2025-08-26T20:06:35.5467826Z Current runner version: '2.328.0' 2025-08-26T20:06:35.5473293Z Runner name: 'pytorch-rocm-hw-03' 2025-08-26T20:06:35.5474040Z Runner group name: 'linux.rocm.gpu.group' 2025-08-26T20:06:35.5474835Z Machine name: 'pytorch-rocm-hw-03' 2025-08-26T20:06:35.5477227Z ##[group]GITHUB_TOKEN Permissions 2025-08-26T20:06:35.5478978Z Contents: read 2025-08-26T20:06:35.5479496Z Metadata: read 2025-08-26T20:06:35.5479961Z ##[endgroup] 2025-08-26T20:06:35.5481845Z Secret source: Actions 2025-08-26T20:06:35.5482541Z Prepare workflow directory 2025-08-26T20:06:35.9166517Z Prepare all required actions 2025-08-26T20:06:35.9217466Z Getting action download info 2025-08-26T20:06:36.3847285Z Download action repository 'pytorch/pytorch@main' (SHA:9f6e1b8730d6a7a7d012be90ae08674294aa4933) 2025-08-26T20:06:41.2873573Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-26T20:06:41.9234892Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-26T20:06:42.4688903Z Download action repository 'pytorch/test-infra@main' (SHA:0192d56cb596bb73b125bd368553908cc5c513f0) 2025-08-26T20:06:43.5613148Z Download action repository 'actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-26T20:06:44.3684013Z Getting action download info 2025-08-26T20:06:44.5341239Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-26T20:06:45.1771093Z Getting action download info 2025-08-26T20:06:45.3457558Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-26T20:06:45.9243379Z Getting action download info 2025-08-26T20:06:46.1075367Z Uses: pytorch/pytorch/.github/workflows/_rocm-test.yml@refs/heads/main (262640fd220236042fbf4443cc163c8838c84c3d) 2025-08-26T20:06:46.1081592Z ##[group] Inputs 2025-08-26T20:06:46.1082101Z build-environment: linux-jammy-rocm-py3.10 2025-08-26T20:06:46.1084312Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.2"}]} 2025-08-26T20:06:46.1086939Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:06:46.1087956Z sync-tag: 2025-08-26T20:06:46.1089068Z timeout-minutes: 300 2025-08-26T20:06:46.1089432Z tests-to-include: 2025-08-26T20:06:46.1089756Z dashboard-tag: 2025-08-26T20:06:46.1090575Z disable-monitor: true 2025-08-26T20:06:46.1090959Z monitor-log-interval: 5 2025-08-26T20:06:46.1091360Z monitor-data-collect-interval: 1 2025-08-26T20:06:46.1091786Z ##[endgroup] 2025-08-26T20:06:46.1092323Z Complete job name: linux-jammy-rocm-py3.10 / test (default, 1, 6, linux.rocm.gpu.2) 2025-08-26T20:06:46.2261108Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-26T20:06:46.2261691Z with: 2025-08-26T20:06:46.2261852Z no-sudo: true 2025-08-26T20:06:46.2262033Z submodules: recursive 2025-08-26T20:06:46.2262206Z fetch-depth: 0 2025-08-26T20:06:46.2262519Z env: 2025-08-26T20:06:46.2262708Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:06:46.2262887Z ##[endgroup] 2025-08-26T20:06:46.2361101Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T20:06:46.2361824Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-26T20:06:46.2392456Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:06:46.2392758Z env: 2025-08-26T20:06:46.2392917Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:06:46.2393108Z ##[endgroup] 2025-08-26T20:06:46.2697027Z ##[group]Run # Use all available CPUs for fetching 2025-08-26T20:06:46.2697820Z # Use all available CPUs for fetching 2025-08-26T20:06:46.2698389Z cd "${GITHUB_WORKSPACE}" 2025-08-26T20:06:46.2698957Z git config --global fetch.parallel 0 2025-08-26T20:06:46.2699621Z git config --global submodule.fetchJobs 0 2025-08-26T20:06:46.2700298Z  2025-08-26T20:06:46.2700895Z # Clean workspace. The default checkout action should also do this, but 2025-08-26T20:06:46.2701673Z # do it here as well just in case 2025-08-26T20:06:46.2702195Z if [[ -d .git ]]; then 2025-08-26T20:06:46.2702671Z  if [ -z "${NO_SUDO}" ]; then 2025-08-26T20:06:46.2703178Z  sudo git clean -ffdx 2025-08-26T20:06:46.2703655Z  else 2025-08-26T20:06:46.2704042Z  git clean -ffdx 2025-08-26T20:06:46.2704466Z  fi 2025-08-26T20:06:46.2704815Z fi 2025-08-26T20:06:46.2763494Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:06:46.2764179Z env: 2025-08-26T20:06:46.2764552Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:06:46.2765008Z NO_SUDO: true 2025-08-26T20:06:46.2765390Z ##[endgroup] 2025-08-26T20:06:46.6963304Z Removing .additional_ci_files/ 2025-08-26T20:06:46.6964073Z Removing build/ 2025-08-26T20:06:46.6964486Z Removing dist/ 2025-08-26T20:06:46.6964914Z Removing test/test-reports/ 2025-08-26T20:06:46.7102607Z ##[group]Run actions/checkout@v4 2025-08-26T20:06:46.7103141Z with: 2025-08-26T20:06:46.7103586Z ref: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:06:46.7104146Z fetch-depth: 0 2025-08-26T20:06:46.7104560Z submodules: recursive 2025-08-26T20:06:46.7104996Z show-progress: false 2025-08-26T20:06:46.7105485Z repository: pytorch/pytorch 2025-08-26T20:06:46.7106215Z token: *** 2025-08-26T20:06:46.7106597Z ssh-strict: true 2025-08-26T20:06:46.7106986Z ssh-user: git 2025-08-26T20:06:46.7107373Z persist-credentials: true 2025-08-26T20:06:46.7107814Z clean: true 2025-08-26T20:06:46.7108409Z sparse-checkout-cone-mode: true 2025-08-26T20:06:46.7108898Z fetch-tags: false 2025-08-26T20:06:46.7109260Z lfs: false 2025-08-26T20:06:46.7109615Z set-safe-directory: true 2025-08-26T20:06:46.7110028Z env: 2025-08-26T20:06:46.7110358Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:06:46.7110763Z ##[endgroup] 2025-08-26T20:06:46.8260459Z Syncing repository: pytorch/pytorch 2025-08-26T20:06:46.8262970Z ##[group]Getting Git version info 2025-08-26T20:06:46.8263872Z Working directory is '/home/pytorchci/actions-runner/_work/pytorch/pytorch' 2025-08-26T20:06:46.8265112Z [command]/usr/bin/git version 2025-08-26T20:06:46.8265583Z git version 2.34.1 2025-08-26T20:06:46.8267111Z ##[endgroup] 2025-08-26T20:06:46.8273587Z Copying '/home/pytorchci/.gitconfig' to '/home/pytorchci/actions-runner/_work/_temp/3efa3164-5569-4d2e-be1a-24bc59abcb61/.gitconfig' 2025-08-26T20:06:46.8276100Z Temporarily overriding HOME='/home/pytorchci/actions-runner/_work/_temp/3efa3164-5569-4d2e-be1a-24bc59abcb61' before making global git config changes 2025-08-26T20:06:46.8277741Z Adding repository directory to the temporary git global config as a safe directory 2025-08-26T20:06:46.8279040Z [command]/usr/bin/git config --global --add safe.directory /home/pytorchci/actions-runner/_work/pytorch/pytorch 2025-08-26T20:06:46.8289977Z [command]/usr/bin/git config --local --get remote.origin.url 2025-08-26T20:06:46.8325891Z https://github.com/pytorch/pytorch 2025-08-26T20:06:46.8351267Z ##[group]Removing previously created refs, to avoid conflicts 2025-08-26T20:06:46.8355259Z [command]/usr/bin/git rev-parse --symbolic-full-name --verify --quiet HEAD 2025-08-26T20:06:46.8376607Z HEAD 2025-08-26T20:06:46.8434249Z ##[endgroup] 2025-08-26T20:06:46.8436248Z [command]/usr/bin/git submodule status 2025-08-26T20:06:46.8846161Z 7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe) 2025-08-26T20:06:46.8968134Z 4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081) 2025-08-26T20:06:46.9098097Z b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327) 2025-08-26T20:06:46.9240735Z c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0) 2025-08-26T20:06:46.9330682Z 2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16) 2025-08-26T20:06:46.9453004Z 1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600) 2025-08-26T20:06:47.0080694Z 51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656) 2025-08-26T20:06:47.0143291Z 01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101) 2025-08-26T20:06:47.0174004Z 299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3) 2025-08-26T20:06:47.0312706Z 7fe50dc3da2069d6645d9deb8c017a876472a977 third_party/composable_kernel (rocm-6.4.3-459-g7fe50dc3d) 2025-08-26T20:06:47.0545384Z 3af7f2c16147f3fbc6e4d717032daf505dc1652c third_party/cpp-httplib (v0.20.1) 2025-08-26T20:06:47.0752854Z 5e3d2445e6a84d9599bee2bf78edbb4d80865e1d third_party/cpuinfo (5e3d244) 2025-08-26T20:06:47.0821976Z f937055efc6d414d11f4c6577e3977fe74f35fb6 third_party/cudnn_frontend (v0.5-52-gf937055) 2025-08-26T20:06:47.0985992Z e51efbfe18fe4f4cbb66ab814c55bf4aa0185491 third_party/cutlass (v4.1.0) 2025-08-26T20:06:47.1061895Z 21c7d30c526c0f1ad873ecc632dca6cfa8a69067 third_party/fbgemm (v1.3.0-rc1-165-g21c7d30c) 2025-08-26T20:06:47.1210684Z 979702c87a8713a8e0a5e9fee122b90d2ef13be5 third_party/flash-attention (v2.7.4) 2025-08-26T20:06:47.1254480Z a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757 third_party/flatbuffers (v24.12.23) 2025-08-26T20:06:47.1731499Z 40626af88bd7df9a5fb80be7b25ac85b122d6c21 third_party/fmt (11.2.0) 2025-08-26T20:06:47.1904869Z 3fb5c176c17c765a3492cd2f0321b0dab712f350 third_party/gemmlowp/gemmlowp (remotes/origin/revert-87-master-135-g3fb5c17) 2025-08-26T20:06:47.2048167Z c7b7b022c124d9643957d9bd55f57ac59fce8fa2 third_party/gloo (remotes/origin/gh/c-p-i-o/1/base-33-gc7b7b02) 2025-08-26T20:06:47.2361326Z 52eb8108c5bdec04579160ae17225d66034bd723 third_party/googletest (release-1.8.0-3544-g52eb8108) 2025-08-26T20:06:47.2508842Z 719d8e6cd7f7a0e01b155657526d693acf97c2b3 third_party/ideep (pytorch-rls-v3.7.1) 2025-08-26T20:06:47.2618758Z dec1d23ca65ab069d225dfe40dea14f455170959 third_party/ittapi (v3.25.5) 2025-08-26T20:06:47.3045868Z 5e7501833f1021ce6f618572d3baf657b6319658 third_party/kineto (remotes/origin/sraikund/test-98-g5e75018) 2025-08-26T20:06:47.3102258Z cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7 third_party/kleidiai (v1.8.0) 2025-08-26T20:06:47.3147044Z fbd8b99c2b828428947d70fdc046bb55609be93e third_party/mimalloc (v2.2.4) 2025-08-26T20:06:47.3203318Z 55f93686c01528224f448c19128836e7df245f72 third_party/nlohmann (v3.12.0) 2025-08-26T20:06:47.3651080Z e709452ef2bbc1d113faf678c24e6d3467696e83 third_party/onnx (v1.18.0) 2025-08-26T20:06:47.3682417Z a799f4aed9c94b765dcdaabaeab7d5e7e2310878 third_party/opentelemetry-cpp (v1.14.2) 2025-08-26T20:06:47.3740425Z 0fa0ef591e38c2758e3184c6c23e497b9f732ffa third_party/pocketfft (release_for_eigen-40-g0fa0ef5) 2025-08-26T20:06:47.4214488Z d1eca4e4b421cd2997495c4b4e65cea6be4e9b8a third_party/protobuf (v3.7.0-rc.2-1279-gd1eca4e4b) 2025-08-26T20:06:47.4371926Z 072586a71b55b7f8c584153d223e95687148a900 third_party/psimd (heads/master) 2025-08-26T20:06:47.4479016Z 4fe0e1e183925bf8cfa6aae24237e724a96479b8 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##[group]Setting up auth 2025-08-26T20:06:48.3309086Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-26T20:06:48.3379516Z [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' || :" 2025-08-26T20:06:48.3784229Z Entering 'android/libs/fbjni' 2025-08-26T20:06:48.3845861Z Entering 'third_party/FP16' 2025-08-26T20:06:48.3898013Z Entering 'third_party/FXdiv' 2025-08-26T20:06:48.3937073Z Entering 'third_party/NNPACK' 2025-08-26T20:06:48.3975538Z Entering 'third_party/NVTX' 2025-08-26T20:06:48.4014243Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-26T20:06:48.4052088Z Entering 'third_party/XNNPACK' 2025-08-26T20:06:48.4124956Z Entering 'third_party/aiter' 2025-08-26T20:06:48.4193526Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T20:06:48.4260190Z Entering 'third_party/benchmark' 2025-08-26T20:06:48.4309922Z 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[command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-26T20:06:49.1469006Z ##[endgroup] 2025-08-26T20:06:49.1469798Z ##[group]Fetching the repository 2025-08-26T20:06:49.1482806Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-26T20:06:49.8551123Z From https://github.com/pytorch/pytorch 2025-08-26T20:06:49.8552024Z - [deleted] (none) -> ciflow/inductor/161198 2025-08-26T20:06:49.9181043Z - [deleted] (none) -> ciflow/inductor/161199 2025-08-26T20:06:49.9181852Z - [deleted] (none) -> ciflow/inductor/161293 2025-08-26T20:06:49.9182915Z - [deleted] (none) -> ciflow/inductor/161334 2025-08-26T20:06:49.9184132Z - [deleted] (none) -> ciflow/inductor/161514 2025-08-26T20:06:49.9185879Z - [deleted] (none) -> ciflow/trunk/161002 2025-08-26T20:06:49.9187360Z - [deleted] (none) -> ciflow/trunk/161125 2025-08-26T20:06:49.9188956Z - [deleted] (none) -> ciflow/trunk/161199 2025-08-26T20:06:49.9190088Z - [deleted] (none) -> ciflow/trunk/161220 2025-08-26T20:06:49.9191490Z - [deleted] (none) -> ciflow/trunk/161293 2025-08-26T20:06:49.9192897Z - [deleted] (none) -> ciflow/trunk/161334 2025-08-26T20:06:49.9193945Z - [deleted] (none) -> ciflow/trunk/161424 2025-08-26T20:06:49.9195270Z - [deleted] (none) -> ciflow/trunk/161501 2025-08-26T20:06:49.9196647Z - [deleted] (none) -> ciflow/trunk/161514 2025-08-26T20:06:51.8045329Z 8d87195d50e..c9b9fbc68d5 brister/fx_custom_triton -> origin/brister/fx_custom_triton 2025-08-26T20:06:51.8053117Z * [new branch] cleanup-inductor-benchmark-images -> origin/cleanup-inductor-benchmark-images 2025-08-26T20:06:51.8059695Z + d3878677ef0...1a075787b0f exclamaforte/fix-exhaustive-autotuning -> origin/exclamaforte/fix-exhaustive-autotuning (forced update) 2025-08-26T20:06:51.8066573Z + 4a42dcade95...fcf8ef788b6 export-D80771648 -> origin/export-D80771648 (forced update) 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-> origin/gh/coconutruben/33/head 2025-08-26T20:06:51.8178069Z + 4c939ac62fc...9c420c690b7 gh/coconutruben/33/orig -> origin/gh/coconutruben/33/orig (forced update) 2025-08-26T20:06:51.8181361Z c0fc3c0b742..d5f237fd1fd gh/coconutruben/34/base -> origin/gh/coconutruben/34/base 2025-08-26T20:06:51.8184796Z cba23a051d7..70e66f27c01 gh/coconutruben/34/head -> origin/gh/coconutruben/34/head 2025-08-26T20:06:51.8188321Z + 7d41d7813f8...a3f9aaa2c2e gh/coconutruben/34/orig -> origin/gh/coconutruben/34/orig (forced update) 2025-08-26T20:06:51.8191882Z 902befd3e61..deb26c128aa gh/coconutruben/35/base -> origin/gh/coconutruben/35/base 2025-08-26T20:06:51.8195498Z a44df35a832..5ad934beab7 gh/coconutruben/35/head -> origin/gh/coconutruben/35/head 2025-08-26T20:06:51.8200102Z + 612edf1f4ba...448a0121324 gh/coconutruben/35/orig -> origin/gh/coconutruben/35/orig (forced update) 2025-08-26T20:06:51.8202268Z c9a6034ba25..c8ec4aaba62 gh/coconutruben/37/base -> origin/gh/coconutruben/37/base 2025-08-26T20:06:51.8204112Z ec8395195f8..1f0c6a679b2 gh/coconutruben/37/head -> origin/gh/coconutruben/37/head 2025-08-26T20:06:51.8206262Z + ddc24de9ef4...9856b8f931b gh/coconutruben/37/orig -> origin/gh/coconutruben/37/orig (forced update) 2025-08-26T20:06:51.8209509Z 9d57924df63..9cdcbc9f58e gh/coconutruben/38/base -> origin/gh/coconutruben/38/base 2025-08-26T20:06:51.8213036Z 2d79540bcfd..32bf0e58a9b gh/coconutruben/38/head -> origin/gh/coconutruben/38/head 2025-08-26T20:06:51.8216825Z + de4d4c4478d...0d5f6cfb99a gh/coconutruben/38/orig -> origin/gh/coconutruben/38/orig (forced update) 2025-08-26T20:06:51.8220518Z 4bf9fbb8f18..f9a52dfe500 gh/coconutruben/39/base -> origin/gh/coconutruben/39/base 2025-08-26T20:06:51.8224040Z 810ec82ce53..a77d47449f8 gh/coconutruben/39/head -> origin/gh/coconutruben/39/head 2025-08-26T20:06:51.8227684Z + 1c324020df3...e703143be0b gh/coconutruben/39/orig -> origin/gh/coconutruben/39/orig (forced update) 2025-08-26T20:06:51.8231476Z f1659ccd569..b7bc53b1d44 gh/coconutruben/40/base -> origin/gh/coconutruben/40/base 2025-08-26T20:06:51.8235189Z e4a79030b1e..1920c2f0262 gh/coconutruben/40/head -> origin/gh/coconutruben/40/head 2025-08-26T20:06:51.8239617Z + c24d237f260...7590cddad5e gh/coconutruben/40/orig -> origin/gh/coconutruben/40/orig (forced update) 2025-08-26T20:06:51.8241941Z b685f75fefe..0d643795acb gh/coconutruben/41/base -> origin/gh/coconutruben/41/base 2025-08-26T20:06:51.8243801Z 6dfb57a6904..f0943a1fd99 gh/coconutruben/41/head -> origin/gh/coconutruben/41/head 2025-08-26T20:06:51.8245865Z + bb97dc4fed5...0c84df95108 gh/coconutruben/41/orig -> origin/gh/coconutruben/41/orig (forced update) 2025-08-26T20:06:51.8249235Z a598e6f3160..f7c6f5c132e gh/coconutruben/42/base -> origin/gh/coconutruben/42/base 2025-08-26T20:06:51.8252814Z bcb20affc4e..2622a0ca13f gh/coconutruben/42/head -> origin/gh/coconutruben/42/head 2025-08-26T20:06:51.8256439Z + 9a60b763a82...9ed891b565a gh/coconutruben/42/orig -> origin/gh/coconutruben/42/orig (forced update) 2025-08-26T20:06:51.8260052Z fa84007f315..7db7299fff9 gh/coconutruben/43/base -> origin/gh/coconutruben/43/base 2025-08-26T20:06:51.8263684Z 974f01220c1..8d755573e9b gh/coconutruben/43/head -> origin/gh/coconutruben/43/head 2025-08-26T20:06:51.8267469Z + e06df2faaf7...ca20dff578c gh/coconutruben/43/orig -> origin/gh/coconutruben/43/orig (forced update) 2025-08-26T20:06:51.8272106Z 22701f59a19..3006f882d39 gh/coconutruben/44/base -> origin/gh/coconutruben/44/base 2025-08-26T20:06:51.8276104Z 89b8cef5fcb..20bed48a53a gh/coconutruben/44/head -> origin/gh/coconutruben/44/head 2025-08-26T20:06:51.8280597Z + 37d711ea4e1...675c76a3425 gh/coconutruben/44/orig -> origin/gh/coconutruben/44/orig (forced update) 2025-08-26T20:06:51.8282223Z fa602cd46f1..7884a25687e gh/coconutruben/45/base -> origin/gh/coconutruben/45/base 2025-08-26T20:06:51.8284028Z 49d27af5eb2..e42e66075ec gh/coconutruben/45/head -> origin/gh/coconutruben/45/head 2025-08-26T20:06:51.8287351Z + e503d4e6824...95679452cd6 gh/coconutruben/45/orig -> origin/gh/coconutruben/45/orig (forced update) 2025-08-26T20:06:51.8289684Z 263fdaacff8..b8548b90b6c gh/coconutruben/46/base -> origin/gh/coconutruben/46/base 2025-08-26T20:06:51.8293432Z 6d6cff3ecc5..622d2c275d2 gh/coconutruben/46/head -> origin/gh/coconutruben/46/head 2025-08-26T20:06:51.8298221Z + 5c5c9f7c9ec...d39bd7444f0 gh/coconutruben/46/orig -> origin/gh/coconutruben/46/orig (forced update) 2025-08-26T20:06:51.8300594Z 040019c9b4e..152538c7fc9 gh/coconutruben/47/base -> origin/gh/coconutruben/47/base 2025-08-26T20:06:51.8305640Z aae6d7937ad..037f17a7c98 gh/coconutruben/47/head -> origin/gh/coconutruben/47/head 2025-08-26T20:06:51.8307775Z + 71a187d8890...f2e68385944 gh/coconutruben/47/orig -> origin/gh/coconutruben/47/orig (forced update) 2025-08-26T20:06:51.8311772Z 04da4ba8708..090bb996be2 gh/coconutruben/48/base -> origin/gh/coconutruben/48/base 2025-08-26T20:06:51.8316339Z 710370343b6..f7351242ffe gh/coconutruben/48/head -> origin/gh/coconutruben/48/head 2025-08-26T20:06:51.8319542Z + 67eed879ec4...db250fed479 gh/coconutruben/48/orig -> origin/gh/coconutruben/48/orig (forced update) 2025-08-26T20:06:51.8321803Z dd1c7d89c80..b1fb344a9c0 gh/coconutruben/49/base -> origin/gh/coconutruben/49/base 2025-08-26T20:06:51.8323659Z 3cfad6e55fc..31e8ed0409c gh/coconutruben/49/head -> origin/gh/coconutruben/49/head 2025-08-26T20:06:51.8325863Z + 4cf70179044...7224350c287 gh/coconutruben/49/orig -> origin/gh/coconutruben/49/orig (forced update) 2025-08-26T20:06:51.8329721Z 59f489ade8e..433635dbbdb gh/coconutruben/50/base -> origin/gh/coconutruben/50/base 2025-08-26T20:06:51.8334054Z 48a7c3dd877..80e2a2cfda2 gh/coconutruben/50/head -> origin/gh/coconutruben/50/head 2025-08-26T20:06:51.8337135Z + c1ccf6d0449...c06fa3ea007 gh/coconutruben/50/orig -> origin/gh/coconutruben/50/orig (forced update) 2025-08-26T20:06:51.8340681Z 83f7a374668..7d9766539bd gh/coconutruben/51/base -> origin/gh/coconutruben/51/base 2025-08-26T20:06:51.8344331Z 6766a9331ed..b2a332d4c4d gh/coconutruben/51/head -> origin/gh/coconutruben/51/head 2025-08-26T20:06:51.8348538Z + f7a5271aaaf...9f27c267cda gh/coconutruben/51/orig -> origin/gh/coconutruben/51/orig (forced update) 2025-08-26T20:06:51.8352255Z 8e7797331d3..f909d78d633 gh/coconutruben/52/base -> origin/gh/coconutruben/52/base 2025-08-26T20:06:51.8357129Z 578e310e4e8..1e2e628ae10 gh/coconutruben/52/head -> origin/gh/coconutruben/52/head 2025-08-26T20:06:51.8360029Z + b674a371e8d...984ba73d7a0 gh/coconutruben/52/orig -> origin/gh/coconutruben/52/orig (forced update) 2025-08-26T20:06:51.8362170Z e332837aa3d..34cc1b38330 gh/coconutruben/53/base -> origin/gh/coconutruben/53/base 2025-08-26T20:06:51.8363997Z 4313405b1fd..b5d702693c1 gh/coconutruben/53/head -> origin/gh/coconutruben/53/head 2025-08-26T20:06:51.8366266Z + c616b524199...5851660681d gh/coconutruben/53/orig -> origin/gh/coconutruben/53/orig (forced update) 2025-08-26T20:06:51.8370863Z fbd0294f478..c6a23532393 gh/coconutruben/54/base -> origin/gh/coconutruben/54/base 2025-08-26T20:06:51.8373480Z 51bfba1b9d0..91a339e5d7c gh/coconutruben/54/head -> origin/gh/coconutruben/54/head 2025-08-26T20:06:51.8378124Z + 28c548ace54...aa8e9dc0fd1 gh/coconutruben/54/orig -> origin/gh/coconutruben/54/orig (forced update) 2025-08-26T20:06:51.8381631Z * [new branch] gh/coconutruben/55/base -> origin/gh/coconutruben/55/base 2025-08-26T20:06:51.8384614Z * [new branch] gh/coconutruben/55/head -> origin/gh/coconutruben/55/head 2025-08-26T20:06:51.8386924Z * [new branch] gh/coconutruben/55/orig -> origin/gh/coconutruben/55/orig 2025-08-26T20:06:51.8396743Z 81dac38c951..5007b087f7c gh/drisspg/166/base -> origin/gh/drisspg/166/base 2025-08-26T20:06:51.8400873Z 1569674b8ce..ea1a19ec3f7 gh/drisspg/166/head -> origin/gh/drisspg/166/head 2025-08-26T20:06:51.8402590Z + dca2b499e28...950b60cd288 gh/drisspg/166/orig -> origin/gh/drisspg/166/orig (forced update) 2025-08-26T20:06:51.8408676Z bc0571b2128..3c6d2da2f9c gh/drisspg/186/base -> origin/gh/drisspg/186/base 2025-08-26T20:06:51.8413653Z 5095754ff46..2656ef43c5a gh/drisspg/186/head -> origin/gh/drisspg/186/head 2025-08-26T20:06:51.8417262Z + 69dfdced8cf...3f2dbecbf24 gh/drisspg/186/orig -> origin/gh/drisspg/186/orig (forced update) 2025-08-26T20:06:51.8421883Z ad7ddb6c55a..f180efd284e gh/drisspg/187/base -> origin/gh/drisspg/187/base 2025-08-26T20:06:51.8427116Z 78ef44ee26d..fba172bd85c gh/drisspg/187/head -> origin/gh/drisspg/187/head 2025-08-26T20:06:51.8430550Z + 3b1fb4a34bb...8d9858e4cca gh/drisspg/187/orig -> origin/gh/drisspg/187/orig (forced update) 2025-08-26T20:06:51.8441265Z 356abd0719e..5decc0e164d gh/fduwjj/185/base -> origin/gh/fduwjj/185/base 2025-08-26T20:06:51.8442912Z bafbc39603e..2cd038d95d1 gh/fduwjj/185/head -> origin/gh/fduwjj/185/head 2025-08-26T20:06:51.8444845Z + ee0ba28f3fc...61321206d9d gh/fduwjj/185/orig -> origin/gh/fduwjj/185/orig (forced update) 2025-08-26T20:06:51.8450688Z 515e0c88f34..efdd73cbeb4 gh/guilhermeleobas/163/base -> origin/gh/guilhermeleobas/163/base 2025-08-26T20:06:51.8452575Z 3b20b5835ca..9021600d3df gh/guilhermeleobas/163/head -> origin/gh/guilhermeleobas/163/head 2025-08-26T20:06:51.8454669Z + 9326044b482...ecac0c4a72f gh/guilhermeleobas/163/orig -> origin/gh/guilhermeleobas/163/orig (forced update) 2025-08-26T20:06:51.8456450Z 0d7b0a014cb..6501be9ef11 gh/guilhermeleobas/164/base -> origin/gh/guilhermeleobas/164/base 2025-08-26T20:06:51.8458443Z dd8b784c7f3..c8753d3254d gh/guilhermeleobas/164/head -> origin/gh/guilhermeleobas/164/head 2025-08-26T20:06:51.8460384Z + ae17dc87794...15bc86011f4 gh/guilhermeleobas/164/orig -> origin/gh/guilhermeleobas/164/orig (forced update) 2025-08-26T20:06:51.8462183Z 58831fd8d6b..a692ae94d4e gh/guilhermeleobas/165/base -> origin/gh/guilhermeleobas/165/base 2025-08-26T20:06:51.8464314Z a1dbcc0fe16..117c66a67d6 gh/guilhermeleobas/165/head -> origin/gh/guilhermeleobas/165/head 2025-08-26T20:06:51.8466229Z + bd4e36f18bd...ac86ec09d7e gh/guilhermeleobas/165/orig -> origin/gh/guilhermeleobas/165/orig (forced update) 2025-08-26T20:06:51.8468352Z 10bca21c510..254d6e5769e gh/guilhermeleobas/166/base -> origin/gh/guilhermeleobas/166/base 2025-08-26T20:06:51.8470369Z a3a7969b3c7..0b7a852f028 gh/guilhermeleobas/166/head -> origin/gh/guilhermeleobas/166/head 2025-08-26T20:06:51.8472302Z + 57c243860ac...7a2041646bd gh/guilhermeleobas/166/orig -> origin/gh/guilhermeleobas/166/orig (forced update) 2025-08-26T20:06:51.8474428Z 79b4f26d772..159de41314e gh/guilhermeleobas/169/base -> origin/gh/guilhermeleobas/169/base 2025-08-26T20:06:51.8476496Z 351f48c626f..8728a2ba239 gh/guilhermeleobas/169/head -> origin/gh/guilhermeleobas/169/head 2025-08-26T20:06:51.8478537Z + a2a10e9f614...d7ad561881c gh/guilhermeleobas/169/orig -> origin/gh/guilhermeleobas/169/orig (forced update) 2025-08-26T20:06:51.8480426Z 7e4bc85838d..eaa85f6cbc4 gh/guilhermeleobas/170/base -> origin/gh/guilhermeleobas/170/base 2025-08-26T20:06:51.8482507Z e788bc07cb9..690697d20b5 gh/guilhermeleobas/170/head -> origin/gh/guilhermeleobas/170/head 2025-08-26T20:06:51.8484387Z + 336637c0e10...0e745860301 gh/guilhermeleobas/170/orig -> origin/gh/guilhermeleobas/170/orig (forced update) 2025-08-26T20:06:51.8486366Z c80438d4ef5..f9495775d18 gh/guilhermeleobas/171/base -> origin/gh/guilhermeleobas/171/base 2025-08-26T20:06:51.8488409Z 5a6f5c186a2..8202f428981 gh/guilhermeleobas/171/head -> origin/gh/guilhermeleobas/171/head 2025-08-26T20:06:51.8490302Z + e11f7949f8d...c4331d0a312 gh/guilhermeleobas/171/orig -> origin/gh/guilhermeleobas/171/orig (forced update) 2025-08-26T20:06:51.8492198Z 6838efd596e..5fe95975ea9 gh/guilhermeleobas/173/base -> origin/gh/guilhermeleobas/173/base 2025-08-26T20:06:51.8494150Z d92885cf07b..aed8675f178 gh/guilhermeleobas/173/head -> origin/gh/guilhermeleobas/173/head 2025-08-26T20:06:51.8496117Z + b71bc35d979...27a6f746868 gh/guilhermeleobas/173/orig -> origin/gh/guilhermeleobas/173/orig (forced update) 2025-08-26T20:06:51.8498419Z 55bfa538e14..324bde338d5 gh/guilhermeleobas/204/base -> origin/gh/guilhermeleobas/204/base 2025-08-26T20:06:51.8500502Z 032b6e55c37..bb7f054befe gh/guilhermeleobas/204/head -> origin/gh/guilhermeleobas/204/head 2025-08-26T20:06:51.8502415Z + fac3b4966be...fd4b042f42c gh/guilhermeleobas/204/orig -> origin/gh/guilhermeleobas/204/orig (forced update) 2025-08-26T20:06:51.8506054Z fb72a5acd5f..981eda9f870 gh/guilhermeleobas/225/base -> origin/gh/guilhermeleobas/225/base 2025-08-26T20:06:51.8507332Z 5ce5e013906..2785bdbd66e gh/guilhermeleobas/225/head -> origin/gh/guilhermeleobas/225/head 2025-08-26T20:06:51.8509274Z + 4c97f108f44...42f330f6087 gh/guilhermeleobas/225/orig -> origin/gh/guilhermeleobas/225/orig (forced update) 2025-08-26T20:06:51.8516878Z 69ee93bcdb0..a527ed4185a gh/justinchuby/113/head -> origin/gh/justinchuby/113/head 2025-08-26T20:06:51.8518576Z + e5ac984ffec...58b41523380 gh/justinchuby/113/orig -> origin/gh/justinchuby/113/orig (forced update) 2025-08-26T20:06:51.8520231Z 56aa4ed3278..c233e6a6b35 gh/justinchuby/114/base -> origin/gh/justinchuby/114/base 2025-08-26T20:06:51.8522307Z 9c8fd446c67..a14cdcc8b37 gh/justinchuby/114/head -> origin/gh/justinchuby/114/head 2025-08-26T20:06:51.8524234Z + dad45ce2dab...48782c80f9d gh/justinchuby/114/orig -> origin/gh/justinchuby/114/orig (forced update) 2025-08-26T20:06:51.8528325Z + b27f471a9ef...5e92530c304 gh/kwen2501/215/orig -> origin/gh/kwen2501/215/orig (forced update) 2025-08-26T20:06:51.8530159Z + ae60ac45c1d...40d963baad8 gh/kwen2501/216/orig -> origin/gh/kwen2501/216/orig (forced update) 2025-08-26T20:06:51.8532384Z * [new branch] gh/kwen2501/217/base -> origin/gh/kwen2501/217/base 2025-08-26T20:06:51.8533797Z * [new branch] gh/kwen2501/217/head -> origin/gh/kwen2501/217/head 2025-08-26T20:06:51.8535428Z * [new branch] gh/kwen2501/217/orig -> origin/gh/kwen2501/217/orig 2025-08-26T20:06:51.8537493Z * [new branch] gh/kwen2501/218/base -> origin/gh/kwen2501/218/base 2025-08-26T20:06:51.8538900Z * [new branch] gh/kwen2501/218/head -> origin/gh/kwen2501/218/head 2025-08-26T20:06:51.8540270Z * [new branch] gh/kwen2501/218/orig -> origin/gh/kwen2501/218/orig 2025-08-26T20:06:51.8546881Z e8309feda73..ac6d1f0bc05 gh/manuelcandales/11/head -> origin/gh/manuelcandales/11/head 2025-08-26T20:06:51.8548783Z + 2056b4410ec...2af5cb89fdd gh/manuelcandales/11/orig -> origin/gh/manuelcandales/11/orig (forced update) 2025-08-26T20:06:51.8557513Z 8bb1cf3b718..a9991a4d91c gh/skarjala/19/base -> origin/gh/skarjala/19/base 2025-08-26T20:06:51.8559314Z 4953337a314..6e33f778b0c gh/skarjala/19/head -> origin/gh/skarjala/19/head 2025-08-26T20:06:51.8561177Z + 140c99c3ba2...683dd41058c gh/skarjala/19/orig -> origin/gh/skarjala/19/orig (forced update) 2025-08-26T20:06:51.8566315Z * [new branch] gh/swolchok/809/base -> origin/gh/swolchok/809/base 2025-08-26T20:06:51.8567652Z * [new branch] gh/swolchok/809/head -> origin/gh/swolchok/809/head 2025-08-26T20:06:51.8569020Z * [new branch] gh/swolchok/809/orig -> origin/gh/swolchok/809/orig 2025-08-26T20:06:51.8583347Z ca9fe0107e1..9f6e1b8730d main -> origin/main 2025-08-26T20:06:51.8594502Z + db765712da4...4c234c61996 update_submodule_FBGEMM -> origin/update_submodule_FBGEMM (forced update) 2025-08-26T20:06:51.8597947Z + 37bc0ff54f0...43d6f8b7ad7 update_submodule_kineto -> origin/update_submodule_kineto (forced update) 2025-08-26T20:06:51.8600205Z e7e270a33a3..a72803f1e3c viable/strict -> origin/viable/strict 2025-08-26T20:06:51.8603921Z t [tag update] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-26T20:06:51.8605111Z * [new tag] ciflow/h100-symm-mem/161532 -> ciflow/h100-symm-mem/161532 2025-08-26T20:06:51.8605948Z * [new tag] ciflow/h100-symm-mem/161533 -> ciflow/h100-symm-mem/161533 2025-08-26T20:06:51.8607955Z t [tag update] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-26T20:06:51.8609278Z * [new tag] ciflow/inductor-periodic/161536 -> ciflow/inductor-periodic/161536 2025-08-26T20:06:51.8610725Z t [tag update] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-26T20:06:51.8656193Z * [new tag] ciflow/inductor-rocm/161521 -> ciflow/inductor-rocm/161521 2025-08-26T20:06:51.8657331Z t [tag update] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-26T20:06:51.8658212Z t [tag update] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-26T20:06:51.8659093Z t [tag update] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-26T20:06:51.8659932Z t [tag update] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-26T20:06:51.8660775Z t [tag update] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-26T20:06:51.8662099Z t [tag update] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-26T20:06:51.8662933Z t [tag update] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-26T20:06:51.8663763Z t [tag update] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-26T20:06:51.8664566Z t [tag update] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-26T20:06:51.8665363Z * [new tag] ciflow/inductor/156875 -> ciflow/inductor/156875 2025-08-26T20:06:51.8666164Z t [tag update] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-26T20:06:51.8666990Z t [tag update] ciflow/inductor/157767 -> ciflow/inductor/157767 2025-08-26T20:06:51.8667820Z t [tag update] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-26T20:06:51.8668772Z t [tag update] ciflow/inductor/159387 -> ciflow/inductor/159387 2025-08-26T20:06:51.8669571Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-26T20:06:51.8670365Z t [tag update] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-26T20:06:51.8671150Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-26T20:06:51.8671935Z t [tag update] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-26T20:06:51.8672736Z t [tag update] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-26T20:06:51.8673536Z t [tag update] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-26T20:06:51.8674305Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-08-26T20:06:51.8675099Z t [tag update] ciflow/inductor/161026 -> ciflow/inductor/161026 2025-08-26T20:06:51.8675903Z t [tag update] ciflow/inductor/161097 -> ciflow/inductor/161097 2025-08-26T20:06:51.8676692Z t [tag update] ciflow/inductor/161098 -> ciflow/inductor/161098 2025-08-26T20:06:51.8677509Z t [tag update] ciflow/inductor/161117 -> ciflow/inductor/161117 2025-08-26T20:06:51.8678300Z t [tag update] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-08-26T20:06:51.8679139Z t [tag update] ciflow/inductor/161123 -> ciflow/inductor/161123 2025-08-26T20:06:51.8680027Z t [tag update] ciflow/inductor/161124 -> ciflow/inductor/161124 2025-08-26T20:06:51.8680840Z t [tag update] ciflow/inductor/161125 -> ciflow/inductor/161125 2025-08-26T20:06:51.8681646Z t [tag update] ciflow/inductor/161126 -> ciflow/inductor/161126 2025-08-26T20:06:51.8682435Z t [tag update] ciflow/inductor/161241 -> ciflow/inductor/161241 2025-08-26T20:06:51.8683239Z t [tag update] ciflow/inductor/161314 -> ciflow/inductor/161314 2025-08-26T20:06:51.8684047Z t [tag update] ciflow/inductor/161336 -> ciflow/inductor/161336 2025-08-26T20:06:51.8684853Z t [tag update] ciflow/inductor/161337 -> ciflow/inductor/161337 2025-08-26T20:06:51.8685659Z t [tag update] ciflow/inductor/161338 -> ciflow/inductor/161338 2025-08-26T20:06:51.8686756Z t [tag update] ciflow/inductor/161339 -> ciflow/inductor/161339 2025-08-26T20:06:51.8687587Z t [tag update] ciflow/inductor/161340 -> ciflow/inductor/161340 2025-08-26T20:06:51.8688396Z t [tag update] ciflow/inductor/161341 -> ciflow/inductor/161341 2025-08-26T20:06:51.8689187Z t [tag update] ciflow/inductor/161342 -> ciflow/inductor/161342 2025-08-26T20:06:51.8689992Z t [tag update] ciflow/inductor/161343 -> ciflow/inductor/161343 2025-08-26T20:06:51.8690791Z t [tag update] ciflow/inductor/161344 -> ciflow/inductor/161344 2025-08-26T20:06:51.8691605Z t [tag update] ciflow/inductor/161345 -> ciflow/inductor/161345 2025-08-26T20:06:51.8692682Z t [tag update] ciflow/inductor/161346 -> ciflow/inductor/161346 2025-08-26T20:06:51.8693503Z t [tag update] ciflow/inductor/161347 -> ciflow/inductor/161347 2025-08-26T20:06:51.8694323Z t [tag update] ciflow/inductor/161348 -> ciflow/inductor/161348 2025-08-26T20:06:51.8695116Z t [tag update] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-08-26T20:06:51.8695918Z t [tag update] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-08-26T20:06:51.8696711Z t [tag update] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-08-26T20:06:51.8697517Z t [tag update] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-08-26T20:06:51.8698322Z t [tag update] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-08-26T20:06:51.8699119Z t [tag update] ciflow/inductor/161452 -> ciflow/inductor/161452 2025-08-26T20:06:51.8699949Z t [tag update] ciflow/inductor/161453 -> ciflow/inductor/161453 2025-08-26T20:06:51.8700741Z t [tag update] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-08-26T20:06:51.8701558Z t [tag update] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-08-26T20:06:51.8702365Z t [tag update] ciflow/inductor/161474 -> ciflow/inductor/161474 2025-08-26T20:06:51.8703169Z t [tag update] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-08-26T20:06:51.8703950Z * [new tag] ciflow/inductor/161521 -> ciflow/inductor/161521 2025-08-26T20:06:51.8704695Z * [new tag] ciflow/inductor/161526 -> ciflow/inductor/161526 2025-08-26T20:06:51.8705474Z * [new tag] ciflow/inductor/161530 -> ciflow/inductor/161530 2025-08-26T20:06:51.8705977Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-08-26T20:06:51.8706373Z * [new tag] ciflow/inductor/161536 -> ciflow/inductor/161536 2025-08-26T20:06:51.8708675Z t [tag update] ciflow/mps/161511 -> ciflow/mps/161511 2025-08-26T20:06:51.8709713Z * [new tag] ciflow/periodic/156491 -> ciflow/periodic/156491 2025-08-26T20:06:51.8711137Z * [new tag] ciflow/rocm-mi300/161429 -> ciflow/rocm-mi300/161429 2025-08-26T20:06:51.8712618Z t [tag update] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-26T20:06:51.8713724Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-26T20:06:51.8714693Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-26T20:06:51.8715699Z * [new tag] ciflow/rocm/161429 -> ciflow/rocm/161429 2025-08-26T20:06:51.8717098Z t [tag update] ciflow/slow/161182 -> ciflow/slow/161182 2025-08-26T20:06:51.8718725Z t [tag update] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-26T20:06:51.8719524Z * [new tag] ciflow/trunk/154864 -> ciflow/trunk/154864 2025-08-26T20:06:51.8720831Z t [tag update] ciflow/trunk/157767 -> ciflow/trunk/157767 2025-08-26T20:06:51.8722618Z t [tag update] ciflow/trunk/159387 -> ciflow/trunk/159387 2025-08-26T20:06:51.8723394Z * [new tag] ciflow/trunk/159786 -> ciflow/trunk/159786 2025-08-26T20:06:51.8724285Z t [tag update] ciflow/trunk/160156 -> ciflow/trunk/160156 2025-08-26T20:06:51.8725559Z t [tag update] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-26T20:06:51.8727047Z t [tag update] ciflow/trunk/160448 -> ciflow/trunk/160448 2025-08-26T20:06:51.8728222Z t [tag update] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-08-26T20:06:51.8729030Z * [new tag] ciflow/trunk/160781 -> ciflow/trunk/160781 2025-08-26T20:06:51.8730103Z * [new tag] ciflow/trunk/160992 -> ciflow/trunk/160992 2025-08-26T20:06:51.8731156Z * [new tag] ciflow/trunk/161023 -> ciflow/trunk/161023 2025-08-26T20:06:51.8732351Z t [tag update] ciflow/trunk/161026 -> ciflow/trunk/161026 2025-08-26T20:06:51.8733306Z * [new tag] ciflow/trunk/161094 -> ciflow/trunk/161094 2025-08-26T20:06:51.8734512Z t [tag update] ciflow/trunk/161097 -> ciflow/trunk/161097 2025-08-26T20:06:51.8735851Z t [tag update] ciflow/trunk/161098 -> ciflow/trunk/161098 2025-08-26T20:06:51.8737115Z t [tag update] ciflow/trunk/161117 -> ciflow/trunk/161117 2025-08-26T20:06:51.8738469Z t [tag update] ciflow/trunk/161123 -> ciflow/trunk/161123 2025-08-26T20:06:51.8739720Z t [tag update] ciflow/trunk/161124 -> ciflow/trunk/161124 2025-08-26T20:06:51.8740848Z t [tag update] ciflow/trunk/161126 -> ciflow/trunk/161126 2025-08-26T20:06:51.8741904Z * [new tag] ciflow/trunk/161236 -> ciflow/trunk/161236 2025-08-26T20:06:51.8743140Z t [tag update] ciflow/trunk/161241 -> ciflow/trunk/161241 2025-08-26T20:06:51.8744318Z * [new tag] ciflow/trunk/161306 -> ciflow/trunk/161306 2025-08-26T20:06:51.8745091Z * [new tag] ciflow/trunk/161385 -> ciflow/trunk/161385 2025-08-26T20:06:51.8746688Z t [tag update] ciflow/trunk/161437 -> ciflow/trunk/161437 2025-08-26T20:06:51.8747754Z * [new tag] ciflow/trunk/161451 -> ciflow/trunk/161451 2025-08-26T20:06:51.8748576Z * [new tag] ciflow/trunk/161453 -> ciflow/trunk/161453 2025-08-26T20:06:51.8749930Z * [new tag] ciflow/trunk/161454 -> ciflow/trunk/161454 2025-08-26T20:06:51.8750816Z * [new tag] ciflow/trunk/161517 -> ciflow/trunk/161517 2025-08-26T20:06:51.8752732Z * [new tag] trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1 -> trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1 2025-08-26T20:06:51.8754249Z * [new tag] trunk/262640fd220236042fbf4443cc163c8838c84c3d -> trunk/262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:06:51.8755679Z * [new tag] trunk/46576f5a164fcf95ec7fceaa13516bcb1ca4f6ab -> trunk/46576f5a164fcf95ec7fceaa13516bcb1ca4f6ab 2025-08-26T20:06:51.8757113Z * [new tag] trunk/6598f00c18dfcc4fc50427305b6b5724e617246f -> trunk/6598f00c18dfcc4fc50427305b6b5724e617246f 2025-08-26T20:06:51.8758549Z * [new tag] trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1 -> trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1 2025-08-26T20:06:51.8759971Z * [new tag] trunk/77bc959fe122bfd131e339ca36cab445a1860806 -> trunk/77bc959fe122bfd131e339ca36cab445a1860806 2025-08-26T20:06:51.8761395Z * [new tag] trunk/9f6e1b8730d6a7a7d012be90ae08674294aa4933 -> trunk/9f6e1b8730d6a7a7d012be90ae08674294aa4933 2025-08-26T20:06:51.8762840Z * [new tag] trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b -> trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b 2025-08-26T20:06:51.8764749Z * [new tag] trunk/caf98fde0d5c47452af45dc77099449edd521579 -> trunk/caf98fde0d5c47452af45dc77099449edd521579 2025-08-26T20:06:51.8766204Z * [new tag] trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138 -> trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138 2025-08-26T20:06:51.8767596Z * [new tag] trunk/d2bd55d8de784df439b38378f161271dc43b744c -> trunk/d2bd55d8de784df439b38378f161271dc43b744c 2025-08-26T20:06:51.8768994Z * [new tag] trunk/d4703fb91c3510460d71f648da113177edf593c8 -> trunk/d4703fb91c3510460d71f648da113177edf593c8 2025-08-26T20:06:51.8770401Z * [new tag] trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999 -> trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999 2025-08-26T20:06:51.9637015Z [command]/usr/bin/git rev-parse --verify --quiet 262640fd220236042fbf4443cc163c8838c84c3d^{object} 2025-08-26T20:06:51.9686738Z 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:06:51.9696397Z ##[endgroup] 2025-08-26T20:06:51.9697254Z ##[group]Determining the checkout info 2025-08-26T20:06:51.9699009Z ##[endgroup] 2025-08-26T20:06:51.9708589Z [command]/usr/bin/git sparse-checkout disable 2025-08-26T20:06:52.0013589Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-26T20:06:52.0069778Z ##[group]Checking out the ref 2025-08-26T20:06:52.0077292Z [command]/usr/bin/git checkout --progress --force 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:06:52.1998393Z Previous HEAD position was 59333da0c23 nit 2025-08-26T20:06:52.2003842Z HEAD is now at 262640fd220 [ROCm][CI] restore test_flex_attention tests (#161519) 2025-08-26T20:06:52.2050555Z ##[endgroup] 2025-08-26T20:06:52.2051271Z ##[group]Setting up auth for fetching submodules 2025-08-26T20:06:52.2058854Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-26T20:06:52.2121214Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-26T20:06:52.2163816Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-26T20:06:52.2219776Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-26T20:06:52.2274427Z ##[endgroup] 2025-08-26T20:06:52.2275239Z ##[group]Fetching submodules 2025-08-26T20:06:52.2280327Z [command]/usr/bin/git submodule sync --recursive 2025-08-26T20:06:52.2689575Z Synchronizing submodule url for 'android/libs/fbjni' 2025-08-26T20:06:52.2755030Z Synchronizing submodule url for 'third_party/FP16' 2025-08-26T20:06:52.2819059Z Synchronizing submodule url for 'third_party/FXdiv' 2025-08-26T20:06:52.2874597Z Synchronizing submodule url for 'third_party/NNPACK' 2025-08-26T20:06:52.2942339Z Synchronizing submodule url for 'third_party/NVTX' 2025-08-26T20:06:52.2995452Z Synchronizing submodule url for 'third_party/VulkanMemoryAllocator' 2025-08-26T20:06:52.3050069Z Synchronizing submodule url for 'third_party/XNNPACK' 2025-08-26T20:06:52.3124549Z Synchronizing submodule url for 'third_party/aiter' 2025-08-26T20:06:52.3182756Z Synchronizing submodule url for 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T20:06:52.3254707Z Synchronizing submodule url for 'third_party/benchmark' 2025-08-26T20:06:52.3317477Z Synchronizing submodule url for 'third_party/composable_kernel' 2025-08-26T20:06:52.3383177Z Synchronizing submodule url for 'third_party/cpp-httplib' 2025-08-26T20:06:52.3451764Z Synchronizing submodule url for 'third_party/cpuinfo' 2025-08-26T20:06:52.3526596Z Synchronizing submodule url for 'third_party/cudnn_frontend' 2025-08-26T20:06:52.3593563Z Synchronizing submodule url for 'third_party/cutlass' 2025-08-26T20:06:52.3684549Z Synchronizing submodule url for 'third_party/fbgemm' 2025-08-26T20:06:52.3746012Z Synchronizing submodule url for 'third_party/fbgemm/external/asmjit' 2025-08-26T20:06:52.3810912Z Synchronizing submodule url for 'third_party/fbgemm/external/composable_kernel' 2025-08-26T20:06:52.3889406Z Synchronizing submodule url for 'third_party/fbgemm/external/cpuinfo' 2025-08-26T20:06:52.3956011Z Synchronizing submodule url for 'third_party/fbgemm/external/cutlass' 2025-08-26T20:06:52.4033626Z Synchronizing submodule url for 'third_party/fbgemm/external/googletest' 2025-08-26T20:06:52.4099716Z Synchronizing submodule url for 'third_party/fbgemm/external/hipify_torch' 2025-08-26T20:06:52.4155000Z Synchronizing submodule url for 'third_party/fbgemm/external/json' 2025-08-26T20:06:52.4232724Z Synchronizing submodule url for 'third_party/flash-attention' 2025-08-26T20:06:52.4300099Z Synchronizing submodule url for 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T20:06:52.4372350Z Synchronizing submodule url for 'third_party/flash-attention/csrc/cutlass' 2025-08-26T20:06:52.4450003Z Synchronizing submodule url for 'third_party/flatbuffers' 2025-08-26T20:06:52.4519739Z Synchronizing submodule url for 'third_party/fmt' 2025-08-26T20:06:52.4598014Z Synchronizing submodule url for 'third_party/gemmlowp/gemmlowp' 2025-08-26T20:06:52.4662816Z Synchronizing submodule url for 'third_party/gloo' 2025-08-26T20:06:52.4735684Z Synchronizing submodule url for 'third_party/googletest' 2025-08-26T20:06:52.4802773Z Synchronizing submodule url for 'third_party/ideep' 2025-08-26T20:06:52.4868950Z Synchronizing submodule url for 'third_party/ideep/mkl-dnn' 2025-08-26T20:06:52.4948551Z Synchronizing submodule url for 'third_party/ittapi' 2025-08-26T20:06:52.5015237Z Synchronizing submodule url for 'third_party/kineto' 2025-08-26T20:06:52.5085800Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T20:06:52.5153841Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T20:06:52.5214700Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T20:06:52.5278318Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T20:06:52.5343829Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T20:06:52.5395762Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T20:06:52.5476543Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T20:06:52.5544062Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T20:06:52.5611089Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T20:06:52.5683632Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T20:06:52.5757726Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T20:06:52.5834711Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T20:06:52.5901394Z Synchronizing submodule url for 'third_party/kleidiai' 2025-08-26T20:06:52.5960232Z Synchronizing submodule url for 'third_party/mimalloc' 2025-08-26T20:06:52.6027925Z Synchronizing submodule url for 'third_party/nlohmann' 2025-08-26T20:06:52.6089005Z Synchronizing submodule url for 'third_party/onnx' 2025-08-26T20:06:52.6172932Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11' 2025-08-26T20:06:52.6234764Z Synchronizing submodule url for 'third_party/opentelemetry-cpp' 2025-08-26T20:06:52.6296617Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T20:06:52.6362440Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T20:06:52.6421789Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T20:06:52.6478619Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T20:06:52.6542804Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T20:06:52.6603987Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T20:06:52.6664891Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T20:06:52.6723028Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T20:06:52.6782252Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T20:06:52.6848859Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T20:06:52.6930231Z Synchronizing submodule url for 'third_party/pocketfft' 2025-08-26T20:06:52.7000026Z Synchronizing submodule url for 'third_party/protobuf' 2025-08-26T20:06:52.7062544Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark' 2025-08-26T20:06:52.7124546Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest' 2025-08-26T20:06:52.7186099Z Synchronizing submodule url for 'third_party/psimd' 2025-08-26T20:06:52.7254886Z Synchronizing submodule url for 'third_party/pthreadpool' 2025-08-26T20:06:52.7319259Z Synchronizing submodule url for 'third_party/pybind11' 2025-08-26T20:06:52.7399285Z Synchronizing submodule url for 'third_party/python-peachpy' 2025-08-26T20:06:52.7459506Z Synchronizing submodule url for 'third_party/sleef' 2025-08-26T20:06:52.7533425Z Synchronizing submodule url for 'third_party/tensorpipe' 2025-08-26T20:06:52.7592698Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest' 2025-08-26T20:06:52.7656411Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop' 2025-08-26T20:06:52.7712769Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv' 2025-08-26T20:06:52.7776359Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T20:06:52.7833732Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T20:06:52.7922271Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-26T20:06:52.8693695Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-26T20:06:52.9135158Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-26T20:06:52.9516444Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-26T20:06:53.0121503Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-26T20:06:53.1264018Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-26T20:06:53.1982369Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-26T20:06:53.3280210Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-26T20:06:53.5618481Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-26T20:06:53.8627224Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-26T20:06:53.9252675Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-26T20:06:54.0821021Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-26T20:06:54.1815305Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-26T20:06:54.3316201Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-26T20:06:54.4176402Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-26T20:06:54.5153102Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-26T20:06:54.6541653Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-26T20:06:54.7441672Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-26T20:06:55.0352913Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-26T20:06:55.1860287Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-26T20:06:55.9556816Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-26T20:06:56.0287448Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-26T20:06:56.0714697Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-26T20:06:56.1965961Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-26T20:06:56.2965488Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-26T20:06:56.5646199Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-26T20:06:56.8644509Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-26T20:06:57.1107069Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-26T20:06:57.1796679Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-26T20:06:57.2525086Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-26T20:06:57.3115566Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-26T20:06:57.3842686Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-26T20:06:57.4288009Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-26T20:06:58.1109164Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-26T20:06:58.1743343Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-26T20:06:58.2924587Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-26T20:06:58.4589929Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-26T20:06:58.6578274Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-26T20:06:58.7104406Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-26T20:06:58.7518254Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-26T20:06:58.7967298Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-26T20:06:58.8348879Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-26T20:06:58.8810473Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-26T20:06:58.9494721Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-26T20:06:59.0705071Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-26T20:06:59.1217126Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-26T20:06:59.1859158Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-26T20:06:59.2556049Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-26T20:06:59.3346650Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-26T20:06:59.4204708Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-26T20:06:59.5610929Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-26T20:06:59.7733081Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-26T20:06:59.8461789Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-26T20:06:59.9472641Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-26T20:06:59.9921014Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-26T20:07:00.0563948Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-26T20:07:00.0893046Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-08-26T20:07:00.1289044Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-08-26T20:07:00.1654894Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-08-26T20:07:00.2035992Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-08-26T20:07:00.2387181Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-08-26T20:07:00.5141424Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-08-26T20:07:00.5849634Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-08-26T20:07:00.6676691Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-08-26T20:07:00.7160298Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-08-26T20:07:00.9953594Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-08-26T20:07:01.0434238Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-08-26T20:07:01.1173066Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-08-26T20:07:01.1585847Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-08-26T20:07:01.2055992Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-08-26T20:07:01.2792623Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-08-26T20:07:01.3405247Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-08-26T20:07:01.4239645Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-08-26T20:07:01.4781524Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075' 2025-08-26T20:07:01.5507122Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-08-26T20:07:01.5922233Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-08-26T20:07:01.6604554Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-08-26T20:07:01.7207084Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-08-26T20:07:01.7535881Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2025-08-26T20:07:01.7687162Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-08-26T20:07:01.8034977Z Entering 'android/libs/fbjni' 2025-08-26T20:07:01.8107541Z Entering 'third_party/FP16' 2025-08-26T20:07:01.8170260Z Entering 'third_party/FXdiv' 2025-08-26T20:07:01.8217208Z Entering 'third_party/NNPACK' 2025-08-26T20:07:01.8264145Z Entering 'third_party/NVTX' 2025-08-26T20:07:01.8316761Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-26T20:07:01.8365496Z Entering 'third_party/XNNPACK' 2025-08-26T20:07:01.8437422Z Entering 'third_party/aiter' 2025-08-26T20:07:01.8481958Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T20:07:01.8542302Z Entering 'third_party/benchmark' 2025-08-26T20:07:01.8607537Z Entering 'third_party/composable_kernel' 2025-08-26T20:07:01.8673009Z Entering 'third_party/cpp-httplib' 2025-08-26T20:07:01.8723297Z Entering 'third_party/cpuinfo' 2025-08-26T20:07:01.8778669Z Entering 'third_party/cudnn_frontend' 2025-08-26T20:07:01.8832221Z Entering 'third_party/cutlass' 2025-08-26T20:07:01.8898533Z Entering 'third_party/fbgemm' 2025-08-26T20:07:01.8960348Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-26T20:07:01.9016510Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-26T20:07:01.9086510Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-26T20:07:01.9134295Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-26T20:07:01.9194569Z Entering 'third_party/fbgemm/external/googletest' 2025-08-26T20:07:01.9257584Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-26T20:07:01.9309039Z Entering 'third_party/fbgemm/external/json' 2025-08-26T20:07:01.9373298Z Entering 'third_party/flash-attention' 2025-08-26T20:07:01.9432105Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T20:07:01.9491807Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-26T20:07:01.9546575Z Entering 'third_party/flatbuffers' 2025-08-26T20:07:01.9587637Z Entering 'third_party/fmt' 2025-08-26T20:07:01.9624824Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-26T20:07:01.9674738Z Entering 'third_party/gloo' 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T20:07:02.1778420Z ##[endgroup] 2025-08-26T20:07:02.1779164Z ##[group]Persisting credentials for submodules 2025-08-26T20:07:02.1789597Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :" 2025-08-26T20:07:02.2175066Z Entering 'android/libs/fbjni' 2025-08-26T20:07:02.2221963Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2222630Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2268333Z Entering 'third_party/FP16' 2025-08-26T20:07:02.2297923Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2298598Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2355363Z Entering 'third_party/FXdiv' 2025-08-26T20:07:02.2398040Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2398711Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2437944Z Entering 'third_party/NNPACK' 2025-08-26T20:07:02.2464485Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2465165Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2502644Z Entering 'third_party/NVTX' 2025-08-26T20:07:02.2531398Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2532618Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2580181Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-26T20:07:02.2609337Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2609999Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2641187Z Entering 'third_party/XNNPACK' 2025-08-26T20:07:02.2664903Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2665546Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2719411Z Entering 'third_party/aiter' 2025-08-26T20:07:02.2748378Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2749047Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2785897Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T20:07:02.2810399Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2811638Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2854568Z Entering 'third_party/benchmark' 2025-08-26T20:07:02.2876392Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2877030Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2908364Z Entering 'third_party/composable_kernel' 2025-08-26T20:07:02.2931960Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2932618Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2970226Z Entering 'third_party/cpp-httplib' 2025-08-26T20:07:02.2991509Z url.https://github.com/.insteadof 2025-08-26T20:07:02.2992164Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3028801Z Entering 'third_party/cpuinfo' 2025-08-26T20:07:02.3054926Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3055606Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3097722Z Entering 'third_party/cudnn_frontend' 2025-08-26T20:07:02.3126014Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3126665Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3176829Z Entering 'third_party/cutlass' 2025-08-26T20:07:02.3208070Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3208721Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3259372Z Entering 'third_party/fbgemm' 2025-08-26T20:07:02.3293823Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3294492Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3344616Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-26T20:07:02.3373343Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3374017Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3420233Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-26T20:07:02.3454853Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3455516Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3499249Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-26T20:07:02.3524131Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3524795Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3555859Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-26T20:07:02.3574025Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3574703Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3628521Z Entering 'third_party/fbgemm/external/googletest' 2025-08-26T20:07:02.3663225Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3663893Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3696228Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-26T20:07:02.3715616Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3716287Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3745664Z Entering 'third_party/fbgemm/external/json' 2025-08-26T20:07:02.3770156Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3770802Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3805810Z Entering 'third_party/flash-attention' 2025-08-26T20:07:02.3835448Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3836093Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3874688Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T20:07:02.3904594Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3905259Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3944235Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-26T20:07:02.3970881Z url.https://github.com/.insteadof 2025-08-26T20:07:02.3971667Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4020404Z Entering 'third_party/flatbuffers' 2025-08-26T20:07:02.4046053Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4046716Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4081736Z Entering 'third_party/fmt' 2025-08-26T20:07:02.4102734Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4103428Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4140064Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-26T20:07:02.4163312Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4163978Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4193503Z Entering 'third_party/gloo' 2025-08-26T20:07:02.4219602Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4220173Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4254652Z Entering 'third_party/googletest' 2025-08-26T20:07:02.4284185Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4284682Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4327419Z Entering 'third_party/ideep' 