025-08-26T22:13:30.3726611Z Compilation failures 1 2025-08-26T22:13:30.3726936Z Non-cacheable compilations 0 2025-08-26T22:13:30.3727268Z Non-cacheable calls 3 2025-08-26T22:13:30.3727675Z Non-compilation calls 1757 2025-08-26T22:13:30.3728014Z Unsupported compiler calls 0 2025-08-26T22:13:30.3728344Z Average cache write 0.052 s 2025-08-26T22:13:30.3728682Z Average compiler 12.838 s 2025-08-26T22:13:30.3729016Z Average cache read hit 0.074 s 2025-08-26T22:13:30.3729360Z Failed distributed compilations 0 2025-08-26T22:13:30.3729588Z 2025-08-26T22:13:30.3729702Z Non-cacheable reasons: 2025-08-26T22:13:30.3729951Z -E 3 2025-08-26T22:13:30.3730180Z 2025-08-26T22:13:30.3730414Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-08-26T22:13:30.3730882Z Version (client) 0.10.0 2025-08-26T22:13:30.3731269Z + sccache --stop-server 2025-08-26T22:13:30.3743532Z Stopping sccache server... 2025-08-26T22:13:30.3746237Z Compile requests 1877 2025-08-26T22:13:30.3746645Z Compile requests executed 117 2025-08-26T22:13:30.3746973Z Cache hits 79 2025-08-26T22:13:30.3747295Z Cache hits (C/C++) 79 2025-08-26T22:13:30.3747596Z Cache misses 37 2025-08-26T22:13:30.3747905Z Cache misses (C/C++) 37 2025-08-26T22:13:30.3748221Z Cache hits rate 68.10 % 2025-08-26T22:13:30.3748551Z Cache hits rate (C/C++) 68.10 % 2025-08-26T22:13:30.3748865Z Cache timeouts 0 2025-08-26T22:13:30.3749216Z Cache read errors 0 2025-08-26T22:13:30.3749783Z Forced recaches 0 2025-08-26T22:13:30.3750293Z Cache write errors 0 2025-08-26T22:13:30.3750781Z Cache errors 0 2025-08-26T22:13:30.3751165Z Compilations 37 2025-08-26T22:13:30.3751485Z Compilation failures 1 2025-08-26T22:13:30.3751818Z Non-cacheable compilations 0 2025-08-26T22:13:30.3752136Z Non-cacheable calls 3 2025-08-26T22:13:30.3752460Z Non-compilation calls 1757 2025-08-26T22:13:30.3752797Z Unsupported compiler calls 0 2025-08-26T22:13:30.3753157Z Average cache write 0.052 s 2025-08-26T22:13:30.3753481Z Average compiler 12.838 s 2025-08-26T22:13:30.3753817Z Average cache read hit 0.074 s 2025-08-26T22:13:30.3754157Z Failed distributed compilations 0 2025-08-26T22:13:30.3754403Z 2025-08-26T22:13:30.3754502Z Non-cacheable reasons: 2025-08-26T22:13:30.3754770Z -E 3 2025-08-26T22:13:30.3754974Z 2025-08-26T22:13:30.3755220Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-08-26T22:13:30.3755678Z Version (client) 0.10.0 2025-08-26T22:13:30.3756016Z + echo ::endgroup:: 2025-08-26T22:13:30.3756502Z ##[endgroup] 2025-08-26T22:13:30.3756733Z + cleanup_workspace 2025-08-26T22:13:30.3757243Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-08-26T22:13:30.3758118Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-08-26T22:13:30.3758746Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-08-26T22:13:30.3759226Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-08-26T22:13:30.3759785Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-08-26T22:13:30.3760402Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-08-26T22:13:30.3760886Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-08-26T22:13:33.2757575Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-08-26T22:13:33.2758082Z with: 2025-08-26T22:13:33.2758327Z benchmark-results-dir: test/test-reports 2025-08-26T22:13:33.2758656Z dry-run: false 2025-08-26T22:13:33.2758900Z schema-version: v3 2025-08-26T22:13:33.2759380Z github-token: *** 2025-08-26T22:13:33.2759626Z env: 2025-08-26T22:13:33.2759835Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:33.2760310Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:33.2760820Z ##[endgroup] 2025-08-26T22:13:33.2788815Z ##[group]Run set -eux 2025-08-26T22:13:33.2789108Z set -eux 2025-08-26T22:13:33.2789480Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-26T22:13:33.2789924Z  2025-08-26T22:13:33.2790153Z DEVICE_NAME="" 2025-08-26T22:13:33.2790411Z DEVICE_TYPE="" 2025-08-26T22:13:33.2790671Z  2025-08-26T22:13:33.2790965Z if command -v nvidia-smi; then 2025-08-26T22:13:33.2791414Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-08-26T22:13:33.2792125Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-08-26T22:13:33.2792686Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-08-26T22:13:33.2793137Z  python3 -mpip install torch==2.7.1 2025-08-26T22:13:33.2793499Z elif command -v rocminfo; then 2025-08-26T22:13:33.2793945Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-08-26T22:13:33.2794529Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-08-26T22:13:33.2795109Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-08-26T22:13:33.2795624Z  # GPU device name coming from rocminfo instead 2025-08-26T22:13:33.2796003Z  DEVICE_NAME=rocm 2025-08-26T22:13:33.2796492Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-08-26T22:13:33.2797026Z fi 2025-08-26T22:13:33.2797246Z  2025-08-26T22:13:33.2797524Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-08-26T22:13:33.2797939Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-26T22:13:33.2994577Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:33.2994991Z env: 2025-08-26T22:13:33.2995224Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:33.2995695Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:33.2996188Z ##[endgroup] 2025-08-26T22:13:33.3033208Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-26T22:13:33.7162668Z Defaulting to user installation because normal site-packages is not writeable 2025-08-26T22:13:34.8097824Z Collecting boto3==1.35.33 2025-08-26T22:13:34.8302719Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-26T22:13:35.1424421Z Collecting psutil==7.0.0 2025-08-26T22:13:35.1459513Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-08-26T22:13:35.1695844Z Collecting pynvml==12.0.0 2025-08-26T22:13:35.1732322Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-26T22:13:35.1800114Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-08-26T22:13:35.2184104Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-26T22:13:35.2217042Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-26T22:13:36.3535402Z Collecting botocore<1.36.0,>=1.35.33 2025-08-26T22:13:36.3568316Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-26T22:13:36.5595249Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-26T22:13:36.5632228Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-26T22:13:36.5766423Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-08-26T22:13:36.5772504Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-08-26T22:13:36.7182847Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-08-26T22:13:36.8693556Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-26T22:13:37.3862504Z Attempting uninstall: nvidia-ml-py 2025-08-26T22:13:37.3863944Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-26T22:13:37.3884375Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-26T22:13:37.4209140Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-26T22:13:37.4826674Z Attempting uninstall: psutil 2025-08-26T22:13:37.4827565Z Found existing installation: psutil 5.9.8 2025-08-26T22:13:37.4904556Z Uninstalling psutil-5.9.8: 2025-08-26T22:13:37.4911221Z Successfully uninstalled psutil-5.9.8 2025-08-26T22:13:37.6625377Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-08-26T22:13:37.8001485Z + DEVICE_NAME= 2025-08-26T22:13:37.8001924Z + DEVICE_TYPE= 2025-08-26T22:13:37.8002390Z + command -v nvidia-smi 2025-08-26T22:13:37.8002869Z + command -v rocminfo 2025-08-26T22:13:37.8003320Z + echo DEVICE_NAME= 2025-08-26T22:13:37.8003560Z + echo DEVICE_TYPE= 2025-08-26T22:13:37.8029229Z ##[group]Run set -eux 2025-08-26T22:13:37.8029519Z set -eux 2025-08-26T22:13:37.8029741Z  2025-08-26T22:13:37.8029996Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-26T22:13:37.8030366Z  echo "Missing github-token input" 2025-08-26T22:13:37.8030701Z  exit 1 2025-08-26T22:13:37.8030946Z fi 2025-08-26T22:13:37.8036995Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:37.8037402Z env: 2025-08-26T22:13:37.8037632Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:37.8038097Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:37.8038609Z DEVICE_NAME: 2025-08-26T22:13:37.8038847Z DEVICE_TYPE: 2025-08-26T22:13:37.8039309Z GITHUB_TOKEN: *** 2025-08-26T22:13:37.8039555Z ##[endgroup] 2025-08-26T22:13:37.8066039Z + [[ -z *** ]] 2025-08-26T22:13:37.8125905Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-26T22:13:37.8126351Z with: 2025-08-26T22:13:37.8126736Z github-token: *** 2025-08-26T22:13:37.8126955Z env: 2025-08-26T22:13:37.8127170Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:37.8127742Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:37.8128253Z DEVICE_NAME: 2025-08-26T22:13:37.8128467Z DEVICE_TYPE: 2025-08-26T22:13:37.8128712Z ##[endgroup] 2025-08-26T22:13:37.8148326Z ##[group]Run set -eux 2025-08-26T22:13:37.8148623Z set -eux 2025-08-26T22:13:37.8148861Z  2025-08-26T22:13:37.8149343Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-26T22:13:37.8155053Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:37.8155439Z env: 2025-08-26T22:13:37.8155658Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:37.8156148Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:37.8156643Z DEVICE_NAME: 2025-08-26T22:13:37.8156875Z DEVICE_TYPE: 2025-08-26T22:13:37.8157263Z GITHUB_TOKEN: *** 2025-08-26T22:13:37.8157503Z ##[endgroup] 2025-08-26T22:13:37.8180304Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17248463620 i-0267e2d938a1efbdc 2025-08-26T22:13:40.5445057Z setting job-id=48945287514 2025-08-26T22:13:40.5445637Z setting job-name=linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) 2025-08-26T22:13:40.5561727Z ##[group]Run set -eux 2025-08-26T22:13:40.5562019Z set -eux 2025-08-26T22:13:40.5562250Z  2025-08-26T22:13:40.5562651Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-26T22:13:40.5563177Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-26T22:13:40.5563541Z  --repo "${REPO}" \ 2025-08-26T22:13:40.5563851Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-26T22:13:40.5564191Z  --head-sha "${HEAD_SHA}" \ 2025-08-26T22:13:40.5564528Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-26T22:13:40.5564898Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-26T22:13:40.5565231Z  --job-id "${JOB_ID}" \ 2025-08-26T22:13:40.5565540Z  --job-name "${JOB_NAME}" 2025-08-26T22:13:40.5571237Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:40.5571644Z env: 2025-08-26T22:13:40.5571971Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:40.5572445Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:40.5572944Z DEVICE_NAME: 2025-08-26T22:13:40.5573178Z DEVICE_TYPE: 2025-08-26T22:13:40.5573412Z SCHEMA_VERSION: v3 2025-08-26T22:13:40.5573670Z REPO: pytorch/pytorch 2025-08-26T22:13:40.5573927Z HEAD_BRANCH: refs/heads/main 2025-08-26T22:13:40.5574252Z HEAD_SHA: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T22:13:40.5574605Z WORKFLOW_RUN_ID: 17248463620 2025-08-26T22:13:40.5574881Z RUN_ATTEMPT: 1 2025-08-26T22:13:40.5575105Z JOB_ID: 48945287514 2025-08-26T22:13:40.5575534Z JOB_NAME: linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) 2025-08-26T22:13:40.5576027Z ##[endgroup] 2025-08-26T22:13:40.5604266Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 262640fd220236042fbf4443cc163c8838c84c3d --workflow-id 17248463620 --run-attempt 1 --job-id 48945287514 --job-name 'linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge)' 2025-08-26T22:13:40.5922516Z ##[group]Run set -eux 2025-08-26T22:13:40.5922805Z set -eux 2025-08-26T22:13:40.5923038Z  2025-08-26T22:13:40.5923429Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-26T22:13:40.5929183Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:40.5929576Z env: 2025-08-26T22:13:40.5929798Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:40.5930272Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:40.5930766Z DEVICE_NAME: 2025-08-26T22:13:40.5930995Z DEVICE_TYPE: 2025-08-26T22:13:40.5931241Z ##[endgroup] 2025-08-26T22:13:40.5954772Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-26T22:13:40.6357021Z INFO:root:Fail to import torch to get the device name 2025-08-26T22:13:40.6460243Z ##[group]Run set -eux 2025-08-26T22:13:40.6460525Z set -eux 2025-08-26T22:13:40.6460753Z  2025-08-26T22:13:40.6460994Z # TODO (huydhn): Implement this part 2025-08-26T22:13:40.6461387Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-26T22:13:40.6466914Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:40.6467299Z env: 2025-08-26T22:13:40.6467508Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:40.6467977Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:40.6468479Z DEVICE_NAME: 2025-08-26T22:13:40.6468705Z DEVICE_TYPE: 2025-08-26T22:13:40.6469092Z ##[endgroup] 2025-08-26T22:13:40.6490564Z + echo 'dependencies={}' 2025-08-26T22:13:40.6514288Z ##[group]Run set -eux 2025-08-26T22:13:40.6514584Z set -eux 2025-08-26T22:13:40.6514820Z  2025-08-26T22:13:40.6515092Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-26T22:13:40.6515550Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-26T22:13:40.6516042Z  # We don't want the job to fail if the directory doesn't exist 2025-08-26T22:13:40.6516443Z  exit 0 2025-08-26T22:13:40.6516672Z fi 2025-08-26T22:13:40.6516891Z  2025-08-26T22:13:40.6517120Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-26T22:13:40.6517609Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-26T22:13:40.6518188Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-26T22:13:40.6518633Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-26T22:13:40.6519010Z  --runners "${RUNNER_INFO}" \ 2025-08-26T22:13:40.6519364Z  --dependencies "${DEPENDENCIES}" \ 2025-08-26T22:13:40.6519786Z  --dry-run 2025-08-26T22:13:40.6520043Z else 2025-08-26T22:13:40.6520435Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-26T22:13:40.6520991Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-26T22:13:40.6521435Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-26T22:13:40.6521804Z  --runners "${RUNNER_INFO}" \ 2025-08-26T22:13:40.6522162Z  --dependencies "${DEPENDENCIES}" 2025-08-26T22:13:40.6522490Z fi 2025-08-26T22:13:40.6527695Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:40.6528082Z env: 2025-08-26T22:13:40.6528305Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:40.6528778Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:40.6529295Z DEVICE_NAME: 2025-08-26T22:13:40.6529549Z DEVICE_TYPE: 2025-08-26T22:13:40.6529800Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-26T22:13:40.6530131Z DRY_RUN: false 2025-08-26T22:13:40.6531474Z BENCHMARK_METADATA: {"timestamp": 1756246420, "schema_version": "v3", "name": "linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463620, "run_attempt": 1, "job_id": 48945287514} 2025-08-26T22:13:40.6533226Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-1-43-215.ec2.internal"}, "name": "", "type": ""}] 2025-08-26T22:13:40.6533891Z DEPENDENCIES: {} 2025-08-26T22:13:40.6534137Z ##[endgroup] 2025-08-26T22:13:40.6556292Z + [[ ! -d test/test-reports ]] 2025-08-26T22:13:40.6556840Z + [[ false == \t\r\u\e ]] 2025-08-26T22:13:40.6560473Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1756246420, "schema_version": "v3", "name": "linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463620, "run_attempt": 1, "job_id": 48945287514}' --runners '[{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-1-43-215.