2025-08-26T20:07:02.4353676Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4354348Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4398375Z Entering 'third_party/ideep/mkl-dnn' 2025-08-26T20:07:02.4435236Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4435811Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4483536Z Entering 'third_party/ittapi' 2025-08-26T20:07:02.4515428Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4516093Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4553686Z Entering 'third_party/kineto' 2025-08-26T20:07:02.4581949Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4582523Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4611911Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T20:07:02.4636035Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4636560Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4664063Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T20:07:02.4686057Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4686566Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4725378Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T20:07:02.4755294Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4755819Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4794821Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T20:07:02.4814892Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4815401Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4858644Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T20:07:02.4891499Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4891991Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4939369Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T20:07:02.4970960Z url.https://github.com/.insteadof 2025-08-26T20:07:02.4971486Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5011989Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T20:07:02.5044450Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5044956Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5081248Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T20:07:02.5101500Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5102013Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5137193Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T20:07:02.5165456Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5165989Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5206376Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T20:07:02.5237016Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5237522Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5280352Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T20:07:02.5300165Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5300701Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5339902Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T20:07:02.5366442Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5366953Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5407075Z Entering 'third_party/kleidiai' 2025-08-26T20:07:02.5431202Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5431709Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5483688Z Entering 'third_party/mimalloc' 2025-08-26T20:07:02.5507130Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5507999Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5549980Z Entering 'third_party/nlohmann' 2025-08-26T20:07:02.5587900Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5588484Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5636675Z Entering 'third_party/onnx' 2025-08-26T20:07:02.5666386Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5666919Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5744188Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-26T20:07:02.5784719Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5785104Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5849277Z Entering 'third_party/opentelemetry-cpp' 2025-08-26T20:07:02.5885774Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5886261Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5929222Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T20:07:02.5964749Z url.https://github.com/.insteadof 2025-08-26T20:07:02.5965332Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6008551Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T20:07:02.6031486Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6032120Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6081220Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T20:07:02.6104468Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6104976Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6150827Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T20:07:02.6174281Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6174904Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6218323Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T20:07:02.6246687Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6247169Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6281481Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T20:07:02.6300990Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6301469Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6329512Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T20:07:02.6347950Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6348591Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6394782Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T20:07:02.6424352Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6424904Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6476528Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T20:07:02.6503377Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6503716Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6547965Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T20:07:02.6571323Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6571888Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6654010Z Entering 'third_party/pocketfft' 2025-08-26T20:07:02.6687040Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6687602Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6737113Z Entering 'third_party/protobuf' 2025-08-26T20:07:02.6771548Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6772092Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6814905Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-26T20:07:02.6845277Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6845833Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6884111Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-26T20:07:02.6915442Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6915978Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6960877Z Entering 'third_party/psimd' 2025-08-26T20:07:02.6991160Z url.https://github.com/.insteadof 2025-08-26T20:07:02.6991669Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7035408Z Entering 'third_party/pthreadpool' 2025-08-26T20:07:02.7071290Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7071810Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7122069Z Entering 'third_party/pybind11' 2025-08-26T20:07:02.7155226Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7155784Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7204629Z Entering 'third_party/python-peachpy' 2025-08-26T20:07:02.7241354Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7241892Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7294651Z Entering 'third_party/sleef' 2025-08-26T20:07:02.7328098Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7328606Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7366247Z Entering 'third_party/tensorpipe' 2025-08-26T20:07:02.7390314Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7390807Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7427000Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T20:07:02.7453489Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7454015Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7487136Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T20:07:02.7505909Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7506415Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7556828Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T20:07:02.7580930Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7581413Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7631938Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T20:07:02.7662070Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7662577Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7690165Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T20:07:02.7719051Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7719558Z url.https://github.com/.insteadof 2025-08-26T20:07:02.7806907Z [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" 2025-08-26T20:07:02.8203560Z Entering 'android/libs/fbjni' 2025-08-26T20:07:02.8269245Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-08-26T20:07:02.8309047Z Entering 'third_party/FP16' 2025-08-26T20:07:02.8367085Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-08-26T20:07:02.8395245Z Entering 'third_party/FXdiv' 2025-08-26T20:07:02.8440925Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-08-26T20:07:02.8468456Z Entering 'third_party/NNPACK' 2025-08-26T20:07:02.8517203Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-08-26T20:07:02.8535029Z Entering 'third_party/NVTX' 2025-08-26T20:07:02.8569724Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-08-26T20:07:02.8599384Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-26T20:07:02.8637599Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-08-26T20:07:02.8655070Z Entering 'third_party/XNNPACK' 2025-08-26T20:07:02.8692592Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-08-26T20:07:02.8729878Z Entering 'third_party/aiter' 2025-08-26T20:07:02.8797421Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-08-26T20:07:02.8826452Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T20:07:02.8889272Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-08-26T20:07:02.8924855Z Entering 'third_party/benchmark' 2025-08-26T20:07:02.8971085Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-08-26T20:07:02.8997808Z Entering 'third_party/composable_kernel' 2025-08-26T20:07:02.9048782Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-08-26T20:07:02.9075799Z Entering 'third_party/cpp-httplib' 2025-08-26T20:07:02.9121317Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-08-26T20:07:02.9139752Z Entering 'third_party/cpuinfo' 2025-08-26T20:07:02.9184473Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-08-26T20:07:02.9210285Z Entering 'third_party/cudnn_frontend' 2025-08-26T20:07:02.9261370Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-08-26T20:07:02.9287377Z Entering 'third_party/cutlass' 2025-08-26T20:07:02.9338596Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-08-26T20:07:02.9378478Z Entering 'third_party/fbgemm' 2025-08-26T20:07:02.9436000Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-08-26T20:07:02.9467325Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-26T20:07:02.9515445Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-08-26T20:07:02.9532309Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-26T20:07:02.9568691Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-08-26T20:07:02.9597777Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-26T20:07:02.9630600Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-08-26T20:07:02.9651251Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-26T20:07:02.9704237Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-08-26T20:07:02.9743897Z Entering 'third_party/fbgemm/external/googletest' 2025-08-26T20:07:02.9793974Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-08-26T20:07:02.9823360Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-26T20:07:02.9867959Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-08-26T20:07:02.9886929Z Entering 'third_party/fbgemm/external/json' 2025-08-26T20:07:02.9928182Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-08-26T20:07:02.9963116Z Entering 'third_party/flash-attention' 2025-08-26T20:07:03.0009793Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-08-26T20:07:03.0039293Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T20:07:03.0079159Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-08-26T20:07:03.0108577Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-26T20:07:03.0154360Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-08-26T20:07:03.0196257Z Entering 'third_party/flatbuffers' 2025-08-26T20:07:03.0243057Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-08-26T20:07:03.0276710Z Entering 'third_party/fmt' 2025-08-26T20:07:03.0333889Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-08-26T20:07:03.0362909Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-26T20:07:03.0412327Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-08-26T20:07:03.0443193Z Entering 'third_party/gloo' 2025-08-26T20:07:03.0488398Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-08-26T20:07:03.0520190Z Entering 'third_party/googletest' 2025-08-26T20:07:03.0568101Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-08-26T20:07:03.0588763Z Entering 'third_party/ideep' 2025-08-26T20:07:03.0628400Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-08-26T20:07:03.0646577Z Entering 'third_party/ideep/mkl-dnn' 2025-08-26T20:07:03.0694644Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-08-26T20:07:03.0733716Z Entering 'third_party/ittapi' 2025-08-26T20:07:03.0782794Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-08-26T20:07:03.0802604Z Entering 'third_party/kineto' 2025-08-26T20:07:03.0846311Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-08-26T20:07:03.0871710Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T20:07:03.0917425Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-08-26T20:07:03.0940496Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T20:07:03.0990158Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-08-26T20:07:03.1023589Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T20:07:03.1073513Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-08-26T20:07:03.1102169Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T20:07:03.1161759Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-08-26T20:07:03.1187207Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T20:07:03.1239816Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-08-26T20:07:03.1256363Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T20:07:03.1302858Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-08-26T20:07:03.1330823Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T20:07:03.1380382Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-08-26T20:07:03.1407669Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T20:07:03.1446929Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-08-26T20:07:03.1476709Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T20:07:03.1516551Z file:/home/pytorchci/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-08-26T20:07:03.1559588Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T20:07:03.1571101Z 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T20:07:03.8887069Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-26T20:07:03.9274566Z Entering 'android/libs/fbjni' 2025-08-26T20:07:03.9339278Z Entering 'third_party/FP16' 2025-08-26T20:07:03.9397024Z Entering 'third_party/FXdiv' 2025-08-26T20:07:03.9448747Z Entering 'third_party/NNPACK' 2025-08-26T20:07:03.9495699Z Entering 'third_party/NVTX' 2025-08-26T20:07:03.9547472Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-26T20:07:03.9598766Z Entering 'third_party/XNNPACK' 2025-08-26T20:07:03.9674122Z Entering 'third_party/aiter' 2025-08-26T20:07:03.9724136Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T20:07:03.9794252Z Entering 'third_party/benchmark' 2025-08-26T20:07:03.9843669Z Entering 'third_party/composable_kernel' 2025-08-26T20:07:03.9906438Z Entering 'third_party/cpp-httplib' 2025-08-26T20:07:03.9959706Z Entering 'third_party/cpuinfo' 2025-08-26T20:07:04.0006331Z Entering 'third_party/cudnn_frontend' 2025-08-26T20:07:04.0047516Z Entering 'third_party/cutlass' 2025-08-26T20:07:04.0129415Z Entering 'third_party/fbgemm' 2025-08-26T20:07:04.0192921Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-26T20:07:04.0253636Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-26T20:07:04.0315275Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-26T20:07:04.0374386Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-26T20:07:04.0444238Z Entering 'third_party/fbgemm/external/googletest' 2025-08-26T20:07:04.0488573Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-26T20:07:04.0536446Z Entering 'third_party/fbgemm/external/json' 2025-08-26T20:07:04.0579275Z Entering 'third_party/flash-attention' 2025-08-26T20:07:04.0629551Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T20:07:04.0691311Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-26T20:07:04.0764214Z Entering 'third_party/flatbuffers' 2025-08-26T20:07:04.0827994Z Entering 'third_party/fmt' 2025-08-26T20:07:04.0884511Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-26T20:07:04.0940635Z Entering 'third_party/gloo' 2025-08-26T20:07:04.0993388Z Entering 'third_party/googletest' 2025-08-26T20:07:04.1054750Z Entering 'third_party/ideep' 2025-08-26T20:07:04.1116439Z Entering 'third_party/ideep/mkl-dnn' 2025-08-26T20:07:04.1172664Z Entering 'third_party/ittapi' 2025-08-26T20:07:04.1231044Z Entering 'third_party/kineto' 2025-08-26T20:07:04.1293686Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T20:07:04.1350691Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T20:07:04.1410632Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T20:07:04.1460282Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T20:07:04.1493335Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T20:07:04.1541155Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T20:07:04.1594742Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T20:07:04.1627836Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T20:07:04.1660835Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T20:07:04.1694480Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T20:07:04.1741319Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T20:07:04.1785145Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T20:07:04.1832763Z Entering 'third_party/kleidiai' 2025-08-26T20:07:04.1871453Z Entering 'third_party/mimalloc' 2025-08-26T20:07:04.1911443Z Entering 'third_party/nlohmann' 2025-08-26T20:07:04.1965865Z Entering 'third_party/onnx' 2025-08-26T20:07:04.2028785Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-26T20:07:04.2090622Z Entering 'third_party/opentelemetry-cpp' 2025-08-26T20:07:04.2137611Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T20:07:04.2183199Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T20:07:04.2229476Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T20:07:04.2272968Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T20:07:04.2315242Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T20:07:04.2361131Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T20:07:04.2402692Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T20:07:04.2444478Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T20:07:04.2494698Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T20:07:04.2540453Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T20:07:04.2605432Z Entering 'third_party/pocketfft' 2025-08-26T20:07:04.2654546Z Entering 'third_party/protobuf' 2025-08-26T20:07:04.2711735Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-26T20:07:04.2761269Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-26T20:07:04.2807492Z Entering 'third_party/psimd' 2025-08-26T20:07:04.2858625Z Entering 'third_party/pthreadpool' 2025-08-26T20:07:04.2915160Z Entering 'third_party/pybind11' 2025-08-26T20:07:04.2966247Z Entering 'third_party/python-peachpy' 2025-08-26T20:07:04.3008680Z Entering 'third_party/sleef' 2025-08-26T20:07:04.3063582Z Entering 'third_party/tensorpipe' 2025-08-26T20:07:04.3115272Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T20:07:04.3178079Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T20:07:04.3238782Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T20:07:04.3294314Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T20:07:04.3357195Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T20:07:04.3443706Z ##[endgroup] 2025-08-26T20:07:04.3520234Z [command]/usr/bin/git log -1 --format=%H 2025-08-26T20:07:04.3559080Z 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:07:04.3817217Z Prepare all required actions 2025-08-26T20:07:04.3817934Z Getting action download info 2025-08-26T20:07:04.5619904Z ##[group]Run ./.github/actions/setup-rocm 2025-08-26T20:07:04.5620432Z env: 2025-08-26T20:07:04.5620783Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:04.5621199Z ##[endgroup] 2025-08-26T20:07:04.5663073Z ##[group]Run dpkg -l | grep -E " rocm" 2025-08-26T20:07:04.5663646Z dpkg -l | grep -E " rocm" 2025-08-26T20:07:04.5719540Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:04.5720195Z env: 2025-08-26T20:07:04.5720551Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:04.5720990Z ##[endgroup] 2025-08-26T20:07:04.6041971Z ii rocm 6.2.1.60201-112~22.04 amd64 Radeon Open Compute (ROCm) software stack meta package 2025-08-26T20:07:04.6043336Z ii rocm-cmake 0.13.0.60201-112~22.04 amd64 rocm-cmake built using CMake 2025-08-26T20:07:04.6044514Z ii rocm-core 6.2.1.60201-112~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-26T20:07:04.6045620Z ii rocm-dbgapi 0.76.0.60201-112~22.04 amd64 Library to provide AMD GPU debugger API 2025-08-26T20:07:04.6046761Z ii rocm-debug-agent 2.0.3.60201-112~22.04 amd64 Radeon Open Compute Debug Agent (ROCdebug-agent) 2025-08-26T20:07:04.6048267Z ii rocm-developer-tools 6.2.1.60201-112~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-26T20:07:04.6049562Z ii rocm-device-libs 1.0.0.60201-112~22.04 amd64 Radeon Open Compute - device libraries 2025-08-26T20:07:04.6050550Z ii rocm-gdb 14.2.60201-112~22.04 amd64 ROCgdb 2025-08-26T20:07:04.6051595Z ii rocm-hip-libraries 6.2.1.60201-112~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-26T20:07:04.6052834Z ii rocm-hip-runtime 6.2.1.60201-112~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-26T20:07:04.6054032Z ii rocm-hip-runtime-dev 6.2.1.60201-112~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-26T20:07:04.6055184Z ii rocm-hip-sdk 6.2.1.60201-112~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-26T20:07:04.6056382Z ii rocm-language-runtime 6.2.1.60201-112~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-26T20:07:04.6057533Z ii rocm-llvm 18.0.0.24355.60201-112~22.04 amd64 ROCm core compiler 2025-08-26T20:07:04.6059202Z ii rocm-ml-libraries 6.2.1.60201-112~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-26T20:07:04.6060548Z ii rocm-ml-sdk 6.2.1.60201-112~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-26T20:07:04.6061649Z ii rocm-opencl 2.0.0.60201-112~22.04 amd64 clr built using CMake 2025-08-26T20:07:04.6062598Z ii rocm-opencl-dev 2.0.0.60201-112~22.04 amd64 clr built using CMake 2025-08-26T20:07:04.6063712Z ii rocm-opencl-icd-loader 1.2.60201-112~22.04 amd64 OpenCL-ICD-Loader built using CMake 2025-08-26T20:07:04.6064924Z ii rocm-opencl-runtime 6.2.1.60201-112~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-26T20:07:04.6066540Z ii rocm-opencl-sdk 6.2.1.60201-112~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-26T20:07:04.6067813Z ii rocm-openmp-sdk 6.2.1.60201-112~22.04 amd64 Radeon Open Compute (ROCm) OpenMP Software development Kit. 2025-08-26T20:07:04.6069159Z ii rocm-smi-lib 7.3.0.60201-112~22.04 amd64 AMD System Management libraries 2025-08-26T20:07:04.6070229Z ii rocm-utils 6.2.1.60201-112~22.04 amd64 Radeon Open Compute (ROCm) Runtime software stack 2025-08-26T20:07:04.6071335Z ii rocminfo 1.0.0.60201-112~22.04 amd64 Radeon Open Compute (ROCm) Runtime rocminfo tool 2025-08-26T20:07:04.6105614Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T20:07:04.6106543Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T20:07:04.6107241Z # shellcheck disable=SC2046 2025-08-26T20:07:04.6107802Z docker stop $(docker ps -q) || true 2025-08-26T20:07:04.6108550Z # Prune all stopped containers. 2025-08-26T20:07:04.6109080Z docker container prune -f 2025-08-26T20:07:04.6161710Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:04.6162480Z env: 2025-08-26T20:07:04.6162942Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:04.6163460Z ##[endgroup] 2025-08-26T20:07:04.6660212Z "docker stop" requires at least 1 argument. 2025-08-26T20:07:04.6660866Z See 'docker stop --help'. 2025-08-26T20:07:04.6661162Z 2025-08-26T20:07:04.6661461Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-26T20:07:04.6661899Z 2025-08-26T20:07:04.6662080Z Stop one or more running containers 2025-08-26T20:07:04.6888486Z Total reclaimed space: 0B 2025-08-26T20:07:04.6935578Z ##[group]Run cat /etc/os-release || true 2025-08-26T20:07:04.6936080Z cat /etc/os-release || true 2025-08-26T20:07:04.6936569Z cat /etc/apt/sources.list.d/rocm.list || true 2025-08-26T20:07:04.6937074Z cat /opt/rocm/.info/version || true 2025-08-26T20:07:04.6937469Z whoami 2025-08-26T20:07:04.6980942Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:04.6981431Z env: 2025-08-26T20:07:04.6981719Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:04.6982057Z ##[endgroup] 2025-08-26T20:07:04.7061142Z PRETTY_NAME="Ubuntu 22.04.2 LTS" 2025-08-26T20:07:04.7061624Z NAME="Ubuntu" 2025-08-26T20:07:04.7061997Z VERSION_ID="22.04" 2025-08-26T20:07:04.7062587Z VERSION="22.04.2 LTS (Jammy Jellyfish)" 2025-08-26T20:07:04.7065513Z VERSION_CODENAME=jammy 2025-08-26T20:07:04.7065948Z ID=ubuntu 2025-08-26T20:07:04.7066283Z ID_LIKE=debian 2025-08-26T20:07:04.7066723Z HOME_URL="https://www.ubuntu.com/" 2025-08-26T20:07:04.7067284Z SUPPORT_URL="https://help.ubuntu.com/" 2025-08-26T20:07:04.7068576Z BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/" 2025-08-26T20:07:04.7069513Z PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy" 2025-08-26T20:07:04.7070349Z UBUNTU_CODENAME=jammy 2025-08-26T20:07:04.7077897Z deb [arch=amd64] https://repo.radeon.com/rocm/apt/6.2.1 jammy main 2025-08-26T20:07:04.7089847Z 6.2.1-112 2025-08-26T20:07:04.7105902Z pytorchci 2025-08-26T20:07:04.7138410Z ##[group]Run dpkg -l | grep -E " amdgpu" 2025-08-26T20:07:04.7138976Z dpkg -l | grep -E " amdgpu" 2025-08-26T20:07:04.7185457Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:04.7186103Z env: 2025-08-26T20:07:04.7186465Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:04.7186896Z ##[endgroup] 2025-08-26T20:07:04.7524354Z ii amdgpu-core 1:6.2.60201-2038383.22.04 all Core meta package for unified amdgpu driver. 2025-08-26T20:07:04.7525014Z ii amdgpu-dkms 1:6.8.5.60201-2038383.22.04 all amdgpu driver in DKMS format. 2025-08-26T20:07:04.7526087Z ii amdgpu-dkms-firmware 1:6.8.5.60201-2038383.22.04 all firmware blobs used by amdgpu driver in DKMS format 2025-08-26T20:07:04.7526772Z ii amdgpu-install 6.2.60201-2038383.22.04 all AMDGPU driver repository and installer 2025-08-26T20:07:04.7527397Z rc amdgpu-install-internal 5.5-22.04-1603957.22.04 all AMD 'amdgpu' driver repository 2025-08-26T20:07:04.7560509Z ##[group]Run rocm-smi 2025-08-26T20:07:04.7561035Z rocm-smi 2025-08-26T20:07:04.7607250Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:04.7607585Z env: 2025-08-26T20:07:04.7607779Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:04.7608027Z ##[endgroup] 2025-08-26T20:07:04.8539171Z 2025-08-26T20:07:04.8539272Z 2025-08-26T20:07:04.8539956Z ========================================= ROCm System Management Interface ========================================= 2025-08-26T20:07:04.8540875Z =================================================== Concise Info =================================================== 2025-08-26T20:07:04.8541736Z Device Node IDs Temp Power Partitions SCLK MCLK Fan Perf PwrCap VRAM% GPU% 2025-08-26T20:07:04.8543063Z  (DID, GUID) (Edge) (Avg) (Mem, Compute, ID)  2025-08-26T20:07:04.8543756Z ==================================================================================================================== 2025-08-26T20:07:04.8544889Z 0 2 0x740f, 12261 35.0°C 43.0W N/A, N/A, 0 800Mhz 1600Mhz 0% auto 300.0W 0% 0% 2025-08-26T20:07:04.8545867Z 1 3 0x740f, 36740 35.0°C 43.0W N/A, N/A, 0 800Mhz 1600Mhz 0% auto 300.0W 0% 0% 2025-08-26T20:07:04.8547455Z ==================================================================================================================== 2025-08-26T20:07:04.8548187Z =============================================== End of ROCm SMI Log ================================================ 2025-08-26T20:07:04.8666915Z ##[group]Run rocminfo 2025-08-26T20:07:04.8667173Z rocminfo 2025-08-26T20:07:04.8705765Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:04.8706281Z env: 2025-08-26T20:07:04.8706575Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:04.8706930Z ##[endgroup] 2025-08-26T20:07:04.9617562Z ROCk module version 6.8.5 is loaded 2025-08-26T20:07:04.9618182Z ===================== 2025-08-26T20:07:04.9618549Z HSA System Attributes 2025-08-26T20:07:04.9618890Z ===================== 2025-08-26T20:07:04.9619223Z Runtime Version: 1.14 2025-08-26T20:07:04.9619608Z Runtime Ext Version: 1.6 2025-08-26T20:07:04.9619908Z System Timestamp Freq.: 1000.000000MHz 2025-08-26T20:07:04.9620346Z Sig. Max Wait Duration: 18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count) 2025-08-26T20:07:04.9621122Z Machine Model: LARGE 2025-08-26T20:07:04.9621503Z System Endianness: LITTLE 2025-08-26T20:07:04.9621868Z Mwaitx: DISABLED 2025-08-26T20:07:04.9622165Z DMAbuf Support: YES 2025-08-26T20:07:04.9622343Z 2025-08-26T20:07:04.9622446Z ========== 2025-08-26T20:07:04.9622696Z HSA Agents 2025-08-26T20:07:04.9622948Z ========== 2025-08-26T20:07:04.9623175Z ******* 2025-08-26T20:07:04.9623419Z Agent 1 2025-08-26T20:07:04.9623640Z ******* 2025-08-26T20:07:04.9623911Z Name: AMD EPYC 7513 32-Core Processor 2025-08-26T20:07:04.9624274Z Uuid: CPU-XX 2025-08-26T20:07:04.9624609Z Marketing Name: AMD EPYC 7513 32-Core Processor 2025-08-26T20:07:04.9624990Z Vendor Name: CPU 2025-08-26T20:07:04.9629176Z Feature: None specified 2025-08-26T20:07:04.9629557Z Profile: FULL_PROFILE 2025-08-26T20:07:04.9629897Z Float Round Mode: NEAR 2025-08-26T20:07:04.9630243Z Max Queue Number: 0(0x0) 2025-08-26T20:07:04.9630585Z Queue Min Size: 0(0x0) 2025-08-26T20:07:04.9630914Z Queue Max Size: 0(0x0) 2025-08-26T20:07:04.9631250Z Queue Type: MULTI 2025-08-26T20:07:04.9631553Z Node: 0 2025-08-26T20:07:04.9631874Z Device Type: CPU 2025-08-26T20:07:04.9632166Z Cache Info: 2025-08-26T20:07:04.9632423Z L1: 32768(0x8000) KB 2025-08-26T20:07:04.9632731Z Chip ID: 0(0x0) 2025-08-26T20:07:04.9633050Z ASIC Revision: 0(0x0) 2025-08-26T20:07:04.9633395Z Cacheline Size: 64(0x40) 2025-08-26T20:07:04.9633728Z Max Clock Freq. (MHz): 2600 2025-08-26T20:07:04.9634054Z BDFID: 0 2025-08-26T20:07:04.9634372Z Internal Node ID: 0 2025-08-26T20:07:04.9634721Z Compute Unit: 32 2025-08-26T20:07:04.9635057Z SIMDs per CU: 0 2025-08-26T20:07:04.9635381Z Shader Engines: 0 2025-08-26T20:07:04.9635731Z Shader Arrs. per Eng.: 0 2025-08-26T20:07:04.9636091Z WatchPts on Addr. Ranges:1 2025-08-26T20:07:04.9636420Z Memory Properties: 2025-08-26T20:07:04.9636650Z Features: None 2025-08-26T20:07:04.9636895Z Pool Info: 2025-08-26T20:07:04.9637105Z Pool 1 2025-08-26T20:07:04.9637392Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-26T20:07:04.9637739Z Size: 65790692(0x3ebe2e4) KB 2025-08-26T20:07:04.9638063Z Allocatable: TRUE 2025-08-26T20:07:04.9638418Z Alloc Granule: 4KB 2025-08-26T20:07:04.9638780Z Alloc Recommended Granule:4KB 2025-08-26T20:07:04.9639145Z Alloc Alignment: 4KB 2025-08-26T20:07:04.9639492Z Accessible by all: TRUE 2025-08-26T20:07:04.9639797Z Pool 2 2025-08-26T20:07:04.9640073Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-26T20:07:04.9640555Z Size: 65790692(0x3ebe2e4) KB 2025-08-26T20:07:04.9640890Z Allocatable: TRUE 2025-08-26T20:07:04.9641224Z Alloc Granule: 4KB 2025-08-26T20:07:04.9641581Z Alloc Recommended Granule:4KB 2025-08-26T20:07:04.9641937Z Alloc Alignment: 4KB 2025-08-26T20:07:04.9642291Z Accessible by all: TRUE 2025-08-26T20:07:04.9642592Z Pool 3 2025-08-26T20:07:04.9642856Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-26T20:07:04.9643184Z Size: 65790692(0x3ebe2e4) KB 2025-08-26T20:07:04.9643505Z Allocatable: TRUE 2025-08-26T20:07:04.9643851Z Alloc Granule: 4KB 2025-08-26T20:07:04.9644205Z Alloc Recommended Granule:4KB 2025-08-26T20:07:04.9644719Z Alloc Alignment: 4KB 2025-08-26T20:07:04.9645069Z Accessible by all: TRUE 2025-08-26T20:07:04.9645369Z ISA Info: 2025-08-26T20:07:04.9645571Z ******* 2025-08-26T20:07:04.9645776Z Agent 2 2025-08-26T20:07:04.9645975Z ******* 2025-08-26T20:07:04.9646220Z Name: AMD EPYC 7513 32-Core Processor 2025-08-26T20:07:04.9646529Z Uuid: CPU-XX 2025-08-26T20:07:04.9646856Z Marketing Name: AMD EPYC 7513 32-Core Processor 2025-08-26T20:07:04.9647215Z Vendor Name: CPU 2025-08-26T20:07:04.9647544Z Feature: None specified 2025-08-26T20:07:04.9647883Z Profile: FULL_PROFILE 2025-08-26T20:07:04.9648221Z Float Round Mode: NEAR 2025-08-26T20:07:04.9648589Z Max Queue Number: 0(0x0) 2025-08-26T20:07:04.9649015Z Queue Min Size: 0(0x0) 2025-08-26T20:07:04.9649589Z Queue Max Size: 0(0x0) 2025-08-26T20:07:04.9650159Z Queue Type: MULTI 2025-08-26T20:07:04.9650690Z Node: 1 2025-08-26T20:07:04.9651241Z Device Type: CPU 2025-08-26T20:07:04.9651675Z Cache Info: 2025-08-26T20:07:04.9652033Z L1: 32768(0x8000) KB 2025-08-26T20:07:04.9652485Z Chip ID: 0(0x0) 2025-08-26T20:07:04.9652951Z ASIC Revision: 0(0x0) 2025-08-26T20:07:04.9653462Z Cacheline Size: 64(0x40) 2025-08-26T20:07:04.9653966Z Max Clock Freq. (MHz): 2600 2025-08-26T20:07:04.9654442Z BDFID: 0 2025-08-26T20:07:04.9654904Z Internal Node ID: 1 2025-08-26T20:07:04.9655401Z Compute Unit: 32 2025-08-26T20:07:04.9655877Z SIMDs per CU: 0 2025-08-26T20:07:04.9656358Z Shader Engines: 0 2025-08-26T20:07:04.9656870Z Shader Arrs. per Eng.: 0 2025-08-26T20:07:04.9657394Z WatchPts on Addr. Ranges:1 2025-08-26T20:07:04.9657865Z Memory Properties: 2025-08-26T20:07:04.9658206Z Features: None 2025-08-26T20:07:04.9658550Z Pool Info: 2025-08-26T20:07:04.9659059Z Pool 1 2025-08-26T20:07:04.9659483Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-26T20:07:04.9659995Z Size: 66046464(0x3efca00) KB 2025-08-26T20:07:04.9660478Z Allocatable: TRUE 2025-08-26T20:07:04.9660994Z Alloc Granule: 4KB 2025-08-26T20:07:04.9661532Z Alloc Recommended Granule:4KB 2025-08-26T20:07:04.9662083Z Alloc Alignment: 4KB 2025-08-26T20:07:04.9662609Z Accessible by all: TRUE 2025-08-26T20:07:04.9663061Z Pool 2 2025-08-26T20:07:04.9663474Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-26T20:07:04.9663960Z Size: 66046464(0x3efca00) KB 2025-08-26T20:07:04.9664458Z Allocatable: TRUE 2025-08-26T20:07:04.9665167Z Alloc Granule: 4KB 2025-08-26T20:07:04.9665719Z Alloc Recommended Granule:4KB 2025-08-26T20:07:04.9666248Z Alloc Alignment: 4KB 2025-08-26T20:07:04.9666778Z Accessible by all: TRUE 2025-08-26T20:07:04.9667219Z Pool 3 2025-08-26T20:07:04.9667631Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-26T20:07:04.9668228Z Size: 66046464(0x3efca00) KB 2025-08-26T20:07:04.9668703Z Allocatable: TRUE 2025-08-26T20:07:04.9669225Z Alloc Granule: 4KB 2025-08-26T20:07:04.9669754Z Alloc Recommended Granule:4KB 2025-08-26T20:07:04.9670313Z Alloc Alignment: 4KB 2025-08-26T20:07:04.9670831Z Accessible by all: TRUE 2025-08-26T20:07:04.9671284Z ISA Info: 2025-08-26T20:07:04.9671599Z ******* 2025-08-26T20:07:04.9671894Z Agent 3 2025-08-26T20:07:04.9672204Z ******* 2025-08-26T20:07:04.9672546Z Name: gfx90a 2025-08-26T20:07:04.9673010Z Uuid: GPU-6878e95c30574a36 2025-08-26T20:07:04.9673491Z Marketing Name: AMD Instinct MI210 2025-08-26T20:07:04.9674008Z Vendor Name: AMD 2025-08-26T20:07:04.9674498Z Feature: KERNEL_DISPATCH 2025-08-26T20:07:04.9674990Z Profile: BASE_PROFILE 2025-08-26T20:07:04.9675496Z Float Round Mode: NEAR 2025-08-26T20:07:04.9676002Z Max Queue Number: 128(0x80) 2025-08-26T20:07:04.9676518Z Queue Min Size: 64(0x40) 2025-08-26T20:07:04.9677001Z Queue Max Size: 131072(0x20000) 2025-08-26T20:07:04.9677488Z Queue Type: MULTI 2025-08-26T20:07:04.9677932Z Node: 2 2025-08-26T20:07:04.9678458Z Device Type: GPU 2025-08-26T20:07:04.9678968Z Cache Info: 2025-08-26T20:07:04.9679376Z L1: 16(0x10) KB 2025-08-26T20:07:04.9679883Z L2: 8192(0x2000) KB 2025-08-26T20:07:04.9680390Z Chip ID: 29711(0x740f) 2025-08-26T20:07:04.9680959Z ASIC Revision: 1(0x1) 2025-08-26T20:07:04.9681849Z Cacheline Size: 64(0x40) 2025-08-26T20:07:04.9682446Z Max Clock Freq. (MHz): 1700 2025-08-26T20:07:04.9682949Z BDFID: 768 2025-08-26T20:07:04.9683311Z Internal Node ID: 2 2025-08-26T20:07:04.9683684Z Compute Unit: 104 2025-08-26T20:07:04.9683999Z SIMDs per CU: 4 2025-08-26T20:07:04.9684332Z Shader Engines: 8 2025-08-26T20:07:04.9684668Z Shader Arrs. per Eng.: 1 2025-08-26T20:07:04.9685033Z WatchPts on Addr. Ranges:4 2025-08-26T20:07:04.9685406Z Coherent Host Access: FALSE 2025-08-26T20:07:04.9685713Z Memory Properties: 2025-08-26T20:07:04.9685966Z Features: KERNEL_DISPATCH 2025-08-26T20:07:04.9686283Z Fast F16 Operation: TRUE 2025-08-26T20:07:04.9686811Z Wavefront Size: 64(0x40) 2025-08-26T20:07:04.9687158Z Workgroup Max Size: 1024(0x400) 2025-08-26T20:07:04.9687489Z Workgroup Max Size per Dimension: 2025-08-26T20:07:04.9687746Z x 1024(0x400) 2025-08-26T20:07:04.9688026Z y 1024(0x400) 2025-08-26T20:07:04.9688302Z z 1024(0x400) 2025-08-26T20:07:04.9688610Z Max Waves Per CU: 32(0x20) 2025-08-26T20:07:04.9689018Z Max Work-item Per CU: 2048(0x800) 2025-08-26T20:07:04.9689589Z Grid Max Size: 4294967295(0xffffffff) 2025-08-26T20:07:04.9690130Z Grid Max Size per Dimension: 2025-08-26T20:07:04.9690544Z x 4294967295(0xffffffff) 2025-08-26T20:07:04.9690980Z y 4294967295(0xffffffff) 2025-08-26T20:07:04.9691406Z z 4294967295(0xffffffff) 2025-08-26T20:07:04.9691886Z Max fbarriers/Workgrp: 32 2025-08-26T20:07:04.9698919Z Packet Processor uCode:: 83 2025-08-26T20:07:04.9699675Z SDMA engine uCode:: 8 2025-08-26T20:07:04.9700320Z IOMMU Support:: None 2025-08-26T20:07:04.9700857Z Pool Info: 2025-08-26T20:07:04.9701267Z Pool 1 2025-08-26T20:07:04.9701700Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-26T20:07:04.9702216Z Size: 67092480(0x3ffc000) KB 2025-08-26T20:07:04.9702740Z Allocatable: TRUE 2025-08-26T20:07:04.9703247Z Alloc Granule: 4KB 2025-08-26T20:07:04.9703818Z Alloc Recommended Granule:2048KB 2025-08-26T20:07:04.9704375Z Alloc Alignment: 4KB 2025-08-26T20:07:04.9704906Z Accessible by all: FALSE 2025-08-26T20:07:04.9705374Z Pool 2 2025-08-26T20:07:04.9705815Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-26T20:07:04.9706341Z Size: 67092480(0x3ffc000) KB 2025-08-26T20:07:04.9706842Z Allocatable: TRUE 2025-08-26T20:07:04.9707361Z Alloc Granule: 4KB 2025-08-26T20:07:04.9707892Z Alloc Recommended Granule:2048KB 2025-08-26T20:07:04.9708567Z Alloc Alignment: 4KB 2025-08-26T20:07:04.9709106Z Accessible by all: FALSE 2025-08-26T20:07:04.9709879Z Pool 3 2025-08-26T20:07:04.9710286Z Segment: GROUP 2025-08-26T20:07:04.9710752Z Size: 64(0x40) KB 2025-08-26T20:07:04.9711237Z Allocatable: FALSE 2025-08-26T20:07:04.9711737Z Alloc Granule: 0KB 2025-08-26T20:07:04.9712280Z Alloc Recommended Granule:0KB 2025-08-26T20:07:04.9712819Z Alloc Alignment: 0KB 2025-08-26T20:07:04.9713344Z Accessible by all: FALSE 2025-08-26T20:07:04.9713810Z ISA Info: 2025-08-26T20:07:04.9714158Z ISA 1 2025-08-26T20:07:04.9714601Z Name: amdgcn-amd-amdhsa--gfx90a:sramecc+:xnack- 2025-08-26T20:07:04.9715167Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-26T20:07:04.9715941Z Profiles: HSA_PROFILE_BASE 2025-08-26T20:07:04.9716468Z Default Rounding Mode: NEAR 2025-08-26T20:07:04.9717022Z Default Rounding Mode: NEAR 2025-08-26T20:07:04.9717530Z Fast f16: TRUE 2025-08-26T20:07:04.9718026Z Workgroup Max Size: 1024(0x400) 2025-08-26T20:07:04.9718611Z Workgroup Max Size per Dimension: 2025-08-26T20:07:04.9719107Z x 1024(0x400) 2025-08-26T20:07:04.9719615Z y 1024(0x400) 2025-08-26T20:07:04.9720087Z z 1024(0x400) 2025-08-26T20:07:04.9720638Z Grid Max Size: 4294967295(0xffffffff) 2025-08-26T20:07:04.9721205Z Grid Max Size per Dimension: 2025-08-26T20:07:04.9721649Z x 4294967295(0xffffffff) 2025-08-26T20:07:04.9722162Z y 4294967295(0xffffffff) 2025-08-26T20:07:04.9722645Z z 4294967295(0xffffffff) 2025-08-26T20:07:04.9723091Z FBarrier Max Size: 32 2025-08-26T20:07:04.9723432Z ******* 2025-08-26T20:07:04.9723668Z Agent 4 2025-08-26T20:07:04.9723863Z ******* 2025-08-26T20:07:04.9724104Z Name: gfx90a 2025-08-26T20:07:04.9724418Z Uuid: GPU-7dfcc6cae49810bc 2025-08-26T20:07:04.9724746Z Marketing Name: AMD Instinct MI210 2025-08-26T20:07:04.9725087Z Vendor Name: AMD 2025-08-26T20:07:04.9725408Z Feature: KERNEL_DISPATCH 2025-08-26T20:07:04.9725740Z Profile: BASE_PROFILE 2025-08-26T20:07:04.9726068Z Float Round Mode: NEAR 2025-08-26T20:07:04.9726405Z Max Queue Number: 128(0x80) 2025-08-26T20:07:04.9726741Z Queue Min Size: 64(0x40) 2025-08-26T20:07:04.9727058Z Queue Max Size: 131072(0x20000) 2025-08-26T20:07:04.9727383Z Queue Type: MULTI 2025-08-26T20:07:04.9727679Z Node: 3 2025-08-26T20:07:04.9727982Z Device Type: GPU 2025-08-26T20:07:04.9728264Z Cache Info: 2025-08-26T20:07:04.9728509Z L1: 16(0x10) KB 2025-08-26T20:07:04.9728828Z L2: 8192(0x2000) KB 2025-08-26T20:07:04.9729423Z Chip ID: 29711(0x740f) 2025-08-26T20:07:04.9730001Z ASIC Revision: 1(0x1) 2025-08-26T20:07:04.9730583Z Cacheline Size: 64(0x40) 2025-08-26T20:07:04.9731189Z Max Clock Freq. (MHz): 1700 2025-08-26T20:07:04.9731712Z BDFID: 33536 2025-08-26T20:07:04.9732188Z Internal Node ID: 3 2025-08-26T20:07:04.9732688Z Compute Unit: 104 2025-08-26T20:07:04.9733207Z SIMDs per CU: 4 2025-08-26T20:07:04.9733703Z Shader Engines: 8 2025-08-26T20:07:04.9734218Z Shader Arrs. per Eng.: 1 2025-08-26T20:07:04.9734740Z WatchPts on Addr. Ranges:4 2025-08-26T20:07:04.9735292Z Coherent Host Access: FALSE 2025-08-26T20:07:04.9735769Z Memory Properties: 2025-08-26T20:07:04.9736361Z Features: KERNEL_DISPATCH 2025-08-26T20:07:04.9736904Z Fast F16 Operation: TRUE 2025-08-26T20:07:04.9737429Z Wavefront Size: 64(0x40) 2025-08-26T20:07:04.9737937Z Workgroup Max Size: 1024(0x400) 2025-08-26T20:07:04.9738431Z Workgroup Max Size per Dimension: 2025-08-26T20:07:04.9738904Z x 1024(0x400) 2025-08-26T20:07:04.9739395Z y 1024(0x400) 2025-08-26T20:07:04.9739880Z z 1024(0x400) 2025-08-26T20:07:04.9740371Z Max Waves Per CU: 32(0x20) 2025-08-26T20:07:04.9740860Z Max Work-item Per CU: 2048(0x800) 2025-08-26T20:07:04.9741347Z Grid Max Size: 4294967295(0xffffffff) 2025-08-26T20:07:04.9741785Z Grid Max Size per Dimension: 2025-08-26T20:07:04.9742151Z x 4294967295(0xffffffff) 2025-08-26T20:07:04.9742546Z y 4294967295(0xffffffff) 2025-08-26T20:07:04.9742944Z z 4294967295(0xffffffff) 2025-08-26T20:07:04.9743403Z Max fbarriers/Workgrp: 32 2025-08-26T20:07:04.9743931Z Packet Processor uCode:: 83 2025-08-26T20:07:04.9744432Z SDMA engine uCode:: 8 2025-08-26T20:07:04.9744920Z IOMMU Support:: None 2025-08-26T20:07:04.9745343Z Pool Info: 2025-08-26T20:07:04.9745648Z Pool 1 2025-08-26T20:07:04.9746047Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-26T20:07:04.9746541Z Size: 67092480(0x3ffc000) KB 2025-08-26T20:07:04.9747021Z Allocatable: TRUE 2025-08-26T20:07:04.9747508Z Alloc Granule: 4KB 2025-08-26T20:07:04.9748125Z Alloc Recommended Granule:2048KB 2025-08-26T20:07:04.9748649Z Alloc Alignment: 4KB 2025-08-26T20:07:04.9749137Z Accessible by all: FALSE 2025-08-26T20:07:04.9749567Z Pool 2 2025-08-26T20:07:04.9749942Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-26T20:07:04.9750407Z Size: 67092480(0x3ffc000) KB 2025-08-26T20:07:04.9750860Z Allocatable: TRUE 2025-08-26T20:07:04.9751349Z Alloc Granule: 4KB 2025-08-26T20:07:04.9752113Z Alloc Recommended Granule:2048KB 2025-08-26T20:07:04.9752635Z Alloc Alignment: 4KB 2025-08-26T20:07:04.9753136Z Accessible by all: FALSE 2025-08-26T20:07:04.9753561Z Pool 3 2025-08-26T20:07:04.9753933Z Segment: GROUP 2025-08-26T20:07:04.9754381Z Size: 64(0x40) KB 2025-08-26T20:07:04.9754848Z Allocatable: FALSE 2025-08-26T20:07:04.9755332Z Alloc Granule: 0KB 2025-08-26T20:07:04.9755846Z Alloc Recommended Granule:0KB 2025-08-26T20:07:04.9756360Z Alloc Alignment: 0KB 2025-08-26T20:07:04.9756863Z Accessible by all: FALSE 2025-08-26T20:07:04.9757306Z ISA Info: 2025-08-26T20:07:04.9757600Z ISA 1 2025-08-26T20:07:04.9758295Z Name: amdgcn-amd-amdhsa--gfx90a:sramecc+:xnack- 2025-08-26T20:07:04.9758927Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-26T20:07:04.9759537Z Profiles: HSA_PROFILE_BASE 2025-08-26T20:07:04.9760148Z Default Rounding Mode: NEAR 2025-08-26T20:07:04.9760980Z Default Rounding Mode: NEAR 2025-08-26T20:07:04.9761694Z Fast f16: TRUE 2025-08-26T20:07:04.9762271Z Workgroup Max Size: 1024(0x400) 2025-08-26T20:07:04.9762818Z Workgroup Max Size per Dimension: 2025-08-26T20:07:04.9763299Z x 1024(0x400) 2025-08-26T20:07:04.9763733Z y 1024(0x400) 2025-08-26T20:07:04.9764065Z z 1024(0x400) 2025-08-26T20:07:04.9764407Z Grid Max Size: 4294967295(0xffffffff) 2025-08-26T20:07:04.9764710Z Grid Max Size per Dimension: 2025-08-26T20:07:04.9764966Z x 4294967295(0xffffffff) 2025-08-26T20:07:04.9765240Z y 4294967295(0xffffffff) 2025-08-26T20:07:04.9765524Z z 4294967295(0xffffffff) 2025-08-26T20:07:04.9765832Z FBarrier Max Size: 32 2025-08-26T20:07:04.9766133Z *** Done *** 2025-08-26T20:07:04.9786980Z ##[group]Run ngpu=$(rocminfo | grep -c -E 'Name:.*\sgfx') 2025-08-26T20:07:04.9787570Z ngpu=$(rocminfo | grep -c -E 'Name:.*\sgfx') 2025-08-26T20:07:04.9788746Z msg="Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified" 2025-08-26T20:07:04.9789707Z if [[ $ngpu -eq 0 ]]; then 2025-08-26T20:07:04.9790211Z  echo "Error: Failed to detect any GPUs on the runner" 2025-08-26T20:07:04.9790693Z  echo "$msg" 2025-08-26T20:07:04.9791013Z  exit 1 2025-08-26T20:07:04.9791292Z fi 2025-08-26T20:07:04.9828900Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:04.9829369Z env: 2025-08-26T20:07:04.9829646Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:04.9829965Z ##[endgroup] 2025-08-26T20:07:05.0772377Z ##[group]Run pytorch/pytorch/.github/actions/diskspace-cleanup@main 2025-08-26T20:07:05.0772743Z with: 2025-08-26T20:07:05.0772941Z diskspace-cutoff: 70 2025-08-26T20:07:05.0773146Z env: 2025-08-26T20:07:05.0773336Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:05.0773561Z ##[endgroup] 2025-08-26T20:07:05.0819089Z ##[group]Run set -ex 2025-08-26T20:07:05.0819452Z set -ex 2025-08-26T20:07:05.0820054Z diskspace_cutoff=70 2025-08-26T20:07:05.0820539Z docker_root_dir=$(docker info -f '{{.DockerRootDir}}') 2025-08-26T20:07:05.0821096Z if [ ! -d "$docker_root_dir" ]; then 2025-08-26T20:07:05.0821775Z  echo "Docker root directory ($docker_root_dir) does not exist. Skipping disk space check." 2025-08-26T20:07:05.0822424Z  exit 0 2025-08-26T20:07:05.0822720Z fi 2025-08-26T20:07:05.0823286Z diskspace=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-26T20:07:05.0824485Z msg="Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified" 2025-08-26T20:07:05.0825508Z if [[ "$diskspace" -ge "$diskspace_cutoff" ]] ; then 2025-08-26T20:07:05.0826029Z  docker system prune -af 2025-08-26T20:07:05.0826701Z  diskspace_new=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-26T20:07:05.0827478Z  if [[ "$diskspace_new" -gt "$diskspace_cutoff" ]] ; then 2025-08-26T20:07:05.0828662Z  echo "Error: Available diskspace is less than $diskspace_cutoff percent. Not enough diskspace." 2025-08-26T20:07:05.0829503Z  echo "$msg" 2025-08-26T20:07:05.0829912Z  exit 1 2025-08-26T20:07:05.0830269Z  else 2025-08-26T20:07:05.0830704Z  difference=$((diskspace - diskspace_new)) 2025-08-26T20:07:05.0831352Z  echo "Diskspace saved: $difference percent" 2025-08-26T20:07:05.0831823Z  fi 2025-08-26T20:07:05.0832106Z fi 2025-08-26T20:07:05.0870013Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:05.0870510Z env: 2025-08-26T20:07:05.0870782Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:05.0871117Z ##[endgroup] 2025-08-26T20:07:05.0929184Z + diskspace_cutoff=70 2025-08-26T20:07:05.0934351Z ++ docker info -f '{{.DockerRootDir}}' 2025-08-26T20:07:05.1414004Z + docker_root_dir=/home/pytorchci/.local/share/docker 2025-08-26T20:07:05.1414408Z + '[' '!' -d /home/pytorchci/.local/share/docker ']' 2025-08-26T20:07:05.1421425Z ++ df -H --output=pcent /home/pytorchci/.local/share/docker 2025-08-26T20:07:05.1423498Z ++ sed -n 2p 2025-08-26T20:07:05.1424891Z ++ sed s/%// 2025-08-26T20:07:05.1425122Z ++ sed 's/ //' 2025-08-26T20:07:05.1444731Z + diskspace=26 2025-08-26T20:07:05.1445229Z + msg='Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified' 2025-08-26T20:07:05.1445713Z + [[ 26 -ge 70 ]] 2025-08-26T20:07:05.1485808Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-08-26T20:07:05.1486221Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-08-26T20:07:05.1486563Z rm -rf "${RUNNER_ARTIFACT_DIR}" 2025-08-26T20:07:05.1486859Z mkdir -p "${RUNNER_ARTIFACT_DIR}" 2025-08-26T20:07:05.1487243Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}" 2025-08-26T20:07:05.1487615Z  2025-08-26T20:07:05.1487930Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results" 2025-08-26T20:07:05.1488449Z rm -rf "${RUNNER_TEST_RESULTS_DIR}" 2025-08-26T20:07:05.1488989Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}" 2025-08-26T20:07:05.1489720Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}" 2025-08-26T20:07:05.1490393Z  2025-08-26T20:07:05.1490702Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs" 2025-08-26T20:07:05.1491129Z rm -rf "${RUNNER_DOCS_DIR}" 2025-08-26T20:07:05.1491528Z mkdir -p "${RUNNER_DOCS_DIR}" 2025-08-26T20:07:05.1492030Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}" 2025-08-26T20:07:05.1530489Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:05.1530974Z env: 2025-08-26T20:07:05.1531252Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:05.1531873Z ##[endgroup] 2025-08-26T20:07:05.1719999Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-08-26T20:07:05.1720885Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-08-26T20:07:05.1721606Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-08-26T20:07:05.1759103Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:05.1759568Z env: 2025-08-26T20:07:05.1759857Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:05.1760363Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:07:05.1761126Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:07:05.1761826Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:07:05.1762338Z ##[endgroup] 2025-08-26T20:07:05.1876977Z ##[group]Run # All GPUs are visible to the runner; visibility, if needed, will be set by run_test.py. 2025-08-26T20:07:05.1877950Z # All GPUs are visible to the runner; visibility, if needed, will be set by run_test.py. 2025-08-26T20:07:05.1878927Z # Add render group for container creation. 2025-08-26T20:07:05.1879594Z render_gid=`cat /etc/group | grep render | cut -d: -f3` 2025-08-26T20:07:05.1880394Z # Ensure GPU isolation if pod is part of kubernetes setup with DEVICE_FLAG. 2025-08-26T20:07:05.1881200Z if [ -f "/etc/podinfo/gha-render-devices" ]; then 2025-08-26T20:07:05.1881889Z  DEVICE_FLAG=$(cat /etc/podinfo/gha-render-devices) 2025-08-26T20:07:05.1882440Z else 2025-08-26T20:07:05.1882813Z  DEVICE_FLAG="--device /dev/dri" 2025-08-26T20:07:05.1883271Z fi 2025-08-26T20:07:05.1883945Z # The --group-add daemon and --group-add bin are needed in the Ubuntu 24.04 and Almalinux OSs respectively. 2025-08-26T20:07:05.1884648Z # This is due to the device files (/dev/kfd & /dev/dri) being owned by video group on bare metal. 2025-08-26T20:07:05.1885258Z # This video group ID maps to subgid 1 inside the docker image due to the /etc/subgid entries. 2025-08-26T20:07:05.1885893Z # The group name corresponding to group ID 1 can change depending on the OS, so both are necessary. 2025-08-26T20:07:05.1886951Z echo "GPU_FLAG=--device=/dev/mem --device=/dev/kfd $DEVICE_FLAG --group-add video --group-add $render_gid --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host" >> "${GITHUB_ENV}" 2025-08-26T20:07:05.1922177Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:05.1922744Z env: 2025-08-26T20:07:05.1923082Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:05.1923526Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:07:05.1924059Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:07:05.1924536Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:07:05.1924866Z ##[endgroup] 2025-08-26T20:07:05.2073707Z ##[group]Run aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722 2025-08-26T20:07:05.2074102Z with: 2025-08-26T20:07:05.2074380Z role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_s3_and_ecr_read_only 2025-08-26T20:07:05.2074706Z aws-region: us-east-1 2025-08-26T20:07:05.2074896Z role-duration-seconds: 18000 2025-08-26T20:07:05.2075116Z audience: sts.amazonaws.com 2025-08-26T20:07:05.2075311Z env: 2025-08-26T20:07:05.2075473Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:05.2075756Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:07:05.2076181Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:07:05.2076593Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:07:05.2077330Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:07:05.2078161Z ##[endgroup] 2025-08-26T20:07:05.6061645Z Assuming role with OIDC 2025-08-26T20:07:05.9653847Z Authenticated as assumedRoleId AROAUPVRELQNLLCOPFEJR:GitHubActions 2025-08-26T20:07:06.0725649Z ##[group]Run aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076 2025-08-26T20:07:06.0726529Z with: 2025-08-26T20:07:06.0726939Z mask-password: true 2025-08-26T20:07:06.0727423Z registry-type: private 2025-08-26T20:07:06.0727874Z skip-logout: false 2025-08-26T20:07:06.0728283Z env: 2025-08-26T20:07:06.0728664Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:06.0729393Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:07:06.0730467Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:07:06.0731446Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:07:06.0733152Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:07:06.0734662Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:07:06.0735229Z AWS_REGION: us-east-1 2025-08-26T20:07:06.0736287Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:07:06.0736974Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:07:06.0746832Z AWS_SESSION_TOKEN: *** 2025-08-26T20:07:06.0747282Z ##[endgroup] 2025-08-26T20:07:06.5753714Z Logging into registry 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:07:07.2682554Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-26T20:07:07.2683380Z with: 2025-08-26T20:07:07.2684593Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:07.2685930Z use-custom-docker-registry: true 2025-08-26T20:07:07.2686498Z docker-build-dir: .ci/docker 2025-08-26T20:07:07.2687041Z docker-build-script: ./build.sh 2025-08-26T20:07:07.2687566Z working-directory: . 