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-26T22:13:40.8720431Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'dynamo/test_utils'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'test_autograd'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'test_type_hints'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_jit'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'test_overrides'}, {'test_file': 'test_content_store'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_reductions'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'test_nn'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'test_indexing'}, {'test_file': 'test_type_promotion'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'doctests'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 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'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'test_logging'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_subclass'}, {'test_file': 'test_itt'}, {'test_file': 'torch_np/numpy_tests/core/test_multiarray'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'test_masked'}, {'test_file': 'test_monitor'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_autocast'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'functorch/test_memory_efficient_fusion'}, {'test_file': 'test_import_stats'}, {'test_file': 'test_tensorboard'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'test_public_bindings'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_functional_optim'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'test_futures'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_linalg'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'optim/test_optim'}, {'test_file': 'test_native_mha'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'test_vulkan'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_shape_ops'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_type_info'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'test_serialization'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_view_ops'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'test_mkldnn'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'nn/test_init'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'test_accelerator'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'test_function_schema'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'test_sparse'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_quantization'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_prims'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-74d0f6d303678e5994e3.json is not a benchmark record, skipping 2025-08-26T22:13:40.8768220Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-26T22:13:40.8772125Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/Dict_test'}, {'test_file': 'cpp/Dimname_test'}, {'test_file': 'cpp/NamedTensor_test'}, {'test_file': 'cpp/apply_utils_test'}, {'test_file': 'cpp/atest'}, {'test_file': 'cpp/basic'}, {'test_file': 'cpp/broadcast_test'}, {'test_file': 'cpp/cpu_generator_test'}, {'test_file': 'cpp/dlconvertor_test'}, {'test_file': 'cpp/extension_backend_test'}, {'test_file': 'cpp/lazy_tensor_test'}, {'test_file': 'cpp/legacy_vmap_test'}, {'test_file': 'cpp/native_test'}, {'test_file': 'cpp/operators_test'}, {'test_file': 'cpp/scalar_tensor_test'}, {'test_file': 'cpp/scalar_test'}, {'test_file': 'cpp/tensor_iterator_test'}, {'test_file': 'cpp/undefined_tensor_test'}, {'test_file': 'cpp/wrapdim_test'}], 'excluded': []} from test/test-reports/td_exclusions-6a1d0fd0172802f61213.json is not a benchmark record, skipping 2025-08-26T22:13:40.8775970Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-26T22:13:40.8944173Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-26T22:13:40.8944581Z cat test/**/*_toprint.log || true 2025-08-26T22:13:40.8950500Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:40.8950892Z env: 2025-08-26T22:13:40.8951113Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:40.8951587Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:40.8952083Z DEVICE_NAME: 2025-08-26T22:13:40.8952329Z DEVICE_TYPE: 2025-08-26T22:13:40.8952555Z ##[endgroup] 2025-08-26T22:13:40.9033187Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-26T22:13:40.9062561Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-26T22:13:40.9062937Z kill "$MONITOR_SCRIPT_PID" 2025-08-26T22:13:40.9068133Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:40.9068522Z env: 2025-08-26T22:13:40.9068749Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:40.9069218Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:40.9069712Z DEVICE_NAME: 2025-08-26T22:13:40.9069943Z DEVICE_TYPE: 2025-08-26T22:13:40.9070186Z MONITOR_SCRIPT_PID: 41813 2025-08-26T22:13:40.9070458Z ##[endgroup] 2025-08-26T22:13:40.9240262Z Prepare all required actions 2025-08-26T22:13:40.9240849Z Getting action download info 2025-08-26T22:13:41.0622060Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-26T22:13:41.2579234Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-26T22:13:41.6063030Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-26T22:13:41.6063403Z with: 2025-08-26T22:13:41.6063747Z file-suffix: test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514 2025-08-26T22:13:41.6064189Z s3-bucket: gha-artifacts 2025-08-26T22:13:41.6064454Z env: 2025-08-26T22:13:41.6064654Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:41.6065123Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:41.6065635Z DEVICE_NAME: 2025-08-26T22:13:41.6065864Z DEVICE_TYPE: 2025-08-26T22:13:41.6066077Z ##[endgroup] 2025-08-26T22:13:41.6095556Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-26T22:13:41.6096027Z # Remove any previous test jsons if they exist 2025-08-26T22:13:41.6096393Z rm -f test-jsons-*.zip 2025-08-26T22:13:41.6096837Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-26T22:13:41.6102533Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:41.6102913Z env: 2025-08-26T22:13:41.6103119Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:41.6103585Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:41.6104091Z DEVICE_NAME: 2025-08-26T22:13:41.6104316Z DEVICE_TYPE: 2025-08-26T22:13:41.6104659Z FILE_SUFFIX: test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514 2025-08-26T22:13:41.6105062Z ##[endgroup] 2025-08-26T22:13:41.6233639Z adding: test/test-reports/td_exclusions-74d0f6d303678e5994e3.json (deflated 81%) 2025-08-26T22:13:41.6234496Z adding: test/test-reports/td_exclusions-6a1d0fd0172802f61213.json (deflated 73%) 2025-08-26T22:13:41.6263292Z ##[group]Run # Remove any previous test reports if they exist 2025-08-26T22:13:41.6263947Z # Remove any previous test reports if they exist 2025-08-26T22:13:41.6264669Z rm -f test-reports-*.zip 2025-08-26T22:13:41.6265362Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-08-26T22:13:41.6273260Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:41.6273793Z env: 2025-08-26T22:13:41.6274073Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:41.6274915Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:41.6275425Z DEVICE_NAME: 2025-08-26T22:13:41.6275657Z DEVICE_TYPE: 2025-08-26T22:13:41.6275992Z FILE_SUFFIX: test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514 2025-08-26T22:13:41.6276410Z ##[endgroup] 2025-08-26T22:13:41.6373720Z adding: test/test-reports/python-pytest/test_overrides/test_overrides-80c6bdfcc95ad6ae.xml (deflated 96%) 2025-08-26T22:13:41.6445849Z adding: test/test-reports/python-pytest/test_reductions/test_reductions-7b9d3b76763d6a68.xml (deflated 97%) 2025-08-26T22:13:41.6446946Z adding: test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-c6506d17aa5d5687.xml (deflated 81%) 2025-08-26T22:13:41.6478349Z adding: test/test-reports/python-pytest/test_nn/test_nn-2c687aa8b587729e.xml (deflated 95%) 2025-08-26T22:13:41.6507203Z adding: test/test-reports/python-pytest/test_nn/test_nn-56bd61a555f63832.xml (deflated 94%) 2025-08-26T22:13:41.6508282Z adding: test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-18e4fcf0d8ba7b86.xml (deflated 46%) 2025-08-26T22:13:41.6642565Z adding: test/test-reports/python-pytest/test_utils/test_utils-7a33bd75443d19b7.xml (deflated 98%) 2025-08-26T22:13:41.6672520Z adding: test/test-reports/python-pytest/test_fx/test_fx-0b85a7572d1746fa.xml (deflated 96%) 2025-08-26T22:13:41.6673512Z adding: test/test-reports/python-pytest/test_transformers_privateuse1/test_transformers_privateuse1-bca3a33392a86eca.xml (deflated 69%) 2025-08-26T22:13:41.6692853Z adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-b877d2ab2ee0d510.xml (deflated 98%) 2025-08-26T22:13:41.6693923Z adding: test/test-reports/python-pytest/test_extension_utils/test_extension_utils-2cabb1a03f4b3b6c.xml (deflated 52%) 2025-08-26T22:13:41.6695356Z adding: test/test-reports/python-pytest/test_openreg/test_openreg-b8ccd8867b4828cc.xml (deflated 86%) 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2025-08-26T22:13:41.7685279Z adding: test/test-reports/cpp.extension_backend_test_1.1_2c61a4b29aa89521_.log (deflated 72%) 2025-08-26T22:13:41.7686007Z adding: test/test-reports/cpp.scalar_tensor_test_1.1_7b0d2c6806c6f6c3_.log (deflated 74%) 2025-08-26T22:13:41.7686711Z adding: test/test-reports/cpp.lazy_tensor_test_1.1_b4120003f0e39553_.log (deflated 72%) 2025-08-26T22:13:41.7687497Z adding: test/test-reports/cpp.legacy_vmap_test_1.1_317cdd43d6dcbf76_.log (deflated 82%) 2025-08-26T22:13:41.7688186Z adding: test/test-reports/cpp.native_test_1.1_98679f435e4e5a17_.log (deflated 72%) 2025-08-26T22:13:41.7688863Z adding: test/test-reports/cpp.operators_test_1.1_4242d323e06dbbc2_.log (deflated 73%) 2025-08-26T22:13:41.7689532Z adding: test/test-reports/cpp.scalar_test_1.1_8b51ef00edddd1ff_.log (deflated 73%) 2025-08-26T22:13:41.7717022Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-26T22:13:41.7717563Z # Remove any previous debugging artifacts if they exist 2025-08-26T22:13:41.7717985Z rm -f debug-*.zip 2025-08-26T22:13:41.7718277Z if [ -d 'test/debug' ]; then 2025-08-26T22:13:41.7718643Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-26T22:13:41.7718982Z fi 2025-08-26T22:13:41.7724423Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:41.7724812Z env: 2025-08-26T22:13:41.7725034Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:41.7725503Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:41.7726007Z DEVICE_NAME: 2025-08-26T22:13:41.7726234Z DEVICE_TYPE: 2025-08-26T22:13:41.7726580Z FILE_SUFFIX: test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514 2025-08-26T22:13:41.7726981Z ##[endgroup] 2025-08-26T22:13:41.7806105Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-26T22:13:41.7806471Z with: 2025-08-26T22:13:41.7806689Z s3-bucket: gha-artifacts 2025-08-26T22:13:41.7807024Z s3-prefix: pytorch/pytorch/17248463620/1/artifact 2025-08-26T22:13:41.7807488Z retention-days: 14 2025-08-26T22:13:41.7807761Z if-no-files-found: warn 2025-08-26T22:13:41.7808029Z path: test-jsons-*.zip 2025-08-26T22:13:41.7808298Z name: artifact 2025-08-26T22:13:41.7808540Z region: us-east-1 2025-08-26T22:13:41.7808772Z env: 2025-08-26T22:13:41.7808973Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:41.7809441Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:41.7809948Z DEVICE_NAME: 2025-08-26T22:13:41.7810398Z DEVICE_TYPE: 2025-08-26T22:13:41.7810618Z ##[endgroup] 2025-08-26T22:13:42.2101776Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-26T22:13:42.2102532Z With the provided path, there will be 1 file uploaded 2025-08-26T22:13:42.2103017Z Uploading to s3 prefix: pytorch/pytorch/17248463620/1/artifact 2025-08-26T22:13:42.2227958Z Starting upload of test-jsons-test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514.zip 2025-08-26T22:13:42.3535097Z Finished upload of test-jsons-test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514.zip 2025-08-26T22:13:42.3728823Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-26T22:13:42.3729176Z with: 2025-08-26T22:13:42.3729413Z s3-bucket: gha-artifacts 2025-08-26T22:13:42.3729749Z s3-prefix: pytorch/pytorch/17248463620/1/artifact 2025-08-26T22:13:42.3730099Z retention-days: 14 2025-08-26T22:13:42.3730366Z if-no-files-found: error 2025-08-26T22:13:42.3730654Z path: test-reports-*.zip 2025-08-26T22:13:42.3730931Z name: artifact 2025-08-26T22:13:42.3731312Z region: us-east-1 2025-08-26T22:13:42.3731557Z env: 2025-08-26T22:13:42.3731775Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:42.3732250Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:42.3732811Z DEVICE_NAME: 2025-08-26T22:13:42.3733046Z DEVICE_TYPE: 2025-08-26T22:13:42.3733276Z ##[endgroup] 2025-08-26T22:13:42.7011916Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-26T22:13:42.7012422Z With the provided path, there will be 1 file uploaded 2025-08-26T22:13:42.7012880Z Uploading to s3 prefix: pytorch/pytorch/17248463620/1/artifact 2025-08-26T22:13:42.7051999Z Starting upload of test-reports-test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514.zip 2025-08-26T22:13:42.8682649Z Finished upload of test-reports-test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514.zip 2025-08-26T22:13:42.8877015Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-26T22:13:42.8877366Z with: 2025-08-26T22:13:42.8877604Z s3-bucket: gha-artifacts 2025-08-26T22:13:42.8877936Z s3-prefix: pytorch/pytorch/17248463620/1/artifact 2025-08-26T22:13:42.8878299Z retention-days: 14 2025-08-26T22:13:42.8878561Z if-no-files-found: ignore 2025-08-26T22:13:42.8878832Z path: logs-*.zip 2025-08-26T22:13:42.8879070Z name: artifact 2025-08-26T22:13:42.8879425Z region: us-east-1 2025-08-26T22:13:42.8879651Z env: 2025-08-26T22:13:42.8879878Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:42.8880352Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:42.8880866Z DEVICE_NAME: 