2025-08-26T20:07:07.2688157Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:07:07.2688818Z force-push: false 2025-08-26T20:07:07.2689238Z env: 2025-08-26T20:07:07.2689639Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:07.2690350Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:07:07.2691405Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:07:07.2692461Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:07:07.2694165Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:07:07.2695753Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:07:07.2696303Z AWS_REGION: us-east-1 2025-08-26T20:07:07.2697025Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:07:07.2697739Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:07:07.2707628Z AWS_SESSION_TOKEN: *** 2025-08-26T20:07:07.2708259Z ##[endgroup] 2025-08-26T20:07:07.2745575Z ##[group]Run set -ex 2025-08-26T20:07:07.2746121Z set -ex 2025-08-26T20:07:07.2746528Z  2025-08-26T20:07:07.2747236Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-26T20:07:07.2748527Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-26T20:07:07.2749531Z # job could then download the pre-built image as usual 2025-08-26T20:07:07.2750724Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-26T20:07:07.2751815Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-26T20:07:07.2752763Z else 2025-08-26T20:07:07.2753243Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-26T20:07:07.2754009Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-26T20:07:07.2754703Z  2025-08-26T20:07:07.2755633Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-26T20:07:07.2756714Z  exit 0 2025-08-26T20:07:07.2757110Z fi 2025-08-26T20:07:07.2757491Z  2025-08-26T20:07:07.2758092Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-26T20:07:07.2759117Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-26T20:07:07.2760035Z  # use it as it is, but first let's extract the tag 2025-08-26T20:07:07.2760869Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-26T20:07:07.2761762Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-26T20:07:07.2762550Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-26T20:07:07.2763200Z else 2025-08-26T20:07:07.2763632Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-26T20:07:07.2764239Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-26T20:07:07.2764847Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-26T20:07:07.2765368Z  fi 2025-08-26T20:07:07.2766479Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-26T20:07:07.2767461Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-26T20:07:07.2768455Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-26T20:07:07.2769539Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-26T20:07:07.2770214Z fi 2025-08-26T20:07:07.2827221Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:07.2827880Z env: 2025-08-26T20:07:07.2828382Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:07.2829109Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:07:07.2830152Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:07:07.2831107Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:07:07.2832773Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:07:07.2834271Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:07:07.2834759Z AWS_REGION: us-east-1 2025-08-26T20:07:07.2835368Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:07:07.2836035Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:07:07.2845617Z AWS_SESSION_TOKEN: *** 2025-08-26T20:07:07.2846045Z REPO_NAME: pytorch 2025-08-26T20:07:07.2847216Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:07.2848480Z DOCKER_BUILD_DIR: .ci/docker 2025-08-26T20:07:07.2848948Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-26T20:07:07.2849555Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:07:07.2850203Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-26T20:07:07.2850673Z CUSTOM_TAG_PREFIX: 2025-08-26T20:07:07.2851085Z ##[endgroup] 2025-08-26T20:07:07.2937296Z + [[ -d .ci/docker ]] 2025-08-26T20:07:07.2937874Z + [[ -f .ci/docker/./build.sh ]] 2025-08-26T20:07:07.2938384Z + [[ true == \t\r\u\e ]] 2025-08-26T20:07:07.2938836Z + echo skip=false 2025-08-26T20:07:07.2940529Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 == *\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* ]] 2025-08-26T20:07:07.2952618Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:07.2953904Z ++ awk -F '[:,]' '{print $2}' 2025-08-26T20:07:07.2988420Z + DOCKER_TAG=pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:07.2989807Z + echo docker-tag=pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:07.2991868Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:07.3026987Z ##[group]Run set +e 2025-08-26T20:07:07.3027378Z set +e 2025-08-26T20:07:07.3027677Z set -x 2025-08-26T20:07:07.3027969Z  2025-08-26T20:07:07.3028371Z login() { 2025-08-26T20:07:07.3029019Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-26T20:07:07.3029690Z } 2025-08-26T20:07:07.3029969Z  2025-08-26T20:07:07.3030244Z retry () { 2025-08-26T20:07:07.3030603Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-26T20:07:07.3031017Z } 2025-08-26T20:07:07.3031280Z  2025-08-26T20:07:07.3031568Z retry login "${DOCKER_REGISTRY}" 2025-08-26T20:07:07.3031954Z  2025-08-26T20:07:07.3032243Z START_TIME=$(date +%s) 2025-08-26T20:07:07.3032630Z # Wait up to 120 minutes 2025-08-26T20:07:07.3033412Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-26T20:07:07.3034061Z  # Check if image already exists, if it does then skip building it 2025-08-26T20:07:07.3034686Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-26T20:07:07.3035147Z  exit 0 2025-08-26T20:07:07.3035456Z  fi 2025-08-26T20:07:07.3035733Z  2025-08-26T20:07:07.3036218Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-26T20:07:07.3037048Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-26T20:07:07.3037864Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-26T20:07:07.3038513Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-26T20:07:07.3039022Z  # It's a Docker build job, let's build the image 2025-08-26T20:07:07.3039461Z  break 2025-08-26T20:07:07.3039760Z  else 2025-08-26T20:07:07.3040192Z  # It's a regular build job, wait for the image to become available 2025-08-26T20:07:07.3040749Z  sleep 300 2025-08-26T20:07:07.3041126Z  fi 2025-08-26T20:07:07.3041465Z done 2025-08-26T20:07:07.3041786Z  2025-08-26T20:07:07.3042330Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-26T20:07:07.3043178Z # be empty. The default action would be to continue rebuild the image 2025-08-26T20:07:07.3043942Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-26T20:07:07.3044614Z  # if we're on the base branch then use the parent commit 2025-08-26T20:07:07.3045220Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-26T20:07:07.3045660Z else 2025-08-26T20:07:07.3045985Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-26T20:07:07.3046425Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-26T20:07:07.3046735Z fi 2025-08-26T20:07:07.3046923Z  2025-08-26T20:07:07.3047130Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-26T20:07:07.3047474Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-26T20:07:07.3047780Z  2025-08-26T20:07:07.3048377Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-26T20:07:07.3048867Z  exit 0 2025-08-26T20:07:07.3049093Z fi 2025-08-26T20:07:07.3049316Z  2025-08-26T20:07:07.3049615Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-26T20:07:07.3050229Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-26T20:07:07.3050740Z  exit 1 2025-08-26T20:07:07.3050973Z fi 2025-08-26T20:07:07.3051213Z  2025-08-26T20:07:07.3051624Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-26T20:07:07.3052624Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-26T20:07:07.3053544Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-26T20:07:07.3054542Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-26T20:07:07.3055532Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-26T20:07:07.3056144Z fi 2025-08-26T20:07:07.3056455Z  2025-08-26T20:07:07.3056833Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-26T20:07:07.3094092Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:07.3094642Z env: 2025-08-26T20:07:07.3094982Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:07.3095824Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:07:07.3096664Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:07:07.3097442Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:07:07.3098736Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:07:07.3099927Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:07:07.3100331Z AWS_REGION: us-east-1 2025-08-26T20:07:07.3100804Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:07:07.3101376Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:07:07.3108894Z AWS_SESSION_TOKEN: *** 2025-08-26T20:07:07.3109289Z DOCKER_BUILD_DIR: .ci/docker 2025-08-26T20:07:07.3109753Z BASE_REVISION: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:07:07.3110873Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:07.3112154Z DOCKER_TAG: pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:07.3112965Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:07:07.3113501Z DOCKER_PUSH: 2025-08-26T20:07:07.3113826Z ##[endgroup] 2025-08-26T20:07:07.3177996Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:07:07.3178820Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:07:07.3183692Z + aws ecr get-login-password --region us-east-1 2025-08-26T20:07:07.3184711Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:07:08.7517879Z WARNING! Your password will be stored unencrypted in /home/pytorchci/.docker/config.json. 2025-08-26T20:07:08.7518987Z Configure a credential helper to remove this warning. See 2025-08-26T20:07:08.7520042Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T20:07:08.7520719Z 2025-08-26T20:07:08.7521743Z Login Succeeded 2025-08-26T20:07:08.7566443Z ++ date +%s 2025-08-26T20:07:08.7584407Z + START_TIME=1756238828 2025-08-26T20:07:08.7592023Z ++ date +%s 2025-08-26T20:07:08.7608979Z + [[ 1756231628 -lt 1756238828 ]] 2025-08-26T20:07:08.7610512Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:10.1738718Z { 2025-08-26T20:07:10.1740264Z "schemaVersion": 2, 2025-08-26T20:07:10.1741201Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-26T20:07:10.1742026Z "config": { 2025-08-26T20:07:10.1742655Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-26T20:07:10.1743381Z "size": 28690, 2025-08-26T20:07:10.1744172Z "digest": "sha256:41ed75fc52f95a14171f2773060d4b8c7bf5cd70ee1f9ed61af5c6f05633d2e1" 2025-08-26T20:07:10.1745152Z }, 2025-08-26T20:07:10.1745636Z "layers": [ 2025-08-26T20:07:10.1746067Z { 2025-08-26T20:07:10.1746744Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T20:07:10.1747466Z "size": 30448173, 2025-08-26T20:07:10.1748428Z "digest": "sha256:660ffc76f83b006444a5731b215acc2e35138d8be5cac8ed1ffd40f947117495" 2025-08-26T20:07:10.1749244Z }, 2025-08-26T20:07:10.1749612Z { 2025-08-26T20:07:10.1750181Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T20:07:10.1750888Z "size": 1554, 2025-08-26T20:07:10.1751615Z "digest": "sha256:bc6828dc3a67bd1a0f7dc77dd5b628363201b20ed5e62b20b10984b773009991" 2025-08-26T20:07:10.1752416Z }, 2025-08-26T20:07:10.1752743Z { 2025-08-26T20:07:10.1753305Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T20:07:10.1754010Z "size": 314207417, 2025-08-26T20:07:10.1754729Z "digest": "sha256:7b2dfea23c272d60bf2112a68f787ba306952f77155ca761531c8fc9361f378c" 2025-08-26T20:07:10.1755521Z }, 2025-08-26T20:07:10.1756537Z { 2025-08-26T20:07:10.1757138Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T20:07:10.1757871Z "size": 704, 2025-08-26T20:07:10.1758712Z "digest": "sha256:ac0275b0c50249be92f01cc4af6e523f5d9836efbd51a5c46e35e6456bbe6aca" 2025-08-26T20:07:10.1759507Z }, 2025-08-26T20:07:10.1759839Z { 2025-08-26T20:07:10.1760390Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T20:07:10.1761079Z "size": 1217, 2025-08-26T20:07:10.1761781Z "digest": "sha256:0fa728b0a1ed7df645fedb808febff4732e70c22330451b6f15ae7c4891f6a2f" 2025-08-26T20:07:10.1762577Z }, 2025-08-26T20:07:10.1762908Z { 2025-08-26T20:07:10.1763454Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T20:07:10.1764165Z "size": 485, 2025-08-26T20:07:10.1764858Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-26T20:07:10.1940311Z }, 2025-08-26T20:07:10.1940633Z { 2025-08-26T20:07:10.1941205Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T20:07:10.1941899Z "size": 108, 2025-08-26T20:07:10.1942596Z "digest": "sha256:55f5b1a7b81af5f320bc38b9adf6d3d5c927467a967761e42332ab91f329f78a" 2025-08-26T20:07:10.1943379Z }, 2025-08-26T20:07:10.1943699Z { 2025-08-26T20:07:10.1944240Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-26T20:07:10.1944937Z "size": 54145665, 2025-08-26T20:07:10.1945649Z "digest": "sha256:23d59792f208c2aa24cf70f27a98fde4b5b3808396e9ab928debaf8b886dc96a" 2025-08-26T20:07:10.1946424Z } 2025-08-26T20:07:10.1946746Z ] 2025-08-26T20:07:10.1947069Z } 2025-08-26T20:07:10.1947424Z + exit 0 2025-08-26T20:07:10.1996802Z ##[group]Run set -eux 2025-08-26T20:07:10.1997269Z set -eux 2025-08-26T20:07:10.1997980Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-08-26T20:07:10.1999923Z 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 2025-08-26T20:07:10.2056850Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:10.2057520Z env: 2025-08-26T20:07:10.2057910Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:10.2058630Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:07:10.2059672Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:07:10.2060639Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:07:10.2062331Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:07:10.2063823Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:07:10.2064312Z AWS_REGION: us-east-1 2025-08-26T20:07:10.2064984Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:07:10.2066050Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:07:10.2075993Z AWS_SESSION_TOKEN: *** 2025-08-26T20:07:10.2076443Z ##[endgroup] 2025-08-26T20:07:10.2167544Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-26T20:07:10.2168459Z + jq --raw-output .SecretString 2025-08-26T20:07:10.2169476Z + jq -r .docker_hub_readonly_token 2025-08-26T20:07:10.2171093Z + docker login --username pytorchbot --password-stdin 2025-08-26T20:07:10.9179784Z 2025-08-26T20:07:10.9182680Z An error occurred (AccessDeniedException) when calling the GetSecretValue operation: User: arn:aws:sts::308535385114:assumed-role/gha_workflow_s3_and_ecr_read_only/GitHubActions is not authorized to perform: secretsmanager:GetSecretValue on resource: docker_hub_readonly_token because no identity-based policy allows the secretsmanager:GetSecretValue action 2025-08-26T20:07:10.9956301Z Error: Cannot perform an interactive login from a non TTY device 2025-08-26T20:07:10.9986096Z + true 2025-08-26T20:07:11.0108482Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-26T20:07:11.0109108Z with: 2025-08-26T20:07:11.0110021Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:11.0111147Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:07:11.0111648Z env: 2025-08-26T20:07:11.0111936Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:11.0112479Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:07:11.0113256Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:07:11.0113974Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:07:11.0115268Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:07:11.0116433Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:07:11.0116797Z AWS_REGION: us-east-1 2025-08-26T20:07:11.0117229Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:07:11.0117727Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:07:11.0125979Z AWS_SESSION_TOKEN: *** 2025-08-26T20:07:11.0126310Z ##[endgroup] 2025-08-26T20:07:11.0148200Z ##[group]Run set -x 2025-08-26T20:07:11.0148581Z set -x 2025-08-26T20:07:11.0148875Z set +e 2025-08-26T20:07:11.0149169Z  2025-08-26T20:07:11.0149459Z login() { 2025-08-26T20:07:11.0150091Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-26T20:07:11.0150768Z } 2025-08-26T20:07:11.0151052Z  2025-08-26T20:07:11.0151333Z retry () { 2025-08-26T20:07:11.0151699Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-26T20:07:11.0152132Z } 2025-08-26T20:07:11.0152410Z  2025-08-26T20:07:11.0152730Z retry login "${DOCKER_REGISTRY}" 2025-08-26T20:07:11.0153129Z  2025-08-26T20:07:11.0153757Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-26T20:07:11.0154604Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-26T20:07:11.0155091Z  2025-08-26T20:07:11.0155362Z set -e 2025-08-26T20:07:11.0155815Z # ignore output since only exit code is used for conditional 2025-08-26T20:07:11.0156451Z # only pull docker image if it's not available locally 2025-08-26T20:07:11.0157157Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-26T20:07:11.0157840Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-26T20:07:11.0158267Z fi 2025-08-26T20:07:11.0199014Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:07:11.0199523Z env: 2025-08-26T20:07:11.0200171Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:07:11.0200832Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:07:11.0201768Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:07:11.0202628Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:07:11.0204124Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:07:11.0205510Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:07:11.0205901Z AWS_REGION: us-east-1 2025-08-26T20:07:11.0206337Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:07:11.0206839Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:07:11.0214714Z AWS_SESSION_TOKEN: *** 2025-08-26T20:07:11.0215979Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:11.0217106Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:07:11.0217611Z ##[endgroup] 2025-08-26T20:07:11.0282265Z + set +e 2025-08-26T20:07:11.0282812Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:07:11.0283390Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:07:11.0287156Z + aws ecr get-login-password --region us-east-1 2025-08-26T20:07:11.0289352Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T20:07:12.5240136Z WARNING! Your password will be stored unencrypted in /home/pytorchci/.docker/config.json. 2025-08-26T20:07:12.5241248Z Configure a credential helper to remove this warning. See 2025-08-26T20:07:12.5242231Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-26T20:07:12.5242922Z 2025-08-26T20:07:12.5243550Z Login Succeeded 2025-08-26T20:07:12.5298715Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:12.5300382Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-26T20:07:13.9693680Z + IMAGE_SIZE=17755.090564727783 2025-08-26T20:07:13.9694422Z + echo 'Compressed size of image in MB: 17755.090564727783' 2025-08-26T20:07:13.9695066Z + set -e 2025-08-26T20:07:13.9696416Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:13.9697957Z Compressed size of image in MB: 17755.090564727783 2025-08-26T20:07:13.9947485Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:13.9949313Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:07:15.0855135Z pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6: Pulling from pytorch/ci-image 2025-08-26T20:07:15.0856335Z 660ffc76f83b: Already exists 2025-08-26T20:07:15.0882576Z bc6828dc3a67: Pulling fs layer 2025-08-26T20:07:15.0883331Z 7b2dfea23c27: Pulling fs layer 2025-08-26T20:07:15.0883972Z ac0275b0c502: Pulling fs layer 2025-08-26T20:07:15.0884604Z 0fa728b0a1ed: Pulling fs layer 2025-08-26T20:07:15.0886408Z ab2a2f72897f: Pulling fs layer 2025-08-26T20:07:15.0887046Z 76f34d253721: Pulling fs layer 2025-08-26T20:07:15.0887669Z ea244fd86474: Pulling fs layer 2025-08-26T20:07:15.0888184Z c6de97442ffc: Pulling fs layer 2025-08-26T20:07:15.0888694Z 13792f6142bb: Pulling fs layer 2025-08-26T20:07:15.0889203Z a121b2880e1b: Pulling fs layer 2025-08-26T20:07:15.0889676Z 949734882de5: Pulling fs layer 2025-08-26T20:07:15.0890164Z 64ea35337f8f: Pulling fs layer 2025-08-26T20:07:15.0890648Z c4b66cb3e145: Pulling fs layer 2025-08-26T20:07:15.0891122Z 232df2b7a4d5: Pulling fs layer 2025-08-26T20:07:15.0892449Z 7e9e15046c34: Pulling fs layer 2025-08-26T20:07:15.0892920Z ab2a2f72897f: Waiting 2025-08-26T20:07:15.0893390Z caa1b75b8cfc: Pulling fs layer 2025-08-26T20:07:15.0893863Z 76f34d253721: Waiting 2025-08-26T20:07:15.0894294Z ef2fd9780818: Pulling fs layer 2025-08-26T20:07:15.0894751Z ea244fd86474: Waiting 2025-08-26T20:07:15.0895175Z ed2742eeca4e: Pulling fs layer 2025-08-26T20:07:15.0895666Z ad2cc351bffe: Pulling fs layer 2025-08-26T20:07:15.0896122Z c6de97442ffc: Waiting 2025-08-26T20:07:15.0896582Z 1df8167aeff3: Pulling fs layer 2025-08-26T20:07:15.0897028Z 13792f6142bb: Waiting 2025-08-26T20:07:15.0897427Z 79e4bc31cb69: Pulling fs layer 2025-08-26T20:07:15.0897872Z a121b2880e1b: Waiting 2025-08-26T20:07:15.0898270Z 949734882de5: Waiting 2025-08-26T20:07:15.0898689Z eb7c004c95aa: Pulling fs layer 2025-08-26T20:07:15.0899138Z 64ea35337f8f: Waiting 2025-08-26T20:07:15.0899556Z 0e4b9a70a66f: Pulling fs layer 2025-08-26T20:07:15.0900005Z c4b66cb3e145: Waiting 2025-08-26T20:07:15.0900854Z 353055e75788: Pulling fs layer 2025-08-26T20:07:15.0901329Z ac07703b69dd: Pulling fs layer 2025-08-26T20:07:15.0901775Z 232df2b7a4d5: Waiting 2025-08-26T20:07:15.0902159Z 7e9e15046c34: Waiting 2025-08-26T20:07:15.0902597Z 0766a0a2d9c1: Pulling fs layer 2025-08-26T20:07:15.0903063Z ad2cc351bffe: Waiting 2025-08-26T20:07:15.0903492Z cb135f46440b: Pulling fs layer 2025-08-26T20:07:15.0903958Z 5b5d7430bacb: Pulling fs layer 2025-08-26T20:07:15.0904426Z 0780d907ae80: Pulling fs layer 2025-08-26T20:07:15.0904886Z 8209033650a2: Pulling fs layer 2025-08-26T20:07:15.0905341Z 93257ca5c279: Pulling fs layer 2025-08-26T20:07:15.0905800Z ed5131773436: Pulling fs layer 2025-08-26T20:07:15.0906260Z ab76e025f90a: Pulling fs layer 2025-08-26T20:07:15.0906701Z caa1b75b8cfc: Waiting 2025-08-26T20:07:15.0907108Z ef2fd9780818: Waiting 2025-08-26T20:07:15.0907534Z c4ac9ebc03ab: Pulling fs layer 2025-08-26T20:07:15.0908180Z 0f80df9ec0a8: Pulling fs layer 2025-08-26T20:07:15.0908642Z ed2742eeca4e: Waiting 2025-08-26T20:07:15.0909103Z d773426c510c: Pulling fs layer 2025-08-26T20:07:15.0909579Z 0fa728b0a1ed: Waiting 2025-08-26T20:07:15.0909988Z 0e4b9a70a66f: Waiting 2025-08-26T20:07:15.0910407Z bc0360305afd: Pulling fs layer 2025-08-26T20:07:15.0910887Z 353055e75788: Waiting 2025-08-26T20:07:15.0911297Z 4f4fb700ef54: Pulling fs layer 2025-08-26T20:07:15.0911746Z ac07703b69dd: Waiting 2025-08-26T20:07:15.0912155Z 1ee6867cb41c: Pulling fs layer 2025-08-26T20:07:15.0912599Z eb7c004c95aa: Waiting 2025-08-26T20:07:15.0912996Z 1df8167aeff3: Waiting 2025-08-26T20:07:15.0913397Z 0766a0a2d9c1: Waiting 2025-08-26T20:07:15.0913816Z e7c2dba69e4c: Pulling fs layer 2025-08-26T20:07:15.0914271Z cb135f46440b: Waiting 2025-08-26T20:07:15.0914686Z df4a3bc53368: Pulling fs layer 2025-08-26T20:07:15.0915135Z ab76e025f90a: Waiting 2025-08-26T20:07:15.0915546Z 3774639b031e: Pulling fs layer 2025-08-26T20:07:15.0916004Z 22a030503b34: Pulling fs layer 2025-08-26T20:07:15.0916436Z 0780d907ae80: Waiting 2025-08-26T20:07:15.0916847Z 69f78ebbc5f8: Pulling fs layer 2025-08-26T20:07:15.0917315Z 8209033650a2: Waiting 2025-08-26T20:07:15.0917694Z 4f4fb700ef54: Waiting 2025-08-26T20:07:15.0918101Z 1a37b62fcfe4: Pulling fs layer 2025-08-26T20:07:15.0918542Z 1ee6867cb41c: Waiting 2025-08-26T20:07:15.0918945Z 933c9d7478a2: Pulling fs layer 2025-08-26T20:07:15.0919380Z e7c2dba69e4c: Waiting 2025-08-26T20:07:15.0919792Z 42ad1f39f3fd: Pulling fs layer 2025-08-26T20:07:15.0920233Z 79e4bc31cb69: Waiting 2025-08-26T20:07:15.0920631Z 434bc8db9244: Pulling fs layer 2025-08-26T20:07:15.0921065Z ed5131773436: Waiting 2025-08-26T20:07:15.0921458Z 08776d9294f3: Pulling fs layer 2025-08-26T20:07:15.0921911Z d221e08864cf: Pulling fs layer 2025-08-26T20:07:15.0922358Z 0f80df9ec0a8: Waiting 2025-08-26T20:07:15.0922759Z 55f5b1a7b81a: Pulling fs layer 2025-08-26T20:07:15.0923211Z 23d59792f208: Pulling fs layer 2025-08-26T20:07:15.0923648Z c4ac9ebc03ab: Waiting 2025-08-26T20:07:15.0924046Z 434bc8db9244: Waiting 2025-08-26T20:07:15.0924431Z df4a3bc53368: Waiting 2025-08-26T20:07:15.0924818Z 1a37b62fcfe4: Waiting 2025-08-26T20:07:15.0925529Z 08776d9294f3: Waiting 2025-08-26T20:07:15.0925905Z 933c9d7478a2: Waiting 2025-08-26T20:07:15.0926280Z 23d59792f208: Waiting 2025-08-26T20:07:15.0926655Z d221e08864cf: Waiting 2025-08-26T20:07:15.0927035Z 55f5b1a7b81a: Waiting 2025-08-26T20:07:15.0927421Z 22a030503b34: Waiting 2025-08-26T20:07:15.0927806Z 69f78ebbc5f8: Waiting 2025-08-26T20:07:15.0928188Z 3774639b031e: Waiting 2025-08-26T20:07:15.0928561Z d773426c510c: Waiting 2025-08-26T20:07:15.0928933Z 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308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:19:36.6241560Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:19:36.6353486Z Prepare all required actions 2025-08-26T20:19:36.6406997Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-26T20:19:36.6407669Z with: 2025-08-26T20:19:36.6408441Z github-token: *** 2025-08-26T20:19:36.6408888Z env: 2025-08-26T20:19:36.6409246Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:36.6409925Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:19:36.6410922Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:19:36.6411822Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:19:36.6413440Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:19:36.6414865Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:19:36.6415325Z AWS_REGION: us-east-1 2025-08-26T20:19:36.6415923Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:19:36.6416551Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:19:36.6425746Z AWS_SESSION_TOKEN: *** 2025-08-26T20:19:36.6426170Z ##[endgroup] 2025-08-26T20:19:36.6454736Z ##[group]Run set -eux 2025-08-26T20:19:36.6455204Z set -eux 2025-08-26T20:19:36.6455962Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-26T20:19:36.6513115Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:19:36.6513784Z env: 2025-08-26T20:19:36.6514193Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:36.6514921Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:19:36.6516060Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:19:36.6517251Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:19:36.6519248Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:19:36.6521077Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:19:36.6521645Z AWS_REGION: us-east-1 2025-08-26T20:19:36.6522187Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:19:36.6522862Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:19:36.6532561Z AWS_SESSION_TOKEN: *** 2025-08-26T20:19:36.6533170Z GITHUB_TOKEN: *** 2025-08-26T20:19:36.6533570Z ##[endgroup] 2025-08-26T20:19:36.6621331Z + python3 .github/scripts/get_workflow_job_id.py 17248463650 pytorch-rocm-hw-03 2025-08-26T20:19:37.2064048Z Setting output job-id=48946809453 2025-08-26T20:19:37.2065669Z Setting output job-name=linux-jammy-rocm-py3.10 / test (default, 1, 6, linux.rocm.gpu.2) 2025-08-26T20:19:37.2292851Z Prepare all required actions 2025-08-26T20:19:37.2293584Z Getting action download info 2025-08-26T20:19:37.5629939Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-26T20:19:38.2139527Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-26T20:19:38.8427090Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-26T20:19:38.8427730Z with: 2025-08-26T20:19:38.8428283Z name: linux-jammy-rocm-py3.10 2025-08-26T20:19:38.8428825Z s3-bucket: gha-artifacts 2025-08-26T20:19:38.8429273Z env: 2025-08-26T20:19:38.8429643Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:38.8430347Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:19:38.8431379Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:19:38.8432423Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:19:38.8434098Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:19:38.8435618Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:19:38.8436113Z AWS_REGION: us-east-1 2025-08-26T20:19:38.8436690Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:19:38.8437480Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:19:38.8448228Z AWS_SESSION_TOKEN: *** 2025-08-26T20:19:38.8448776Z ##[endgroup] 2025-08-26T20:19:38.8535866Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-26T20:19:38.8536447Z with: 2025-08-26T20:19:38.8536859Z name: linux-jammy-rocm-py3.10 2025-08-26T20:19:38.8537373Z s3-bucket: gha-artifacts 2025-08-26T20:19:38.8537829Z region: us-east-1 2025-08-26T20:19:38.8538214Z env: 2025-08-26T20:19:38.8538581Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:19:38.8539311Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:19:38.8540321Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:19:38.8541275Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:19:38.8542953Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:19:38.8544452Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:19:38.8544947Z AWS_REGION: us-east-1 2025-08-26T20:19:38.8545510Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:19:38.8546164Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:19:38.8556142Z AWS_SESSION_TOKEN: *** 2025-08-26T20:19:38.8556633Z ##[endgroup] 2025-08-26T20:19:39.2674443Z (node:1326689) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-26T20:19:39.2674975Z 2025-08-26T20:19:39.2675172Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-26T20:19:39.2675704Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-26T20:19:39.2676208Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-26T20:19:39.5414622Z Found 1 objects with prefix pytorch/pytorch/17248463650/linux-jammy-rocm-py3.10/ 2025-08-26T20:19:39.5415849Z Starting download (1/1): /home/pytorchci/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-26T20:21:06.4566377Z Finished download (1/1): /home/pytorchci/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-26T20:21:06.4577448Z Artifact download has finished successfully 2025-08-26T20:21:06.5105128Z ##[group]Run unzip -o artifacts.zip 2025-08-26T20:21:06.5105740Z unzip -o artifacts.zip 2025-08-26T20:21:06.5162362Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:21:06.5163148Z env: 2025-08-26T20:21:06.5164116Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:21:06.5165310Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:21:06.5166382Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:21:06.5167355Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:21:06.5169030Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:21:06.5170585Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:21:06.5171073Z AWS_REGION: us-east-1 2025-08-26T20:21:06.5171653Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:21:06.5172332Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:21:06.5182235Z AWS_SESSION_TOKEN: *** 2025-08-26T20:21:06.5182675Z ##[endgroup] 2025-08-26T20:21:06.5290311Z Archive: artifacts.zip 2025-08-26T20:21:06.5291244Z creating: dist/ 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build/bin/hip_complex_test 2025-08-26T20:21:17.9206695Z inflating: build/bin/hip_distributions_test 2025-08-26T20:21:17.9254671Z inflating: build/bin/hip_generator_test 2025-08-26T20:21:17.9305720Z inflating: build/bin/hip_dlconvertor_test 2025-08-26T20:21:17.9353857Z inflating: build/bin/hip_half_test 2025-08-26T20:21:17.9402298Z inflating: build/bin/hip_integer_divider_test 2025-08-26T20:21:17.9450259Z inflating: build/bin/hip_optional_test 2025-08-26T20:21:17.9498326Z inflating: build/bin/hip_packedtensoraccessor_test 2025-08-26T20:21:17.9546219Z inflating: build/bin/hip_vectorized_test 2025-08-26T20:21:17.9883633Z inflating: build/bin/test_nativert 2025-08-26T20:21:17.9937068Z inflating: build/bin/test_dist_autograd 2025-08-26T20:21:18.0002794Z inflating: build/bin/test_cpp_rpc 2025-08-26T20:21:18.1057339Z inflating: build/bin/test_api 2025-08-26T20:21:18.2060147Z inflating: build/bin/test_jit 2025-08-26T20:21:18.2061498Z inflating: build/bin/parallel_benchmark 2025-08-26T20:21:18.2384699Z inflating: build/bin/test_lazy 2025-08-26T20:21:18.2385365Z creating: .additional_ci_files/ 2025-08-26T20:21:18.2456525Z inflating: .additional_ci_files/test-times.json 2025-08-26T20:21:18.2726851Z inflating: .additional_ci_files/test-class-times.json 2025-08-26T20:21:18.2776541Z ##[group]Run rm artifacts.zip 2025-08-26T20:21:18.2777057Z rm artifacts.zip 2025-08-26T20:21:18.2830593Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:21:18.2831244Z env: 2025-08-26T20:21:18.2831629Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:21:18.2832305Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:21:18.2833294Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:21:18.2834220Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:21:18.2836292Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:21:18.2838380Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:21:18.2838934Z AWS_REGION: us-east-1 2025-08-26T20:21:18.2839588Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:21:18.2840531Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:21:18.2850357Z AWS_SESSION_TOKEN: *** 2025-08-26T20:21:18.2850795Z ##[endgroup] 2025-08-26T20:21:18.5599079Z ##[group]Run df -H 2025-08-26T20:21:18.5599516Z df -H 2025-08-26T20:21:18.5661557Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:21:18.5662232Z env: 2025-08-26T20:21:18.5662618Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:21:18.5663355Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:21:18.5664400Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:21:18.5665367Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:21:18.5667064Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:21:18.5668700Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:21:18.5669202Z AWS_REGION: us-east-1 2025-08-26T20:21:18.5669785Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:21:18.5670436Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:21:18.5680288Z AWS_SESSION_TOKEN: *** 2025-08-26T20:21:18.5680723Z ##[endgroup] 2025-08-26T20:21:18.5792931Z Filesystem Size Used Avail Use% Mounted on 2025-08-26T20:21:18.5793770Z tmpfs 14G 17M 14G 1% /run 2025-08-26T20:21:18.5794531Z /dev/mapper/ubuntu--vg-ubuntu--lv 1.9T 505G 1.3T 29% / 2025-08-26T20:21:18.5795281Z tmpfs 68G 8.2k 68G 1% /dev/shm 2025-08-26T20:21:18.5795993Z tmpfs 5.3M 0 5.3M 0% /run/lock 2025-08-26T20:21:18.5796860Z /dev/sda2 2.1G 356M 1.6G 19% /boot 2025-08-26T20:21:18.5797673Z /dev/sda1 1.2G 6.4M 1.2G 1% /boot/efi 2025-08-26T20:21:18.5798778Z tmpfs 14G 17k 14G 1% /run/user/1001 2025-08-26T20:21:18.5859042Z Prepare all required actions 2025-08-26T20:21:18.5859736Z Getting action download info 2025-08-26T20:21:18.9268374Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-26T20:21:18.9269039Z with: 2025-08-26T20:21:18.9269427Z env: 2025-08-26T20:21:18.9269810Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:21:18.9270523Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:21:18.9271650Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:21:18.9272650Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:21:18.9274333Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:21:18.9275868Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:21:18.9276363Z AWS_REGION: us-east-1 2025-08-26T20:21:18.9277018Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:21:18.9277682Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:21:18.9287585Z AWS_SESSION_TOKEN: *** 2025-08-26T20:21:18.9288045Z ##[endgroup] 2025-08-26T20:21:18.9340775Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-26T20:21:18.9341416Z with: 2025-08-26T20:21:18.9341799Z name: td_results 2025-08-26T20:21:18.9342233Z s3-bucket: gha-artifacts 2025-08-26T20:21:18.9342700Z region: us-east-1 2025-08-26T20:21:18.9343090Z env: 2025-08-26T20:21:18.9343464Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:21:18.9344178Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:21:18.9345236Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:21:18.9350151Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:21:18.9351835Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:21:18.9353328Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:21:18.9353823Z AWS_REGION: us-east-1 2025-08-26T20:21:18.9354375Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:21:18.9355045Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:21:18.9364920Z AWS_SESSION_TOKEN: *** 2025-08-26T20:21:18.9365378Z ##[endgroup] 2025-08-26T20:21:19.3389653Z (node:1326779) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-26T20:21:19.3390576Z 2025-08-26T20:21:19.3390928Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-26T20:21:19.3391854Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-26T20:21:19.3392850Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-26T20:21:19.6066709Z Found 1 objects with prefix pytorch/pytorch/17248463650/td_results/ 2025-08-26T20:21:19.6067932Z Starting download (1/1): /home/pytorchci/actions-runner/_work/pytorch/pytorch/td_results.json 2025-08-26T20:21:19.9336388Z Finished download (1/1): /home/pytorchci/actions-runner/_work/pytorch/pytorch/td_results.json 2025-08-26T20:21:19.9347849Z Artifact download has finished successfully 2025-08-26T20:21:19.9829767Z ##[group]Run mkdir -p .additional_ci_files 2025-08-26T20:21:19.9830416Z mkdir -p .additional_ci_files 2025-08-26T20:21:19.9831161Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-26T20:21:19.9888684Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:21:19.9889346Z env: 2025-08-26T20:21:19.9889740Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:21:19.9890452Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:21:19.9891544Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:21:19.9892489Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:21:19.9894636Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:21:19.9896212Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:21:19.9896702Z AWS_REGION: us-east-1 2025-08-26T20:21:19.9897287Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:21:19.9897955Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:21:19.9907920Z AWS_SESSION_TOKEN: *** 2025-08-26T20:21:19.9908478Z ##[endgroup] 2025-08-26T20:21:20.0101800Z ##[group]Run .github/scripts/parse_ref.py 2025-08-26T20:21:20.0102483Z .github/scripts/parse_ref.py 2025-08-26T20:21:20.0157726Z shell: /usr/bin/bash -e {0} 2025-08-26T20:21:20.0158228Z env: 2025-08-26T20:21:20.0158629Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:21:20.0159353Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:21:20.0160408Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:21:20.0161378Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:21:20.0163043Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:21:20.0164559Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:21:20.0165049Z AWS_REGION: us-east-1 2025-08-26T20:21:20.0165610Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:21:20.0166337Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:21:20.0176161Z AWS_SESSION_TOKEN: *** 2025-08-26T20:21:20.0176602Z ##[endgroup] 2025-08-26T20:21:20.0501140Z Setting output branch=main 2025-08-26T20:21:20.0700884Z Prepare all required actions 2025-08-26T20:21:20.0701641Z Getting action download info 2025-08-26T20:21:20.2488287Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-26T20:21:20.2488903Z with: 2025-08-26T20:21:20.2489597Z github-token: *** 2025-08-26T20:21:20.2492230Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.2"}]} 2025-08-26T20:21:20.2495190Z job-name: linux-jammy-rocm-py3.10 / test (default, 1, 6, linux.rocm.gpu.2) 2025-08-26T20:21:20.2495973Z env: 2025-08-26T20:21:20.2496420Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:21:20.2497151Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:21:20.2498173Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:21:20.2499124Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:21:20.2500819Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:21:20.2502340Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:21:20.2502840Z AWS_REGION: us-east-1 2025-08-26T20:21:20.2503360Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:21:20.2504083Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:21:20.2513993Z AWS_SESSION_TOKEN: *** 2025-08-26T20:21:20.2514447Z ##[endgroup] 2025-08-26T20:21:20.2605522Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-26T20:21:20.2606061Z with: 2025-08-26T20:21:20.2606427Z shell: bash 2025-08-26T20:21:20.2606846Z timeout_minutes: 10 2025-08-26T20:21:20.2607270Z max_attempts: 5 2025-08-26T20:21:20.2607688Z retry_wait_seconds: 30 2025-08-26T20:21:20.2609045Z 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 2025-08-26T20:21:20.2610486Z polling_interval_seconds: 1 2025-08-26T20:21:20.2610989Z warning_on_retry: true 2025-08-26T20:21:20.2611427Z continue_on_error: false 2025-08-26T20:21:20.2611861Z env: 2025-08-26T20:21:20.2612241Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:21:20.2612954Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:21:20.2614024Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:21:20.2614996Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:21:20.2616701Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:21:20.2618261Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:21:20.2618772Z AWS_REGION: us-east-1 2025-08-26T20:21:20.2619326Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:21:20.2619989Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:21:20.2630059Z AWS_SESSION_TOKEN: *** 2025-08-26T20:21:20.2630753Z GITHUB_TOKEN: *** 2025-08-26T20:21:20.2631179Z ##[endgroup] 2025-08-26T20:21:20.3430964Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-26T20:21:20.5924177Z Defaulting to user installation because normal site-packages is not writeable 2025-08-26T20:21:20.6909653Z Requirement already satisfied: requests==2.27.1 in /home/pytorchci/.local/lib/python3.10/site-packages (2.27.1) 2025-08-26T20:21:20.6913346Z Requirement already satisfied: pyyaml==6.0.2 in /home/pytorchci/.local/lib/python3.10/site-packages (6.0.2) 2025-08-26T20:21:20.7004612Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.27.1) (1.26.5) 2025-08-26T20:21:20.7012376Z Requirement already satisfied: charset-normalizer~=2.0.0 in /home/pytorchci/.local/lib/python3.10/site-packages (from requests==2.27.1) (2.0.12) 2025-08-26T20:21:20.7021530Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.27.1) (3.3) 2025-08-26T20:21:20.7025915Z Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.27.1) (2020.6.20) 2025-08-26T20:21:21.3426842Z Command completed after 1 attempt(s). 2025-08-26T20:21:21.3538153Z ##[group]Run set -x 2025-08-26T20:21:21.3538622Z set -x 2025-08-26T20:21:21.3539056Z  2025-08-26T20:21:21.3539748Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-26T20:21:21.3540603Z # in runner workspace 2025-08-26T20:21:21.3541322Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-26T20:21:21.3599577Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:21:21.3600249Z env: 2025-08-26T20:21:21.3600658Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:21:21.3601411Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:21:21.3602515Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:21:21.3603524Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:21:21.3605262Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:21:21.3606823Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:21:21.3607322Z AWS_REGION: us-east-1 2025-08-26T20:21:21.3607907Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:21:21.3608600Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:21:21.3618696Z AWS_SESSION_TOKEN: *** 2025-08-26T20:21:21.3619178Z ##[endgroup] 2025-08-26T20:21:21.3706201Z + python3 /home/pytorchci/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-26T20:21:21.3968100Z Setting output branch=main 2025-08-26T20:21:21.4043142Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-26T20:21:21.4043939Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-26T20:21:21.4044510Z echo "Job name: ${JOB_NAME}" 2025-08-26T20:21:21.4044984Z  2025-08-26T20:21:21.4045604Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-26T20:21:21.4046377Z # in runner workspace 2025-08-26T20:21:21.4047076Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-26T20:21:21.4047870Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-26T20:21:21.4048418Z  --job-name "${JOB_NAME}" \ 2025-08-26T20:21:21.4051526Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.2"}]}" \ 2025-08-26T20:21:21.4054417Z  --selected-test-configs "" \ 2025-08-26T20:21:21.4055008Z  --pr-number "${PR_NUMBER}" \ 2025-08-26T20:21:21.4055565Z  --tag "${TAG}" \ 2025-08-26T20:21:21.4056089Z  --event-name "${EVENT_NAME}" \ 2025-08-26T20:21:21.4056660Z  --schedule "${SCHEDULE}" \ 2025-08-26T20:21:21.4057201Z  --branch "${HEAD_BRANCH}" 2025-08-26T20:21:21.4115338Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:21:21.4116695Z env: 2025-08-26T20:21:21.4117090Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:21:21.4117789Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:21:21.4118945Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:21:21.4120096Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:21:21.4122070Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:21:21.4123857Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:21:21.4124343Z AWS_REGION: us-east-1 2025-08-26T20:21:21.4124875Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:21:21.4125512Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:21:21.4135947Z AWS_SESSION_TOKEN: *** 2025-08-26T20:21:21.4136645Z GITHUB_TOKEN: *** 2025-08-26T20:21:21.4137337Z JOB_NAME: linux-jammy-rocm-py3.10 / test (default, 1, 6, linux.rocm.gpu.2) 2025-08-26T20:21:21.4138111Z PR_NUMBER: 2025-08-26T20:21:21.4138494Z TAG: 2025-08-26T20:21:21.4138848Z EVENT_NAME: push 2025-08-26T20:21:21.4139251Z SCHEDULE: 2025-08-26T20:21:21.4139632Z HEAD_BRANCH: main 2025-08-26T20:21:21.4140032Z ##[endgroup] 2025-08-26T20:21:21.4227052Z Workflow: rocm 2025-08-26T20:21:21.4227760Z Job name: linux-jammy-rocm-py3.10 / test (default, 1, 6, linux.rocm.gpu.2) 2025-08-26T20:21:21.9998526Z Setting output keep-going=True 2025-08-26T20:21:21.9999224Z Setting output ci-verbose-test-logs=False 2025-08-26T20:21:21.9999854Z Setting output ci-test-showlocals=False 2025-08-26T20:21:22.0000453Z Setting output ci-no-test-timeout=False 2025-08-26T20:21:22.0001004Z Setting output ci-no-td=False 2025-08-26T20:21:22.0001527Z Setting output ci-td-distributed=False 2025-08-26T20:21:22.0002097Z Setting output is-unstable=False 2025-08-26T20:21:22.0002625Z Setting output reenabled-issues= 2025-08-26T20:21:22.0005438Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.2"}]} 2025-08-26T20:21:22.0008319Z Setting output is-test-matrix-empty=False 2025-08-26T20:21:22.0204096Z ##[group]Run echo "Filtered matrix:" 2025-08-26T20:21:22.0204710Z echo "Filtered matrix:" 2025-08-26T20:21:22.0207431Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.2"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.2"}]}" 2025-08-26T20:21:22.0210128Z  2025-08-26T20:21:22.0210492Z echo 2025-08-26T20:21:22.0210971Z echo "Is the current job unstable? False" 2025-08-26T20:21:22.0211549Z  2025-08-26T20:21:22.0211903Z echo 2025-08-26T20:21:22.0212338Z echo "Is keep-going label set? True" 2025-08-26T20:21:22.0212880Z  2025-08-26T20:21:22.0213228Z echo 2025-08-26T20:21:22.0213621Z echo "Reenabled issues? " 2025-08-26T20:21:22.0270482Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:21:22.0271145Z env: 2025-08-26T20:21:22.0271524Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:21:22.0272242Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:21:22.0273718Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:21:22.0275036Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:21:22.0276714Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:21:22.0278252Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:21:22.0278759Z AWS_REGION: us-east-1 2025-08-26T20:21:22.0279350Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:21:22.0280026Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:21:22.0289905Z AWS_SESSION_TOKEN: *** 2025-08-26T20:21:22.0290378Z ##[endgroup] 2025-08-26T20:21:22.0374373Z Filtered matrix: 2025-08-26T20:21:22.0376907Z {include: [{config: default, shard: 1, num_shards: 6, runner: linux.rocm.gpu.2}, {config: default, shard: 2, num_shards: 6, runner: linux.rocm.gpu.2}, {config: default, shard: 3, num_shards: 6, runner: linux.rocm.gpu.2}, {config: default, shard: 4, num_shards: 6, runner: linux.rocm.gpu.2}, {config: default, shard: 5, num_shards: 6, runner: linux.rocm.gpu.2}, {config: default, shard: 6, num_shards: 6, runner: linux.rocm.gpu.2}]} 2025-08-26T20:21:22.0379607Z 2025-08-26T20:21:22.0379871Z Is the current job unstable? False 2025-08-26T20:21:22.0380238Z 2025-08-26T20:21:22.0380450Z Is keep-going label set? True 2025-08-26T20:21:22.0380784Z 2025-08-26T20:21:22.0380989Z Reenabled issues? 2025-08-26T20:21:22.0450904Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-26T20:21:22.0451839Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-26T20:21:22.0502810Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T20:21:22.0503474Z env: 2025-08-26T20:21:22.0503866Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:21:22.0504577Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:21:22.0505615Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:21:22.0506597Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:21:22.0508389Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:21:22.0509911Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:21:22.0510471Z AWS_REGION: us-east-1 2025-08-26T20:21:22.0511016Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:21:22.0511689Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:21:22.0521511Z AWS_SESSION_TOKEN: *** 2025-08-26T20:21:22.0521965Z JOB_TIMEOUT: 300 2025-08-26T20:21:22.0522367Z ##[endgroup] 2025-08-26T20:21:22.0695384Z ##[group]Run set -x 2025-08-26T20:21:22.0695943Z set -x 2025-08-26T20:21:22.0696337Z  2025-08-26T20:21:22.0696797Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-26T20:21:22.0697489Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-26T20:21:22.0698209Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-26T20:21:22.0698846Z  TEST_COMMAND=.ci/caffe2/test.sh 2025-08-26T20:21:22.0699366Z else 2025-08-26T20:21:22.0699803Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-26T20:21:22.0700325Z fi 2025-08-26T20:21:22.0700675Z  2025-08-26T20:21:22.0701254Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-26T20:21:22.0702167Z # TODO: Stop building test binaries as part of the build phase 2025-08-26T20:21:22.0702957Z # Used for GPU_FLAG since that doesn't play nice 2025-08-26T20:21:22.0703708Z # shellcheck disable=SC2086,SC2090 2025-08-26T20:21:22.0704301Z container_name=$(docker run \ 2025-08-26T20:21:22.0704837Z  ${GPU_FLAG:-} \ 2025-08-26T20:21:22.0705332Z  -e BUILD_ENVIRONMENT \ 2025-08-26T20:21:22.0705832Z  -e PR_NUMBER \ 2025-08-26T20:21:22.0706708Z  -e GITHUB_ACTIONS \ 2025-08-26T20:21:22.0707213Z  -e GITHUB_REPOSITORY \ 2025-08-26T20:21:22.0707722Z  -e GITHUB_WORKFLOW \ 2025-08-26T20:21:22.0708336Z  -e GITHUB_JOB \ 2025-08-26T20:21:22.0708799Z  -e GITHUB_RUN_ID \ 2025-08-26T20:21:22.0709275Z  -e GITHUB_RUN_NUMBER \ 2025-08-26T20:21:22.0709778Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-26T20:21:22.0710273Z  -e JOB_ID \ 2025-08-26T20:21:22.0710703Z  -e JOB_NAME \ 2025-08-26T20:21:22.0711138Z  -e BRANCH \ 2025-08-26T20:21:22.0711541Z  -e SHA1 \ 2025-08-26T20:21:22.0711963Z  -e AWS_DEFAULT_REGION \ 2025-08-26T20:21:22.0712466Z  -e IN_WHEEL_TEST \ 2025-08-26T20:21:22.0712933Z  -e SHARD_NUMBER \ 2025-08-26T20:21:22.0713398Z  -e TEST_CONFIG \ 2025-08-26T20:21:22.0713856Z  -e NUM_TEST_SHARDS \ 2025-08-26T20:21:22.0714350Z  -e REENABLED_ISSUES \ 2025-08-26T20:21:22.0714883Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-26T20:21:22.0715409Z  -e VERBOSE_TEST_LOGS \ 2025-08-26T20:21:22.0715897Z  -e TEST_SHOWLOCALS \ 2025-08-26T20:21:22.0716372Z  -e NO_TEST_TIMEOUT \ 2025-08-26T20:21:22.0716826Z  -e NO_TD \ 2025-08-26T20:21:22.0717311Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-26T20:21:22.0717937Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-26T20:21:22.0718562Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-26T20:21:22.0719148Z  -e TESTS_TO_INCLUDE \ 2025-08-26T20:21:22.0719649Z  -e DASHBOARD_TAG \ 2025-08-26T20:21:22.0720235Z  --env-file="${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" \ 2025-08-26T20:21:22.0720899Z  --ulimit stack=10485760:83886080 \ 2025-08-26T20:21:22.0721410Z  --ulimit core=0 \ 2025-08-26T20:21:22.0721914Z  --security-opt seccomp=unconfined \ 2025-08-26T20:21:22.0722454Z  --cap-add=SYS_PTRACE \ 2025-08-26T20:21:22.0722929Z  --shm-size="8g" \ 2025-08-26T20:21:22.0723344Z  --tty \ 2025-08-26T20:21:22.0723717Z  --detach \ 2025-08-26T20:21:22.0724139Z  --name="${container_name}" \ 2025-08-26T20:21:22.0724642Z  --user jenkins \ 2025-08-26T20:21:22.0725195Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-26T20:21:22.0725839Z  -w /var/lib/jenkins/workspace \ 2025-08-26T20:21:22.0726347Z  "${DOCKER_IMAGE}" 2025-08-26T20:21:22.0726764Z ) 2025-08-26T20:21:22.0727160Z # save container name for later step 2025-08-26T20:21:22.0728191Z echo "CONTAINER_NAME=${container_name}" >> "$GITHUB_ENV" 2025-08-26T20:21:22.0729447Z # jenkins user does not have write permission to mounted workspace; work-around by copying within container to jenkins home 2025-08-26T20:21:22.0731056Z docker exec -t "${container_name}" sh -c "cd .. && cp -R workspace pytorch && cd pytorch && pip install dist/*.whl && ${TEST_COMMAND}" 2025-08-26T20:21:22.0783855Z shell: /usr/bin/bash -e {0} 2025-08-26T20:21:22.0784341Z env: 2025-08-26T20:21:22.0784722Z GIT_DEFAULT_BRANCH: main 2025-08-26T20:21:22.0785435Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T20:21:22.0786490Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T20:21:22.0787477Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T20:21:22.0789287Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T20:21:22.0790817Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T20:21:22.0791310Z AWS_REGION: us-east-1 2025-08-26T20:21:22.0791861Z AWS_ACCESS_KEY_ID: *** 2025-08-26T20:21:22.0792522Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T20:21:22.0802577Z AWS_SESSION_TOKEN: *** 2025-08-26T20:21:22.0803072Z BUILD_ENVIRONMENT: linux-jammy-rocm-py3.10 2025-08-26T20:21:22.0803602Z PR_NUMBER: 2025-08-26T20:21:22.0803997Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-26T20:21:22.0804490Z GITHUB_WORKFLOW: rocm 2025-08-26T20:21:22.0804885Z GITHUB_JOB: test 2025-08-26T20:21:22.0805266Z GITHUB_RUN_ID: 17248463650 2025-08-26T20:21:22.0805698Z GITHUB_RUN_NUMBER: 29670 2025-08-26T20:21:22.0806124Z GITHUB_RUN_ATTEMPT: 1 2025-08-26T20:21:22.0806514Z JOB_ID: 48946809453 2025-08-26T20:21:22.0807124Z JOB_NAME: linux-jammy-rocm-py3.10 / test (default, 1, 6, linux.rocm.gpu.2) 2025-08-26T20:21:22.0807820Z BRANCH: main 2025-08-26T20:21:22.0808238Z SHA1: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:21:22.0808785Z CONTINUE_THROUGH_ERROR: True 2025-08-26T20:21:22.0809277Z VERBOSE_TEST_LOGS: False 2025-08-26T20:21:22.0809729Z TEST_SHOWLOCALS: False 2025-08-26T20:21:22.0810158Z NO_TEST_TIMEOUT: False 2025-08-26T20:21:22.0810564Z NO_TD: False 2025-08-26T20:21:22.0810960Z TEST_CONFIG: default 2025-08-26T20:21:22.0811376Z SHARD_NUMBER: 1 2025-08-26T20:21:22.0811765Z NUM_TEST_SHARDS: 6 2025-08-26T20:21:22.0812168Z REENABLED_ISSUES: 2025-08-26T20:21:22.0813391Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:21:22.0814728Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-26T20:21:22.0815276Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-26T20:21:22.0815790Z TESTS_TO_INCLUDE: 2025-08-26T20:21:22.0816184Z DASHBOARD_TAG: 2025-08-26T20:21:22.0816570Z ##[endgroup] 2025-08-26T20:21:22.0893407Z + [[ default == \m\u\l\t\i\g\p\u ]] 2025-08-26T20:21:22.0894036Z + [[ linux-jammy-rocm-py3.10 == *onnx* ]] 2025-08-26T20:21:22.0894629Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-26T20:21:22.0908770Z +++ nproc --ignore=2 2025-08-26T20:21:22.0936617Z ++ docker run --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host -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 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 MAX_JOBS=62 -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e TESTS_TO_INCLUDE -e DASHBOARD_TAG --env-file=/home/pytorchci/actions-runner/_work/_temp/github_env_17248463650 --ulimit stack=10485760:83886080 --ulimit core=0 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --shm-size=8g --tty --detach --name= --user jenkins -v /home/pytorchci/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-rocm-n-py3-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 2025-08-26T20:21:26.3622385Z + container_name=2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T20:21:26.3623388Z + echo CONTAINER_NAME=2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T20:21:26.3624815Z + docker exec -t 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 sh -c 'cd .. && cp -R workspace pytorch && cd pytorch && pip install dist/*.whl && .ci/pytorch/test.sh' 2025-08-26T20:21:41.0887641Z Processing ./dist/torch-2.9.0a0+git262640f-cp310-cp310-linux_x86_64.whl 2025-08-26T20:21:41.8552532Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git262640f) (3.19.1) 2025-08-26T20:21:41.8558419Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git262640f) (4.15.0) 2025-08-26T20:21:41.8561296Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git262640f) (1.13.3) 2025-08-26T20:21:41.8563659Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git262640f) (2.8.8) 2025-08-26T20:21:41.8566050Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git262640f) (3.1.6) 2025-08-26T20:21:41.8569584Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git262640f) (2025.7.0) 2025-08-26T20:21:41.8882911Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git262640f) (1.3.0) 2025-08-26T20:21:41.8910352Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git262640f) (3.0.2) 2025-08-26T20:21:42.2538243Z Installing collected packages: torch 2025-08-26T20:21:53.1119455Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-08-26T20:21:53.1121286Z helion 0.1.1 requires filecheck, which is not installed. 2025-08-26T20:21:53.1141738Z Successfully installed torch-2.9.0a0+git262640f 2025-08-26T20:21:53.1733254Z + export TERM=vt100 2025-08-26T20:21:53.1733751Z + TERM=vt100 2025-08-26T20:21:53.1742609Z ++ dirname .ci/pytorch/test.sh 2025-08-26T20:21:53.1766147Z + source .ci/pytorch/common.sh 2025-08-26T20:21:53.1775630Z +++ dirname .ci/pytorch/common.sh 2025-08-26T20:21:53.1797555Z ++ source .ci/pytorch/common_utils.sh 2025-08-26T20:21:53.1798679Z +++ declare -f -t trap_add 2025-08-26T20:21:53.1805429Z ++ set -ex -o pipefail 2025-08-26T20:21:53.1806033Z ++ [[ linux-jammy-rocm-py3.10 == *rocm* ]] 2025-08-26T20:21:53.1806627Z ++ unset HIP_PLATFORM 2025-08-26T20:21:53.1807132Z ++ export PYTORCH_TEST_WITH_ROCM=1 2025-08-26T20:21:53.1807668Z ++ PYTORCH_TEST_WITH_ROCM=1 2025-08-26T20:21:53.1808136Z ++ BUILD_TEST_LIBTORCH=0 2025-08-26T20:21:53.1814010Z ++ dirname .ci/pytorch/test.sh 2025-08-26T20:21:53.1831054Z + source .ci/pytorch/common-build.sh 2025-08-26T20:21:53.1833814Z ++ [[ linux-jammy-rocm-py3.10 != *win-* ]] 2025-08-26T20:21:53.1849274Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-26T20:21:53.1873352Z +++ cd .ci/pytorch 2025-08-26T20:21:53.1873895Z +++ pwd -P 2025-08-26T20:21:53.1881288Z ++ script_dir=/var/lib/jenkins/pytorch/.ci/pytorch 2025-08-26T20:21:53.1882235Z ++ [[ linux-jammy-rocm-py3.10 == *-pch* ]] 2025-08-26T20:21:53.1882838Z ++ which sccache 2025-08-26T20:21:53.1906314Z ++ [[ -z '' ]] 2025-08-26T20:21:53.1906548Z ++ unset SCCACHE_BUCKET 2025-08-26T20:21:53.1906748Z ++ unset SCCACHE_REGION 2025-08-26T20:21:53.1906937Z ++ sccache --stop-server 2025-08-26T20:21:53.1953319Z ++ true 2025-08-26T20:21:53.1953764Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-26T20:21:53.1973842Z ++ trap_add sccache_epilogue EXIT 2025-08-26T20:21:53.1974111Z ++ trap_add_cmd=sccache_epilogue 2025-08-26T20:21:53.1974317Z ++ shift 2025-08-26T20:21:53.1974506Z ++ for trap_add_name in "$@" 2025-08-26T20:21:53.1983648Z ++++ trap -p EXIT 2025-08-26T20:21:53.1988732Z +++ eval 'extract_trap_cmd ' 2025-08-26T20:21:53.1989050Z ++++ extract_trap_cmd 2025-08-26T20:21:53.1989281Z ++++ printf '%s\n' '' 2025-08-26T20:21:53.1989545Z +++ printf '%s\n' sccache_epilogue 2025-08-26T20:21:53.1993269Z ++ trap -- ' 2025-08-26T20:21:53.1993484Z sccache_epilogue' EXIT 2025-08-26T20:21:53.1994942Z ++ [[ -n '' ]] 2025-08-26T20:21:53.1995195Z ++ [[ linux-jammy-rocm-py3.10 == *rocm* ]] 2025-08-26T20:21:53.1995571Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-26T20:21:53.1995911Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-26T20:21:53.1996154Z ++ sccache --start-server 2025-08-26T20:21:53.2029354Z sccache: Starting the server... 2025-08-26T20:21:53.2192540Z sccache: Listening on address 127.0.0.1:4226 2025-08-26T20:21:53.2205373Z ++ sccache --zero-stats 2025-08-26T20:21:53.2231649Z Statistics zeroed. 