2025-08-26T22:13:42.8881098Z DEVICE_TYPE: 2025-08-26T22:13:42.8881313Z ##[endgroup] 2025-08-26T22:13:43.2135961Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-26T22:13:43.2136458Z With the provided path, there will be 1 file uploaded 2025-08-26T22:13:43.2136911Z Uploading to s3 prefix: pytorch/pytorch/17248463620/1/artifact 2025-08-26T22:13:43.2176378Z Starting upload of logs-test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514.zip 2025-08-26T22:13:43.3645783Z Finished upload of logs-test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514.zip 2025-08-26T22:13:43.3843391Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-26T22:13:43.3843769Z with: 2025-08-26T22:13:43.3843983Z s3-bucket: gha-artifacts 2025-08-26T22:13:43.3844327Z s3-prefix: pytorch/pytorch/17248463620/1/artifact 2025-08-26T22:13:43.3844692Z retention-days: 14 2025-08-26T22:13:43.3844954Z if-no-files-found: ignore 2025-08-26T22:13:43.3845219Z path: debug-*.zip 2025-08-26T22:13:43.3845459Z name: artifact 2025-08-26T22:13:43.3845696Z region: us-east-1 2025-08-26T22:13:43.3845919Z env: 2025-08-26T22:13:43.3846140Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:43.3846614Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:43.3847120Z DEVICE_NAME: 2025-08-26T22:13:43.3847460Z DEVICE_TYPE: 2025-08-26T22:13:43.3847679Z ##[endgroup] 2025-08-26T22:13:43.7061315Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-26T22:13:43.7281049Z ##[group]Run # shellcheck disable=SC2156 2025-08-26T22:13:43.7281435Z # shellcheck disable=SC2156 2025-08-26T22:13:43.7282031Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-26T22:13:43.7288641Z shell: /usr/bin/bash -e {0} 2025-08-26T22:13:43.7288921Z env: 2025-08-26T22:13:43.7289140Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:43.7289604Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:43.7290095Z DEVICE_NAME: 2025-08-26T22:13:43.7290325Z DEVICE_TYPE: 2025-08-26T22:13:43.7290547Z ##[endgroup] 2025-08-26T22:13:44.0112934Z Prepare all required actions 2025-08-26T22:13:44.0113615Z Getting action download info 2025-08-26T22:13:44.1467383Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-26T22:13:44.1467760Z with: 2025-08-26T22:13:44.1467969Z job_id: 48945287514 2025-08-26T22:13:44.1468400Z job_name: linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) 2025-08-26T22:13:44.1468896Z workflow_name: pull 2025-08-26T22:13:44.1469161Z workflow_run_id: 17248463620 2025-08-26T22:13:44.1469536Z workflow_attempt: 1 2025-08-26T22:13:44.1469796Z env: 2025-08-26T22:13:44.1470021Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:44.1470491Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:44.1470991Z DEVICE_NAME: 2025-08-26T22:13:44.1471225Z DEVICE_TYPE: 2025-08-26T22:13:44.1471457Z ##[endgroup] 2025-08-26T22:13:44.1492134Z ##[group]Run echo "workflow_id: 17248463620" 2025-08-26T22:13:44.1492559Z echo "workflow_id: 17248463620" 2025-08-26T22:13:44.1492906Z echo "workflow_attempt: 1" 2025-08-26T22:13:44.1493225Z echo "workflow_Name: pull" 2025-08-26T22:13:44.1493547Z echo "job_id: 48945287514" 2025-08-26T22:13:44.1494084Z echo "job_name: linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge)" 2025-08-26T22:13:44.1494647Z echo "artifact_prefix: " 2025-08-26T22:13:44.1494965Z python3 --version 2025-08-26T22:13:44.1500495Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:44.1500988Z env: 2025-08-26T22:13:44.1501218Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:44.1501691Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:44.1502193Z DEVICE_NAME: 2025-08-26T22:13:44.1502434Z DEVICE_TYPE: 2025-08-26T22:13:44.1502666Z ##[endgroup] 2025-08-26T22:13:44.1525677Z workflow_id: 17248463620 2025-08-26T22:13:44.1525980Z workflow_attempt: 1 2025-08-26T22:13:44.1526235Z workflow_Name: pull 2025-08-26T22:13:44.1526476Z job_id: 48945287514 2025-08-26T22:13:44.1526903Z job_name: linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) 2025-08-26T22:13:44.1527468Z artifact_prefix: 2025-08-26T22:13:44.1537896Z Python 3.9.23 2025-08-26T22:13:44.1579537Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-26T22:13:44.1579844Z with: 2025-08-26T22:13:44.1580060Z shell: bash 2025-08-26T22:13:44.1580301Z timeout_minutes: 5 2025-08-26T22:13:44.1580557Z max_attempts: 5 2025-08-26T22:13:44.1580785Z retry_wait_seconds: 30 2025-08-26T22:13:44.1581361Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-08-26T22:13:44.1581975Z polling_interval_seconds: 1 2025-08-26T22:13:44.1582262Z warning_on_retry: true 2025-08-26T22:13:44.1582520Z continue_on_error: false 2025-08-26T22:13:44.1582778Z env: 2025-08-26T22:13:44.1582991Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:44.1583470Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:44.1583961Z DEVICE_NAME: 2025-08-26T22:13:44.1584189Z DEVICE_TYPE: 2025-08-26T22:13:44.1584411Z ##[endgroup] 2025-08-26T22:13:44.5108203Z Defaulting to user installation because normal site-packages is not writeable 2025-08-26T22:13:44.5955327Z Collecting python-dateutil==2.8.2 2025-08-26T22:13:44.6118922Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-26T22:13:45.6005097Z Collecting boto3==1.35.42 2025-08-26T22:13:45.6048489Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-26T22:13:46.1296719Z Collecting pandas==2.1.3 2025-08-26T22:13:46.1334759Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-26T22:13:46.3342409Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-26T22:13:46.3362438Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-26T22:13:46.3409891Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4) 2025-08-26T22:13:46.3416842Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0) 2025-08-26T22:13:46.3422332Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99) 2025-08-26T22:13:46.4059982Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-26T22:13:47.2654541Z Collecting numpy<2,>=1.22.4 2025-08-26T22:13:47.2692451Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-26T22:13:47.4967935Z Collecting tzdata>=2022.1 2025-08-26T22:13:47.5007057Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-26T22:13:47.5145455Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-08-26T22:13:47.5151735Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-08-26T22:13:47.5213600Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10) 2025-08-26T22:13:47.5326856Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-08-26T22:13:47.5431181Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-08-26T22:13:47.5438504Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-08-26T22:13:47.7099044Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-26T22:13:52.7305546Z Attempting uninstall: boto3 2025-08-26T22:13:52.7306075Z Found existing installation: boto3 1.35.33 2025-08-26T22:13:52.7404583Z Uninstalling boto3-1.35.33: 2025-08-26T22:13:52.7418252Z Successfully uninstalled boto3-1.35.33 2025-08-26T22:13:52.7956267Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-26T22:13:53.2485779Z Command completed after 1 attempt(s). 