2025-08-26T20:21:53.2236305Z ++ which ccache 2025-08-26T20:21:53.2249020Z + [[ linux-jammy-rocm-py3.10 != *rocm* ]] 2025-08-26T20:21:53.2249279Z + echo 'Environment variables:' 2025-08-26T20:21:53.2249488Z Environment variables: 2025-08-26T20:21:53.2249664Z + env 2025-08-26T20:21:53.2261393Z GITHUB_WORKSPACE=/home/pytorchci/actions-runner/_work/pytorch/pytorch 2025-08-26T20:21:53.2261864Z CONTINUE_THROUGH_ERROR=True 2025-08-26T20:21:53.2262161Z BUILD_ENVIRONMENT=linux-jammy-rocm-py3.10 2025-08-26T20:21:53.2262486Z HOSTNAME=pytorch-rocm-hw-03 2025-08-26T20:21:53.2263098Z GITHUB_PATH=/home/pytorchci/actions-runner/_work/_temp/_runner_file_commands/add_path_06885e11-ead8-4809-9e10-3ee750ab533e 2025-08-26T20:21:53.2263662Z GITHUB_ACTION=__self 2025-08-26T20:21:53.2263907Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-26T20:21:53.2264181Z GITHUB_RUN_NUMBER=29670 2025-08-26T20:21:53.2264590Z TEST_CONFIG=default 2025-08-26T20:21:53.2264833Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-26T20:21:53.2265118Z AWS_DEFAULT_REGION=us-east-1 2025-08-26T20:21:53.2265391Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-26T20:21:53.2265674Z GITHUB_REF_TYPE=branch 2025-08-26T20:21:53.2267773Z *** 2025-08-26T20:21:53.2268134Z GITHUB_REPOSITORY_ID=65600975 2025-08-26T20:21:53.2268431Z GITHUB_ACTIONS=true 2025-08-26T20:21:53.2268702Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:21:53.2269077Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:21:53.2269586Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/rocm.yml@refs/heads/main 2025-08-26T20:21:53.2270060Z UCC_HOME=/usr 2025-08-26T20:21:53.2270309Z VERBOSE_TEST_LOGS=False 2025-08-26T20:21:53.2270573Z GITHUB_REF=refs/heads/main 2025-08-26T20:21:53.2270839Z SHARD_NUMBER=1 2025-08-26T20:21:53.2271074Z GITHUB_REF_PROTECTED=true 2025-08-26T20:21:53.2271338Z HOME=/var/lib/jenkins 2025-08-26T20:21:53.2271627Z GITHUB_API_URL=https://api.github.com 2025-08-26T20:21:53.2271973Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-26T20:21:53.2272284Z LANG=C.UTF-8 2025-08-26T20:21:53.2272574Z UCX_COMMIT=cc312eaa4655c0cc5c2bcd796db938f90563bcf6 2025-08-26T20:21:53.2272946Z PYTORCH_TEST_WITH_ROCM=1 2025-08-26T20:21:53.2273212Z NUM_TEST_SHARDS=6 2025-08-26T20:21:53.2273444Z UCX_HOME=/usr 2025-08-26T20:21:53.2274039Z GITHUB_STATE=/home/pytorchci/actions-runner/_work/_temp/_runner_file_commands/save_state_06885e11-ead8-4809-9e10-3ee750ab533e 2025-08-26T20:21:53.2274841Z JOB_NAME=linux-jammy-rocm-py3.10 / test (default, 1, 6, linux.rocm.gpu.2) 2025-08-26T20:21:53.2275296Z MAGMA_HOME=/opt/rocm/magma 2025-08-26T20:21:53.2276314Z GITHUB_ENV=/home/pytorchci/actions-runner/_work/_temp/_runner_file_commands/set_env_06885e11-ead8-4809-9e10-3ee750ab533e 2025-08-26T20:21:53.2277152Z GITHUB_EVENT_PATH=/home/pytorchci/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-26T20:21:53.2277644Z GITHUB_EVENT_NAME=push 2025-08-26T20:21:53.2277865Z DASHBOARD_TAG= 2025-08-26T20:21:53.2278080Z GITHUB_RUN_ID=17248463650 2025-08-26T20:21:53.2278643Z GITHUB_STEP_SUMMARY=/home/pytorchci/actions-runner/_work/_temp/_runner_file_commands/step_summary_06885e11-ead8-4809-9e10-3ee750ab533e 2025-08-26T20:21:53.2279254Z GITHUB_ACTOR=pytorchmergebot 2025-08-26T20:21:53.2279497Z PR_NUMBER= 2025-08-26T20:21:53.2279694Z GITHUB_RUN_ATTEMPT=1 2025-08-26T20:21:53.2279943Z ANACONDA_PYTHON_VERSION=3.10 2025-08-26T20:21:53.2280246Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-26T20:21:53.2280557Z TERM=vt100 2025-08-26T20:21:53.2280748Z INSTALLED_VISION=yes 2025-08-26T20:21:53.2280960Z BRANCH=main 2025-08-26T20:21:53.2281161Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-26T20:21:53.2281413Z TESTS_TO_INCLUDE= 2025-08-26T20:21:53.2281851Z GITHUB_ACTION_PATH=/home/pytorchci/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-rocm 2025-08-26T20:21:53.2282369Z GITHUB_SERVER_URL=https://github.com 2025-08-26T20:21:53.2282656Z PYTORCH_ROCM_ARCH=gfx90a;gfx942 2025-08-26T20:21:53.2283170Z UCC_COMMIT=0c0fc21559835044ab107199e334f7157d6a0d3d 2025-08-26T20:21:53.2283468Z REENABLED_ISSUES= 2025-08-26T20:21:53.2283670Z SHLVL=1 2025-08-26T20:21:53.2283858Z MAX_JOBS=62 2025-08-26T20:21:53.2284062Z GITHUB_ACTOR_ID=97764156 2025-08-26T20:21:53.2284373Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:21:53.2284710Z GITHUB_REF_NAME=main 2025-08-26T20:21:53.2284934Z ROCM_PATH=/opt/rocm 2025-08-26T20:21:53.2285157Z GITHUB_JOB=test 2025-08-26T20:21:53.2285371Z NO_TEST_TIMEOUT=False 2025-08-26T20:21:53.2285626Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-26T20:21:53.2285896Z LC_ALL=C.UTF-8 2025-08-26T20:21:53.2286108Z GITHUB_RETENTION_DAYS=90 2025-08-26T20:21:53.2286346Z OPENSSL_DIR=/opt/openssl 2025-08-26T20:21:53.2286594Z GITHUB_ACTION_REPOSITORY= 2025-08-26T20:21:53.2287450Z PATH=/opt/cache/bin:/opt/rocm/llvm/bin:/opt/rocm/opencl/bin:/opt/rocm/hip/bin:/opt/rocm/hcc/bin:/opt/rocm/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T20:21:53.2288313Z GITHUB_BASE_REF= 2025-08-26T20:21:53.2288506Z CI=true 2025-08-26T20:21:53.2288719Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-26T20:21:53.2288975Z JOB_ID=48946809453 2025-08-26T20:21:53.2289226Z GITHUB_HEAD_REF= 2025-08-26T20:21:53.2289436Z GITHUB_ACTION_REF= 2025-08-26T20:21:53.2289643Z TEST_SHOWLOCALS=False 2025-08-26T20:21:53.2289868Z GITHUB_WORKFLOW=rocm 2025-08-26T20:21:53.2290105Z DEBIAN_FRONTEND=noninteractive 2025-08-26T20:21:53.2290676Z GITHUB_OUTPUT=/home/pytorchci/actions-runner/_work/_temp/_runner_file_commands/set_output_06885e11-ead8-4809-9e10-3ee750ab533e 2025-08-26T20:21:53.2291252Z NO_TD=False 2025-08-26T20:21:53.2291459Z OLDPWD=/var/lib/jenkins 2025-08-26T20:21:53.2291688Z _=/usr/bin/env 2025-08-26T20:21:53.2292000Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-26T20:21:53.2459489Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-08-26T20:21:53.2460526Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-08-26T20:21:53.2461528Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-08-26T20:21:53.2462371Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-08-26T20:21:53.2463021Z + BUILD_DIR=build 2025-08-26T20:21:53.2463390Z + BUILD_RENAMED_DIR=build_renamed 2025-08-26T20:21:53.2463827Z + BUILD_BIN_DIR=build/bin 2025-08-26T20:21:53.2464201Z + SHARD_NUMBER=1 2025-08-26T20:21:53.2464530Z + NUM_TEST_SHARDS=6 2025-08-26T20:21:53.2464911Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-26T20:21:53.2465377Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-26T20:21:53.2465776Z + export VALGRIND=ON 2025-08-26T20:21:53.2466127Z + VALGRIND=ON 2025-08-26T20:21:53.2467163Z + [[ linux-jammy-rocm-py3.10 == *clang9* ]] 2025-08-26T20:21:53.2467689Z + [[ linux-jammy-rocm-py3.10 == *xpu* ]] 2025-08-26T20:21:53.2468189Z + detect_cuda_arch 2025-08-26T20:21:53.2468532Z + [[ linux-jammy-rocm-py3.10 == *cuda* ]] 2025-08-26T20:21:53.2468983Z + [[ linux-jammy-rocm-py3.10 == *s390x* ]] 2025-08-26T20:21:53.2469363Z + [[ 0 == \1 ]] 2025-08-26T20:21:53.2469640Z + [[ True == \1 ]] 2025-08-26T20:21:53.2469957Z + [[ linux-jammy-rocm-py3.10 != *bazel* ]] 2025-08-26T20:21:53.2470378Z ++ realpath build/custom_test_artifacts 2025-08-26T20:21:53.2478057Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/pytorch/build/custom_test_artifacts 2025-08-26T20:21:53.2478752Z + [[ -n '' ]] 2025-08-26T20:21:53.2479083Z + echo 'Environment variables' 2025-08-26T20:21:53.2479464Z Environment variables 2025-08-26T20:21:53.2479787Z + env 2025-08-26T20:21:53.2489416Z GITHUB_WORKSPACE=/home/pytorchci/actions-runner/_work/pytorch/pytorch 2025-08-26T20:21:53.2490301Z CONTINUE_THROUGH_ERROR=True 2025-08-26T20:21:53.2490982Z BUILD_ENVIRONMENT=linux-jammy-rocm-py3.10 2025-08-26T20:21:53.2491626Z HOSTNAME=pytorch-rocm-hw-03 2025-08-26T20:21:53.2492698Z GITHUB_PATH=/home/pytorchci/actions-runner/_work/_temp/_runner_file_commands/add_path_06885e11-ead8-4809-9e10-3ee750ab533e 2025-08-26T20:21:53.2494317Z GITHUB_ACTION=__self 2025-08-26T20:21:53.2494795Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-26T20:21:53.2495309Z GITHUB_RUN_NUMBER=29670 2025-08-26T20:21:53.2495794Z TEST_CONFIG=default 2025-08-26T20:21:53.2496254Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-26T20:21:53.2496790Z AWS_DEFAULT_REGION=us-east-1 2025-08-26T20:21:53.2497324Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-26T20:21:53.2497865Z GITHUB_REF_TYPE=branch 2025-08-26T20:21:53.2498498Z *** 2025-08-26T20:21:53.2498896Z GITHUB_REPOSITORY_ID=65600975 2025-08-26T20:21:53.2499395Z GITHUB_ACTIONS=true 2025-08-26T20:21:53.2499866Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:21:53.2500511Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:21:53.2501369Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/rocm.yml@refs/heads/main 2025-08-26T20:21:53.2502155Z UCC_HOME=/usr 2025-08-26T20:21:53.2502578Z TORCH_SERIALIZATION_DEBUG=1 2025-08-26T20:21:53.2503063Z VERBOSE_TEST_LOGS=False 2025-08-26T20:21:53.2503526Z GITHUB_REF=refs/heads/main 2025-08-26T20:21:53.2503977Z SHARD_NUMBER=1 2025-08-26T20:21:53.2504383Z GITHUB_REF_PROTECTED=true 2025-08-26T20:21:53.2504837Z HOME=/var/lib/jenkins 2025-08-26T20:21:53.2505329Z GITHUB_API_URL=https://api.github.com 2025-08-26T20:21:53.2505914Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-26T20:21:53.2506395Z LANG=C.UTF-8 2025-08-26T20:21:53.2506872Z UCX_COMMIT=cc312eaa4655c0cc5c2bcd796db938f90563bcf6 2025-08-26T20:21:53.2507503Z PYTORCH_TEST_WITH_ROCM=1 2025-08-26T20:21:53.2507917Z NUM_TEST_SHARDS=6 2025-08-26T20:21:53.2508418Z UCX_HOME=/usr 2025-08-26T20:21:53.2509362Z GITHUB_STATE=/home/pytorchci/actions-runner/_work/_temp/_runner_file_commands/save_state_06885e11-ead8-4809-9e10-3ee750ab533e 2025-08-26T20:21:53.2510624Z JOB_NAME=linux-jammy-rocm-py3.10 / test (default, 1, 6, linux.rocm.gpu.2) 2025-08-26T20:21:53.2511346Z MAGMA_HOME=/opt/rocm/magma 2025-08-26T20:21:53.2512281Z GITHUB_ENV=/home/pytorchci/actions-runner/_work/_temp/_runner_file_commands/set_env_06885e11-ead8-4809-9e10-3ee750ab533e 2025-08-26T20:21:53.2513616Z GITHUB_EVENT_PATH=/home/pytorchci/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-26T20:21:53.2514420Z GITHUB_EVENT_NAME=push 2025-08-26T20:21:53.2514818Z DASHBOARD_TAG= 2025-08-26T20:21:53.2515195Z GITHUB_RUN_ID=17248463650 2025-08-26T20:21:53.2516234Z GITHUB_STEP_SUMMARY=/home/pytorchci/actions-runner/_work/_temp/_runner_file_commands/step_summary_06885e11-ead8-4809-9e10-3ee750ab533e 2025-08-26T20:21:53.2517331Z GITHUB_ACTOR=pytorchmergebot 2025-08-26T20:21:53.2517787Z PR_NUMBER= 2025-08-26T20:21:53.2518131Z GITHUB_RUN_ATTEMPT=1 2025-08-26T20:21:53.2518514Z VALGRIND=ON 2025-08-26T20:21:53.2518880Z ANACONDA_PYTHON_VERSION=3.10 2025-08-26T20:21:53.2519815Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-26T20:21:53.2520403Z TERM=vt100 2025-08-26T20:21:53.2520752Z INSTALLED_VISION=yes 2025-08-26T20:21:53.2521138Z BRANCH=main 2025-08-26T20:21:53.2521498Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-26T20:21:53.2521939Z TESTS_TO_INCLUDE= 2025-08-26T20:21:53.2522787Z GITHUB_ACTION_PATH=/home/pytorchci/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-rocm 2025-08-26T20:21:53.2523739Z GITHUB_SERVER_URL=https://github.com 2025-08-26T20:21:53.2524268Z PYTORCH_ROCM_ARCH=gfx90a;gfx942 2025-08-26T20:21:53.2524800Z UCC_COMMIT=0c0fc21559835044ab107199e334f7157d6a0d3d 2025-08-26T20:21:53.2525351Z REENABLED_ISSUES= 2025-08-26T20:21:53.2525716Z SHLVL=1 2025-08-26T20:21:53.2526044Z MAX_JOBS=62 2025-08-26T20:21:53.2526409Z GITHUB_ACTOR_ID=97764156 2025-08-26T20:21:53.2527020Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T20:21:53.2527674Z GITHUB_REF_NAME=main 2025-08-26T20:21:53.2528093Z ROCM_PATH=/opt/rocm 2025-08-26T20:21:53.2528503Z GITHUB_JOB=test 2025-08-26T20:21:53.2528914Z NO_TEST_TIMEOUT=False 2025-08-26T20:21:53.2529378Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-26T20:21:53.2529871Z LC_ALL=C.UTF-8 2025-08-26T20:21:53.2530273Z GITHUB_RETENTION_DAYS=90 2025-08-26T20:21:53.2530723Z OPENSSL_DIR=/opt/openssl 2025-08-26T20:21:53.2531491Z GITHUB_ACTION_REPOSITORY= 2025-08-26T20:21:53.2533133Z PATH=/opt/cache/bin:/opt/rocm/llvm/bin:/opt/rocm/opencl/bin:/opt/rocm/hip/bin:/opt/rocm/hcc/bin:/opt/rocm/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T20:21:53.2534778Z GITHUB_BASE_REF= 2025-08-26T20:21:53.2535160Z CI=true 2025-08-26T20:21:53.2535541Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-26T20:21:53.2536014Z JOB_ID=48946809453 2025-08-26T20:21:53.2536414Z GITHUB_HEAD_REF= 2025-08-26T20:21:53.2536806Z GITHUB_ACTION_REF= 2025-08-26T20:21:53.2537214Z TEST_SHOWLOCALS=False 2025-08-26T20:21:53.2537643Z GITHUB_WORKFLOW=rocm 2025-08-26T20:21:53.2538095Z DEBIAN_FRONTEND=noninteractive 2025-08-26T20:21:53.2539209Z GITHUB_OUTPUT=/home/pytorchci/actions-runner/_work/_temp/_runner_file_commands/set_output_06885e11-ead8-4809-9e10-3ee750ab533e 2025-08-26T20:21:53.2540302Z NO_TD=False 2025-08-26T20:21:53.2540678Z OLDPWD=/var/lib/jenkins 2025-08-26T20:21:53.2541089Z _=/usr/bin/env 2025-08-26T20:21:53.2541489Z + echo 'Testing pytorch' 2025-08-26T20:21:53.2541928Z Testing pytorch 2025-08-26T20:21:53.2542327Z + export LANG=C.UTF-8 2025-08-26T20:21:53.2542727Z + LANG=C.UTF-8 2025-08-26T20:21:53.2543100Z + PR_NUMBER= 2025-08-26T20:21:53.2543494Z + [[ default == \d\e\f\a\u\l\t ]] 2025-08-26T20:21:53.2543996Z + export CUDA_VISIBLE_DEVICES=0 2025-08-26T20:21:53.2544472Z + CUDA_VISIBLE_DEVICES=0 2025-08-26T20:21:53.2544930Z + export HIP_VISIBLE_DEVICES=0 2025-08-26T20:21:53.2545406Z + HIP_VISIBLE_DEVICES=0 2025-08-26T20:21:53.2545851Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-26T20:21:53.2546379Z + [[ default == \s\l\o\w ]] 2025-08-26T20:21:53.2546941Z + [[ linux-jammy-rocm-py3.10 == *slow-gradcheck* ]] 2025-08-26T20:21:53.2547578Z + [[ linux-jammy-rocm-py3.10 == *cuda* ]] 2025-08-26T20:21:53.2548290Z + [[ linux-jammy-rocm-py3.10 == *rocm* ]] 2025-08-26T20:21:53.2548873Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-08-26T20:21:53.2549471Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-08-26T20:21:53.2550022Z + [[ default == *crossref* ]] 2025-08-26T20:21:53.2550522Z + [[ linux-jammy-rocm-py3.10 == *rocm* ]] 2025-08-26T20:21:53.2551041Z + export VALGRIND=OFF 2025-08-26T20:21:53.2551456Z + VALGRIND=OFF 2025-08-26T20:21:53.2551816Z + rocminfo 2025-08-26T20:21:53.2634197Z ROCk module version 6.8.5 is loaded 2025-08-26T20:21:53.3872094Z ===================== 2025-08-26T20:21:53.3872801Z HSA System Attributes 2025-08-26T20:21:53.3873306Z ===================== 2025-08-26T20:21:53.3873801Z Runtime Version: 1.15 2025-08-26T20:21:53.3874376Z Runtime Ext Version: 1.7 2025-08-26T20:21:53.3874900Z System Timestamp Freq.: 1000.000000MHz 2025-08-26T20:21:53.3876240Z Sig. Max Wait Duration: 18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count) 2025-08-26T20:21:53.3877366Z Machine Model: LARGE 2025-08-26T20:21:53.3878111Z System Endianness: LITTLE 2025-08-26T20:21:53.3878753Z Mwaitx: DISABLED 2025-08-26T20:21:53.3879235Z XNACK enabled: NO 2025-08-26T20:21:53.3879704Z DMAbuf Support: YES 2025-08-26T20:21:53.3880142Z VMM Support: YES 2025-08-26T20:21:53.3880414Z 2025-08-26T20:21:53.3880579Z ========== 2025-08-26T20:21:53.3880989Z HSA Agents 2025-08-26T20:21:53.3881387Z ========== 2025-08-26T20:21:53.3881763Z ******* 2025-08-26T20:21:53.3882150Z Agent 1 2025-08-26T20:21:53.3882525Z ******* 2025-08-26T20:21:53.3883007Z Name: AMD EPYC 7513 32-Core Processor 2025-08-26T20:21:53.3883657Z Uuid: CPU-XX 2025-08-26T20:21:53.3884330Z Marketing Name: AMD EPYC 7513 32-Core Processor 2025-08-26T20:21:53.3885054Z Vendor Name: CPU 2025-08-26T20:21:53.3885711Z Feature: None specified 2025-08-26T20:21:53.3886693Z Profile: FULL_PROFILE 2025-08-26T20:21:53.3887378Z Float Round Mode: NEAR 2025-08-26T20:21:53.3888058Z Max Queue Number: 0(0x0) 2025-08-26T20:21:53.3888721Z Queue Min Size: 0(0x0) 2025-08-26T20:21:53.3889370Z Queue Max Size: 0(0x0) 2025-08-26T20:21:53.3890051Z Queue Type: MULTI 2025-08-26T20:21:53.3890675Z Node: 0 2025-08-26T20:21:53.3891296Z Device Type: CPU 2025-08-26T20:21:53.3891903Z Cache Info: 2025-08-26T20:21:53.3892420Z L1: 32768(0x8000) KB 2025-08-26T20:21:53.3893050Z Chip ID: 0(0x0) 2025-08-26T20:21:53.3893693Z ASIC Revision: 0(0x0) 2025-08-26T20:21:53.3894383Z Cacheline Size: 64(0x40) 2025-08-26T20:21:53.3895072Z Max Clock Freq. (MHz): 2600 2025-08-26T20:21:53.3895712Z BDFID: 0 2025-08-26T20:21:53.3896351Z Internal Node ID: 0 2025-08-26T20:21:53.3897019Z Compute Unit: 32 2025-08-26T20:21:53.3897668Z SIMDs per CU: 0 2025-08-26T20:21:53.3898325Z Shader Engines: 0 2025-08-26T20:21:53.3899013Z Shader Arrs. per Eng.: 0 2025-08-26T20:21:53.3899706Z WatchPts on Addr. Ranges:1 2025-08-26T20:21:53.3900363Z Memory Properties: 2025-08-26T20:21:53.3900835Z Features: None 2025-08-26T20:21:53.3901310Z Pool Info: 2025-08-26T20:21:53.3901753Z Pool 1 2025-08-26T20:21:53.3902334Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-26T20:21:53.3903005Z Size: 65790692(0x3ebe2e4) KB 2025-08-26T20:21:53.3903669Z Allocatable: TRUE 2025-08-26T20:21:53.3904355Z Alloc Granule: 4KB 2025-08-26T20:21:53.3905077Z Alloc Recommended Granule:4KB 2025-08-26T20:21:53.3905808Z Alloc Alignment: 4KB 2025-08-26T20:21:53.3906795Z Accessible by all: TRUE 2025-08-26T20:21:53.3907412Z Pool 2 2025-08-26T20:21:53.3907977Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-26T20:21:53.3908782Z Size: 65790692(0x3ebe2e4) KB 2025-08-26T20:21:53.3909436Z Allocatable: TRUE 2025-08-26T20:21:53.3910108Z Alloc Granule: 4KB 2025-08-26T20:21:53.3910816Z Alloc Recommended Granule:4KB 2025-08-26T20:21:53.3911535Z Alloc Alignment: 4KB 2025-08-26T20:21:53.3912229Z Accessible by all: TRUE 2025-08-26T20:21:53.3912821Z Pool 3 2025-08-26T20:21:53.3913381Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-26T20:21:53.3914049Z Size: 65790692(0x3ebe2e4) KB 2025-08-26T20:21:53.3914716Z Allocatable: TRUE 2025-08-26T20:21:53.3915416Z Alloc Granule: 4KB 2025-08-26T20:21:53.3916135Z Alloc Recommended Granule:4KB 2025-08-26T20:21:53.3917239Z Alloc Alignment: 4KB 2025-08-26T20:21:53.3917942Z Accessible by all: TRUE 2025-08-26T20:21:53.3918552Z Pool 4 2025-08-26T20:21:53.3919107Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-26T20:21:53.3919762Z Size: 65790692(0x3ebe2e4) KB 2025-08-26T20:21:53.3920424Z Allocatable: TRUE 2025-08-26T20:21:53.3921111Z Alloc Granule: 4KB 2025-08-26T20:21:53.3921826Z Alloc Recommended Granule:4KB 2025-08-26T20:21:53.3922539Z Alloc Alignment: 4KB 2025-08-26T20:21:53.3923247Z Accessible by all: TRUE 2025-08-26T20:21:53.3923862Z ISA Info: 2025-08-26T20:21:53.3924311Z ******* 2025-08-26T20:21:53.3924756Z Agent 2 2025-08-26T20:21:53.3925333Z ******* 2025-08-26T20:21:53.3925835Z Name: AMD EPYC 7513 32-Core Processor 2025-08-26T20:21:53.3926476Z Uuid: CPU-XX 2025-08-26T20:21:53.3927152Z Marketing Name: AMD EPYC 7513 32-Core Processor 2025-08-26T20:21:53.3927848Z Vendor Name: CPU 2025-08-26T20:21:53.3928512Z Feature: None specified 2025-08-26T20:21:53.3929173Z Profile: FULL_PROFILE 2025-08-26T20:21:53.3929852Z Float Round Mode: NEAR 2025-08-26T20:21:53.3930539Z Max Queue Number: 0(0x0) 2025-08-26T20:21:53.3931209Z Queue Min Size: 0(0x0) 2025-08-26T20:21:53.3931869Z Queue Max Size: 0(0x0) 2025-08-26T20:21:53.3932533Z Queue Type: MULTI 2025-08-26T20:21:53.3933152Z Node: 1 2025-08-26T20:21:53.3933777Z Device Type: CPU 2025-08-26T20:21:53.3934370Z Cache Info: 2025-08-26T20:21:53.3934851Z L1: 32768(0x8000) KB 2025-08-26T20:21:53.3935443Z Chip ID: 0(0x0) 2025-08-26T20:21:53.3936078Z ASIC Revision: 0(0x0) 2025-08-26T20:21:53.3936746Z Cacheline Size: 64(0x40) 2025-08-26T20:21:53.3937731Z Max Clock Freq. (MHz): 2600 2025-08-26T20:21:53.3938379Z BDFID: 0 2025-08-26T20:21:53.3939020Z Internal Node ID: 1 2025-08-26T20:21:53.3939680Z Compute Unit: 32 2025-08-26T20:21:53.3940332Z SIMDs per CU: 0 2025-08-26T20:21:53.3940981Z Shader Engines: 0 2025-08-26T20:21:53.3941655Z Shader Arrs. per Eng.: 0 2025-08-26T20:21:53.3942351Z WatchPts on Addr. Ranges:1 2025-08-26T20:21:53.3942959Z Memory Properties: 2025-08-26T20:21:53.3943407Z Features: None 2025-08-26T20:21:53.3943868Z Pool Info: 2025-08-26T20:21:53.3944304Z Pool 1 2025-08-26T20:21:53.3944865Z Segment: GLOBAL; FLAGS: FINE GRAINED 2025-08-26T20:21:53.3945529Z Size: 66046464(0x3efca00) KB 2025-08-26T20:21:53.3946184Z Allocatable: TRUE 2025-08-26T20:21:53.3946868Z Alloc Granule: 4KB 2025-08-26T20:21:53.3947854Z Alloc Recommended Granule:4KB 2025-08-26T20:21:53.3948675Z Alloc Alignment: 4KB 2025-08-26T20:21:53.3949365Z Accessible by all: TRUE 2025-08-26T20:21:53.3949959Z Pool 2 2025-08-26T20:21:53.3950498Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-26T20:21:53.3951145Z Size: 66046464(0x3efca00) KB 2025-08-26T20:21:53.3951774Z Allocatable: TRUE 2025-08-26T20:21:53.3952458Z Alloc Granule: 4KB 2025-08-26T20:21:53.3953166Z Alloc Recommended Granule:4KB 2025-08-26T20:21:53.3953878Z Alloc Alignment: 4KB 2025-08-26T20:21:53.3954578Z Accessible by all: TRUE 2025-08-26T20:21:53.3955201Z Pool 3 2025-08-26T20:21:53.3955735Z Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED 2025-08-26T20:21:53.3956386Z Size: 66046464(0x3efca00) KB 2025-08-26T20:21:53.3957031Z Allocatable: TRUE 2025-08-26T20:21:53.3957714Z Alloc Granule: 4KB 2025-08-26T20:21:53.3958423Z Alloc Recommended Granule:4KB 2025-08-26T20:21:53.3959136Z Alloc Alignment: 4KB 2025-08-26T20:21:53.3959831Z Accessible by all: TRUE 2025-08-26T20:21:53.3960437Z Pool 4 2025-08-26T20:21:53.3960967Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-26T20:21:53.3961609Z Size: 66046464(0x3efca00) KB 2025-08-26T20:21:53.3962257Z Allocatable: TRUE 2025-08-26T20:21:53.3962932Z Alloc Granule: 4KB 2025-08-26T20:21:53.3963639Z Alloc Recommended Granule:4KB 2025-08-26T20:21:53.3964357Z Alloc Alignment: 4KB 2025-08-26T20:21:53.3965045Z Accessible by all: TRUE 2025-08-26T20:21:53.3965641Z ISA Info: 2025-08-26T20:21:53.3966065Z ******* 2025-08-26T20:21:53.3966477Z Agent 3 2025-08-26T20:21:53.3966885Z ******* 2025-08-26T20:21:53.3967662Z Name: gfx90a 2025-08-26T20:21:53.3968276Z Uuid: GPU-6878e95c30574a36 2025-08-26T20:21:53.3968932Z Marketing Name: AMD Instinct MI210 2025-08-26T20:21:53.3969613Z Vendor Name: AMD 2025-08-26T20:21:53.3970284Z Feature: KERNEL_DISPATCH 2025-08-26T20:21:53.3970940Z Profile: BASE_PROFILE 2025-08-26T20:21:53.3971618Z Float Round Mode: NEAR 2025-08-26T20:21:53.3972291Z Max Queue Number: 128(0x80) 2025-08-26T20:21:53.3972954Z Queue Min Size: 64(0x40) 2025-08-26T20:21:53.3973612Z Queue Max Size: 131072(0x20000) 2025-08-26T20:21:53.3974264Z Queue Type: MULTI 2025-08-26T20:21:53.3974892Z Node: 2 2025-08-26T20:21:53.3975519Z Device Type: GPU 2025-08-26T20:21:53.3976107Z Cache Info: 2025-08-26T20:21:53.3976588Z L1: 16(0x10) KB 2025-08-26T20:21:53.3977473Z L2: 8192(0x2000) KB 2025-08-26T20:21:53.3978057Z Chip ID: 29711(0x740f) 2025-08-26T20:21:53.3978694Z ASIC Revision: 1(0x1) 2025-08-26T20:21:53.3979375Z Cacheline Size: 64(0x40) 2025-08-26T20:21:53.3980056Z Max Clock Freq. (MHz): 1700 2025-08-26T20:21:53.3980694Z BDFID: 768 2025-08-26T20:21:53.3981338Z Internal Node ID: 2 2025-08-26T20:21:53.3982008Z Compute Unit: 104 2025-08-26T20:21:53.3982669Z SIMDs per CU: 4 2025-08-26T20:21:53.3983341Z Shader Engines: 8 2025-08-26T20:21:53.3984028Z Shader Arrs. per Eng.: 1 2025-08-26T20:21:53.3984736Z WatchPts on Addr. Ranges:4 2025-08-26T20:21:53.3985474Z Coherent Host Access: FALSE 2025-08-26T20:21:53.3986087Z Memory Properties: 2025-08-26T20:21:53.3986596Z Features: KERNEL_DISPATCH 2025-08-26T20:21:53.3987234Z Fast F16 Operation: TRUE 2025-08-26T20:21:53.3987931Z Wavefront Size: 64(0x40) 2025-08-26T20:21:53.3988734Z Workgroup Max Size: 1024(0x400) 2025-08-26T20:21:53.3989379Z Workgroup Max Size per Dimension: 2025-08-26T20:21:53.3989912Z x 1024(0x400) 2025-08-26T20:21:53.3990476Z y 1024(0x400) 2025-08-26T20:21:53.3991023Z z 1024(0x400) 2025-08-26T20:21:53.3991630Z Max Waves Per CU: 32(0x20) 2025-08-26T20:21:53.3992310Z Max Work-item Per CU: 2048(0x800) 2025-08-26T20:21:53.3993002Z Grid Max Size: 4294967295(0xffffffff) 2025-08-26T20:21:53.3993610Z Grid Max Size per Dimension: 2025-08-26T20:21:53.3994094Z x 4294967295(0xffffffff) 2025-08-26T20:21:53.3994662Z y 4294967295(0xffffffff) 2025-08-26T20:21:53.3995227Z z 4294967295(0xffffffff) 2025-08-26T20:21:53.3995871Z Max fbarriers/Workgrp: 32 2025-08-26T20:21:53.3996663Z Packet Processor uCode:: 83 2025-08-26T20:21:53.3997689Z SDMA engine uCode:: 8 2025-08-26T20:21:53.3998389Z IOMMU Support:: None 2025-08-26T20:21:53.3998984Z Pool Info: 2025-08-26T20:21:53.3999428Z Pool 1 2025-08-26T20:21:53.3999980Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-26T20:21:53.4000663Z Size: 67092480(0x3ffc000) KB 2025-08-26T20:21:53.4001321Z Allocatable: TRUE 2025-08-26T20:21:53.4002007Z Alloc Granule: 4KB 2025-08-26T20:21:53.4002728Z Alloc Recommended Granule:2048KB 2025-08-26T20:21:53.4003446Z Alloc Alignment: 4KB 2025-08-26T20:21:53.4004152Z Accessible by all: FALSE 2025-08-26T20:21:53.4004760Z Pool 2 2025-08-26T20:21:53.4005332Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-26T20:21:53.4006000Z Size: 67092480(0x3ffc000) KB 2025-08-26T20:21:53.4006654Z Allocatable: TRUE 2025-08-26T20:21:53.4007347Z Alloc Granule: 4KB 2025-08-26T20:21:53.4008374Z Alloc Recommended Granule:2048KB 2025-08-26T20:21:53.4009103Z Alloc Alignment: 4KB 2025-08-26T20:21:53.4009814Z Accessible by all: FALSE 2025-08-26T20:21:53.4010418Z Pool 3 2025-08-26T20:21:53.4010935Z Segment: GROUP 2025-08-26T20:21:53.4011555Z Size: 64(0x40) KB 2025-08-26T20:21:53.4012193Z Allocatable: FALSE 2025-08-26T20:21:53.4012885Z Alloc Granule: 0KB 2025-08-26T20:21:53.4013612Z Alloc Recommended Granule:0KB 2025-08-26T20:21:53.4014328Z Alloc Alignment: 0KB 2025-08-26T20:21:53.4015022Z Accessible by all: FALSE 2025-08-26T20:21:53.4015633Z ISA Info: 2025-08-26T20:21:53.4016060Z ISA 1 2025-08-26T20:21:53.4016624Z Name: amdgcn-amd-amdhsa--gfx90a:sramecc+:xnack- 2025-08-26T20:21:53.4017363Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-26T20:21:53.4018078Z Profiles: HSA_PROFILE_BASE 2025-08-26T20:21:53.4018786Z Default Rounding Mode: NEAR 2025-08-26T20:21:53.4019521Z Default Rounding Mode: NEAR 2025-08-26T20:21:53.4020190Z Fast f16: TRUE 2025-08-26T20:21:53.4020888Z Workgroup Max Size: 1024(0x400) 2025-08-26T20:21:53.4021543Z Workgroup Max Size per Dimension: 2025-08-26T20:21:53.4022117Z x 1024(0x400) 2025-08-26T20:21:53.4022701Z y 1024(0x400) 2025-08-26T20:21:53.4023252Z z 1024(0x400) 2025-08-26T20:21:53.4023865Z Grid Max Size: 4294967295(0xffffffff) 2025-08-26T20:21:53.4024485Z Grid Max Size per Dimension: 2025-08-26T20:21:53.4024994Z x 4294967295(0xffffffff) 2025-08-26T20:21:53.4025630Z y 4294967295(0xffffffff) 2025-08-26T20:21:53.4026201Z z 4294967295(0xffffffff) 2025-08-26T20:21:53.4026832Z FBarrier Max Size: 32 2025-08-26T20:21:53.4027705Z ******* 2025-08-26T20:21:53.4028271Z Agent 4 2025-08-26T20:21:53.4028680Z ******* 2025-08-26T20:21:53.4029137Z Name: gfx90a 2025-08-26T20:21:53.4029767Z Uuid: GPU-7dfcc6cae49810bc 2025-08-26T20:21:53.4030463Z Marketing Name: AMD Instinct MI210 2025-08-26T20:21:53.4031156Z Vendor Name: AMD 2025-08-26T20:21:53.4031814Z Feature: KERNEL_DISPATCH 2025-08-26T20:21:53.4032474Z Profile: BASE_PROFILE 2025-08-26T20:21:53.4033142Z Float Round Mode: NEAR 2025-08-26T20:21:53.4033826Z Max Queue Number: 128(0x80) 2025-08-26T20:21:53.4034494Z Queue Min Size: 64(0x40) 2025-08-26T20:21:53.4035157Z Queue Max Size: 131072(0x20000) 2025-08-26T20:21:53.4035809Z Queue Type: MULTI 2025-08-26T20:21:53.4036429Z Node: 3 2025-08-26T20:21:53.4037053Z Device Type: GPU 2025-08-26T20:21:53.4042609Z Cache Info: 2025-08-26T20:21:53.4043085Z L1: 16(0x10) KB 2025-08-26T20:21:53.4043659Z L2: 8192(0x2000) KB 2025-08-26T20:21:53.4044250Z Chip ID: 29711(0x740f) 2025-08-26T20:21:53.4044884Z ASIC Revision: 1(0x1) 2025-08-26T20:21:53.4045555Z Cacheline Size: 64(0x40) 2025-08-26T20:21:53.4046238Z Max Clock Freq. (MHz): 1700 2025-08-26T20:21:53.4046871Z BDFID: 33536 2025-08-26T20:21:53.4047521Z Internal Node ID: 3 2025-08-26T20:21:53.4048189Z Compute Unit: 104 2025-08-26T20:21:53.4048839Z SIMDs per CU: 4 2025-08-26T20:21:53.4049512Z Shader Engines: 8 2025-08-26T20:21:53.4050199Z Shader Arrs. per Eng.: 1 2025-08-26T20:21:53.4050906Z WatchPts on Addr. Ranges:4 2025-08-26T20:21:53.4051625Z Coherent Host Access: FALSE 2025-08-26T20:21:53.4052243Z Memory Properties: 2025-08-26T20:21:53.4052738Z Features: KERNEL_DISPATCH 2025-08-26T20:21:53.4053366Z Fast F16 Operation: TRUE 2025-08-26T20:21:53.4054058Z Wavefront Size: 64(0x40) 2025-08-26T20:21:53.4054759Z Workgroup Max Size: 1024(0x400) 2025-08-26T20:21:53.4055388Z Workgroup Max Size per Dimension: 2025-08-26T20:21:53.4055915Z x 1024(0x400) 2025-08-26T20:21:53.4056470Z y 1024(0x400) 2025-08-26T20:21:53.4057029Z z 1024(0x400) 2025-08-26T20:21:53.4057636Z Max Waves Per CU: 32(0x20) 2025-08-26T20:21:53.4058315Z Max Work-item Per CU: 2048(0x800) 2025-08-26T20:21:53.4058987Z Grid Max Size: 4294967295(0xffffffff) 2025-08-26T20:21:53.4059590Z Grid Max Size per Dimension: 2025-08-26T20:21:53.4060073Z x 4294967295(0xffffffff) 2025-08-26T20:21:53.4060633Z y 4294967295(0xffffffff) 2025-08-26T20:21:53.4061196Z z 4294967295(0xffffffff) 2025-08-26T20:21:53.4062156Z Max fbarriers/Workgrp: 32 2025-08-26T20:21:53.4062906Z Packet Processor uCode:: 83 2025-08-26T20:21:53.4063616Z SDMA engine uCode:: 8 2025-08-26T20:21:53.4064304Z IOMMU Support:: None 2025-08-26T20:21:53.4064905Z Pool Info: 2025-08-26T20:21:53.4065347Z Pool 1 2025-08-26T20:21:53.4065903Z Segment: GLOBAL; FLAGS: COARSE GRAINED 2025-08-26T20:21:53.4066580Z Size: 67092480(0x3ffc000) KB 2025-08-26T20:21:53.4067244Z Allocatable: TRUE 2025-08-26T20:21:53.4067934Z Alloc Granule: 4KB 2025-08-26T20:21:53.4068756Z Alloc Recommended Granule:2048KB 2025-08-26T20:21:53.4069501Z Alloc Alignment: 4KB 2025-08-26T20:21:53.4070203Z Accessible by all: FALSE 2025-08-26T20:21:53.4070806Z Pool 2 2025-08-26T20:21:53.4071355Z Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED 2025-08-26T20:21:53.4072329Z Size: 67092480(0x3ffc000) KB 2025-08-26T20:21:53.4072970Z Allocatable: TRUE 2025-08-26T20:21:53.4073651Z Alloc Granule: 4KB 2025-08-26T20:21:53.4074366Z Alloc Recommended Granule:2048KB 2025-08-26T20:21:53.4075086Z Alloc Alignment: 4KB 2025-08-26T20:21:53.4075785Z Accessible by all: FALSE 2025-08-26T20:21:53.4076385Z Pool 3 2025-08-26T20:21:53.4076899Z Segment: GROUP 2025-08-26T20:21:53.4077533Z Size: 64(0x40) KB 2025-08-26T20:21:53.4078167Z Allocatable: FALSE 2025-08-26T20:21:53.4078844Z Alloc Granule: 0KB 2025-08-26T20:21:53.4079570Z Alloc Recommended Granule:0KB 2025-08-26T20:21:53.4080291Z Alloc Alignment: 0KB 2025-08-26T20:21:53.4080991Z Accessible by all: FALSE 2025-08-26T20:21:53.4081595Z ISA Info: 2025-08-26T20:21:53.4082029Z ISA 1 2025-08-26T20:21:53.4082593Z Name: amdgcn-amd-amdhsa--gfx90a:sramecc+:xnack- 2025-08-26T20:21:53.4083329Z Machine Models: HSA_MACHINE_MODEL_LARGE 2025-08-26T20:21:53.4084038Z Profiles: HSA_PROFILE_BASE 2025-08-26T20:21:53.4084754Z Default Rounding Mode: NEAR 2025-08-26T20:21:53.4085477Z Default Rounding Mode: NEAR 2025-08-26T20:21:53.4086156Z Fast f16: TRUE 2025-08-26T20:21:53.4086827Z Workgroup Max Size: 1024(0x400) 2025-08-26T20:21:53.4087465Z Workgroup Max Size per Dimension: 2025-08-26T20:21:53.4088020Z x 1024(0x400) 2025-08-26T20:21:53.4088580Z y 1024(0x400) 2025-08-26T20:21:53.4089135Z z 1024(0x400) 2025-08-26T20:21:53.4089749Z Grid Max Size: 4294967295(0xffffffff) 2025-08-26T20:21:53.4090362Z Grid Max Size per Dimension: 2025-08-26T20:21:53.4090879Z x 4294967295(0xffffffff) 2025-08-26T20:21:53.4091758Z y 4294967295(0xffffffff) 2025-08-26T20:21:53.4092332Z z 4294967295(0xffffffff) 2025-08-26T20:21:53.4092965Z FBarrier Max Size: 32 2025-08-26T20:21:53.4093559Z *** Done *** 2025-08-26T20:21:53.4094013Z + rocminfo 2025-08-26T20:21:53.4094413Z + grep -E 'Name:.*\sgfx|Marketing' 2025-08-26T20:21:53.5210092Z Marketing Name: AMD EPYC 7513 32-Core Processor 2025-08-26T20:21:53.5210986Z Marketing Name: AMD EPYC 7513 32-Core Processor 2025-08-26T20:21:53.5211691Z Name: gfx90a 2025-08-26T20:21:53.5212349Z Marketing Name: AMD Instinct MI210 2025-08-26T20:21:53.5212984Z Name: gfx90a 2025-08-26T20:21:53.5213632Z Marketing Name: AMD Instinct MI210 2025-08-26T20:21:53.5409348Z + MAYBE_ROCM=rocm/ 2025-08-26T20:21:53.5409958Z + [[ linux-jammy-rocm-py3.10 == *xpu* ]] 2025-08-26T20:21:53.5410623Z + [[ linux-jammy-rocm-py3.10 != *-bazel-* ]] 2025-08-26T20:21:53.5411241Z + pip_install ninja==1.10.2 2025-08-26T20:21:53.5411896Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-26T20:21:53.5412710Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-26T20:21:53.9171611Z Collecting ninja==1.10.2 2025-08-26T20:21:53.9642102Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-26T20:21:53.9809996Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-26T20:21:54.2873425Z Installing collected packages: ninja 2025-08-26T20:21:54.2874082Z Attempting uninstall: ninja 2025-08-26T20:21:54.2879603Z Found existing installation: ninja 1.11.1.3 2025-08-26T20:21:54.2898647Z Uninstalling ninja-1.11.1.3: 2025-08-26T20:21:54.2997371Z Successfully uninstalled ninja-1.11.1.3 2025-08-26T20:21:54.3277847Z Successfully installed ninja-1.10.2 2025-08-26T20:21:54.3669736Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/rocm/llvm/bin:/opt/rocm/opencl/bin:/opt/rocm/hip/bin:/opt/rocm/hcc/bin:/opt/rocm/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T20:21:54.3673348Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/rocm/llvm/bin:/opt/rocm/opencl/bin:/opt/rocm/hip/bin:/opt/rocm/hcc/bin:/opt/rocm/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-26T20:21:54.3675283Z + [[ linux-jammy-rocm-py3.10 == *aarch64* ]] 2025-08-26T20:21:54.3675903Z + [[ linux-jammy-rocm-py3.10 == *asan* ]] 2025-08-26T20:21:54.3676502Z + [[ linux-jammy-rocm-py3.10 == *-debug* ]] 2025-08-26T20:21:54.3677113Z + [[ linux-jammy-rocm-py3.10 != *-bazel-* ]] 2025-08-26T20:21:54.3677970Z + echo 'We are not in debug mode: linux-jammy-rocm-py3.10. Expect the assertion to pass' 2025-08-26T20:21:54.3679040Z We are not in debug mode: linux-jammy-rocm-py3.10. Expect the assertion to pass 2025-08-26T20:21:54.3679825Z + cd test 2025-08-26T20:21:54.3680418Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-26T20:21:55.7342376Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-26T20:21:55.7343284Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-26T20:21:55.7343964Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-26T20:21:55.7346184Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-26T20:21:55.7346692Z + [[ default == *pr_time_benchmarks* ]] 2025-08-26T20:21:55.7347255Z + [[ default == *dynamo_eager* ]] 2025-08-26T20:21:55.7347760Z + [[ default == *aot_eager* ]] 2025-08-26T20:21:55.7348361Z + [[ default == *aot_inductor* ]] 2025-08-26T20:21:55.7348898Z + [[ default == *max_autotune_inductor* ]] 2025-08-26T20:21:55.7349438Z + [[ default == *inductor* ]] 2025-08-26T20:21:55.7349861Z + [[ default == *dynamic* ]] 2025-08-26T20:21:55.7350108Z + [[ default == *cpu* ]] 2025-08-26T20:21:55.7357284Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-08-26T20:21:55.7361515Z + [[ linux-jammy-rocm-py3.10 == *libtorch* ]] 2025-08-26T20:21:55.7361907Z + [[ linux-jammy-rocm-py3.10 == *-bazel-* ]] 2025-08-26T20:21:55.7364803Z + cd test 2025-08-26T20:21:55.7365158Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-26T20:21:56.9387658Z PyTorch built with: 2025-08-26T20:21:56.9388438Z - GCC 11.4 2025-08-26T20:21:56.9388907Z - C++ Version: 201703 2025-08-26T20:21:56.9389898Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-26T20:21:56.9391171Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-26T20:21:56.9391973Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-26T20:21:56.9392594Z - LAPACK is enabled (usually provided by MKL) 2025-08-26T20:21:56.9393178Z - NNPACK is enabled 2025-08-26T20:21:56.9393645Z - CPU capability usage: AVX2 2025-08-26T20:21:56.9394142Z - HIP Runtime 6.4.43484 2025-08-26T20:21:56.9394635Z - MIOpen 3.4.0 2025-08-26T20:21:56.9413720Z - Magma 2.7.2 2025-08-26T20:21:56.9421428Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=262640fd220236042fbf4443cc163c8838c84c3d, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -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=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, 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=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=ON, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-08-26T20:21:56.9429925Z 2025-08-26T20:21:57.2533453Z + cd test 2025-08-26T20:21:57.2534377Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-26T20:21:58.3020195Z ATen/Parallel: 2025-08-26T20:21:58.3020858Z at::get_num_threads() : 64 2025-08-26T20:21:58.3021425Z at::get_num_interop_threads() : 64 2025-08-26T20:21:58.3021990Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-08-26T20:21:58.3022516Z omp_get_max_threads() : 64 2025-08-26T20:21:58.3023491Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-26T20:21:58.3024519Z mkl_get_max_threads() : 64 2025-08-26T20:21:58.3025188Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-26T20:21:58.3026019Z std::thread::hardware_concurrency() : 64 2025-08-26T20:21:58.3026570Z Environment variables: 2025-08-26T20:21:58.3027017Z OMP_NUM_THREADS : [not set] 2025-08-26T20:21:58.3027482Z MKL_NUM_THREADS : [not set] 2025-08-26T20:21:58.3027959Z ATen parallel backend: OpenMP 2025-08-26T20:21:58.3028589Z 2025-08-26T20:21:58.5325169Z + [[ default == *numpy_2* ]] 2025-08-26T20:21:58.5325470Z + [[ linux-jammy-rocm-py3.10 == *aarch64* ]] 2025-08-26T20:21:58.5325733Z + [[ default == *backward* ]] 2025-08-26T20:21:58.5325945Z + [[ default == *xla* ]] 2025-08-26T20:21:58.5326139Z + [[ default == *vllm* ]] 2025-08-26T20:21:58.5326346Z + [[ default == *executorch* ]] 2025-08-26T20:21:58.5326567Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-26T20:21:58.5326819Z + [[ linux-jammy-rocm-py3.10 == *libtorch* ]] 2025-08-26T20:21:58.5327084Z + [[ default == distributed ]] 2025-08-26T20:21:58.5327298Z + [[ default == *operator_benchmark* ]] 2025-08-26T20:21:58.5327543Z + [[ default == *inductor_distributed* ]] 2025-08-26T20:21:58.5328103Z + [[ default == *inductor-halide* ]] 2025-08-26T20:21:58.5328355Z + [[ default == *inductor-triton-cpu* ]] 2025-08-26T20:21:58.5328609Z + [[ default == *inductor-micro-benchmark* ]] 2025-08-26T20:21:58.5328859Z + [[ default == *huggingface* ]] 2025-08-26T20:21:58.5329073Z + [[ default == *timm* ]] 2025-08-26T20:21:58.5329275Z + [[ default == cachebench ]] 2025-08-26T20:21:58.5329477Z + [[ default == verify_cachebench ]] 2025-08-26T20:21:58.5329713Z + [[ default == *torchbench* ]] 2025-08-26T20:21:58.5329931Z + [[ default == *inductor_cpp_wrapper* ]] 2025-08-26T20:21:58.5330166Z + [[ default == *inductor* ]] 2025-08-26T20:21:58.5330366Z + [[ default == *einops* ]] 2025-08-26T20:21:58.5330569Z + [[ default == *dynamo_wrapped* ]] 2025-08-26T20:21:58.5330793Z + [[ linux-jammy-rocm-py3.10 == *rocm* ]] 2025-08-26T20:21:58.5331014Z + [[ -n '' ]] 2025-08-26T20:21:58.5331176Z + [[ 1 == 1 ]] 2025-08-26T20:21:58.5331338Z + [[ 6 -gt 1 ]] 2025-08-26T20:21:58.5331524Z + test_lazy_tensor_meta_reference_disabled 2025-08-26T20:21:58.5331824Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-08-26T20:21:58.5332135Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-08-26T20:21:58.5332448Z + echo 'Testing lazy tensor operations without meta reference' 2025-08-26T20:21:58.5332767Z Testing lazy tensor operations without meta reference 2025-08-26T20:21:58.5333292Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose 2025-08-26T20:22:01.0758565Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T20:22:01.0761096Z import pkg_resources 2025-08-26T20:22:02.7807302Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/pytorch/test/.pytorch-disabled-tests.json 2025-08-26T20:22:03.1968284Z Ignoring disabled issues: [''] 2025-08-26T20:22:03.2207840Z Found test times from artifacts 2025-08-26T20:22:03.2960643Z Found test times from artifacts 2025-08-26T20:22:03.2971893Z Running all tests 2025-08-26T20:22:03.2973552Z Running parallel tests on 2 processes 2025-08-26T20:22:03.2974209Z Name: tests to run (est. time: 0.01min) 2025-08-26T20:22:03.2974734Z Serial tests (0): 2025-08-26T20:22:03.2975150Z Parallel tests (1): 2025-08-26T20:22:03.2975592Z lazy/test_ts_opinfo 1/1 2025-08-26T20:22:03.2976085Z Name: excluded (est. time: 0.0min) 2025-08-26T20:22:03.2976589Z Serial tests (0): 2025-08-26T20:22:03.2976995Z Parallel tests (0): 2025-08-26T20:22:03.2977635Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-26 20:22:03.297358] 2025-08-26T20:22:03.2978328Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:22:03.2980175Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.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 20:22:03.297616] 2025-08-26T20:22:08.0901820Z 2025-08-26T20:22:08.0902913Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_277b3225852c19dc_.log 2025-08-26T20:22:08.0904065Z Running 0 items in this shard: 2025-08-26T20:22:08.0904355Z 2025-08-26T20:22:08.0904746Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading 2025-08-26T20:22:08.0905576Z Uploading artifacts took 0.00 seconds 2025-08-26T20:22:10.5985658Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T20:22:10.5988340Z import pkg_resources 2025-08-26T20:22:10.7439461Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T20:22:10.7442030Z import pkg_resources 2025-08-26T20:22:11.0281609Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-26 20:22:11.027638] 2025-08-26T20:22:11.0283170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:22:11.0285040Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.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 20:22:11.027982] 2025-08-26T20:22:15.8640541Z 2025-08-26T20:22:15.8641394Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_57d1f46eb3da16c0_.log 2025-08-26T20:22:15.8642969Z Running 5 items in this shard: test/lazy/test_ts_opinfo.py::TestLazyTensor::testConvolutionBackward, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_tensor_ctr, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_view_mark_step_preserved, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_adaptiveavgpool3d_dynamic, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_nonzero_dynamic 2025-08-26T20:22:15.8644819Z 2025-08-26T20:22:16.7286561Z Running test batch 'tests to run' cost 13.43 seconds 2025-08-26T20:22:17.5117464Z 2025-08-26T20:22:17.5117704Z real 0m18.979s 2025-08-26T20:22:17.5117960Z user 0m27.416s 2025-08-26T20:22:17.5118179Z sys 0m34.757s 2025-08-26T20:22:17.5118474Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE 2025-08-26T20:22:17.5118832Z + test_without_numpy 2025-08-26T20:22:17.5123409Z ++ dirname .ci/pytorch/test.sh 2025-08-26T20:22:17.5135508Z + pushd .ci/pytorch 2025-08-26T20:22:17.5136105Z ~/pytorch/.ci/pytorch ~/pytorch 2025-08-26T20:22:17.5137556Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');from unittest import TestCase;import torch;x=torch.randn(3,3);TestCase().assertRaises(RuntimeError, lambda: x.numpy())' 2025-08-26T20:22:18.1799220Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:279: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-08-26T20:22:18.1801762Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-08-26T20:22:18.8261724Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2025-08-26T20:22:19.4778183Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:279: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-08-26T20:22:19.4780605Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-08-26T20:22:19.8367702Z tensor([0., 1.]) 2025-08-26T20:22:20.0412936Z + [[ default == *dynamo_wrapped* ]] 2025-08-26T20:22:20.0413958Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx' 2025-08-26T20:22:20.6926161Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:279: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-08-26T20:22:20.6928595Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-08-26T20:22:21.2710250Z + popd 2025-08-26T20:22:21.2710716Z ~/pytorch 2025-08-26T20:22:21.2711119Z + install_torchvision 2025-08-26T20:22:21.2711591Z + local orig_preload 2025-08-26T20:22:21.2712711Z + local commit 2025-08-26T20:22:21.2717794Z ++ get_pinned_commit vision 2025-08-26T20:22:21.2718290Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-26T20:22:21.2751376Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T20:22:21.2751972Z + orig_preload= 2025-08-26T20:22:21.2752367Z + '[' -n '' ']' 2025-08-26T20:22:21.2752768Z + [[ linux-jammy-rocm-py3.10 == *cuda* ]] 2025-08-26T20:22:21.2753759Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-26T20:22:21.2755069Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T20:22:21.2756014Z + local wheel_dir=dist/vision 2025-08-26T20:22:21.2756500Z + local found_whl=0 2025-08-26T20:22:21.2756942Z + for file in "${wheel_dir}"/*.whl 2025-08-26T20:22:21.2757453Z + [[ -f dist/vision/*.whl ]] 2025-08-26T20:22:21.2757911Z + '[' 0 == 0 ']' 2025-08-26T20:22:21.2759181Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/vision git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T20:22:21.5759808Z Collecting git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T20:22:21.5768192Z Cloning https://github.com/pytorch/vision.git (to revision 966da7e46f65d6d49df3e31214470a4fe5cc8e66) to /tmp/pip-req-build-pkao0260 2025-08-26T20:22:21.5798026Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-pkao0260 2025-08-26T20:22:32.1413772Z Running command git rev-parse -q --verify 'sha^966da7e46f65d6d49df3e31214470a4fe5cc8e66' 2025-08-26T20:22:32.1455378Z Running command git fetch -q https://github.com/pytorch/vision.git 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T20:22:32.6193093Z Running command git checkout -q 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T20:22:33.2705549Z Resolved https://github.com/pytorch/vision.git to commit 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-26T20:22:35.5311510Z Preparing metadata (setup.py) ... [?25l- \ | / done 2025-08-26T20:22:35.5353162Z [?25hBuilding wheels for collected packages: torchvision 2025-08-26T20:22:35.5478930Z  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 2025-08-26T20:23:26.3269489Z  Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2025-08-26T20:23:26.3292413Z [?25h Created wheel for torchvision: filename=torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl size=1577656 sha256=fb9e1f6a419af703b8ec6fdcbd04651b135c1e5bc9cc4fbab5f777dc7ce56466 2025-08-26T20:23:26.3294928Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/9c/9d/3e/42fa2d5ac6ba44a90363f8fff0fa9e712e24d4f977637c81cb 2025-08-26T20:23:26.3330877Z Successfully built torchvision 2025-08-26T20:23:26.4271814Z + for file in "${wheel_dir}"/*.whl 2025-08-26T20:23:26.4272784Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-26T20:23:26.4274017Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-08-26T20:23:26.4274827Z + local args 2025-08-26T20:23:26.4281047Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-08-26T20:23:26.4281591Z + for path in "${args[@]}" 2025-08-26T20:23:26.4282050Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-08-26T20:23:26.4285579Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-26T20:23:26.4286339Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-26T20:23:26.7349269Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-08-26T20:23:26.7425322Z Installing collected packages: torchvision 2025-08-26T20:23:27.1055294Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-26T20:23:27.1332827Z + '[' -n '' ']' 2025-08-26T20:23:27.1333342Z + test_python_shard 1 2025-08-26T20:23:27.1333850Z + [[ -z 6 ]] 2025-08-26T20:23:27.1334987Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 1 6 --verbose --upload-artifacts-while-running 2025-08-26T20:23:29.5558153Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T20:23:29.5560701Z import pkg_resources 2025-08-26T20:23:30.0427078Z Excluding test_cuda_nvml_based_avail on ROCm 2025-08-26T20:23:31.0064102Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/pytorch/test/.pytorch-disabled-tests.json 2025-08-26T20:23:31.0161799Z Found test times from artifacts 2025-08-26T20:23:31.0573270Z Found test times from artifacts 2025-08-26T20:23:31.0585318Z Running all tests 2025-08-26T20:23:31.1037677Z Running parallel tests on 2 processes 2025-08-26T20:23:31.1040018Z Name: tests to run (est. time: 178.31min) 2025-08-26T20:23:31.1040570Z Serial tests (59): 2025-08-26T20:23:31.1041149Z inductor/test_flex_attention 1/26 2025-08-26T20:23:31.1041723Z inductor/test_flex_attention 3/26 2025-08-26T20:23:31.1042238Z inductor/test_flex_attention 5/26 2025-08-26T20:23:31.1042741Z inductor/test_flex_attention 7/26 2025-08-26T20:23:31.1043375Z inductor/test_flex_attention 9/26 2025-08-26T20:23:31.1043887Z inductor/test_flex_attention 11/26 2025-08-26T20:23:31.1044416Z inductor/test_flex_attention 13/26 2025-08-26T20:23:31.1044929Z inductor/test_flex_attention 15/26 2025-08-26T20:23:31.1045431Z inductor/test_flex_attention 17/26 2025-08-26T20:23:31.1045976Z inductor/test_flex_attention 19/26 2025-08-26T20:23:31.1046492Z inductor/test_flex_attention 21/26 2025-08-26T20:23:31.1047001Z inductor/test_flex_attention 23/26 2025-08-26T20:23:31.1047501Z inductor/test_flex_attention 25/26 2025-08-26T20:23:31.1048046Z inductor/test_max_autotune 1/1 2025-08-26T20:23:31.1048562Z inductor/test_cutlass_backend 1/1 2025-08-26T20:23:31.1049088Z inductor/test_benchmark_fusion 1/1 2025-08-26T20:23:31.1049642Z inductor/test_distributed_patterns 1/1 2025-08-26T20:23:31.1050204Z dynamo/test_fake_distributed 1/1 2025-08-26T20:23:31.1050693Z test_utils 1/1 2025-08-26T20:23:31.1051091Z test_overrides 1/1 2025-08-26T20:23:31.1051508Z test_torch 1/1 2025-08-26T20:23:31.1051915Z test_ci_sanity_check_fail 1/1 2025-08-26T20:23:31.1052383Z test_fx 1/1 2025-08-26T20:23:31.1052778Z test_reductions 1/1 2025-08-26T20:23:31.1053257Z test_nn 1/1 2025-08-26T20:23:31.1053666Z test_openreg 1/1 2025-08-26T20:23:31.1054139Z test_transformers_privateuse1 1/1 2025-08-26T20:23:31.1054682Z test_extension_utils 1/1 2025-08-26T20:23:31.1055149Z test_native_mha 1/1 2025-08-26T20:23:31.1055573Z test_mobile_optimizer 1/1 2025-08-26T20:23:31.1056011Z nn/test_pooling 1/1 2025-08-26T20:23:31.1056406Z nn/test_convolution 1/1 2025-08-26T20:23:31.1056885Z test_tensor_creation_ops 1/1 2025-08-26T20:23:31.1057343Z test_spectral_ops 1/1 2025-08-26T20:23:31.1057745Z doctests 1/1 2025-08-26T20:23:31.1058145Z test_cpp_extensions_aot_no_ninja 1/1 2025-08-26T20:23:31.1058637Z test_autocast 1/1 2025-08-26T20:23:31.1059026Z test_dispatch 1/1 2025-08-26T20:23:31.1059885Z test_autograd_fallback 1/1 2025-08-26T20:23:31.1060376Z distributions/test_distributions 1/1 2025-08-26T20:23:31.1060916Z functorch/test_memory_efficient_fusion 1/1 2025-08-26T20:23:31.1061423Z test_cuda_trace 1/1 2025-08-26T20:23:31.1061819Z test_fake_tensor 1/1 2025-08-26T20:23:31.1062254Z test_multiprocessing 1/1 2025-08-26T20:23:31.1062721Z test_multiprocessing_spawn 1/1 2025-08-26T20:23:31.1063202Z test_python_dispatch 1/1 2025-08-26T20:23:31.1063627Z test_sort_and_select 1/1 2025-08-26T20:23:31.1064042Z test_tensorexpr 1/1 2025-08-26T20:23:31.1064445Z test_autoload_disable 1/1 2025-08-26T20:23:31.1064883Z test_autoload_enable 1/1 2025-08-26T20:23:31.1065315Z test_cpp_api_parity 1/1 2025-08-26T20:23:31.1065767Z test_cpp_extensions_aot_ninja 1/1 2025-08-26T20:23:31.1066243Z test_cpp_extensions_jit 1/1 2025-08-26T20:23:31.1066718Z test_cpp_extensions_mtia_backend 1/1 2025-08-26T20:23:31.1067247Z test_cpp_extensions_stream_and_event 1/1 2025-08-26T20:23:31.1067766Z test_cuda_primary_ctx 1/1 2025-08-26T20:23:31.1068400Z test_jit_disabled 1/1 2025-08-26T20:23:31.1068836Z test_namedtuple_return_api 1/1 2025-08-26T20:23:31.1069294Z test_show_pickle 1/1 2025-08-26T20:23:31.1069707Z Parallel tests (16): 2025-08-26T20:23:31.1070430Z inductor/test_halide 1/1 2025-08-26T20:23:31.1070878Z dynamo/test_nested_graph_breaks 1/1 2025-08-26T20:23:31.1071361Z inductor/test_xpu_basic 1/1 2025-08-26T20:23:31.1071805Z test_stateless 1/1 2025-08-26T20:23:31.1072221Z optim/test_swa_utils 1/1 2025-08-26T20:23:31.1072644Z test_futures 1/1 2025-08-26T20:23:31.1073032Z test_hop_infra 1/1 2025-08-26T20:23:31.1073430Z test_import_stats 1/1 2025-08-26T20:23:31.1073837Z test_itt 1/1 2025-08-26T20:23:31.1074205Z test_license 1/1 2025-08-26T20:23:31.1074586Z test_logging 1/1 2025-08-26T20:23:31.1074962Z test_masked 1/1 2025-08-26T20:23:31.1075343Z test_mkldnn_verbose 1/1 2025-08-26T20:23:31.1075796Z test_native_functions 1/1 2025-08-26T20:23:31.1076239Z test_numa_binding 1/1 2025-08-26T20:23:31.1076658Z test_ops_fwd_gradients 1/2 2025-08-26T20:23:31.1077120Z Name: excluded (est. time: 0.0min) 2025-08-26T20:23:31.1077580Z Serial tests (0): 2025-08-26T20:23:31.1077962Z Parallel tests (0): 2025-08-26T20:23:31.1078580Z Running inductor/test_flex_attention 1/26 ... [2025-08-26 20:23:31.104374] 2025-08-26T20:23:31.1079300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:23:31.1081007Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=26', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:23:31.104624] 2025-08-26T20:25:38.4480183Z 2025-08-26T20:25:38.4481076Z inductor/test_flex_attention 1/26 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.26_9579a09a2ca8c1ec_.log 2025-08-26T20:25:38.4497410Z Running 33 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_differentiable_logsumexp_compiled_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order2_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order3_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order4_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order2_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_eager_permute_order0_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order1_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_fw_bw_graph_correctness_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod4_head_dims1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod5_head_dims0_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod6_head_dims0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod7_head_dims0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod7_head_dims0_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_pow_2_headdim_head_dim_94_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s1_k_s2_v_s2_do_s1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s1_k_s3_v_s3_do_s0_cuda_float16, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flipped_indexed_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_mode_default_cuda 2025-08-26T20:25:38.4509767Z 2025-08-26T20:25:38.4509955Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading 2025-08-26T20:25:38.4510317Z Uploading artifacts took 0.00 seconds 2025-08-26T20:25:38.4510739Z Running inductor/test_flex_attention 3/26 ... [2025-08-26 20:25:38.448695] 2025-08-26T20:25:38.4511067Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:25:38.4511821Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=3', '--num-shards=26', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:25:38.449290] 2025-08-26T20:27:05.2010312Z 2025-08-26T20:27:05.2015293Z inductor/test_flex_attention 3/26 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_3.26_681d54159c13f37b_.log 2025-08-26T20:27:05.2029580Z Running 26 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_128_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_custom_block_mask_generator_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order4_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_eager_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order1_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_invalid_block_size_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_load_from_bias_seq_only_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod2_head_dims1_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod4_head_dims0_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod6_head_dims1_cuda_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_allocate_cuda, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod6_cuda_float32, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_size_changes_BLOCK_SIZE5_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_size_changes_BLOCK_SIZE_32_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_init_mismatched_full_kv_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_indirect_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_mode_default_cuda 2025-08-26T20:27:05.2041262Z 2025-08-26T20:27:05.2041470Z Running inductor/test_flex_attention 5/26 ... [2025-08-26 20:27:05.201239] 2025-08-26T20:27:05.2041872Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:27:05.2042801Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=5', '--num-shards=26', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:05.201687] 2025-08-26T20:28:58.4620937Z 2025-08-26T20:28:58.4626025Z inductor/test_flex_attention 5/26 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_5.26_4a03b4f241091ad2_.log 2025-08-26T20:28:58.4638554Z Running 26 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE3_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_256_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_256_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_seqlen_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_dynamic_divisibility_guards_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_dynamic_shapes_with_custom_kernel_options_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order1_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order1_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_eager_permute_order1_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order2_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_mask_mod_combiners_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_recompile_changed_score_mod_cuda_float16, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_size_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_absolute_2d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_distinct_biases_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flipped_indexed_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flipped_indexed_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_local_window_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_cuda 2025-08-26T20:28:58.4650660Z 2025-08-26T20:28:58.4650897Z Running inductor/test_flex_attention 7/26 ... [2025-08-26 20:28:58.462193] 2025-08-26T20:28:58.4651383Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:28:58.4652661Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=7', '--num-shards=26', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:58.462862] 2025-08-26T20:31:27.3471091Z 2025-08-26T20:31:27.3474912Z inductor/test_flex_attention 7/26 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_7.26_272e2f65ec1ec7f2_.log 2025-08-26T20:31:27.3488321Z Running 28 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_256_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_seqlen_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_dynamic_score_mask_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_device_cuda_1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_differentiable_logsumexp_gradcheck_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order4_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_index_multiple_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod4_head_dims0_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod5_head_dims0_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod6_head_dims0_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_skip_odd_keys_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_small_q_kv_len_cuda, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod0_cuda_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod5_cuda_bfloat16, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_absolute_2d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_batch_head_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_with_dynamic_max_autotune_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flipped_indexed_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_global_tokens_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cuda 2025-08-26T20:31:27.3500744Z 2025-08-26T20:31:27.3500952Z Running inductor/test_flex_attention 9/26 ... [2025-08-26 20:31:27.347171] 2025-08-26T20:31:27.3501381Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:31:27.3502315Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=9', '--num-shards=26', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:31:27.347700] 2025-08-26T20:34:06.3984804Z 2025-08-26T20:34:06.3988576Z inductor/test_flex_attention 9/26 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_9.26_c51e47cbbb693cce_.log 2025-08-26T20:34:06.4009563Z Running 30 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_aot_eager_gradcheck_score_mod0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_256_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_256_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_multiple_score_mod_calls_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_natten_2d_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod0_head_dims1_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod5_head_dims1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod7_head_dims1_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_qkv_and_block_mask_on_the_same_device_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_reduction_unrolled_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_selective_ac_ops_to_save1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s0_k_s1_v_s1_do_s1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_tensor_subclass_dispatch_order_cuda, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod6_cuda_bfloat16, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_mask_device_change_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_create_is_cuda_graphable_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flipped_indexed_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_local_window_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cuda 2025-08-26T20:34:06.4023600Z 2025-08-26T20:34:06.4023821Z Running inductor/test_flex_attention 11/26 ... [2025-08-26 20:34:06.398441] 2025-08-26T20:34:06.4024233Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:34:06.4025176Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=11', '--num-shards=26', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:06.399050] 2025-08-26T20:35:57.5035204Z 2025-08-26T20:35:57.5036060Z inductor/test_flex_attention 11/26 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_11.26_e19dd2b0fca896bf_.log 2025-08-26T20:35:57.5047979Z Running 23 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_128_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod1_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod3_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_inputs_are_realized_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_load_from_bias_head_seq_batch_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod3_head_dims0_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod5_head_dims1_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s1_k_s1_v_s1_do_s0_cuda_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_backward_error_with_none_q_indices_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_absolute_2d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flipped_indexed_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cuda 2025-08-26T20:35:57.5058232Z 2025-08-26T20:35:57.5058447Z Running inductor/test_flex_attention 13/26 ... [2025-08-26 20:35:57.503220] 2025-08-26T20:35:57.5058860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:35:57.5059798Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=13', '--num-shards=26', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:57.503742] 2025-08-26T20:38:19.7198834Z 2025-08-26T20:38:19.7206212Z inductor/test_flex_attention 13/26 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_13.26_eaf303ec3fa1ace3_.log 2025-08-26T20:38:19.7217277Z Running 28 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_256_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_dynamic_shapes_with_max_autotune_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order3_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order2_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod2_head_dims0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod7_head_dims1_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s0_k_s0_v_s0_do_s0_cuda_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod2_cuda_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod7_cuda_bfloat16, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_size_changes_BLOCK_SIZE_128_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_from_kv_blocks_without_q_computation_full_indices_True_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_absolute_2d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_absolute_2d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_absolute_2d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_local_window_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_local_window_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cuda 2025-08-26T20:38:19.7227663Z 2025-08-26T20:38:19.7227827Z Running inductor/test_flex_attention 15/26 ... [2025-08-26 20:38:19.720057] 2025-08-26T20:38:19.7228232Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:38:19.7229000Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=15', '--num-shards=26', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:19.720600] 2025-08-26T20:40:43.3419458Z 2025-08-26T20:40:43.3420423Z inductor/test_flex_attention 15/26 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_15.26_e4c20d882cfb048d_.log 2025-08-26T20:40:43.3432887Z Running 32 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE3_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_256_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_seqlen_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_causal_block_non_divisible_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_doc_mask_sparse_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order2_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_eager_permute_order2_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order1_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_multiple_mask_calls_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s0_k_s1_v_s1_do_s2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s0_k_s2_v_s2_do_s0_cuda_float16, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_mask_vs_sequence_lengths_compile_False_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_from_kv_blocks_full_indices_True_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_batch_head_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_distinct_biases_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_indirect_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_multiplicative_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_cuda 2025-08-26T20:40:43.3445118Z 2025-08-26T20:40:43.3445281Z Running inductor/test_flex_attention 17/26 ... [2025-08-26 20:40:43.342155] 2025-08-26T20:40:43.3445621Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:40:43.3446370Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=17', '--num-shards=26', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:40:43.342673] 2025-08-26T20:42:47.0227473Z 2025-08-26T20:42:47.0229116Z inductor/test_flex_attention 17/26 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_17.26_13aa0ca0206956c7_.log 2025-08-26T20:42:47.0246731Z Running 30 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_256_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_128_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_256_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_seqlen_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_captured_scale_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_eager_permute_order4_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_float32_matmul_precision_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_fully_masked_out_rows_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_large_batch_heads_grid_dimension_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_contiguous_last_dim_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod0_head_dims0_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod0_head_dims0_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_skip_odd_keys_cuda_bfloat16, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_mask_viz_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_absolute_2d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_batch_head_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_distinct_biases_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_global_tokens_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_bias_req_grad_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_indirect_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_inspect_bug_cuda 2025-08-26T20:42:47.0259721Z 2025-08-26T20:42:47.0259939Z Running inductor/test_flex_attention 19/26 ... [2025-08-26 20:42:47.022581] 2025-08-26T20:42:47.0260342Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:42:47.0261287Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=19', '--num-shards=26', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:42:47.023131] 2025-08-26T20:44:36.1293584Z 2025-08-26T20:44:36.1298778Z inductor/test_flex_attention 19/26 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_19.26_626aa1d0eda3b837_.log 2025-08-26T20:44:36.1316817Z Running 20 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_128_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_seqlen_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_dynamic_score_mask_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod1_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod4_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod4_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod6_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_captured_reduction_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_logsumexp_correctness_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_divisible_with_captured_buffer_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_pow_2_headdim_head_dim_17_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_backwards_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s0_k_s0_v_s0_do_s1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s1_k_s3_v_s3_do_s1_cuda_float16 2025-08-26T20:44:36.1332923Z 2025-08-26T20:44:36.1333307Z Running inductor/test_flex_attention 21/26 ... [2025-08-26 20:44:36.129466] 2025-08-26T20:44:36.1334058Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:44:36.1335785Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=21', '--num-shards=26', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:44:36.129997] 2025-08-26T20:46:14.4564379Z 2025-08-26T20:46:14.4567618Z inductor/test_flex_attention 21/26 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_21.26_81a77dcc1c6de686_.log 2025-08-26T20:46:14.4577713Z Running 21 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_seqlen_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_causal_block_paged_attention_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order0_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_eager_permute_order2_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_logsumexp_correctness_score_mod0_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_make_block_mask_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_max_autotune_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod2_head_dims0_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_pow_2_headdim_head_dim_121_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_selective_ac_ops_to_save2_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s0_k_s1_v_s1_do_s0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s1_k_s0_v_s0_do_s0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_zero_length_sequence_error_cuda, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_convert_mask_mod_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_global_tokens_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_indirect_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_multiplicative_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_multiplicative_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda 2025-08-26T20:46:14.4586977Z 2025-08-26T20:46:14.4587220Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading 2025-08-26T20:46:14.4587654Z Uploading artifacts took 0.00 seconds 2025-08-26T20:46:14.4588150Z Running inductor/test_flex_attention 23/26 ... [2025-08-26 20:46:14.456917] 2025-08-26T20:46:14.4588593Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:46:14.4589581Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=23', '--num-shards=26', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:46:14.457488] 2025-08-26T20:49:09.1931233Z 2025-08-26T20:49:09.1935939Z inductor/test_flex_attention 23/26 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_23.26_c1b099fc99ef3316_.log 2025-08-26T20:49:09.1966594Z Running 33 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE3_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order4_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_eager_permute_order1_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order0_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order2_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_inductor_permute_order4_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order0_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_force_write_lse_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_load_from_bias_seq_batch_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_lse_masked_output_backend_flex_attention_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s0_k_s2_v_s2_do_s1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s1_k_s2_v_s2_do_s2_cuda_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_page_allocation_cuda, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod4_cuda_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_indirect_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_local_window_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_local_window_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_mode_max-autotune-no-cudagraphs_cuda 2025-08-26T20:49:09.1995765Z 2025-08-26T20:49:09.1996143Z Running inductor/test_flex_attention 25/26 ... [2025-08-26 20:49:09.193022] 2025-08-26T20:49:09.1996915Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:49:09.1998762Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=25', '--num-shards=26', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:09.193358] 2025-08-26T20:51:28.3638746Z 2025-08-26T20:51:28.3640299Z inductor/test_flex_attention 25/26 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_25.26_0b3f60d16ca15bd1_.log 2025-08-26T20:51:28.3667849Z Running 27 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_seqlen_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_dynamic_score_mask_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_captured_buffers_all_dims_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order1_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_index_weird2_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_load_rel_bias_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_multiple_score_mod_calls2_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod0_head_dims1_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod1_head_dims1_cuda_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod3_cuda_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod4_cuda_bfloat16, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_compiling_create_block_mask_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_from_kv_blocks_full_indices_False_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_batch_head_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flex_attention_with_dynamic_max_autotune_graph_partition_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_indirect_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_indirect_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cuda 2025-08-26T20:51:28.3690786Z 2025-08-26T20:51:28.3691142Z Running inductor/test_max_autotune 1/1 ... [2025-08-26 20:51:28.364026] 2025-08-26T20:51:28.3691889Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T20:51:28.3693584Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_max_autotune.