2025-08-26T22:13:53.2539990Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-26T22:13:53.2540754Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-26T22:13:53.2541289Z  --workflow-run-id "17248463620" \ 2025-08-26T22:13:53.2541655Z  --workflow-name "pull" \ 2025-08-26T22:13:53.2542006Z  --workflow-run-attempt "1" \ 2025-08-26T22:13:53.2542344Z  --job-id "48945287514" \ 2025-08-26T22:13:53.2542876Z  --job-name "linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge)" \ 2025-08-26T22:13:53.2543409Z  --local-path "" \ 2025-08-26T22:13:53.2543716Z  --artifact-prefix "" 2025-08-26T22:13:53.2549221Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:53.2549633Z env: 2025-08-26T22:13:53.2549854Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:53.2550345Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:53.2550860Z DEVICE_NAME: 2025-08-26T22:13:53.2551101Z DEVICE_TYPE: 2025-08-26T22:13:53.2551335Z ##[endgroup] 2025-08-26T22:13:55.5891848Z repo: pytorch/pytorch 2025-08-26T22:13:55.5892241Z Search for test log in s3 bucket: ossci-utilization 2025-08-26T22:13:55.5893296Z Downloading logs-test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514.zip 2025-08-26T22:13:55.5894050Z extracting usage_log.txt from zip file logs-test-dynamo_wrapped-1-3-lf.linux.2xlarge_48945287514.zip 2025-08-26T22:13:55.5894648Z Converted Log Model: UtilizationMetadata: 2025-08-26T22:13:55.5896048Z UtilizationMetadata(level='metadata', workflow_id='17248463620', job_id='48945287514', workflow_name='pull', job_name='linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1756238060, gpu_count=0, cpu_count=8, gpu_type=None, error=None) 2025-08-26T22:13:55.5897606Z [Db Segments] detected pytest cmd: 12, generated segments: 12 2025-08-26T22:13:55.5898012Z [db model] Peek db timeseries 2025-08-26T22:13:55.5898291Z :{ 2025-08-26T22:13:55.5898505Z "created_at": 1756246435, 2025-08-26T22:13:55.5898792Z "type": "utilization", 2025-08-26T22:13:55.5899047Z "tags": [ 2025-08-26T22:13:55.5899267Z "record" 2025-08-26T22:13:55.5899498Z ], 2025-08-26T22:13:55.5899717Z "time_stamp": 1756238060, 2025-08-26T22:13:55.5899993Z "repo": "pytorch/pytorch", 2025-08-26T22:13:55.5900284Z "workflow_id": 17248463620, 2025-08-26T22:13:55.5900566Z "run_attempt": 1, 2025-08-26T22:13:55.5900809Z "job_id": 48945287514, 2025-08-26T22:13:55.5901081Z "workflow_name": "pull", 2025-08-26T22:13:55.5901546Z "job_name": "linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge)", 2025-08-26T22:13:55.5902050Z "json_data": "{}" 2025-08-26T22:13:55.5902288Z } 2025-08-26T22:13:55.5902790Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463620/1/48945287514/metadata 2025-08-26T22:13:55.5903803Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463620/1/48945287514/metadata 2025-08-26T22:13:55.5904798Z Writing 1662 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463620/1/48945287514/time_series 2025-08-26T22:13:55.5905848Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463620/1/48945287514/time_series 2025-08-26T22:13:55.7034190Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-26T22:13:55.7034653Z with: 2025-08-26T22:13:55.7034871Z env: 2025-08-26T22:13:55.7035080Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:55.7035555Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:55.7036069Z DEVICE_NAME: 2025-08-26T22:13:55.7036305Z DEVICE_TYPE: 2025-08-26T22:13:55.7036525Z ##[endgroup] 2025-08-26T22:13:55.7056376Z ##[group]Run set -eou pipefail 2025-08-26T22:13:55.7056701Z set -eou pipefail 2025-08-26T22:13:55.7056971Z  2025-08-26T22:13:55.7057341Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-26T22:13:55.7057804Z for _ in $(seq 1440); do 2025-08-26T22:13:55.7058154Z  # Break if no ssh session exists anymore 2025-08-26T22:13:55.7058511Z  if [ "$(who)" = "" ]; then 2025-08-26T22:13:55.7058812Z  break 2025-08-26T22:13:55.7059090Z  fi 2025-08-26T22:13:55.7059324Z  echo "." 2025-08-26T22:13:55.7059557Z  sleep 5 2025-08-26T22:13:55.7059797Z done 2025-08-26T22:13:55.7065425Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:55.7065834Z env: 2025-08-26T22:13:55.7066044Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:55.7066516Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:55.7067031Z DEVICE_NAME: 2025-08-26T22:13:55.7067263Z DEVICE_TYPE: 2025-08-26T22:13:55.7067478Z ##[endgroup] 2025-08-26T22:13:55.7090108Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-26T22:13:55.7164678Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T22:13:55.7165362Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T22:13:55.7165812Z # shellcheck disable=SC2046 2025-08-26T22:13:55.7166180Z docker stop $(docker ps -q) || true 2025-08-26T22:13:55.7166528Z # Prune all of the docker images 2025-08-26T22:13:55.7166865Z docker system prune -af 2025-08-26T22:13:55.7172297Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:13:55.7172694Z env: 2025-08-26T22:13:55.7172909Z GIT_DEFAULT_BRANCH: main 2025-08-26T22:13:55.7173482Z DOCKER_CONTAINER_ID: 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:13:55.7174007Z DEVICE_NAME: 2025-08-26T22:13:55.7174244Z DEVICE_TYPE: 2025-08-26T22:13:55.7174473Z ##[endgroup] 2025-08-26T22:14:07.0100037Z 83a4d968bf08 2025-08-26T22:14:07.7397945Z Deleted Containers: 2025-08-26T22:14:07.7398535Z 83a4d968bf083e88b788959a0866b65be7be03fc0652e6625a74edd82e638896 2025-08-26T22:14:07.7398995Z 2025-08-26T22:14:19.6003631Z Deleted Images: 2025-08-26T22:14:19.6004929Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-clang12-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 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2025-08-26T22:14:19.7537066Z git version 2.47.1 2025-08-26T22:14:19.7575751Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/1bddf3db-cc58-461c-ae49-f499e01bcfb4/.gitconfig' 2025-08-26T22:14:19.7584935Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/1bddf3db-cc58-461c-ae49-f499e01bcfb4' before making global git config changes 2025-08-26T22:14:19.7586712Z Adding repository directory to the temporary git global config as a safe directory 2025-08-26T22:14:19.7591399Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-26T22:14:19.7653994Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-26T22:14:19.7685385Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-08-26T22:14:19.8059688Z Entering 'android/libs/fbjni' 2025-08-26T22:14:19.8112724Z Entering 'third_party/FP16' 2025-08-26T22:14:19.8163592Z Entering 'third_party/FXdiv' 2025-08-26T22:14:19.8215147Z Entering 'third_party/NNPACK' 2025-08-26T22:14:19.8267066Z Entering 'third_party/NVTX' 2025-08-26T22:14:19.8317941Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-26T22:14:19.8368272Z Entering 'third_party/XNNPACK' 2025-08-26T22:14:19.8434547Z Entering 'third_party/aiter' 2025-08-26T22:14:19.8486435Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T22:14:19.8546749Z Entering 'third_party/benchmark' 2025-08-26T22:14:19.8597423Z Entering 'third_party/composable_kernel' 2025-08-26T22:14:19.8657057Z Entering 'third_party/cpp-httplib' 2025-08-26T22:14:19.8708154Z Entering 'third_party/cpuinfo' 2025-08-26T22:14:19.8759493Z Entering 'third_party/cudnn_frontend' 2025-08-26T22:14:19.8809341Z Entering 'third_party/cutlass' 2025-08-26T22:14:19.8867891Z Entering 'third_party/fbgemm' 2025-08-26T22:14:19.8936919Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-26T22:14:19.8997447Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-26T22:14:19.9066177Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-26T22:14:19.9128224Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-26T22:14:19.9197745Z