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 20:51:28.364378] 2025-08-26T21:01:27.5851709Z 2025-08-26T21:01:27.5853221Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_3ccbcb17deead749_.log 2025-08-26T21:01:27.5927626Z Running 146 items in this shard: test/inductor/test_max_autotune.py::TestMaxAutotune::test_autotune_conv1x1, test/inductor/test_max_autotune.py::TestMaxAutotune::test_autotune_device_guard, test/inductor/test_max_autotune.py::TestMaxAutotune::test_baddmm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_cat_addmm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_cat_max_autotune_extern, test/inductor/test_max_autotune.py::TestMaxAutotune::test_cat_max_autotune_triton, test/inductor/test_max_autotune.py::TestMaxAutotune::test_conv1x1_with_free_symbols, test/inductor/test_max_autotune.py::TestMaxAutotune::test_conv3d, test/inductor/test_max_autotune.py::TestMaxAutotune::test_conv_backend, test/inductor/test_max_autotune.py::TestMaxAutotune::test_conv_cat, test/inductor/test_max_autotune.py::TestMaxAutotune::test_empty_conv_input, test/inductor/test_max_autotune.py::TestMaxAutotune::test_empty_conv_input_with_1x1_kernel, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout0_op_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout0_op_scaled_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout_0_op_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout_0_op_scaled_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout_27_op_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_honor_sm_carveout_with_triton_tma_carveout_27_op_scaled_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_inf_timing_multi_template_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_inf_timing_multi_template_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_jit_fusion_matches_aot_fusion, test/inductor/test_max_autotune.py::TestMaxAutotune::test_linear_and_cel, test/inductor/test_max_autotune.py::TestMaxAutotune::test_matmul_dropout_device_cpu, test/inductor/test_max_autotune.py::TestMaxAutotune::test_matmul_dropout_device_cuda, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_addmm_persistent_tma_a_transposed_False_b_transposed_False_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_addmm_persistent_tma_a_transposed_False_b_transposed_False_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_addmm_persistent_tma_a_transposed_False_b_transposed_True_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_addmm_persistent_tma_a_transposed_False_b_transposed_True_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_addmm_persistent_tma_a_transposed_True_b_transposed_False_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_addmm_persistent_tma_a_transposed_True_b_transposed_False_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_addmm_persistent_tma_a_transposed_True_b_transposed_True_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_addmm_persistent_tma_a_transposed_True_b_transposed_True_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_addmm_persistent_tma_illegal_alignment_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_addmm_persistent_tma_illegal_alignment_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_addmm_tma_dynamic_outer_dim, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_addmm_zero_size_input_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_addmm_zero_size_input_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_dynamic_False_bfloat16_sizes0, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_dynamic_False_bfloat16_sizes1, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_dynamic_False_bfloat16_sizes2, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_dynamic_False_float16_sizes0, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_dynamic_False_float16_sizes1, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_dynamic_False_float16_sizes2, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_dynamic_True_bfloat16_sizes0, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_dynamic_True_bfloat16_sizes1, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_dynamic_True_bfloat16_sizes2, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_dynamic_True_float16_sizes0, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_dynamic_True_float16_sizes1, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_dynamic_True_float16_sizes2, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_dynamic_input, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_dynamic_input_bwd, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_envvars_num_decompose_k_splits_0_decompose_k_threshold_16, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_envvars_num_decompose_k_splits_0_decompose_k_threshold_8, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_envvars_num_decompose_k_splits_20_decompose_k_threshold_16, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_envvars_num_decompose_k_splits_20_decompose_k_threshold_8, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_envvars_num_decompose_k_splits_5_decompose_k_threshold_16, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_envvars_num_decompose_k_splits_5_decompose_k_threshold_8, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_decompose_k_output_stride, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_exhaustive, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_mm_plus_mm_zero_size_input_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_mm_plus_mm_zero_size_input_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_a_transposed_False_b_transposed_False_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_a_transposed_False_b_transposed_False_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_a_transposed_False_b_transposed_True_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_a_transposed_False_b_transposed_True_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_a_transposed_True_b_transposed_False_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_a_transposed_True_b_transposed_False_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_a_transposed_True_b_transposed_True_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_a_transposed_True_b_transposed_True_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_illegal_alignment_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_illegal_alignment_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_strided_a_transposed_False_b_transposed_False_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_strided_a_transposed_False_b_transposed_False_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_strided_a_transposed_False_b_transposed_True_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_strided_a_transposed_False_b_transposed_True_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_strided_a_transposed_True_b_transposed_False_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_strided_a_transposed_True_b_transposed_False_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_strided_a_transposed_True_b_transposed_True_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_persistent_tma_strided_a_transposed_True_b_transposed_True_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_tma_dynamic_outer_dim, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_zero_size_input_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotune::test_max_autotune_regular_mm_zero_size_input_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotune::test_mm_k_1, test/inductor/test_max_autotune.py::TestMaxAutotune::test_mutation_rename, test/inductor/test_max_autotune.py::TestMaxAutotune::test_no_valid_choices, test/inductor/test_max_autotune.py::TestMaxAutotune::test_non_contiguous_input_addmm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_non_contiguous_input_bmm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_non_contiguous_input_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_non_contiguous_input_mm_plus_mm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_triton_template_generated_code_cache_key, test/inductor/test_max_autotune.py::TestMaxAutotune::test_triton_template_generated_code_cache_strategy, test/inductor/test_max_autotune.py::TestMaxAutotune::test_triton_template_generated_code_caching, test/inductor/test_max_autotune.py::TestMaxAutotune::test_triton_template_generated_code_caching_bmm, test/inductor/test_max_autotune.py::TestMaxAutotune::test_triton_template_generated_code_caching_mm_plus_mm, test/inductor/test_max_autotune.py::TestMaxAutotunePrecompile::test_filled_cache_precompile, test/inductor/test_max_autotune.py::TestMaxAutotunePrecompile::test_precompilation_threads, test/inductor/test_max_autotune.py::TestMaxAutotunePrecompile::test_precompilations, test/inductor/test_max_autotune.py::TestMaxAutotuneSubproc::test_benchmark_choice_fail_in_subproc, test/inductor/test_max_autotune.py::TestMaxAutotuneSubproc::test_benchmark_choice_in_subproc, test/inductor/test_max_autotune.py::TestMaxAutotuneSubproc::test_max_autotune_addmm_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotuneSubproc::test_max_autotune_addmm_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotuneSubproc::test_max_autotune_mm_plus_mm_autotune_in_subproc_False_autotune_multi_device_False, test/inductor/test_max_autotune.py::TestMaxAutotuneSubproc::test_max_autotune_mm_plus_mm_autotune_in_subproc_False_autotune_multi_device_True, test/inductor/test_max_autotune.py::TestMaxAutotuneSubproc::test_max_autotune_mm_plus_mm_autotune_in_subproc_True_autotune_multi_device_False, test/inductor/test_max_autotune.py::TestMaxAutotuneSubproc::test_max_autotune_mm_plus_mm_autotune_in_subproc_True_autotune_multi_device_True, test/inductor/test_max_autotune.py::TestMaxAutotuneSubproc::test_max_autotune_regular_mm_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotuneSubproc::test_max_autotune_regular_mm_dynamic_True, test/inductor/test_max_autotune.py::TestMaxAutotuneSubproc::test_triton_template_with_epilogues_and_dynamic_shape, test/inductor/test_max_autotune.py::TestMaxAutotuneRemoteCache::test_max_autotune_remote_caching_dynamic_False, test/inductor/test_max_autotune.py::TestMaxAutotuneRemoteCache::test_max_autotune_remote_caching_dynamic_True, test/inductor/test_max_autotune.py::TestTuningProcess::test_tuning_subproc_crash, test/inductor/test_max_autotune.py::TestTuningProcess::test_tuning_subproc_exception, test/inductor/test_max_autotune.py::TestTuningProcess::test_tuning_subproc_killed, test/inductor/test_max_autotune.py::TestTuningProcess::test_tuning_subproc_timeout, test/inductor/test_max_autotune.py::TestTuningProcess::test_visible_devices, test/inductor/test_max_autotune.py::TestTuningProcessPool::test_tuning_pool_crash, test/inductor/test_max_autotune.py::TestTuningProcessPool::test_tuning_pool_multiple_devices, test/inductor/test_max_autotune.py::TestTuningProcessPool::test_tuning_pool_timeout, test/inductor/test_max_autotune.py::TestPrologueFusion::test_broadcast_x_K_63, test/inductor/test_max_autotune.py::TestPrologueFusion::test_broadcast_x_K_64, test/inductor/test_max_autotune.py::TestPrologueFusion::test_broadcast_y, test/inductor/test_max_autotune.py::TestPrologueFusion::test_downcast, test/inductor/test_max_autotune.py::TestPrologueFusion::test_gather_fusion, test/inductor/test_max_autotune.py::TestPrologueFusion::test_low_precision, test/inductor/test_max_autotune.py::TestPrologueFusion::test_mismatched_prologue_group, test/inductor/test_max_autotune.py::TestPrologueFusion::test_multiple_fusions_sizes0, test/inductor/test_max_autotune.py::TestPrologueFusion::test_multiple_fusions_sizes1, test/inductor/test_max_autotune.py::TestPrologueFusion::test_multiple_fusions_sizes2, test/inductor/test_max_autotune.py::TestPrologueFusion::test_multiple_inputs_sizes0, test/inductor/test_max_autotune.py::TestPrologueFusion::test_multiple_inputs_sizes1, test/inductor/test_max_autotune.py::TestPrologueFusion::test_multiple_inputs_sizes2, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusion_pro_and_epi, test/inductor/test_max_autotune.py::TestPrologueFusion::test_pending_fusions_multiple, test/inductor/test_max_autotune.py::TestPrologueFusion::test_preserves_zero_analysis, test/inductor/test_max_autotune.py::TestPrologueFusion::test_prologue_masked_load_sizes0, test/inductor/test_max_autotune.py::TestPrologueFusion::test_prologue_masked_load_sizes1, test/inductor/test_max_autotune.py::TestPrologueFusion::test_prologue_masked_load_sizes2, test/inductor/test_max_autotune.py::TestPrologueFusion::test_prologue_multiple_nodes_sizes0, test/inductor/test_max_autotune.py::TestPrologueFusion::test_prologue_multiple_nodes_sizes1, test/inductor/test_max_autotune.py::TestPrologueFusion::test_prologue_multiple_nodes_sizes2, test/inductor/test_max_autotune.py::TestPrologueFusion::test_prologue_read_into_both_inputs_benchmark_fusion_False, test/inductor/test_max_autotune.py::TestPrologueFusion::test_prologue_read_into_both_inputs_benchmark_fusion_True, test/inductor/test_max_autotune.py::TestPrologueFusion::test_storage_offset_prologue, test/inductor/test_max_autotune.py::TestPrologueFusion::test_upcast_sizes0, test/inductor/test_max_autotune.py::TestPrologueFusion::test_upcast_sizes1, test/inductor/test_max_autotune.py::TestPrologueFusion::test_upcast_sizes2 2025-08-26T21:01:27.6004407Z 2025-08-26T21:01:27.6004620Z Running inductor/test_cutlass_backend 1/1 ... [2025-08-26 21:01:27.586275] 2025-08-26T21:01:27.6005044Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:01:27.6006458Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cutlass_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 21:01:27.586741] 2025-08-26T21:01:33.4151389Z 2025-08-26T21:01:33.4153646Z inductor/test_cutlass_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_backend_1.1_dbd85af857468d13_.log 2025-08-26T21:01:33.4252375Z Running 148 items in this shard: test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_aoti_workspace_ptr, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_check_paths, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_compilation_time_use_aoti_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_compilation_time_use_aoti_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_config_number_post_filtering, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_backend_fp8_scaled_mm_fast_accum_filtering, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_backend_integration, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_backend_matmul_nonzero_offset, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_backend_matmul_same_tensor, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_backend_op_allowlist, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_backend_op_denylist, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_backend_shape_coverage_mm, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_backend_subproc_addmm_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_backend_subproc_addmm_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_backend_subproc_bmm, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_backend_subproc_mm, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_key, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_presets_presets_, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_presets_presets_0, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_cutlass_presets_presets_0,999, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_diff_matmul_share_same_kernel_dynamic_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_diff_matmul_share_same_kernel_dynamic_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_broadcasting_add, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_broadcasting_div, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_broadcasting_mul, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_broadcasting_sub, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_flexible_layout, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_add_shape0, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_add_shape1, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_add_shape2, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_add_shape3, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_div_shape0, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_div_shape1, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_div_shape2, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_div_shape3, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_mul_shape0, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_mul_shape1, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_mul_shape2, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_mul_shape3, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_relu_shape0, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_relu_shape1, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_relu_shape2, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_relu_shape3, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_sub_shape0, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_sub_shape1, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_sub_shape2, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_fusions_basic_sub_shape3, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_mixed_dtypes_add, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_mixed_dtypes_div, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_mixed_dtypes_mul, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_mixed_dtypes_relu, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_mixed_dtypes_sub, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_op_add, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_op_div, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_op_mul, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_op_relu, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_op_sub, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_output_add_dynamic_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_output_add_dynamic_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_output_div_dynamic_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_output_div_dynamic_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_output_mul_dynamic_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_output_mul_dynamic_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_output_relu_dynamic_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_output_relu_dynamic_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_output_sub_dynamic_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_multi_output_sub_dynamic_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_return_accumulator, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_reuse_matmul_input_add, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_reuse_matmul_input_div, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_reuse_matmul_input_mul, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_reuse_matmul_input_relu, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_evt_reuse_matmul_input_sub, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_filtered_ops_cache, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_flexible_layout, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_force_cutlass_backend_aoti_cexpr_codegen, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_force_cutlass_backend_aoti_dynamic, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_fp8_rowwise_scaling_float8_e4m3fn_shape0_has_bias_False_use_fast_accum_False_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_fp8_rowwise_scaling_float8_e4m3fn_shape0_has_bias_False_use_fast_accum_False_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_fp8_rowwise_scaling_float8_e4m3fn_shape0_has_bias_False_use_fast_accum_True_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_fp8_rowwise_scaling_float8_e4m3fn_shape0_has_bias_False_use_fast_accum_True_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_fp8_rowwise_scaling_float8_e4m3fn_shape0_has_bias_True_use_fast_accum_False_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_fp8_rowwise_scaling_float8_e4m3fn_shape0_has_bias_True_use_fast_accum_False_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_fp8_rowwise_scaling_float8_e4m3fn_shape0_has_bias_True_use_fast_accum_True_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_fp8_rowwise_scaling_float8_e4m3fn_shape0_has_bias_True_use_fast_accum_True_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_fp8_tensorwise_scaling_float8_e4m3fn_shape0_has_bias_False_use_fast_accum_False_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_fp8_tensorwise_scaling_float8_e4m3fn_shape0_has_bias_False_use_fast_accum_False_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_fp8_tensorwise_scaling_float8_e4m3fn_shape0_has_bias_True_use_fast_accum_False_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_fp8_tensorwise_scaling_float8_e4m3fn_shape0_has_bias_True_use_fast_accum_False_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_gemm_operation_serialization_arch_100_cuda_version_12_4, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_gemm_operation_serialization_arch_100_cuda_version_12_8, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_gemm_operation_serialization_arch_90_cuda_version_12_4, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_gemm_operation_serialization_arch_90_cuda_version_12_8, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_get_max_alignment, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_import_cutlass, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_addmm_dynamic_False_use_aoti_False_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_addmm_dynamic_False_use_aoti_False_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_addmm_dynamic_False_use_aoti_True_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_addmm_dynamic_False_use_aoti_True_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_addmm_dynamic_True_use_aoti_False_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_addmm_dynamic_True_use_aoti_False_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_addmm_dynamic_True_use_aoti_True_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_addmm_dynamic_True_use_aoti_True_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_False_use_aoti_False_bfloat16_use_expand_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_False_use_aoti_False_bfloat16_use_expand_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_False_use_aoti_False_float16_use_expand_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_False_use_aoti_False_float16_use_expand_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_False_use_aoti_True_bfloat16_use_expand_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_False_use_aoti_True_bfloat16_use_expand_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_False_use_aoti_True_float16_use_expand_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_False_use_aoti_True_float16_use_expand_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_True_use_aoti_False_bfloat16_use_expand_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_True_use_aoti_False_bfloat16_use_expand_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_True_use_aoti_False_float16_use_expand_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_True_use_aoti_False_float16_use_expand_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_True_use_aoti_True_bfloat16_use_expand_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_True_use_aoti_True_bfloat16_use_expand_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_True_use_aoti_True_float16_use_expand_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_bmm_dynamic_True_use_aoti_True_float16_use_expand_True, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_chained_fusion_fp16_fp32acc, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_fp8_scaled_mm_dynamic_False_use_aoti_False_float8_e4m3fn, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_fp8_scaled_mm_dynamic_False_use_aoti_True_float8_e4m3fn, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_fp8_scaled_mm_dynamic_True_use_aoti_False_float8_e4m3fn, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_fp8_scaled_mm_dynamic_True_use_aoti_True_float8_e4m3fn, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_int_mm_dynamic_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_no_fusion_dtype_mismatch, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_regular_mm_dynamic_False_use_aoti_False_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_regular_mm_dynamic_False_use_aoti_False_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_regular_mm_dynamic_False_use_aoti_True_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_regular_mm_dynamic_False_use_aoti_True_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_regular_mm_dynamic_True_use_aoti_False_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_regular_mm_dynamic_True_use_aoti_False_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_regular_mm_dynamic_True_use_aoti_True_bfloat16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_regular_mm_dynamic_True_use_aoti_True_float16, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_regular_mm_streamk, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_relu6_fusion_fp16_fp32acc, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_relu_fusion_fp16_fp32acc, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_shape_dependent_normalization_fusion, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_simple_fusion_fp16_fp32acc, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_backend_sparse_semi_structured_mm_dynamic_False, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_max_autotune_cutlass_threshold, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_maybe_append_choice_caching, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_multiple_mm, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_multiple_mm_with_dynamic_shape, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_number_mm_precompiles, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_standalone_runner, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_streamk_with_dynamic, test/inductor/test_cutlass_backend.py::TestCutlassBackend::test_streamk_with_static 2025-08-26T21:01:33.4353059Z 2025-08-26T21:01:33.4353477Z Running inductor/test_benchmark_fusion 1/1 ... [2025-08-26 21:01:33.416202] 2025-08-26T21:01:33.4354284Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:01:33.4356101Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_benchmark_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 21:01:33.416768] 2025-08-26T21:02:19.4330421Z 2025-08-26T21:02:19.4331586Z inductor/test_benchmark_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmark_fusion_1.1_34b5e09e86b13970_.log 2025-08-26T21:02:19.4342717Z Running 16 items in this shard: test/inductor/test_benchmark_fusion.py::BenchmarkFusionCudaTest::test_avoid_register_spilling_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCudaTest::test_foreach_kernel_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCudaTest::test_register_spills_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCudaTest::test_resnet18_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCudaTest::test_softmax_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCudaTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkingTest::test_benchmark_on_non_zero_device, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionCudaTest::test_changed_layout, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionCudaTest::test_equivalent_extern_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionCudaTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_avoid_register_spilling_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_foreach_kernel_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_register_spills_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_resnet18_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_softmax_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_tield_kernel_fusion_cpu 2025-08-26T21:02:19.4353720Z 2025-08-26T21:02:19.4354153Z Running inductor/test_distributed_patterns 1/1 ... [2025-08-26 21:02:19.433494] 2025-08-26T21:02:19.4354944Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:02:19.4356710Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_distributed_patterns.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 21:02:19.434077] 2025-08-26T21:02:40.3960891Z 2025-08-26T21:02:40.3963069Z inductor/test_distributed_patterns 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_distributed_patterns_1.1_3ffe9578867968c5_.log 2025-08-26T21:02:40.3978715Z Running 20 items in this shard: test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_fake_distributed_aot_eager, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_fake_distributed_inductor, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_intermediate_hook_with_closure, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_intermediate_hook_with_nested_closure, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_aot, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_eager, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_inductor, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_multi_layers, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return1, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return2, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return3, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return4, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_nonzero_cpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_nonzero_gpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_zero_cpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_zero_gpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_preserve_version_counter1, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_preserve_version_counter2, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_set_version_counter1, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_set_version_counter2 2025-08-26T21:02:40.3992575Z 2025-08-26T21:02:40.3992973Z Running dynamo/test_fake_distributed 1/1 ... [2025-08-26 21:02:40.396480] 2025-08-26T21:02:40.3993712Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:02:40.3995434Z Executing ['/opt/conda/envs/py_3.10/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 21:02:40.397072] 2025-08-26T21:02:47.9787750Z 2025-08-26T21:02:47.9789422Z 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_db3008a835582bab_.log 2025-08-26T21:02:47.9792220Z Running 2 items in this shard: test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_all_to_all_single_autograd, test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_device_mesh_get_local_rank 2025-08-26T21:02:47.9793733Z 2025-08-26T21:02:47.9794017Z Running test_utils 1/1 ... [2025-08-26 21:02:47.979051] 2025-08-26T21:02:47.9795718Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:02:47.9799746Z Executing ['/opt/conda/envs/py_3.10/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 21:02:47.979602] 2025-08-26T21:03:31.9453244Z 2025-08-26T21:03:31.9458565Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_fef317975b6da067_.log 2025-08-26T21:03:32.1446173Z Running 6014 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, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acos_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acos_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acos_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acos_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acos_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acos_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acos_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acos_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acos_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acos_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acos_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acosh_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_add_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addbmm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcdiv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addcmul_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmm_decomposed_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addmv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_addr_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_alias_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_all_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_allclose_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amax_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_amin_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_aminmax_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_angle_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_any_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_arange_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmax_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argmin_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argsort_cuda_uint8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_argwhere_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_as_strided_copy_cuda_int16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bincount_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bincount_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bincount_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bincount_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bincount_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_and_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_left_shift_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_not_cuda_uint8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_embed_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_embed_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_embed_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_embed_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_embed_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_embed_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_embed_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_embed_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_embed_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_embed_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_embed_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_embed_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diag_embed_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagflat_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagflat_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagflat_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagflat_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagflat_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagflat_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagflat_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagflat_cuda_int16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagonal_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagonal_copy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagonal_copy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagonal_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagonal_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagonal_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagonal_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagonal_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagonal_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagonal_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diagonal_cuda_complex64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diff_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diff_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diff_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diff_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diff_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diff_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diff_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diff_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diff_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_diff_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_digamma_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_digamma_cuda_bool, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_dist_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_dist_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_floor_rounding_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_floor_rounding_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_floor_rounding_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_floor_rounding_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_floor_rounding_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_floor_rounding_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_floor_rounding_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_floor_rounding_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_floor_rounding_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_no_rounding_mode_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_no_rounding_mode_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_no_rounding_mode_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_no_rounding_mode_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_no_rounding_mode_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_no_rounding_mode_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_no_rounding_mode_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_no_rounding_mode_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_no_rounding_mode_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_no_rounding_mode_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_no_rounding_mode_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_no_rounding_mode_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_no_rounding_mode_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_trunc_rounding_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_trunc_rounding_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_trunc_rounding_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_trunc_rounding_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_trunc_rounding_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_trunc_rounding_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_trunc_rounding_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_trunc_rounding_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_div_trunc_rounding_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_dot_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_dot_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_dot_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_dot_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_dot_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_dot_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_double_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_double_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_double_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_double_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_double_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_double_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_double_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_double_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_double_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_double_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_double_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_double_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_double_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_dsplit_cuda_bfloat16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_empty_strided_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_empty_strided_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_empty_strided_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_empty_strided_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_empty_strided_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_empty_strided_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_empty_strided_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_empty_strided_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_empty_strided_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_empty_strided_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_empty_strided_cuda_int8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_hfft_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_hfft_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_hfftn_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_hfftn_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_hfftn_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_hfftn_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_hfftn_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_hfftn_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_hfftn_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_hfftn_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_hfftn_cuda_int32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_irfftn_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft2_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fft_rfft_cuda_int8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flipud_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_float_power_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_floor_divide_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmax_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmin_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmin_cuda_float16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_uint16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_uint32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gather_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gcd_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ge_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geometric_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geqrf_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geqrf_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geqrf_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_geqrf_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gradient_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_grid_sampler_3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_gt_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_half_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hash_tensor_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_heaviside_cuda_int64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hsplit_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hstack_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hypot_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hypot_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hypot_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_hypot_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_i0_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_igamma_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_igamma_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_igammac_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_igammac_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_imag_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_imag_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_imag_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_add_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_copy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_copy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_copy_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_copy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_copy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_copy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_fill_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_fill_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_fill_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_fill_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_fill_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_fill_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_fill_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_fill_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_fill_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_fill_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_fill_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_fill_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_fill_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_put_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_put_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_put_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_put_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_put_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_put_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_put_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_put_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_put_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_put_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_put_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_put_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_put_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amax_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amax_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amax_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amax_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amax_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amax_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amax_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amax_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amax_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amin_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amin_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_amin_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_mean_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_mean_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_mean_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_mean_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_mean_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_mean_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_mean_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_mean_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_mean_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_reduce_prod_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_select_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_select_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_select_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_select_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_select_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_select_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_select_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_select_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_select_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_select_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_select_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_select_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_index_select_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_inner_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_inner_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_inner_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_inner_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_inner_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_inner_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_int_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isclose_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isfinite_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isin_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isinf_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isinf_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isinf_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_isinf_cuda_complex32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eigh_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eigh_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eigh_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eigvals_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eigvals_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eigvals_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eigvals_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eigvalsh_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eigvalsh_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eigvalsh_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eigvalsh_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_householder_product_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_householder_product_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_householder_product_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_householder_product_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_ex_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_ex_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_ex_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_inv_ex_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_ex_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_ex_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_ex_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_factor_ex_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_solve_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_solve_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_solve_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_ldl_solve_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_grad_oriented_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_grad_oriented_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_grad_oriented_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lstsq_grad_oriented_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_ex_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_ex_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_ex_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_factor_ex_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_solve_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_solve_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_solve_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_lu_solve_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_power_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_power_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_power_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_power_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_hermitian_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_hermitian_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_hermitian_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_matrix_rank_hermitian_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_multi_dot_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_norm_subgradients_at_zero_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_hermitian_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_hermitian_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_hermitian_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_hermitian_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_singular_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_singular_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_singular_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_pinv_singular_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_qr_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_qr_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_qr_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_qr_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_slogdet_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_slogdet_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_slogdet_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_slogdet_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_ex_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_ex_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_ex_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_ex_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_triangular_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_triangular_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_triangular_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_solve_triangular_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svd_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svd_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svd_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svd_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svdvals_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svdvals_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svdvals_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_svdvals_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorinv_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorinv_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorinv_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorinv_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorsolve_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorsolve_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorsolve_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_tensorsolve_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vander_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vecdot_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_vector_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linspace_tensor_overload_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_log10_cuda_float32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_narrow_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_batch_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_batch_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_batch_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_batch_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_dropout_backward_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_dropout_backward_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_dropout_backward_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_dropout_backward_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_layer_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_layer_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_layer_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_native_layer_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_int32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_empty_cuda_float64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_zeros_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_new_zeros_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nextafter_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nextafter_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nextafter_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nextafter_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cuda_bfloat16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_bilinear_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_bilinear_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_bilinear_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_celu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_celu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_celu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_celu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_channel_shuffle_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv1d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv1d_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv1d_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv1d_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv1d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv1d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv1d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv2d_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv2d_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv2d_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv3d_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv3d_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv3d_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose1d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose1d_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose1d_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose1d_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose1d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose1d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose1d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose2d_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose2d_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose2d_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose3d_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose3d_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose3d_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_conv_transpose3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_embedding_loss_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_similarity_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_similarity_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_similarity_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cosine_similarity_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cross_entropy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cross_entropy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cross_entropy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_cross_entropy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_ctc_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_ctc_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_dropout_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_elu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_elu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_elu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_elu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_bag_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_bag_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_bag_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_bag_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_embedding_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_fractional_max_pool3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gaussian_nll_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gaussian_nll_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gaussian_nll_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gaussian_nll_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gelu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gelu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gelu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_gelu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_glu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_glu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_glu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_glu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_grid_sample_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_grid_sample_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_grid_sample_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_grid_sample_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_group_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_group_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_group_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_group_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardshrink_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardshrink_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardshrink_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardshrink_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardsigmoid_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardsigmoid_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardsigmoid_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardsigmoid_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardswish_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardswish_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardswish_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardswish_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hardtanh_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hinge_embedding_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hinge_embedding_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hinge_embedding_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_hinge_embedding_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_huber_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_huber_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_huber_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_huber_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_instance_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_instance_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_instance_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_instance_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_area_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_area_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_area_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_area_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bicubic_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bicubic_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bicubic_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bicubic_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bilinear_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bilinear_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bilinear_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_bilinear_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_linear_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_linear_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_linear_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_linear_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_nearest_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_trilinear_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_trilinear_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_trilinear_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_interpolate_trilinear_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_kl_div_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_kl_div_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_kl_div_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_kl_div_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_l1_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_l1_loss_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_l1_loss_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_l1_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_l1_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_l1_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_layer_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_layer_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_layer_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_layer_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_leaky_relu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_leaky_relu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_leaky_relu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_leaky_relu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_linear_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_linear_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_linear_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_linear_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_linear_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_linear_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_local_response_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_local_response_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_local_response_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_local_response_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_logsigmoid_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_logsigmoid_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_logsigmoid_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_logsigmoid_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_margin_ranking_loss_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool1d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool1d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool1d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool1d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_pool3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool1d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool1d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool1d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool1d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool1d_grad_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool1d_grad_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool1d_grad_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool1d_grad_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool2d_cuda_float16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool3d_grad_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool3d_grad_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool3d_grad_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool3d_grad_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mish_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mish_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mish_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mish_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mse_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mse_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mse_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_mse_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_head_attention_forward_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_head_attention_forward_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_head_attention_forward_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_head_attention_forward_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_margin_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_margin_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_margin_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multi_margin_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_margin_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_margin_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_margin_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_margin_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_nll_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_nll_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_nll_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_nll_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_normalize_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_normalize_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_normalize_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_normalize_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_normalize_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_normalize_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_one_hot_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_circular_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_constant_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_reflect_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pad_replicate_negative_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pairwise_distance_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pdist_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pdist_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_shuffle_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_pixel_unshuffle_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_poisson_nll_loss_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_prelu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_prelu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_prelu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_prelu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu6_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_relu_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rms_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rms_norm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rms_norm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rms_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rms_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rms_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rrelu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rrelu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rrelu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_rrelu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_selu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_selu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_selu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_selu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_silu_complex_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_silu_complex_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_silu_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_silu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_silu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_silu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_smooth_l1_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_smooth_l1_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_smooth_l1_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_smooth_l1_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_soft_margin_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_soft_margin_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_soft_margin_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_soft_margin_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softmin_with_dtype_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softplus_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softplus_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softplus_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softplus_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softshrink_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softshrink_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softshrink_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softshrink_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_softsign_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_tanhshrink_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_threshold_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_loss_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_unfold_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_unfold_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_unfold_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_unfold_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_unfold_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_unfold_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_unfold_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_bilinear_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_bilinear_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_bilinear_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_bilinear_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_nearest_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_nearest_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_nearest_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_nearest_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_upsample_nearest_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_bfloat16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_int64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rad2deg_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rand_like_cuda_bfloat16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_remainder_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_remainder_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_remainder_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_remainder_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_remainder_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_remainder_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_renorm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_renorm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_renorm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_renorm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_renorm_cuda_float32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_roll_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_roll_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rot90_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rot90_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rot90_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rot90_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rot90_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rot90_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rot90_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rot90_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rot90_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rot90_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rot90_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rot90_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_0_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_0_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_0_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_0_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_3_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_3_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_3_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_3_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_neg_3_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_neg_3_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_neg_3_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_round_decimals_neg_3_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsqrt_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_rsub_cuda_int8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scalar_tensor_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_add_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_cuda_float64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amax_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amax_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amax_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_amin_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_mean_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_prod_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_scatter_reduce_sum_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_searchsorted_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_select_scatter_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sgn_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_short_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_bfloat16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_blackman_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_blackman_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_cosine_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_cosine_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_exponential_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_exponential_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_gaussian_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_gaussian_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_general_cosine_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_general_cosine_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_general_hamming_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_general_hamming_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_hamming_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_hamming_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_hann_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_hann_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_kaiser_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_kaiser_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_nuttall_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_nuttall_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signbit_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_int64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_indices_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_triu_indices_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_true_divide_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_trunc_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unbind_cuda_float64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unique_consecutive_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unique_consecutive_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unique_consecutive_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unique_consecutive_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unique_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unique_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unique_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unique_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unique_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unique_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unique_cuda_int32, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_chunk_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_chunk_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsafe_split_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_complex64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_real_cuda_complex128, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_like_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_get_default_device_cuda, test/test_utils.py::TestDeviceUtilsCUDA::test_get_default_device_more_cuda, test/test_utils.py::TestDeviceUtilsCUDA::test_nn_module_cuda, test/test_utils.py::TestDeviceUtilsCUDA::test_set_default_device_cuda, 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 2025-08-26T21:03:32.2823944Z 2025-08-26T21:03:32.2824140Z Running test_overrides 1/1 ... [2025-08-26 21:03:31.958067] 2025-08-26T21:03:32.2824468Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:03:32.2825233Z Executing ['/opt/conda/envs/py_3.10/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 21:03:31.958622] 2025-08-26T21:03:38.2380734Z 2025-08-26T21:03:38.2382132Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_ba318f872b964585_.log 2025-08-26T21:03:38.3140580Z 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_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, 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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, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_untyped_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_values, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_var, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_where, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_zero_, test/test_overrides.py::TestTorchFunctionOverride::test_base, test/test_overrides.py::TestTorchFunctionOverride::test_dtype_override, test/test_overrides.py::TestTorchFunctionOverride::test_grad, test/test_overrides.py::TestTorchFunctionOverride::test_has_torch_function_non_sequence, test/test_overrides.py::TestTorchFunctionOverride::test_mean_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_mm_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_pow_rpow, test/test_overrides.py::TestTorchFunctionOverride::test_precedence_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_tensor_subclass_propagation, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft2, 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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 2025-08-26T21:03:38.3528681Z 2025-08-26T21:03:38.3528809Z Running test_torch 1/1 ... [2025-08-26 21:03:38.241379] 2025-08-26T21:03:38.3529107Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:03:38.3529825Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torch.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 21:03:38.241941] 2025-08-26T21:05:47.5952932Z 2025-08-26T21:05:47.5953956Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_912022d19876fbca_.log 2025-08-26T21:05:47.6461266Z Running 976 items in this shard: test/test_torch.py::TestBasicVitalSigns::test_basic_vitals, test/test_torch.py::TestBasicVitalSigns::test_basic_vitals_read_write, test/test_torch.py::TestBasicVitalSigns::test_dataloader_vitals, test/test_torch.py::TestTorch::test_RNGState, test/test_torch.py::TestTorch::test_RNGStateAliasing, 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_iter, test/test_torch.py::TestTorch::test_Size_scalar, test/test_torch.py::TestTorch::test_add_meta_scalar, test/test_torch.py::TestTorch::test_allow_tensor_metadata_change, 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_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_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_chunk_neg_dim, 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_dtypes, test/test_torch.py::TestTorch::test_copy_float16, 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_cummax_neg_dim, 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_cxx_flags, 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_deterministic_flag, test/test_torch.py::TestTorch::test_device, test/test_torch.py::TestTorch::test_dim_order, test/test_torch.py::TestTorch::test_dir, test/test_torch.py::TestTorch::test_doc, test/test_torch.py::TestTorch::test_doc_template, test/test_torch.py::TestTorch::test_dot_data_use, test/test_torch.py::TestTorch::test_dtype_is_signed, test/test_torch.py::TestTorch::test_element_size, test/test_torch.py::TestTorch::test_empty_meta, 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_from_buffer, test/test_torch.py::TestTorch::test_from_file, test/test_torch.py::TestTorch::test_gather_neg_dim, test/test_torch.py::TestTorch::test_generator_cpu, 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_index_add_all_dtypes, 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test/test_torch.py::TestTorchDeviceTypeCUDA::test_lazy_clone_view_materialize_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_lazy_clone_view_materialize_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_lazy_clone_view_materialize_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_lazy_clone_view_materialize_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_log_normal_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_log_normal_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_log_normal_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_log_normal_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_logcumsumexp_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_lognormal_kstest_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_bool_tensor_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_bfloat16_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_bfloat16_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_bool_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_bool_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_complex128_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_complex128_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_complex64_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_complex64_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_float16_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_float16_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_float32_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_float32_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_float64_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_float64_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int16_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int16_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int32_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int32_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int64_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int64_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int8_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_int8_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_uint8_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_cuda_uint8_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_fill_mem_overlap_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_bool_tensor_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_inplace_noncontiguous_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_large_tensor_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_scatter_mem_overlap_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_select_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_select_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_select_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_select_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_select_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_select_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_select_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_select_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_select_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_select_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_select_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_select_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_masked_select_discontiguous_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_memory_format_clone_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_memory_format_consistency_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_memory_format_cpu_and_cuda_ops_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_memory_format_empty_like_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_memory_format_factory_like_functions_preserve_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_memory_format_operators_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_memory_format_preserved_after_permute_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_memory_format_propagation_rules_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_memory_format_to_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_memory_format_type_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_memory_format_type_shortcuts_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_module_share_memory_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_multinomial_cpu_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_multinomial_cpu_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_multinomial_cpu_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_multinomial_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_multinomial_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_multinomial_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_multinomial_deterministic_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_multinomial_deterministic_cuda_float32, 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test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_AdaptiveAvgPool3d_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_AdaptiveMaxPool2d_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_AvgPool3d_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_CTCLoss_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_EmbeddingBag_max_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_FractionalMaxPool2d_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_FractionalMaxPool3d_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_MaxPool3d_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_MaxUnpool1d_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_MaxUnpool1d_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_MaxUnpool1d_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_MaxUnpool2d_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_MaxUnpool2d_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_MaxUnpool2d_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_MaxUnpool3d_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_MaxUnpool3d_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_MaxUnpool3d_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_NLLLoss_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_ReflectionPad1d_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_ReflectionPad3d_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_ReplicationPad1d_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_ReplicationPad2d_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_ReplicationPad3d_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_bincount_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_grid_sample_2d_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_grid_sample_3d_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_histc_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_histc_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_interpolate_bicubic_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_alert_interpolate_bilinear_cuda, 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test/test_torch.py::TestTorchDeviceTypeCUDA::test_nondeterministic_resize_quantized_cuda_quint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_normal_kstest_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_normal_kstest_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_normal_kstest_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_normal_kstest_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_nullary_op_mem_overlap_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_pairwise_distance_empty_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_parallel_cow_materialize_error_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_params_invalidated_with_grads_invalidated_and_graph_partition_AdamW_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_params_invalidated_with_grads_invalidated_and_graph_partition_Adam_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_params_invalidated_with_grads_invalidated_and_graph_partition_SGD_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_AdamW_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_Adam_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_SGD_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_pdist_empty_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_pdist_norm_large_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_pickle_gradscaler_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_pin_memory_from_constructor_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_accumulate_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_empty_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_put_mem_overlap_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_reduced_type_float_copy_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_reduced_type_float_copy_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_repeat_interleave_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scalar_check_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_add_bool_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_add_non_unique_index_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_add_one_dim_deterministic_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_add_to_large_input_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_bool_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_mem_overlap_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_multiply_unsupported_dtypes_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_multiply_unsupported_dtypes_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_non_unique_index_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_non_unique_index_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_non_unique_index_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_non_unique_index_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_non_unique_index_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_non_unique_index_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_non_unique_index_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_non_unique_index_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_non_unique_index_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_non_unique_index_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_non_unique_index_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_non_unique_index_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_operations_to_large_input_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_reduce_scalar_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_to_large_input_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_scatter_zero_size_index_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_serialization_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_set_default_tensor_type_warnings_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_set_storage_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_set_storage_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_set_storage_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_set_storage_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_set_storage_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_set_storage_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_set_storage_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_set_storage_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_set_storage_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_set_storage_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_set_storage_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_set_storage_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_shift_mem_overlap_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_skip_xla_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_all_devices_non_blocking_False_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_all_devices_non_blocking_True_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_cuda_uint16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_cuda_uint32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_cuda_uint64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_errors_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_errors_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_errors_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_errors_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_errors_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_errors_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_errors_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_errors_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_errors_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_errors_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_errors_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_errors_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_from_tensor_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_from_tensor_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_from_tensor_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_from_tensor_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_from_tensor_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_from_tensor_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_from_tensor_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_from_tensor_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_from_tensor_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_from_tensor_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_from_tensor_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_from_tensor_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_ok_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_ok_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_ok_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_ok_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_ok_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_ok_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_ok_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_ok_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_ok_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_ok_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_ok_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_meta_ok_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_qint32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_qint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_quint4x2, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_quint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_setitem_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_storage_use_count_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_strides_propagation_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_sync_warning_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_take_empty_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_uint16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_uint32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_uint64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_from_storage_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_set_errors_multigpu_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_shape_empty_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_storage_type_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_tensor_type_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_ternary_op_mem_overlap_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_bool, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_complex128, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_complex64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_int16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_int32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_int64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_int8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_typed_storage_meta_cuda_uint8, test/test_torch.py::TestTorchDeviceTypeCUDA::test_uniform_kstest_cuda_bfloat16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_uniform_kstest_cuda_float16, test/test_torch.py::TestTorchDeviceTypeCUDA::test_uniform_kstest_cuda_float32, test/test_torch.py::TestTorchDeviceTypeCUDA::test_uniform_kstest_cuda_float64, test/test_torch.py::TestTorchDeviceTypeCUDA::test_untyped_storage_meta_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_warn_always_caught_cuda, test/test_torch.py::TestTorchDeviceTypeCUDA::test_where_scalar_handcrafted_values_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_advancedindex_mixed_cpu_devices_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_advancedindex_mixed_devices_error_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_clamp_cuda_float32, test/test_torch.py::TestDevicePrecisionCUDA::test_clamp_cuda_float64, test/test_torch.py::TestDevicePrecisionCUDA::test_clamp_cuda_int64, test/test_torch.py::TestDevicePrecisionCUDA::test_copy_broadcast_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_copy_noncontig_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_cuda_device_idx_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_device_serialization_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_float16, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_float32, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_float64, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_int16, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_int32, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_int64, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_int8, test/test_torch.py::TestDevicePrecisionCUDA::test_from_sequence_cuda_uint8, test/test_torch.py::TestDevicePrecisionCUDA::test_index_add_bfloat16_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_multidevice_serialization_cuda, test/test_torch.py::TestDevicePrecisionCUDA::test_type_conversions_same_device_cuda 2025-08-26T21:05:47.6877091Z 2025-08-26T21:05:47.6877376Z Running test_ci_sanity_check_fail 1/1 ... [2025-08-26 21:05:47.597285] 2025-08-26T21:05:47.6877966Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:05:47.6879312Z Executing ['/opt/conda/envs/py_3.10/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 21:05:47.597658] 2025-08-26T21:06:01.4598086Z Running test_fx 1/1 ... [2025-08-26 21:06:01.459038] 2025-08-26T21:06:01.4598830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:06:01.4603346Z Executing ['/opt/conda/envs/py_3.10/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 21:06:01.459635] 2025-08-26T21:09:12.6164237Z 2025-08-26T21:09:12.6169442Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_12b9416330fbd5c7_.log 2025-08-26T21:09:12.6907593Z Running 1269 items in this shard: test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cuda, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cuda, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cuda, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cuda, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cuda, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cuda, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cuda, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cuda, 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::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_H_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_T_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___getitem___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___radd___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___rdiv___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___rmatmul___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___rmod___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___rmul___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___rpow___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive___rsub___cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__batch_norm_with_update_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__chunk_cat_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__native_batch_norm_legit_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__segment_reduce_lengths_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__segment_reduce_offsets_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__softmax_backward_data_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__unsafe_masked_index_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__unsafe_masked_index_put_accumulate_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive__upsample_bilinear2d_aa_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_abs_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_acos_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_acosh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_add_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_addbmm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_addcdiv_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_addcmul_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_addmm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_addmm_decomposed_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_addmv_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_addr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_alias_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_all_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_allclose_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_amax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_amin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_aminmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_angle_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_any_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_arange_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_argmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_argmin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_argsort_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_argwhere_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_as_strided_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_as_strided_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_as_strided_partial_views_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_as_strided_scatter_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_asin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_asinh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_atan2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_atan_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_atanh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_atleast_1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_atleast_2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_atleast_3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_baddbmm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_bernoulli_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_bfloat16_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_block_diag_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_bmm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_bool_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_broadcast_shapes_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_broadcast_tensors_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_broadcast_to_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_bucketize_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_byte_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cartesian_prod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cat_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cauchy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cdist_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cdouble_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ceil_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cfloat_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_chalf_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_char_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cholesky_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cholesky_inverse_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cholesky_solve_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_chunk_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_clamp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_clamp_max_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_clamp_min_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_clone_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_column_stack_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_combinations_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_complex_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_conj_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_conj_physical_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_constant_pad_nd_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_contiguous_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_copysign_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_corrcoef_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cos_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cosh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_count_nonzero_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cov_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cross_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cummax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cummin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cumprod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cumsum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_cumulative_trapezoid_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_deg2rad_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_diag_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_diag_embed_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_diagflat_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_diagonal_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_diagonal_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_diagonal_scatter_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_diff_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_digamma_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_dist_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_div_floor_rounding_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_div_no_rounding_mode_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_div_trunc_rounding_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_dot_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_double_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_dsplit_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_dstack_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_einsum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_empty_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_empty_like_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_empty_permuted_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_empty_strided_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_eq_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_equal_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_erf_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_erfc_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_erfinv_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_exp2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_exp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_expand_as_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_expand_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_expand_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_expm1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_exponential_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_eye_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_fft2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_fft_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_fftn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_fftshift_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_hfft2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_hfft_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_hfftn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_ifft2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_ifft_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_ifftn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_ifftshift_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_ihfft2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_ihfft_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_ihfftn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_irfft2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_irfft_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_irfftn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_rfft2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_rfft_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fft_rfftn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fill_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_flatten_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_flip_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fliplr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_flipud_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_float_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_float_power_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_floor_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_floor_divide_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fmin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_fmod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_frac_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_frexp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_full_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_full_like_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_gather_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ge_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_geometric_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_geqrf_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_gradient_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_grid_sampler_2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_grid_sampler_3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_gt_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_half_