Entering 'third_party/fbgemm/external/googletest' 2025-08-26T22:14:19.9259383Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-26T22:14:19.9319709Z Entering 'third_party/fbgemm/external/json' 2025-08-26T22:14:19.9372615Z Entering 'third_party/flash-attention' 2025-08-26T22:14:19.9424832Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T22:14:19.9480547Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-26T22:14:19.9542629Z Entering 'third_party/flatbuffers' 2025-08-26T22:14:19.9597219Z Entering 'third_party/fmt' 2025-08-26T22:14:19.9648695Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-26T22:14:19.9700701Z Entering 'third_party/gloo' 2025-08-26T22:14:19.9752117Z Entering 'third_party/googletest' 2025-08-26T22:14:19.9801887Z Entering 'third_party/ideep' 2025-08-26T22:14:19.9858035Z Entering 'third_party/ideep/mkl-dnn' 2025-08-26T22:14:19.9916122Z Entering 'third_party/ittapi' 2025-08-26T22:14:19.9966632Z Entering 'third_party/kineto' 2025-08-26T22:14:20.0016995Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T22:14:20.0066813Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T22:14:20.0118133Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T22:14:20.0167805Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T22:14:20.0217874Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T22:14:20.0265880Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T22:14:20.0317954Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T22:14:20.0367109Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T22:14:20.0416989Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T22:14:20.0467322Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T22:14:20.0523158Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T22:14:20.0572426Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T22:14:20.0624129Z Entering 'third_party/kleidiai' 2025-08-26T22:14:20.0675798Z Entering 'third_party/mimalloc' 2025-08-26T22:14:20.0725867Z Entering 'third_party/nlohmann' 2025-08-26T22:14:20.0778719Z Entering 'third_party/onnx' 2025-08-26T22:14:20.0847106Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-26T22:14:20.0899816Z Entering 'third_party/opentelemetry-cpp' 2025-08-26T22:14:20.0953819Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T22:14:20.1002462Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T22:14:20.1052134Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T22:14:20.1100990Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T22:14:20.1152190Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T22:14:20.1200765Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T22:14:20.1249816Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T22:14:20.1296989Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T22:14:20.1349330Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T22:14:20.1399770Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T22:14:20.1472480Z Entering 'third_party/pocketfft' 2025-08-26T22:14:20.1523560Z Entering 'third_party/protobuf' 2025-08-26T22:14:20.1576987Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-26T22:14:20.1627742Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-26T22:14:20.1678092Z Entering 'third_party/psimd' 2025-08-26T22:14:20.1728591Z Entering 'third_party/pthreadpool' 2025-08-26T22:14:20.1779492Z Entering 'third_party/pybind11' 2025-08-26T22:14:20.1830223Z Entering 'third_party/python-peachpy' 2025-08-26T22:14:20.1880886Z Entering 'third_party/sleef' 2025-08-26T22:14:20.1933264Z Entering 'third_party/tensorpipe' 2025-08-26T22:14:20.1984030Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T22:14:20.2033888Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T22:14:20.2083023Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T22:14:20.2132255Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T22:14:20.2179868Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T22:14:20.2258274Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-26T22:14:20.2277997Z http.https://github.com/.extraheader 2025-08-26T22:14:20.2288436Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-26T22:14:20.2317763Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-08-26T22:14:20.2590857Z Entering 'android/libs/fbjni' 2025-08-26T22:14:20.2626538Z http.https://github.com/.extraheader 2025-08-26T22:14:20.2657170Z Entering 'third_party/FP16' 2025-08-26T22:14:20.2692221Z http.https://github.com/.extraheader 2025-08-26T22:14:20.2723443Z Entering 'third_party/FXdiv' 2025-08-26T22:14:20.2757678Z http.https://github.com/.extraheader 2025-08-26T22:14:20.2788470Z Entering 'third_party/NNPACK' 2025-08-26T22:14:20.2823943Z http.https://github.com/.extraheader 2025-08-26T22:14:20.2854114Z Entering 'third_party/NVTX' 2025-08-26T22:14:20.2888476Z http.https://github.com/.extraheader 2025-08-26T22:14:20.2919309Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-26T22:14:20.2953552Z http.https://github.com/.extraheader 2025-08-26T22:14:20.2984166Z Entering 'third_party/XNNPACK' 2025-08-26T22:14:20.3019419Z http.https://github.com/.extraheader 2025-08-26T22:14:20.3065639Z Entering 'third_party/aiter' 2025-08-26T22:14:20.3100032Z http.https://github.com/.extraheader 2025-08-26T22:14:20.3131991Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T22:14:20.3164615Z http.https://github.com/.extraheader 2025-08-26T22:14:20.3203922Z Entering 'third_party/benchmark' 2025-08-26T22:14:20.3238182Z http.https://github.com/.extraheader 2025-08-26T22:14:20.3268755Z Entering 'third_party/composable_kernel' 2025-08-26T22:14:20.3304880Z http.https://github.com/.extraheader 2025-08-26T22:14:20.3345686Z Entering 'third_party/cpp-httplib' 2025-08-26T22:14:20.3380092Z http.https://github.com/.extraheader 2025-08-26T22:14:20.3411691Z Entering 'third_party/cpuinfo' 2025-08-26T22:14:20.3444644Z http.https://github.com/.extraheader 2025-08-26T22:14:20.3476188Z Entering 'third_party/cudnn_frontend' 2025-08-26T22:14:20.3511037Z http.https://github.com/.extraheader 2025-08-26T22:14:20.3541654Z Entering 'third_party/cutlass' 2025-08-26T22:14:20.3576159Z http.https://github.com/.extraheader 2025-08-26T22:14:20.3616381Z Entering 'third_party/fbgemm' 2025-08-26T22:14:20.3650784Z http.https://github.com/.extraheader 2025-08-26T22:14:20.3683454Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-26T22:14:20.3716414Z http.https://github.com/.extraheader 2025-08-26T22:14:20.3746815Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-26T22:14:20.3779465Z http.https://github.com/.extraheader 2025-08-26T22:14:20.3817522Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-26T22:14:20.3850429Z http.https://github.com/.extraheader 2025-08-26T22:14:20.3880234Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-26T22:14:20.3913301Z http.https://github.com/.extraheader 2025-08-26T22:14:20.3950337Z Entering 'third_party/fbgemm/external/googletest' 2025-08-26T22:14:20.3983037Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4013087Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-26T22:14:20.4045530Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4074818Z Entering 'third_party/fbgemm/external/json' 2025-08-26T22:14:20.4107717Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4142166Z Entering 'third_party/flash-attention' 