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_hash_tensor_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_heaviside_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_histc_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_hsplit_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_hstack_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_hypot_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_i0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_igamma_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_igammac_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_add_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_fill_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_put_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_reduce_amax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_reduce_amin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_reduce_mean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_reduce_prod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_index_select_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_inner_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_int_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isclose_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isfinite_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isinf_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isnan_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isneginf_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isposinf_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_isreal_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_item_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_jiterator_2inputs_2outputs_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_jiterator_4inputs_with_extra_args_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_jiterator_binary_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_jiterator_binary_return_by_ref_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_jiterator_unary_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_kron_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_kthvalue_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ldexp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_le_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_lerp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_lgamma_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_cholesky_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_cholesky_ex_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_cond_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_cross_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_det_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_diagonal_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_eig_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_eigh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_eigvals_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_eigvalsh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_householder_product_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_inv_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_inv_ex_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_ex_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_ldl_solve_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_lstsq_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_lstsq_grad_oriented_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_lu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_lu_factor_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_lu_factor_ex_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_lu_solve_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_matrix_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_matrix_power_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_hermitian_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_multi_dot_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_norm_subgradients_at_zero_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_pinv_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_pinv_hermitian_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_pinv_singular_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_qr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_slogdet_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_solve_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_solve_ex_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_solve_triangular_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_svd_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_svdvals_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_tensorinv_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_tensorsolve_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_vander_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_vecdot_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linalg_vector_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linspace_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_linspace_tensor_overload_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_log10_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_log1p_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_log2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_log_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_log_normal_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_log_softmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_log_softmax_with_dtype_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logaddexp2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logaddexp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logcumsumexp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logdet_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logical_and_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logical_not_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logical_or_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logical_xor_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logit_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logspace_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logspace_tensor_overload_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_logsumexp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_long_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_lt_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_lu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_lu_solve_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_lu_unpack_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mH_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mT_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_amax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_amin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_argmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_argmin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_cumprod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_cumsum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_fill_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_log_softmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_logaddexp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_logsumexp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_mean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_median_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_normalize_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_prod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_scatter_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_select_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_softmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_softmin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_std_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_sum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_masked_var_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_matmul_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_matrix_exp_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_max_binary_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_max_pool2d_with_indices_backward_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_max_reduction_no_dim_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_max_reduction_with_dim_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_maximum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_median_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_meshgrid_list_of_tensors_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_meshgrid_variadic_tensors_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_min_binary_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_min_reduction_no_dim_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_min_reduction_with_dim_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_minimum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mode_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_movedim_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_msort_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mul_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_multinomial_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mv_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_3_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_5_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nan_to_num_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nanmean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nanmedian_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nanquantile_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nansum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_narrow_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_narrow_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_native_batch_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_native_dropout_backward_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_native_layer_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ne_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_neg_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_new_empty_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_new_empty_strided_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_new_full_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_new_ones_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_new_zeros_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nextafter_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_alpha_dropout_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_without_cudnn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_bilinear_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_with_logits_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_celu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_channel_shuffle_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_conv1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_conv2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_conv3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_cosine_embedding_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_cosine_similarity_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_cross_entropy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_ctc_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_dropout2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_dropout3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_dropout_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_elu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_embedding_bag_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_embedding_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_with_train_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_without_train_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_gaussian_nll_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_gelu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_glu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_grid_sample_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_group_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_hardshrink_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_hardsigmoid_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_hardswish_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_hardtanh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_hinge_embedding_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_huber_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_instance_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_area_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bicubic_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bilinear_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_linear_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest-exact_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_trilinear_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_kl_div_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_l1_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_layer_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_leaky_relu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_linear_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_local_response_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_logsigmoid_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_margin_ranking_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_pool1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_pool2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_pool3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_grad_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_grad_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_grad_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_mish_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_mse_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_multi_head_attention_forward_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_multi_margin_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_margin_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_soft_margin_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_nll_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_normalize_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pad_circular_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pad_constant_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pad_reflect_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_negative_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pairwise_distance_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pdist_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pixel_shuffle_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_pixel_unshuffle_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_poisson_nll_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_prelu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_relu6_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_relu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_rms_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_rrelu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_selu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_silu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_smooth_l1_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_soft_margin_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_softmin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_softmin_with_dtype_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_softplus_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_softshrink_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_softsign_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_tanhshrink_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_threshold_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_with_distance_loss_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_unfold_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_upsample_bilinear_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nn_functional_upsample_nearest_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nonzero_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_nonzero_static_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_norm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_norm_fro_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_norm_inf_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_norm_nuc_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_normal_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_normal_in_place_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_normal_number_mean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ones_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ones_like_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ormqr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_outer_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_pca_lowrank_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_permute_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_permute_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_pinverse_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_polar_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_2_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_3_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_4_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_positive_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_pow_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_prod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_put_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_qr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_quantile_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_rad2deg_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_rand_like_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_randint_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_randint_like_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_randn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_randn_like_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_ravel_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_real_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_reciprocal_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_remainder_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_renorm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_repeat_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_repeat_interleave_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_reshape_as_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_reshape_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_resize__cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_resize_as__cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_resolve_conj_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_resolve_neg_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_roll_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_rot90_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_round_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_round_decimals_0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_round_decimals_3_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_round_decimals_neg_3_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_rsqrt_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_rsub_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scalar_tensor_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scatter_add_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scatter_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scatter_reduce_amax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scatter_reduce_amin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scatter_reduce_mean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scatter_reduce_prod_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_scatter_reduce_sum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_searchsorted_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_select_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_select_scatter_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sgn_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_short_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sigmoid_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sign_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_bartlett_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_blackman_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_cosine_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_exponential_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_gaussian_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_general_cosine_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_general_hamming_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_hamming_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_hann_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_kaiser_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signal_windows_nuttall_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_signbit_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sin_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sinc_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sinh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_slice_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_slice_scatter_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_softmax_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_softmax_with_dtype_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sort_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sparse_mm_reduce_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sparse_sampled_addmm_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_airy_ai_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_bessel_j0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_bessel_j1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_bessel_y0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_bessel_y1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_t_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_u_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_v_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_w_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_entr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_erfcx_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_h_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_he_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_i0e_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_i1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_i1e_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_laguerre_polynomial_l_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_legendre_polynomial_p_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_log_ndtr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_modified_bessel_i0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_modified_bessel_i1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_modified_bessel_k0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_modified_bessel_k1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_ndtr_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_ndtri_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k1_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_u_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_v_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_w_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_spherical_bessel_j0_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_xlog1py_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_special_zeta_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_split_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_split_list_args_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_split_with_sizes_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_split_with_sizes_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sqrt_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_square_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_squeeze_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_squeeze_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_squeeze_multiple_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_stack_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_std_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_std_mean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_std_mean_unbiased_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_std_unbiased_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_stft_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sub_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sum_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_sum_to_size_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_svd_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_svd_lowrank_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_t_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_t_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_take_along_dim_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_take_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_tan_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_tanh_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_tensor_split_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_tensordot_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_tile_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_to_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_to_sparse_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_topk_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_torch_ops_aten__efficient_attention_forward_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_torch_ops_aten__safe_softmax_default_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_trace_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_transpose_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_transpose_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_trapezoid_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_trapz_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_triangular_solve_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_tril_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_triu_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_true_divide_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_trunc_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unbind_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unbind_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unflatten_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unfold_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unfold_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_uniform_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unique_consecutive_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unique_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unsafe_chunk_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unsafe_split_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unsqueeze_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_unsqueeze_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_var_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_var_mean_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_var_mean_unbiased_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_var_unbiased_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_vdot_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_view_as_complex_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_view_as_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_view_copy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_view_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_vsplit_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_vstack_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_where_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_xlogy_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_zero__cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_zeros_cuda_float32, test/test_fx.py::TestOperatorSignaturesCUDA::test_get_torch_func_signature_exhaustive_zeros_like_cuda_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, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet169, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet201, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_320_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fcos_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_keypointrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_resnet50_fpn_v2, 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test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_l, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_m, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_googlenet, test/test_fx.py::TestVisionTracing::test_torchvision_models_inception_v3, test/test_fx.py::TestVisionTracing::test_torchvision_models_maxvit_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet0_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet0_75, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet1_3, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v3_small, 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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 2025-08-26T21:09:12.7288569Z 2025-08-26T21:09:12.7288777Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading 2025-08-26T21:09:12.7289136Z Uploading artifacts took 0.00 seconds 2025-08-26T21:09:12.7289599Z Running test_reductions 1/1 ... [2025-08-26 21:09:12.619702] 2025-08-26T21:09:12.7289897Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:09:12.7290624Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_reductions.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 21:09:12.620233] 2025-08-26T21:11:09.4942730Z 2025-08-26T21:11:09.4943835Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_36e167e38bdf0f1e_.log 2025-08-26T21:11:09.6144386Z Running 4755 items in this shard: test/test_reductions.py::TestReductionsCUDA::test_accreal_type_cuda, test/test_reductions.py::TestReductionsCUDA::test_all_any_cuda, test/test_reductions.py::TestReductionsCUDA::test_all_any_empty_cuda, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_bool, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_int16, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_int8, test/test_reductions.py::TestReductionsCUDA::test_all_any_vs_numpy_cuda_uint8, test/test_reductions.py::TestReductionsCUDA::test_all_any_with_dim_cuda, test/test_reductions.py::TestReductionsCUDA::test_all_issue117215_cuda, test/test_reductions.py::TestReductionsCUDA::test_amax_cuda_bool, test/test_reductions.py::TestReductionsCUDA::test_amax_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_amax_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_amax_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_amax_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_amin_amax_some_dims_cuda, 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test/test_reductions.py::TestReductionsCUDA::test_var_mean_some_dims_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_stability2_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_stability_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_unbiased_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_vs_numpy_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_var_vs_numpy_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_var_vs_numpy_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_var_vs_numpy_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_warn_invalid_degrees_of_freedom_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_warn_invalid_degrees_of_freedom_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_warn_invalid_degrees_of_freedom_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_warn_invalid_degrees_of_freedom_cuda_float64 2025-08-26T21:11:09.7298389Z 2025-08-26T21:11:09.7298508Z Running test_nn 1/1 ... [2025-08-26 21:11:09.500917] 2025-08-26T21:11:09.7298784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:11:09.7299482Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nn.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 21:11:09.501341] 2025-08-26T21:16:45.8877438Z 2025-08-26T21:16:45.8878573Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_e37ce4c23be40ff1_.log 2025-08-26T21:16:45.9769638Z Running 2253 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none, 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_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum, 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_cuda, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double, 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_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_cuda, 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_lengthchecks_cpu, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cuda, test/test_nn.py::TestNN::test_CTCLoss_long_targets, test/test_nn.py::TestNN::test_CTCLoss_typechecks, test/test_nn.py::TestNN::test_CTCLoss_zero_infinity, test/test_nn.py::TestNN::test_CTCLoss_zero_lengths, test/test_nn.py::TestNN::test_Conv1d, 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_dilated, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_groups_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same, test/test_nn.py::TestNN::test_Conv1d_pad_same2, 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_pad_valid, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_stride, test/test_nn.py::TestNN::test_Conv1d_stride_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda, 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_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, 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_cuda, 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, 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_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_valid, 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_cuda, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, 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_cuda, 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, 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_Conv2d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, 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, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias, 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_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_valid, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, 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_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor, 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_stride_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch, 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_Conv3d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_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, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, 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_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_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_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda, 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, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_CrossMapLRN2d, test/test_nn.py::TestNN::test_CrossMapLRN2d_cuda, test/test_nn.py::TestNN::test_ELU_no_batch_dim, 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, test/test_nn.py::TestNN::test_EmbeddingBag_max_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx, 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_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse, test/test_nn.py::TestNN::test_EmbeddingBag_sparse_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum, test/test_nn.py::TestNN::test_EmbeddingBag_sum_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx_cuda, test/test_nn.py::TestNN::test_Embedding_cuda, test/test_nn.py::TestNN::test_Embedding_discontiguous, test/test_nn.py::TestNN::test_Embedding_discontiguous_cuda, test/test_nn.py::TestNN::test_Embedding_sparse, test/test_nn.py::TestNN::test_Embedding_sparse_cuda, test/test_nn.py::TestNN::test_Flatten, test/test_nn.py::TestNN::test_Flatten_cuda, test/test_nn.py::TestNN::test_Flatten_no_batch_dim, test/test_nn.py::TestNN::test_Flatten_no_batch_dim_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_Fold_no_batch_dim_int_input_cuda, test/test_nn.py::TestNN::test_GELU_no_batch_dim, 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_GLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim, test/test_nn.py::TestNN::test_Hardswish_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_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, 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_HingeEmbeddingLoss_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_HuberLoss_delta, test/test_nn.py::TestNN::test_HuberLoss_delta_cuda, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_float, 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_none_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_double, 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_batch_mean, 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_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none, 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_none_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_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target, 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_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean, 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_float, 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_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_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_LSTM_cell, test/test_nn.py::TestNN::test_LSTM_cell_forward_hidden_size, test/test_nn.py::TestNN::test_LSTM_cell_forward_input_size, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature, 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_LayerNorm_3d_no_affine_large_feature_eval_cuda, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim_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_batch_dim_cuda, 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, 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_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_double, 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, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_double, 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, test/test_nn.py::TestNN::test_MSELoss_no_reduce_cuda, 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_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_float, 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_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum, 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_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MaxUnpool1d_net, 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_MaxUnpool1d_net_no_batch_dim_cuda, 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, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net, test/test_nn.py::TestNN::test_MaxUnpool3d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Mish_no_batch_dim, test/test_nn.py::TestNN::test_Mish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ModuleDict, test/test_nn.py::TestNN::test_ModuleList, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce, 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_index_neg_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, 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_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce, 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_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, 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_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce, 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_no_reduce_cuda, 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_MultiMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_reduce, 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_NLLLoss_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_nn.py::TestNN::test_PReLU_backward_requires_grad_false, test/test_nn.py::TestNN::test_PReLU_no_batch_dim, 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_broadcast_lhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs_cuda, 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_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args_cuda, test/test_nn.py::TestNN::test_ParameterDict, test/test_nn.py::TestNN::test_ParameterDict_replication, test/test_nn.py::TestNN::test_ParameterList, 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_PixelUnshuffle, test/test_nn.py::TestNN::test_PixelUnshuffle_cuda, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none, 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_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_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, 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_cell_forward_zero_hidden_size, test/test_nn.py::TestNN::test_RNN_cell_no_broadcasting, test/test_nn.py::TestNN::test_RNN_change_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_no_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_with_dropout, test/test_nn.py::TestNN::test_RNN_cudnn_weight_norm, test/test_nn.py::TestNN::test_RNN_dropout, 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_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_cuda, test/test_nn.py::TestNN::test_RReLU_no_batch_dim, test/test_nn.py::TestNN::test_RReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down, test/test_nn.py::TestNN::test_RReLU_with_up_down_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar_cuda, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReLU_no_batch_dim, test/test_nn.py::TestNN::test_ReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d, test/test_nn.py::TestNN::test_ReplicationPad3d_complex, test/test_nn.py::TestNN::test_ReplicationPad3d_complex_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim, test/test_nn.py::TestNN::test_ReplicationPad3d_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_delitem, test/test_nn.py::TestNN::test_Sequential_extend, test/test_nn.py::TestNN::test_Sequential_getitem, test/test_nn.py::TestNN::test_Sequential_iadd, test/test_nn.py::TestNN::test_Sequential_imul, test/test_nn.py::TestNN::test_Sequential_insert, test/test_nn.py::TestNN::test_Sequential_insert_fail_case, test/test_nn.py::TestNN::test_Sequential_mul, test/test_nn.py::TestNN::test_Sequential_pop, test/test_nn.py::TestNN::test_Sequential_rmul, test/test_nn.py::TestNN::test_Sequential_setitem, test/test_nn.py::TestNN::test_Sequential_setitem_named, test/test_nn.py::TestNN::test_SiLU_no_batch_dim, 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_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_beta_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean, 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_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_half, 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_none_cuda_float, 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_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_float, 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_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_SmoothL1Loss_zero_beta_cuda, 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_mean_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_double, 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, 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_batch_dim_sum_cuda_half, 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_Softplus_no_batch_dim, test/test_nn.py::TestNN::test_Softplus_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim_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_Tanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim_cuda, 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_TransformerDecoderLayer_gelu_activation, 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_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_Transformer_cell, test/test_nn.py::TestNN::test_Transformer_multilayer_coder, 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_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_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_TripletMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Unfold, test/test_nn.py::TestNN::test_Unfold_cuda, test/test_nn.py::TestNN::test_Unfold_int_input, test/test_nn.py::TestNN::test_Unfold_int_input_cuda, test/test_nn.py::TestNN::test_adaptive_log_softmax, 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, test/test_nn.py::TestNN::test_affine_grid_3d, 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_affine_grid_backward_cl_cf_consistency_device_cuda_nd_2, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cuda_nd_3, test/test_nn.py::TestNN::test_affine_grid_error_checking, test/test_nn.py::TestNN::test_assignment, 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_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_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_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_bfloat16, 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_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_bfloat16, 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_3D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_float16, 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_3D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_buffer_update_when_stats_are_not_tracked, test/test_nn.py::TestNN::test_batchnorm_cudnn_half, test/test_nn.py::TestNN::test_batchnorm_cudnn_nhwc, test/test_nn.py::TestNN::test_batchnorm_half_overflow, test/test_nn.py::TestNN::test_batchnorm_load_state_dict, test/test_nn.py::TestNN::test_batchnorm_nhwc_cpu, test/test_nn.py::TestNN::test_batchnorm_nhwc_cuda, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_BatchNorm2d, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_SyncBatchNorm, test/test_nn.py::TestNN::test_batchnorm_nonaffine_cuda_half_input, 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_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_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad, 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_always_nonnegative, test/test_nn.py::TestNN::test_bce_loss_broadcasts_weights, test/test_nn.py::TestNN::test_bce_loss_input_range, test/test_nn.py::TestNN::test_bce_loss_size_mismatch, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_pos_weights, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_weights, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss, 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_has_correct_forward_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none, test/test_nn.py::TestNN::test_bce_with_logits_raises_if_target_and_input_are_different_size, 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, test/test_nn.py::TestNN::test_bilinear_broadcasting, test/test_nn.py::TestNN::test_bilinear_no_bias, test/test_nn.py::TestNN::test_bilinear_non_contiguous, test/test_nn.py::TestNN::test_bilinear_value_error, test/test_nn.py::TestNN::test_broadcast_double_backwards_gpu, test/test_nn.py::TestNN::test_broadcast_no_grad, test/test_nn.py::TestNN::test_broadcast_not_requiring_grad, 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_del, test/test_nn.py::TestNN::test_buffer_not_persistent_load, test/test_nn.py::TestNN::test_buffer_not_persistent_overwrite, test/test_nn.py::TestNN::test_buffers_and_named_buffers, test/test_nn.py::TestNN::test_call_supports_python_dict_output, test/test_nn.py::TestNN::test_channel_shuffle_input_checks, test/test_nn.py::TestNN::test_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_children, test/test_nn.py::TestNN::test_container_copy, test/test_nn.py::TestNN::test_convert_sync_batchnorm, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_diff_shapes, 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_embedding_loss_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_with_diff_type, test/test_nn.py::TestNN::test_cosine_similarity, test/test_nn.py::TestNN::test_cross_entropy_loss, test/test_nn.py::TestNN::test_cross_entropy_loss_precision, test/test_nn.py::TestNN::test_cross_entropy_loss_zero_div, 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_format, test/test_nn.py::TestNN::test_cudnn_weight_tying, test/test_nn.py::TestNN::test_dir, test/test_nn.py::TestNN::test_dir_digit, test/test_nn.py::TestNN::test_elu_inplace_gradgrad, test/test_nn.py::TestNN::test_elu_inplace_on_view, test/test_nn.py::TestNN::test_error_RNN_seq_len_zero, test/test_nn.py::TestNN::test_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_get_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_fb_fc_packed, test/test_nn.py::TestNN::test_flatten, test/test_nn.py::TestNN::test_fold_invalid_arg, test/test_nn.py::TestNN::test_fractional_max_pool2d_invalid_output_ratio, test/test_nn.py::TestNN::test_gaussian_nll_loss_args, test/test_nn.py::TestNN::test_gaussian_nll_loss_broadcasting, test/test_nn.py::TestNN::test_gaussian_nll_loss_scalar_var, test/test_nn.py::TestNN::test_get_buffer, test/test_nn.py::TestNN::test_get_buffer_from_submodules, test/test_nn.py::TestNN::test_getattr_with_property, test/test_nn.py::TestNN::test_grid_sample, test/test_nn.py::TestNN::test_grid_sample_3d, 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_hardtanh_inplace_gradgrad, test/test_nn.py::TestNN::test_huber_loss_invalid_delta, 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_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d, 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_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_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_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d_cuda, 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, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners_cuda, 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_illegal_memory_access, test/test_nn.py::TestNN::test_interpolate_linear_1d, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d_cuda, 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_1d_zero_dim_cuda, 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_2d_launch_configs_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim_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_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d, 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_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, test/test_nn.py::TestNN::test_interpolate_trilinear_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_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_cuda, 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_kl_div_with_diff_type, test/test_nn.py::TestNN::test_kl_div_with_diff_type_log_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_layer_norm_eps, test/test_nn.py::TestNN::test_layer_norm_grads_with_create_graph_flag, test/test_nn.py::TestNN::test_layer_norm_large_tensor, 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_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSC, 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_linear_autograd_device_cuda_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cuda_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cuda_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cuda_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cuda_nobias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cuda_nobias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cuda_nobias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cuda_nobias_weightStrided, test/test_nn.py::TestNN::test_linear_broadcasting, test/test_nn.py::TestNN::test_linear_raise_on_scalar_input, 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, test/test_nn.py::TestNN::test_log_softmax_dim3_cuda, 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_log_softmax_scalar, 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_log_softmax_spatial_special, test/test_nn.py::TestNN::test_log_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_loss_equal_input_target_shape, test/test_nn.py::TestNN::test_margin_ranking_loss_margin_no_reduce, test/test_nn.py::TestNN::test_margin_ranking_loss_no_reduce, test/test_nn.py::TestNN::test_max_pool1d_invalid_output_size, test/test_nn.py::TestNN::test_module_apply_inplace_op, test/test_nn.py::TestNN::test_module_backcompat, test/test_nn.py::TestNN::test_module_super_init, test/test_nn.py::TestNN::test_module_to_argparse, test/test_nn.py::TestNN::test_modules, test/test_nn.py::TestNN::test_mse_loss_size_warning, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_nn.py::TestNN::test_named_children, test/test_nn.py::TestNN::test_named_modules, test/test_nn.py::TestNN::test_named_parameters_remove_duplicate, test/test_nn.py::TestNN::test_native_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_nested_tensor_from_mask, test/test_nn.py::TestNN::test_nested_tensor_from_mask_error, test/test_nn.py::TestNN::test_no_grad, test/test_nn.py::TestNN::test_non_leaf_parameters, test/test_nn.py::TestNN::test_normalize, test/test_nn.py::TestNN::test_overwrite_module_params_on_conversion, test/test_nn.py::TestNN::test_pack_sequence_batch_sizes_throw, test/test_nn.py::TestNN::test_pad_scalar_error, test/test_nn.py::TestNN::test_padding_list, test/test_nn.py::TestNN::test_pairwise_distance, test/test_nn.py::TestNN::test_parameter_assignment, test/test_nn.py::TestNN::test_parameterlistdict_pickle, 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_parse_to, test/test_nn.py::TestNN::test_partial_flat_weights, test/test_nn.py::TestNN::test_pdist, 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_empty_col, test/test_nn.py::TestNN::test_pdist_empty_row, 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_nhwc_cpu, test/test_nn.py::TestNN::test_pixel_shuffle_unshuffle, test/test_nn.py::TestNN::test_pointwise_loss_broadcast, test/test_nn.py::TestNN::test_pointwise_loss_target_grad_none_reduction, test/test_nn.py::TestNN::test_projections_errors_on_gru_and_rnn, test/test_nn.py::TestNN::test_projections_lstm_args_check, test/test_nn.py::TestNN::test_projections_lstm_check_device, 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_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_name_is_not_string, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_not_tensor, test/test_nn.py::TestNN::test_register_parameter_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_relu_inplace_on_view, test/test_nn.py::TestNN::test_repr, test/test_nn.py::TestNN::test_requires_grad_, test/test_nn.py::TestNN::test_rnn_args_check, test/test_nn.py::TestNN::test_rnn_check_device, test/test_nn.py::TestNN::test_rnn_initial_hidden_state, test/test_nn.py::TestNN::test_rnn_weight_norm, 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_dim0, test/test_nn.py::TestNN::test_softmax_functional_dim0_cuda, 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_functional_scalar_cuda, test/test_nn.py::TestNN::test_softmax_lastdim, test/test_nn.py::TestNN::test_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_dtype, test/test_nn.py::TestNN::test_softmax_lastdim_dtype_cuda, 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_dtype, 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_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_load_state_dict, test/test_nn.py::TestNN::test_spectral_norm_pickle, 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_sync_batchnorm_backward_elemt, test/test_nn.py::TestNN::test_threshold_bfloat16_half, test/test_nn.py::TestNN::test_threshold_int, test/test_nn.py::TestNN::test_to, 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_transformer_layer_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, test/test_nn.py::TestNN::test_triplet_margin_loss_no_reduce, test/test_nn.py::TestNN::test_triplet_margin_loss_swap, test/test_nn.py::TestNN::test_triplet_margin_loss_swap_no_reduce, test/test_nn.py::TestNN::test_type, test/test_nn.py::TestNN::test_unflatten, 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_upsamplingLinear1d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingTrilinear3d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_bfloat16, test/test_nn.py::TestNN::test_upsampling_not_recompute_scale_factor, test/test_nn.py::TestNN::test_upsampling_small_scale, test/test_nn.py::TestNN::test_vector_to_parameters, test/test_nn.py::TestNN::test_weight_norm, test/test_nn.py::TestNN::test_weight_norm_pickle, 