2025-08-26T22:14:20.4176716Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4208246Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T22:14:20.4242669Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4280184Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-26T22:14:20.4313455Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4353928Z Entering 'third_party/flatbuffers' 2025-08-26T22:14:20.4387969Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4421672Z Entering 'third_party/fmt' 2025-08-26T22:14:20.4456606Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4487726Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-26T22:14:20.4521833Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4553120Z Entering 'third_party/gloo' 2025-08-26T22:14:20.4586493Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4618641Z Entering 'third_party/googletest' 2025-08-26T22:14:20.4652444Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4682957Z Entering 'third_party/ideep' 2025-08-26T22:14:20.4719230Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4749774Z Entering 'third_party/ideep/mkl-dnn' 2025-08-26T22:14:20.4782464Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4820270Z Entering 'third_party/ittapi' 2025-08-26T22:14:20.4854939Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4885745Z Entering 'third_party/kineto' 2025-08-26T22:14:20.4922143Z http.https://github.com/.extraheader 2025-08-26T22:14:20.4953138Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T22:14:20.4986533Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5019213Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T22:14:20.5052785Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5084855Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T22:14:20.5118160Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5149665Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T22:14:20.5182517Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5214106Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T22:14:20.5248299Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5278459Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T22:14:20.5313730Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5346848Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T22:14:20.5380613Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5411987Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T22:14:20.5446182Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5477881Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T22:14:20.5511952Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5543286Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T22:14:20.5576523Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5609457Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T22:14:20.5642839Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5673520Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T22:14:20.5706315Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5739007Z Entering 'third_party/kleidiai' 2025-08-26T22:14:20.5773822Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5805071Z Entering 'third_party/mimalloc' 2025-08-26T22:14:20.5840541Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5871841Z Entering 'third_party/nlohmann' 2025-08-26T22:14:20.5905730Z http.https://github.com/.extraheader 2025-08-26T22:14:20.5939265Z Entering 'third_party/onnx' 2025-08-26T22:14:20.5973701Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6023160Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-26T22:14:20.6058603Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6091813Z Entering 'third_party/opentelemetry-cpp' 2025-08-26T22:14:20.6126615Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6159624Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T22:14:20.6192142Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6222771Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T22:14:20.6255472Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6285674Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T22:14:20.6318398Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6348388Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T22:14:20.6381016Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6413350Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T22:14:20.6445682Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6475630Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T22:14:20.6507980Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6538647Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T22:14:20.6571537Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6601686Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T22:14:20.6634936Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6668341Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T22:14:20.6700877Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6734526Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T22:14:20.6767306Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6819002Z Entering 'third_party/pocketfft' 2025-08-26T22:14:20.6852883Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6884289Z Entering 'third_party/protobuf' 2025-08-26T22:14:20.6918066Z http.https://github.com/.extraheader 2025-08-26T22:14:20.6952347Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-26T22:14:20.6985115Z http.https://github.com/.extraheader 2025-08-26T22:14:20.7015779Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-26T22:14:20.7048412Z http.https://github.com/.extraheader 2025-08-26T22:14:20.7080509Z Entering 'third_party/psimd' 2025-08-26T22:14:20.7115803Z http.https://github.com/.extraheader 2025-08-26T22:14:20.7146233Z Entering 'third_party/pthreadpool' 2025-08-26T22:14:20.7180384Z http.https://github.com/.extraheader 2025-08-26T22:14:20.7210904Z Entering 'third_party/pybind11' 2025-08-26T22:14:20.7246348Z http.https://github.com/.extraheader 2025-08-26T22:14:20.7277000Z Entering 'third_party/python-peachpy' 2025-08-26T22:14:20.7310591Z http.https://github.com/.extraheader 2025-08-26T22:14:20.7341568Z Entering 'third_party/sleef' 2025-08-26T22:14:20.7375222Z http.https://github.com/.extraheader 2025-08-26T22:14:20.7405720Z Entering 'third_party/tensorpipe' 2025-08-26T22:14:20.7439477Z http.https://github.com/.extraheader 2025-08-26T22:14:20.7470733Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T22:14:20.7503209Z http.https://github.com/.extraheader 2025-08-26T22:14:20.7533566Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T22:14:20.7566452Z http.https://github.com/.extraheader 2025-08-26T22:14:20.7596533Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T22:14:20.7632135Z http.https://github.com/.extraheader 2025-08-26T22:14:20.7662876Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T22:14:20.7695640Z http.https://github.com/.extraheader 2025-08-26T22:14:20.7725746Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T22:14:20.7759320Z http.https://github.com/.extraheader 2025-08-26T22:14:20.7875436Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-26T22:14:20.7900037Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-26T22:14:20.7905054Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T22:14:20.7905458Z ##[endgroup] 2025-08-26T22:14:30.1544772Z Cleaning up orphan processes