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::TestNN::test_zero_grad, test/test_nn.py::TestFusionEval::test_fuse_module_eval_numerics, test/test_nn.py::TestConstantPadNd::test_constant_pad_nd, test/test_nn.py::TestConstantPadNd::test_preserves_memory_format, test/test_nn.py::TestAddRelu::test_add_relu, test/test_nn.py::TestAddRelu::test_add_relu_broadcasting, test/test_nn.py::TestFunctionalPickle::test_pickle_softsign, test/test_nn.py::TestFusionUtils::test_fuse_conv_bn_requires_grad, test/test_nn.py::TestFusionUtils::test_fuse_linear_bn_requires_grad, test/test_nn.py::TestUtils::test_consume_prefix_in_state_dict_if_present, test/test_nn.py::TestNNDeviceTypeCUDA::test_BatchNorm_empty_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_Bilinear_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_cudnn_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_empty_target_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_GRU_grad_and_gradgrad_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_GroupNorm_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_GroupNorm_general_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_GroupNorm_memory_format_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_GroupNorm_numeric_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_GroupNorm_raises_error_if_one_value_per_group_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_InstanceNorm1d_general_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_InstanceNorm2d_general_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_InstanceNorm3d_general_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_LSTM_differentiable_backward_using_oneDNN_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_LSTM_differentiable_backward_using_oneDNN_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_LSTM_grad_and_gradgrad_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_LayerNorm_general_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_LayerNorm_numeric_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_LocalResponseNorm_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_MarginLoss_empty_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_MarginLoss_empty_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_MarginLoss_race_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_MarginLoss_race_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_MarginLoss_warnings_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReflectionPad2d_large_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReflectionPad2d_large_deterministic_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReflectionPad3d_large_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReflectionPad_empty_cuda_complex64, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReflectionPad_empty_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReflectionPad_fails_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReplicationPad1d_large_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReplicationPad2d_large_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReplicationPad3d_large_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReplicationPad_empty_cuda_complex128, test/test_nn.py::TestNNDeviceTypeCUDA::test_ReplicationPad_empty_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_TransformerDecoderLayer_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_TransformerDecoder_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_TransformerEncoderLayer_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_TransformerEncoder_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_Transformer_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_Unfold_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_activations_bfloat16_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_activations_bfloat16_half_cpu_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_activations_bfloat16_half_cpu_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_adaptiveavg_pool1d_shmem_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_affine_2d_rotate0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_affine_2d_rotate45_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_affine_2d_rotate90_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_affine_2d_rotateRandom_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_affine_3d_rotateRandom_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_avg_pool_large_tensor2_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_avg_pool_large_tensor_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_affine_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_affine_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_affine_mixed_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_affine_mixed_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_eval_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_eval_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_eval_mixed_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_eval_mixed_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_grad_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_large_batch_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_large_batch_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_simple_average_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_simple_average_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_simple_average_mixed_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_simple_average_mixed_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_batchnorm_update_stats_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_channel_shuffle_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_error_if_nonfinite_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_False_norm_type_0_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_False_norm_type_1_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_False_norm_type_2_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_False_norm_type_4_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_False_norm_type_inf_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_True_norm_type_0_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_True_norm_type_1_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_True_norm_type_2_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_True_norm_type_4_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_foreach_True_norm_type_inf_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_multi_device_foreach_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_norm_multi_device_foreach_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_value_foreach_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_clip_grad_value_foreach_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_conv_empty_input_cuda_complex128, test/test_nn.py::TestNNDeviceTypeCUDA::test_conv_empty_input_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_conv_empty_input_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_conv_empty_input_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_64bit_reduction_mean_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_64bit_reduction_none_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_64bit_reduction_sum_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_label_smoothing_errors_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_label_smoothing_weight_ignore_indices_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_label_smoothing_with_probs_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_large_tensor_reduction_mean_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_large_tensor_reduction_none_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_large_tensor_reduction_sum_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_2d_out_of_bounds_class_index_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_2d_out_of_bounds_class_index_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_index_target_unit_weights_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_one_hot_target_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_all_reductions_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_cross_entropy_loss_prob_target_unit_weights_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ctc_loss_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ctc_loss_cudnn_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ctc_loss_cudnn_tensor_cpu_length_cuda_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ctc_loss_cudnn_tensor_cuda_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_ctc_loss_error_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_device_mask_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_elu_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_elu_inplace_with_neg_alpha_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_fold_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_glu_bfloat16_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_bfloat16_precision_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_half_precision_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_large_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_large_index_2d_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_large_index_2d_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_large_index_3d_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_large_index_3d_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_nan_inf_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_grid_sample_nan_inf_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_groupnorm_nhwc_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_groupnorm_nhwc_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_groupnorm_nhwc_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_groupnorm_nhwc_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_gumbel_softmax_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_gumbel_softmax_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_gumbel_softmax_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_hardsigmoid_grad_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_hardswish_grad_corner_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_hardswish_grad_corner_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_hardswish_grad_corner_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_hardswish_grad_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_hardswish_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_for_single_spatial_element_during_training_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_instancenorm_raises_error_if_less_than_one_value_per_channel_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_invalid_reduction_strings_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_layernorm_half_precision_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_layernorm_weight_bias_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_leaky_relu_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_leaky_relu_inplace_with_neg_slope_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_leaky_relu_inplace_with_zero_slope_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_linear_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_log_softmax_big_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_log_softmax_big_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_log_softmax_cpu_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_log_softmax_cpu_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_logsigmoid_out_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_lstmcell_backward_only_one_output_grad_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_TxT_layout_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_devices_parity_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_forward_with_nans_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_grad_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_lowp_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_lowp_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_mask_types_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_masked_softmax_transformer_layout_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_mish_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_module_to_empty_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_module_to_empty_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_module_to_empty_non_recursive_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_mse_loss_error_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_all_ignored_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_byte_target_matches_long_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_empty_tensor_reduction_mean_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_empty_tensor_reduction_none_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_empty_tensor_reduction_sum_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_invalid_target_dim_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_invalid_weights_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_large_tensor_reduction_mean_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_large_tensor_reduction_none_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_large_tensor_reduction_sum_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_mismatched_batch_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_out_of_bounds_ignore_index_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nll_loss_total_weight_is_zero_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nn_empty_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nn_scalars_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nn_scalars_reductions_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_nonlinearity_propagate_nan_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_one_hot_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_overwrite_module_params_on_conversion_cpu_device_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_pad_cuda_complex128, test/test_nn.py::TestNNDeviceTypeCUDA::test_pad_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_prelu_backward_32bit_indexing_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_replicatepad_64bit_indexing_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_rmsnorm_epsilon_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_rmsnorm_epsilon_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_rmsnorm_epsilon_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_rmsnorm_epsilon_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_rmsnorm_numeric_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_rmsnorm_numeric_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_rnn_fused_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_rnn_fused_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_rnn_retain_variables_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_rnn_retain_variables_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_rnn_retain_variables_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_save_lstm_compatibility_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_silu_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_skip_init_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_smooth_l1_loss_bfloat16_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_smooth_l1_loss_vs_huber_loss_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_smoothl1loss_backward_zero_beta_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_64bit_indexing_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_backward_64bit_indexing_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_backward_smem_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_backward_unaligned_grad_output_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_backward_unaligned_output_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_backward_without_fully_vectorized_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_bfloat16_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_cpu_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_cpu_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_double_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_forward_64bit_indexing_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_results_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_softmax_results_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_softplus_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softplus_low_threshold_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softshrink_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softshrink_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_softshrink_negative_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_threshold_inplace_overlap_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_to_complex_cuda_complex128, test/test_nn.py::TestNNDeviceTypeCUDA::test_to_complex_cuda_complex64, test/test_nn.py::TestNNDeviceTypeCUDA::test_to_complex_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_transformerencoderlayer_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_transformerencoderlayer_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_transformerencoderlayer_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_transformerencoderlayer_fast_path_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_transformerencoderlayer_gelu_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_transformerencoderlayer_gelu_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_triplet_margin_with_distance_loss_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_triplet_margin_with_distance_loss_default_parity_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_sliced_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_False_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_restrided_batch_size_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_5_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::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_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float32_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float64_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_cuda_int16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int32_cuda_int32, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int64_cuda_int64, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_cuda_int8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_cuda_uint8, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBicubic2d_aa_correctness_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBicubic2d_aa_correctness_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBicubic2d_correctness_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBilinear2d_aa_correctness_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingBilinear2d_aa_correctness_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest1d_correctness_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest1d_correctness_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest1d_launch_config_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest1d_mode_nearest-exact_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest1d_mode_nearest_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_launch_config_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_launch_fail_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_launch_rocm_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_memory_format0_mode_nearest_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest2d_memory_format1_mode_nearest_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_launch_config_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_memory_format0_mode_nearest_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearest3d_memory_format1_mode_nearest_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact1d_rescale_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingTrilinear3d_align_corners_False_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingTrilinear3d_align_corners_False_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingTrilinear3d_align_corners_True_memory_format0_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingTrilinear3d_align_corners_True_memory_format1_cuda, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsampling_64bit_indexing_channels_last_cuda_bfloat16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsampling_64bit_indexing_channels_last_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_upsamplingnearest2d_backward_64bit_indexing_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_variable_sequence_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_variable_sequence_cuda_float32, test/test_nn.py::TestNNDeviceTypeCUDA::test_variable_sequence_cuda_float64, test/test_nn.py::TestNNDeviceTypeCUDA::test_warp_softmax_64bit_indexing_cuda_float16, test/test_nn.py::TestNNDeviceTypeCUDA::test_warp_softmax_64bit_indexing_cuda_float32 2025-08-26T21:16:46.0535445Z 2025-08-26T21:16:46.0535585Z Running test_openreg 1/1 ... [2025-08-26 21:16:45.891516] 2025-08-26T21:16:47.3593034Z -- The CXX compiler identification is GNU 11.4.0 2025-08-26T21:16:47.4430476Z -- The C compiler identification is GNU 11.4.0 2025-08-26T21:16:47.4733801Z -- Detecting CXX compiler ABI info 2025-08-26T21:16:47.6892564Z -- Detecting CXX compiler ABI info - done 2025-08-26T21:16:47.7129816Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-08-26T21:16:47.7135973Z -- Detecting CXX compile features 2025-08-26T21:16:47.7143135Z -- Detecting CXX compile features - done 2025-08-26T21:16:47.7294258Z -- Detecting C compiler ABI info 2025-08-26T21:16:47.9203819Z -- Detecting C compiler ABI info - done 2025-08-26T21:16:47.9352087Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-08-26T21:16:47.9355608Z -- Detecting C compile features 2025-08-26T21:16:47.9359182Z -- Detecting C compile features - done 2025-08-26T21:16:48.0443701Z Building PyTorch for GPU arch: gfx90a;gfx942 2025-08-26T21:16:48.1439273Z -- Found HIP: /opt/rocm (found suitable version "6.4.43484-123eb5128", minimum required is "1.0") 2025-08-26T21:16:48.1442126Z HIP VERSION: 6.4.43484-123eb5128 2025-08-26T21:16:48.2712809Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-08-26T21:16:48.4803379Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-08-26T21:16:48.4814255Z -- Found Threads: TRUE 2025-08-26T21:16:48.5105931Z hip VERSION: 6.4.43484 2025-08-26T21:16:48.5127002Z -- Reading ROCM version from: /opt/rocm/include/rocm-core/rocm_version.h 2025-08-26T21:16:48.5127625Z -- Content: 2025-08-26T21:16:48.5129587Z  2025-08-26T21:16:48.5129909Z ***** ROCm version from rocm_version.h **** 2025-08-26T21:16:48.5130348Z  2025-08-26T21:16:48.5130699Z ROCM_VERSION_DEV: 6.4.2 2025-08-26T21:16:48.5131146Z ROCM_VERSION_DEV_MAJOR: 6 2025-08-26T21:16:48.5131597Z ROCM_VERSION_DEV_MINOR: 4 2025-08-26T21:16:48.5132030Z ROCM_VERSION_DEV_PATCH: 2 2025-08-26T21:16:48.5132471Z ROCM_VERSION_DEV_INT: 60402 2025-08-26T21:16:48.5132943Z HIP_VERSION_MAJOR: 6 2025-08-26T21:16:48.5133372Z HIP_VERSION_MINOR: 4 2025-08-26T21:16:48.5133803Z TORCH_HIP_VERSION: 604 2025-08-26T21:16:48.5134176Z  2025-08-26T21:16:48.5134535Z ***** Library versions from cmake find_package ***** 2025-08-26T21:16:48.5135003Z  2025-08-26T21:16:48.5135677Z amd_comgr VERSION: 3.0.0 2025-08-26T21:16:48.5474055Z rocrand VERSION: 3.3.0 2025-08-26T21:16:48.5505802Z hiprand VERSION: 2.12.0 2025-08-26T21:16:48.5524732Z rocblas VERSION: 4.4.1 2025-08-26T21:16:48.5562996Z hipblas VERSION: 2.4.0 2025-08-26T21:16:48.5587776Z miopen VERSION: 3.4.0 2025-08-26T21:16:48.5607565Z hipfft VERSION: 1.0.18 2025-08-26T21:16:48.5627004Z hipsparse VERSION: 3.2.0 2025-08-26T21:16:48.5645819Z rocprim VERSION: 3.4.1 2025-08-26T21:16:48.5674514Z hipcub VERSION: 3.4.0 2025-08-26T21:16:48.5693118Z rocthrust VERSION: 3.3.0 2025-08-26T21:16:48.5714381Z hipsolver VERSION: 2.4.0 2025-08-26T21:16:48.5742343Z rocsolver VERSION: 3.28.2 2025-08-26T21:16:48.5743644Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:175 (message): 2025-08-26T21:16:48.5744703Z Work around hiprtc cmake failure for cmake >= 4 2025-08-26T21:16:48.5745204Z Call Stack (most recent call first): 2025-08-26T21:16:48.5746059Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:74 (include) 2025-08-26T21:16:48.5747011Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) 2025-08-26T21:16:48.5747561Z CMakeLists.txt:29 (find_package) 2025-08-26T21:16:48.5747739Z 2025-08-26T21:16:48.5747842Z  2025-08-26T21:16:48.5755833Z CMake Deprecation Warning at /opt/rocm/lib/cmake/hiprtc/hiprtc-config.cmake:21 (cmake_minimum_required): 2025-08-26T21:16:48.5756472Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-08-26T21:16:48.5756847Z CMake. 2025-08-26T21:16:48.5756971Z 2025-08-26T21:16:48.5757174Z Update the VERSION argument value. Or, use the ... syntax 2025-08-26T21:16:48.5757676Z to tell CMake that the project requires at least but has been updated 2025-08-26T21:16:48.5758119Z to work with policies introduced by or earlier. 2025-08-26T21:16:48.5758447Z Call Stack (most recent call first): 2025-08-26T21:16:48.5759023Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:67 (find_package) 2025-08-26T21:16:48.5759960Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:177 (find_package_and_print_version) 2025-08-26T21:16:48.5760835Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:74 (include) 2025-08-26T21:16:48.5761614Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) 2025-08-26T21:16:48.5762157Z CMakeLists.txt:29 (find_package) 2025-08-26T21:16:48.5762332Z 2025-08-26T21:16:48.5762438Z  2025-08-26T21:16:48.5762673Z hiprtc VERSION: 6.4.43484 2025-08-26T21:16:48.5781553Z hipblaslt VERSION: 0.12.1 2025-08-26T21:16:48.6149261Z rccl VERSION: 2.22.3 2025-08-26T21:16:48.6155633Z hsa-runtime64 VERSION: 1.15.60402 2025-08-26T21:16:48.6175065Z hipsparselt VERSION: 0.2.3 2025-08-26T21:16:50.4240642Z hipblaslt is using scale pointer vec ext 2025-08-26T21:16:50.5733570Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-08-26T21:16:50.5734259Z static library kineto_LIBRARY-NOTFOUND not found. 2025-08-26T21:16:50.5734605Z Call Stack (most recent call first): 2025-08-26T21:16:50.5735227Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-08-26T21:16:50.5735842Z CMakeLists.txt:29 (find_package) 2025-08-26T21:16:50.5736029Z 2025-08-26T21:16:50.5736125Z  2025-08-26T21:16:50.5743134Z -- Found Torch: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so 2025-08-26T21:16:50.5784999Z -- Configuring done (3.4s) 2025-08-26T21:16:50.5942393Z -- Generating done (0.0s) 2025-08-26T21:16:50.5947238Z -- Build files have been written to: /var/lib/jenkins/pytorch/test/cpp_extensions/open_registration_extension/torch_openreg/build 2025-08-26T21:16:50.6982296Z [ 5%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o 2025-08-26T21:16:50.6990160Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o 2025-08-26T21:16:51.0993506Z [ 17%] Linking CXX shared library libopenreg.so 2025-08-26T21:16:51.1679812Z [ 17%] Built target openreg 2025-08-26T21:16:51.1786260Z [ 23%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o 2025-08-26T21:16:51.1790456Z [ 29%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o 2025-08-26T21:16:51.1793253Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o 2025-08-26T21:16:51.1796489Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o 2025-08-26T21:16:51.1800617Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o 2025-08-26T21:16:51.1801390Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o 2025-08-26T21:16:51.1826225Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o 2025-08-26T21:16:51.1828468Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o 2025-08-26T21:16:51.1829213Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o 2025-08-26T21:16:51.1834359Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o 2025-08-26T21:16:51.1837892Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o 2025-08-26T21:16:59.8192260Z [ 88%] Linking CXX shared library libtorch_openreg.so 2025-08-26T21:17:00.2345314Z [ 88%] Built target torch_openreg 2025-08-26T21:17:00.2491441Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o 2025-08-26T21:17:07.8976965Z [100%] Linking CXX shared library libtorch_bindings.so 2025-08-26T21:17:08.1905941Z [100%] Built target torch_bindings 2025-08-26T21:17:08.2040438Z Install the project... 2025-08-26T21:17:08.2096328Z -- Install configuration: "" 2025-08-26T21:17:08.2863584Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated 2025-08-26T21:17:08.2865175Z !! 2025-08-26T21:17:08.2865389Z 2025-08-26T21:17:08.2865632Z ******************************************************************************** 2025-08-26T21:17:08.2867860Z 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). 2025-08-26T21:17:08.2869275Z 2025-08-26T21:17:08.2869685Z By 2026-Feb-18, you need to update your project and remove deprecated calls 2025-08-26T21:17:08.2870503Z or your builds will no longer be supported. 2025-08-26T21:17:08.2870927Z 2025-08-26T21:17:08.2871571Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-08-26T21:17:08.2872564Z ******************************************************************************** 2025-08-26T21:17:08.2872979Z 2025-08-26T21:17:08.2873126Z !! 2025-08-26T21:17:08.2873519Z corresp(dist, value, root_dir) 2025-08-26T21:17:08.3369381Z running install 2025-08-26T21:17:08.3378329Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:17:08.3379737Z !! 2025-08-26T21:17:08.3379958Z 2025-08-26T21:17:08.3380183Z ******************************************************************************** 2025-08-26T21:17:08.3380850Z Please avoid running ``setup.py`` directly. 2025-08-26T21:17:08.3382068Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:17:08.3382705Z standards-based tools. 2025-08-26T21:17:08.3383028Z 2025-08-26T21:17:08.3383441Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:17:08.3384252Z or your builds will no longer be supported. 2025-08-26T21:17:08.3384661Z 2025-08-26T21:17:08.3385194Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:17:08.3386068Z ******************************************************************************** 2025-08-26T21:17:08.3386463Z 2025-08-26T21:17:08.3386614Z !! 2025-08-26T21:17:08.3387000Z self.initialize_options() 2025-08-26T21:17:08.3549611Z running build 2025-08-26T21:17:08.3550096Z running build_py 2025-08-26T21:17:08.3653985Z creating build/lib.linux-x86_64-cpython-310/torch_openreg 2025-08-26T21:17:08.3657141Z copying torch_openreg/_utils.py -> build/lib.linux-x86_64-cpython-310/torch_openreg 2025-08-26T21:17:08.3661144Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_openreg 2025-08-26T21:17:08.3664733Z creating build/lib.linux-x86_64-cpython-310/torch_openreg/openreg 2025-08-26T21:17:08.3666216Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg 2025-08-26T21:17:08.3671746Z copying torch_openreg/openreg/meta.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg 2025-08-26T21:17:08.3674220Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg 2025-08-26T21:17:08.3686574Z creating build/lib.linux-x86_64-cpython-310/torch_openreg/lib 2025-08-26T21:17:08.3687768Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib 2025-08-26T21:17:08.3691983Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib 2025-08-26T21:17:08.3728186Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib 2025-08-26T21:17:08.3742150Z running build_ext 2025-08-26T21:17:08.3813812Z building 'torch_openreg._C' extension 2025-08-26T21:17:08.3814683Z creating build/temp.linux-x86_64-cpython-310/torch_openreg/csrc 2025-08-26T21:17:08.3819354Z gcc -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/include/python3.10 -c torch_openreg/csrc/stub.c -o build/temp.linux-x86_64-cpython-310/torch_openreg/csrc/stub.o -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-unknown-pragmas -fno-strict-aliasing 2025-08-26T21:17:08.5670064Z gcc -pthread -B /opt/conda/envs/py_3.10/compiler_compat -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.10/lib -Wl,-rpath-link,/opt/conda/envs/py_3.10/lib -L/opt/conda/envs/py_3.10/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.10/lib -Wl,-rpath-link,/opt/conda/envs/py_3.10/lib -L/opt/conda/envs/py_3.10/lib build/temp.linux-x86_64-cpython-310/torch_openreg/csrc/stub.o -L/var/lib/jenkins/pytorch/test/cpp_extensions/open_registration_extension/torch_openreg/torch_openreg/lib -ltorch_bindings -o build/lib.linux-x86_64-cpython-310/torch_openreg/_C.cpython-310-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib 2025-08-26T21:17:08.6055591Z running install_lib 2025-08-26T21:17:08.6118081Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages 2025-08-26T21:17:08.6122435Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg 2025-08-26T21:17:08.6124120Z copying build/lib.linux-x86_64-cpython-310/torch_openreg/_utils.py -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg 2025-08-26T21:17:08.6126075Z copying build/lib.linux-x86_64-cpython-310/torch_openreg/__init__.py -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg 2025-08-26T21:17:08.6128169Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/lib 2025-08-26T21:17:08.6129847Z copying build/lib.linux-x86_64-cpython-310/torch_openreg/lib/libopenreg.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/lib 2025-08-26T21:17:08.6131977Z copying build/lib.linux-x86_64-cpython-310/torch_openreg/lib/libtorch_openreg.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/lib 2025-08-26T21:17:08.6164064Z copying build/lib.linux-x86_64-cpython-310/torch_openreg/lib/libtorch_bindings.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/lib 2025-08-26T21:17:08.6176086Z copying build/lib.linux-x86_64-cpython-310/torch_openreg/_C.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg 2025-08-26T21:17:08.6177946Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/openreg 2025-08-26T21:17:08.6179674Z copying build/lib.linux-x86_64-cpython-310/torch_openreg/openreg/__init__.py -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/openreg 2025-08-26T21:17:08.6181804Z copying build/lib.linux-x86_64-cpython-310/torch_openreg/openreg/meta.py -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/openreg 2025-08-26T21:17:08.6183900Z copying build/lib.linux-x86_64-cpython-310/torch_openreg/openreg/random.py -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/openreg 2025-08-26T21:17:08.6186185Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/_utils.py to _utils.cpython-310.pyc 2025-08-26T21:17:08.6192136Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/__init__.py to __init__.cpython-310.pyc 2025-08-26T21:17:08.6194137Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/openreg/__init__.py to __init__.cpython-310.pyc 2025-08-26T21:17:08.6199522Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/openreg/meta.py to meta.cpython-310.pyc 2025-08-26T21:17:08.6201464Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/openreg/random.py to random.cpython-310.pyc 2025-08-26T21:17:08.6205123Z running install_egg_info 2025-08-26T21:17:08.6319420Z running egg_info 2025-08-26T21:17:08.6375483Z creating torch_openreg.egg-info 2025-08-26T21:17:08.6376160Z writing torch_openreg.egg-info/PKG-INFO 2025-08-26T21:17:08.6381603Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt 2025-08-26T21:17:08.6383111Z writing requirements to torch_openreg.egg-info/requires.txt 2025-08-26T21:17:08.6383991Z writing top-level names to torch_openreg.egg-info/top_level.txt 2025-08-26T21:17:08.6385015Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T21:17:08.6452922Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T21:17:08.6461227Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T21:17:08.6462498Z Copying torch_openreg.egg-info to ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg-0.0.1-py3.10.egg-info 2025-08-26T21:17:08.6469581Z running install_scripts 2025-08-26T21:17:08.9296265Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:17:08.9299496Z Executing ['/opt/conda/envs/py_3.10/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 21:17:08.929563] 2025-08-26T21:17:13.6053174Z 2025-08-26T21:17:13.6054988Z test_openreg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openreg_1.1_ae4c91eaaa260294_.log 2025-08-26T21:17:13.6073445Z 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 2025-08-26T21:17:13.6092899Z 2025-08-26T21:17:13.6093320Z Running test_transformers_privateuse1 1/1 ... [2025-08-26 21:17:13.605684] 2025-08-26T21:17:14.9941217Z -- The CXX compiler identification is GNU 11.4.0 2025-08-26T21:17:15.0689855Z -- The C compiler identification is GNU 11.4.0 2025-08-26T21:17:15.0896663Z -- Detecting CXX compiler ABI info 2025-08-26T21:17:15.2157620Z -- Detecting CXX compiler ABI info - done 2025-08-26T21:17:15.2415149Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-08-26T21:17:15.2418474Z -- Detecting CXX compile features 2025-08-26T21:17:15.2424782Z -- Detecting CXX compile features - done 2025-08-26T21:17:15.2595996Z -- Detecting C compiler ABI info 2025-08-26T21:17:15.3872933Z -- Detecting C compiler ABI info - done 2025-08-26T21:17:15.4016806Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-08-26T21:17:15.4020084Z -- Detecting C compile features 2025-08-26T21:17:15.4023261Z -- Detecting C compile features - done 2025-08-26T21:17:15.4697117Z Building PyTorch for GPU arch: gfx90a;gfx942 2025-08-26T21:17:15.5642935Z -- Found HIP: /opt/rocm (found suitable version "6.4.43484-123eb5128", minimum required is "1.0") 2025-08-26T21:17:15.5645487Z HIP VERSION: 6.4.43484-123eb5128 2025-08-26T21:17:15.6686898Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-08-26T21:17:15.8493462Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-08-26T21:17:15.8502965Z -- Found Threads: TRUE 2025-08-26T21:17:15.8774956Z hip VERSION: 6.4.43484 2025-08-26T21:17:15.8804055Z -- Reading ROCM version from: /opt/rocm/include/rocm-core/rocm_version.h 2025-08-26T21:17:15.8804942Z -- Content: 2025-08-26T21:17:15.8805476Z  2025-08-26T21:17:15.8805914Z ***** ROCm version from rocm_version.h **** 2025-08-26T21:17:15.8806478Z  2025-08-26T21:17:15.8806920Z ROCM_VERSION_DEV: 6.4.2 2025-08-26T21:17:15.8807488Z ROCM_VERSION_DEV_MAJOR: 6 2025-08-26T21:17:15.8808064Z ROCM_VERSION_DEV_MINOR: 4 2025-08-26T21:17:15.8808622Z ROCM_VERSION_DEV_PATCH: 2 2025-08-26T21:17:15.8809196Z ROCM_VERSION_DEV_INT: 60402 2025-08-26T21:17:15.8809832Z HIP_VERSION_MAJOR: 6 2025-08-26T21:17:15.8810370Z HIP_VERSION_MINOR: 4 2025-08-26T21:17:15.8810906Z TORCH_HIP_VERSION: 604 2025-08-26T21:17:15.8811379Z  2025-08-26T21:17:15.8811824Z ***** Library versions from cmake find_package ***** 2025-08-26T21:17:15.8812414Z  2025-08-26T21:17:15.8815426Z amd_comgr VERSION: 3.0.0 2025-08-26T21:17:15.9151511Z rocrand VERSION: 3.3.0 2025-08-26T21:17:15.9181058Z hiprand VERSION: 2.12.0 2025-08-26T21:17:15.9199962Z rocblas VERSION: 4.4.1 2025-08-26T21:17:15.9236822Z hipblas VERSION: 2.4.0 2025-08-26T21:17:15.9261231Z miopen VERSION: 3.4.0 2025-08-26T21:17:15.9279720Z hipfft VERSION: 1.0.18 2025-08-26T21:17:15.9299059Z hipsparse VERSION: 3.2.0 2025-08-26T21:17:15.9316541Z rocprim VERSION: 3.4.1 2025-08-26T21:17:15.9343915Z hipcub VERSION: 3.4.0 2025-08-26T21:17:15.9362588Z rocthrust VERSION: 3.3.0 2025-08-26T21:17:15.9381251Z hipsolver VERSION: 2.4.0 2025-08-26T21:17:15.9408881Z rocsolver VERSION: 3.28.2 2025-08-26T21:17:15.9410300Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:175 (message): 2025-08-26T21:17:15.9411638Z Work around hiprtc cmake failure for cmake >= 4 2025-08-26T21:17:15.9412272Z Call Stack (most recent call first): 2025-08-26T21:17:15.9413316Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:74 (include) 2025-08-26T21:17:15.9414847Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) 2025-08-26T21:17:15.9415895Z CMakeLists.txt:29 (find_package) 2025-08-26T21:17:15.9416235Z 2025-08-26T21:17:15.9416417Z  2025-08-26T21:17:15.9423454Z CMake Deprecation Warning at /opt/rocm/lib/cmake/hiprtc/hiprtc-config.cmake:21 (cmake_minimum_required): 2025-08-26T21:17:15.9424697Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-08-26T21:17:15.9425937Z CMake. 2025-08-26T21:17:15.9426182Z 2025-08-26T21:17:15.9426575Z Update the VERSION argument value. Or, use the ... syntax 2025-08-26T21:17:15.9427528Z to tell CMake that the project requires at least but has been updated 2025-08-26T21:17:15.9428515Z to work with policies introduced by or earlier. 2025-08-26T21:17:15.9429153Z Call Stack (most recent call first): 2025-08-26T21:17:15.9430260Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:67 (find_package) 2025-08-26T21:17:15.9432025Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/LoadHIP.cmake:177 (find_package_and_print_version) 2025-08-26T21:17:15.9433719Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:74 (include) 2025-08-26T21:17:15.9435225Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) 2025-08-26T21:17:15.9436278Z CMakeLists.txt:29 (find_package) 2025-08-26T21:17:15.9436613Z 2025-08-26T21:17:15.9436812Z  2025-08-26T21:17:15.9437265Z hiprtc VERSION: 6.4.43484 2025-08-26T21:17:15.9447143Z hipblaslt VERSION: 0.12.1 2025-08-26T21:17:15.9778519Z rccl VERSION: 2.22.3 2025-08-26T21:17:15.9790683Z hsa-runtime64 VERSION: 1.15.60402 2025-08-26T21:17:15.9822491Z hipsparselt VERSION: 0.2.3 2025-08-26T21:17:16.8898057Z hipblaslt is using scale pointer vec ext 2025-08-26T21:17:17.0108881Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-08-26T21:17:17.0110255Z static library kineto_LIBRARY-NOTFOUND not found. 2025-08-26T21:17:17.0110921Z Call Stack (most recent call first): 2025-08-26T21:17:17.0112129Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-08-26T21:17:17.0113380Z CMakeLists.txt:29 (find_package) 2025-08-26T21:17:17.0113753Z 2025-08-26T21:17:17.0113948Z  2025-08-26T21:17:17.0118855Z -- Found Torch: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so 2025-08-26T21:17:17.0150202Z -- Configuring done (2.2s) 2025-08-26T21:17:17.0286045Z -- Generating done (0.0s) 2025-08-26T21:17:17.0292058Z -- Build files have been written to: /var/lib/jenkins/pytorch/test/cpp_extensions/open_registration_extension/torch_openreg/build 2025-08-26T21:17:17.1298665Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o 2025-08-26T21:17:17.1300159Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o 2025-08-26T21:17:17.2054366Z [ 17%] Linking CXX shared library libopenreg.so 2025-08-26T21:17:17.2661444Z [ 17%] Built target openreg 2025-08-26T21:17:17.2753499Z [ 23%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o 2025-08-26T21:17:17.2759961Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o 2025-08-26T21:17:17.2760660Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o 2025-08-26T21:17:17.2766376Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o 2025-08-26T21:17:17.2767661Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o 2025-08-26T21:17:17.2768746Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o 2025-08-26T21:17:17.2787146Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o 2025-08-26T21:17:17.2802454Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o 2025-08-26T21:17:17.2803630Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o 2025-08-26T21:17:17.2812636Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o 2025-08-26T21:17:17.2814199Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o 2025-08-26T21:17:17.9723009Z [ 88%] Linking CXX shared library libtorch_openreg.so 2025-08-26T21:17:18.3782135Z [ 88%] Built target torch_openreg 2025-08-26T21:17:18.3947450Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o 2025-08-26T21:17:19.2316859Z [100%] Linking CXX shared library libtorch_bindings.so 2025-08-26T21:17:19.5074356Z [100%] Built target torch_bindings 2025-08-26T21:17:19.5195138Z Install the project... 2025-08-26T21:17:19.5242017Z -- Install configuration: "" 2025-08-26T21:17:19.6018722Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated 2025-08-26T21:17:19.6020392Z !! 2025-08-26T21:17:19.6020607Z 2025-08-26T21:17:19.6020841Z ******************************************************************************** 2025-08-26T21:17:19.6022283Z 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). 2025-08-26T21:17:19.6024111Z 2025-08-26T21:17:19.6024522Z By 2026-Feb-18, you need to update your project and remove deprecated calls 2025-08-26T21:17:19.6025336Z or your builds will no longer be supported. 2025-08-26T21:17:19.6025746Z 2025-08-26T21:17:19.6026400Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-08-26T21:17:19.6027460Z ******************************************************************************** 2025-08-26T21:17:19.6027873Z 2025-08-26T21:17:19.6028395Z !! 2025-08-26T21:17:19.6028791Z corresp(dist, value, root_dir) 2025-08-26T21:17:19.6344834Z running install 2025-08-26T21:17:19.6346248Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:17:19.6347589Z !! 2025-08-26T21:17:19.6347792Z 2025-08-26T21:17:19.6348203Z ******************************************************************************** 2025-08-26T21:17:19.6348879Z Please avoid running ``setup.py`` directly. 2025-08-26T21:17:19.6349583Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:17:19.6350201Z standards-based tools. 2025-08-26T21:17:19.6350523Z 2025-08-26T21:17:19.6350923Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:17:19.6351721Z or your builds will no longer be supported. 2025-08-26T21:17:19.6352129Z 2025-08-26T21:17:19.6352652Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:17:19.6353537Z ******************************************************************************** 2025-08-26T21:17:19.6353934Z 2025-08-26T21:17:19.6354082Z !! 2025-08-26T21:17:19.6354448Z self.initialize_options() 2025-08-26T21:17:19.6441043Z running build 2025-08-26T21:17:19.6441564Z running build_py 2025-08-26T21:17:19.6499638Z creating build/lib.linux-x86_64-cpython-310/torch_openreg 2025-08-26T21:17:19.6500756Z copying torch_openreg/_utils.py -> build/lib.linux-x86_64-cpython-310/torch_openreg 2025-08-26T21:17:19.6502145Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_openreg 2025-08-26T21:17:19.6505460Z creating build/lib.linux-x86_64-cpython-310/torch_openreg/openreg 2025-08-26T21:17:19.6506581Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg 2025-08-26T21:17:19.6508533Z copying torch_openreg/openreg/meta.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg 2025-08-26T21:17:19.6510540Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg 2025-08-26T21:17:19.6519228Z creating build/lib.linux-x86_64-cpython-310/torch_openreg/lib 2025-08-26T21:17:19.6520446Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib 2025-08-26T21:17:19.6522283Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib 2025-08-26T21:17:19.6564349Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib 2025-08-26T21:17:19.6578530Z running build_ext 2025-08-26T21:17:19.6644200Z building 'torch_openreg._C' extension 2025-08-26T21:17:19.6645035Z creating build/temp.linux-x86_64-cpython-310/torch_openreg/csrc 2025-08-26T21:17:19.6649934Z gcc -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/include/python3.10 -c torch_openreg/csrc/stub.c -o build/temp.linux-x86_64-cpython-310/torch_openreg/csrc/stub.o -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-unknown-pragmas -fno-strict-aliasing 2025-08-26T21:17:19.6921894Z gcc -pthread -B /opt/conda/envs/py_3.10/compiler_compat -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.10/lib -Wl,-rpath-link,/opt/conda/envs/py_3.10/lib -L/opt/conda/envs/py_3.10/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.10/lib -Wl,-rpath-link,/opt/conda/envs/py_3.10/lib -L/opt/conda/envs/py_3.10/lib build/temp.linux-x86_64-cpython-310/torch_openreg/csrc/stub.o -L/var/lib/jenkins/pytorch/test/cpp_extensions/open_registration_extension/torch_openreg/torch_openreg/lib -ltorch_bindings -o build/lib.linux-x86_64-cpython-310/torch_openreg/_C.cpython-310-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib 2025-08-26T21:17:19.7244313Z running install_lib 2025-08-26T21:17:19.7305615Z copying build/lib.linux-x86_64-cpython-310/torch_openreg/lib/libopenreg.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/lib 2025-08-26T21:17:19.7308194Z copying build/lib.linux-x86_64-cpython-310/torch_openreg/lib/libtorch_openreg.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/lib 2025-08-26T21:17:19.7351617Z copying build/lib.linux-x86_64-cpython-310/torch_openreg/lib/libtorch_bindings.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/lib 2025-08-26T21:17:19.7366995Z copying build/lib.linux-x86_64-cpython-310/torch_openreg/_C.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg 2025-08-26T21:17:19.7374052Z running install_egg_info 2025-08-26T21:17:19.7485162Z running egg_info 2025-08-26T21:17:19.7542386Z writing torch_openreg.egg-info/PKG-INFO 2025-08-26T21:17:19.7547729Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt 2025-08-26T21:17:19.7549255Z writing requirements to torch_openreg.egg-info/requires.txt 2025-08-26T21:17:19.7550461Z writing top-level names to torch_openreg.egg-info/top_level.txt 2025-08-26T21:17:19.7616691Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T21:17:19.7626717Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-26T21:17:19.7628344Z removing './install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg-0.0.1-py3.10.egg-info' (and everything under it) 2025-08-26T21:17:19.7630830Z Copying torch_openreg.egg-info to ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg-0.0.1-py3.10.egg-info 2025-08-26T21:17:19.7638742Z running install_scripts 2025-08-26T21:17:20.0419967Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:17:20.0435987Z Executing ['/opt/conda/envs/py_3.10/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 21:17:20.043298] 2025-08-26T21:17:23.5660099Z 2025-08-26T21:17:23.5661636Z test_transformers_privateuse1 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_privateuse1_1.1_533f2d535dc03600_.log 2025-08-26T21:17:23.5665080Z 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 2025-08-26T21:17:23.5667736Z 2025-08-26T21:17:23.5668269Z Running test_extension_utils 1/1 ... [2025-08-26 21:17:23.566375] 2025-08-26T21:17:23.5669022Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:17:23.5672979Z Executing ['/opt/conda/envs/py_3.10/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 21:17:23.566921] 2025-08-26T21:17:27.1902413Z 2025-08-26T21:17:27.1903531Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_cb9123179e832a11_.log 2025-08-26T21:17:27.1906572Z 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 2025-08-26T21:17:27.1907870Z 2025-08-26T21:17:27.1909161Z Running test_native_mha 1/1 ... [2025-08-26 21:17:27.190590] 2025-08-26T21:17:27.1909881Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:17:27.1916210Z Executing ['/opt/conda/envs/py_3.10/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 21:17:27.191134] 2025-08-26T21:17:32.9190628Z 2025-08-26T21:17:32.9191686Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_905623fb71c1aa83_.log 2025-08-26T21:17:32.9238624Z Running 54 items in this shard: test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_attention_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_attention_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_encoder_decoder_attention_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_encoder_decoder_attention_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cuda_float16, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_transform_bias_rescale_qkv_cuda_float32, test/test_native_mha.py::TestMHADeviceTypeCUDA::test_transform_bias_rescale_qkv_nested_cuda_float32 2025-08-26T21:17:32.9292801Z 2025-08-26T21:17:32.9293104Z Running test_mobile_optimizer 1/1 ... [2025-08-26 21:17:32.919454] 2025-08-26T21:17:32.9293684Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:17:32.9295065Z Executing ['/opt/conda/envs/py_3.10/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 21:17:32.919770] 2025-08-26T21:17:38.4955409Z 2025-08-26T21:17:38.4956628Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_37a74469dab2a43e_.log 2025-08-26T21:17:38.4960827Z 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 2025-08-26T21:17:38.4964877Z 2025-08-26T21:17:38.4965151Z Running nn/test_pooling 1/1 ... [2025-08-26 21:17:38.495622] 2025-08-26T21:17:38.4965727Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:17:38.4966466Z Executing ['/opt/conda/envs/py_3.10/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 21:17:38.495943] 2025-08-26T21:17:47.4299102Z 2025-08-26T21:17:47.4300711Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_16fb8f423f454b9a_.log 2025-08-26T21:17:47.4367307Z Running 143 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::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool1d_indices_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool1d_indices_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool1d_indices_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool1d_indices_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool2d_indices_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool2d_indices_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool2d_indices_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool2d_indices_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool3d_indices_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool3d_indices_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool3d_indices_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool3d_indices_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AdaptiveMaxPool_zero_batch_dim_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AvgPool2d_empty_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_AvgPool3d_backward_after_cat_dim1_device_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_FractionalMaxPool2d_zero_batch_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_FractionalMaxPool2d_zero_out_size_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_FractionalMaxPool2d_zero_samples_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_FractionalMaxPool3d_errors_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_FractionalMaxPool3d_zero_batch_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_FractionalMaxPool3d_zero_out_size_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_FractionalMaxPool3d_zero_samples_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool1d_indices_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool1d_indices_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool1d_indices_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool1d_indices_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool2d_indices_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool2d_indices_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool2d_indices_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool2d_indices_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool3d_indices_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool3d_indices_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool3d_indices_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool3d_indices_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxPool_zero_batch_dim_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case10_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case1_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case2_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case3_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case4_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case5_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case6_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case7_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case8_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_index_errors_case9_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_MaxUnpool_zero_batch_dim_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_avg_pool2d_output_size_one_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_avg_pool3d_output_size_one_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_avg_pooling_backward_fails_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_max_pooling_backward_fails_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pool_odd_size_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_empty_output_size_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_empty_output_size_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_empty_output_size_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_empty_output_size_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_max_nhwc_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_max_nhwc_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_no_suppot_input_cuda_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_no_suppot_input_cuda_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_no_suppot_input_cuda_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_no_suppot_input_cuda_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_no_suppot_input_cuda_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_zero_batch_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_adaptive_pooling_zero_batch_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_avg_pool2d_nhwc_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_avg_pool2d_nhwc_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_avg_pool2d_nhwc_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_avg_pool2d_reduced_floating_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_avg_pool2d_reduced_floating_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_fractional_max_pool2d_backward_fails_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_fractional_max_pool2d_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_fractional_max_pool3d_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_fractional_max_pool_nan_inf_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_fractional_max_pool_nan_inf_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_fractional_max_pool_nan_inf_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool1d_corner_cases_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool1d_corner_cases_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool1d_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool1d_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_corner_cases_cuda_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_corner_cases_cuda_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_indices_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_nhwc_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_nhwc_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_nhwc_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool2d_with_indices_backward_fails_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool3d_ndhwc_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool3d_ndhwc_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool3d_ndhwc_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool_bfloat16_half_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool_bfloat16_half_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool_nan_inf_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool_nan_inf_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_max_pool_nan_inf_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_maxpool3d_non_square_backward_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_maxpool_indices_no_batch_dim_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_maxpool_indices_no_batch_dim_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_maxpool_indices_no_batch_dim_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_maxpool_indices_no_batch_dim_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool3d_large_size_int64_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool3d_size_one_feature_dim_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_invalid_size_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_invalid_size_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_invalid_size_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_invalid_size_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_large_size_cuda_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_large_size_cuda_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_large_size_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pool_large_size_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_bfloat16_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_large_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_max_nhwc_cuda_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_max_nhwc_cuda_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_shape_kernel_avg_pooling_dims_1_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_shape_kernel_avg_pooling_dims_2_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_shape_kernel_avg_pooling_dims_3_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_shape_kernel_max_pooling_dims_1_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_shape_kernel_max_pooling_dims_2_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_shape_kernel_max_pooling_dims_3_cuda, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCUDA::test_pooling_zero_stride_cuda 2025-08-26T21:17:47.4446572Z 2025-08-26T21:17:47.4447004Z Running nn/test_convolution 1/1 ... [2025-08-26 21:17:47.430574] 2025-08-26T21:17:47.4447890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:17:47.4449774Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_convolution.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 21:17:47.430969] 2025-08-26T21:20:21.6376856Z 2025-08-26T21:20:21.6378268Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_ef6c330161251fb5_.log 2025-08-26T21:20:21.6812884Z Running 606 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_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, 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_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_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, 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_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, 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_cudnn_memory_layout_dominance, 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_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_conv1d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_input, 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_grad_conv3d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv1d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv3d, test/nn/test_convolution.py::TestConvolutionNN::test_mismatch_shape_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_nnpack_conv, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, test/nn/test_convolution.py::TestConvolutionNN::test_thnn_conv_strided_padded_dilated, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_backward_depthwise_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_backward_depthwise_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_depthwise_naive_groups_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_depthwise_naive_groups_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_depthwise_naive_groups_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_1_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_2_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_deterministic_cudnn_dilation_3_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_large_workspace_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_large_workspace_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_large_workspace_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_large_workspace_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_naive_groups_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_naive_groups_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_naive_groups_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_naive_groups_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv2d_size_1_kernel_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv3d_depthwise_naive_groups_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv3d_depthwise_naive_groups_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_Conv3d_depthwise_naive_groups_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_ConvTranspose2d_large_output_padding_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_ConvTranspose2d_large_output_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_ConvTranspose2d_size_1_kernel_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_ConvTranspose3d_size_1_kernel_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_contig_wrong_stride_cudnn_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_same_padding_backward_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_same_padding_backward_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_same_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_same_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_valid_padding_backward_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_valid_padding_backward_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_valid_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_valid_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_vs_scipy_mode_same_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_vs_scipy_mode_same_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_vs_scipy_mode_valid_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv1d_vs_scipy_mode_valid_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_no_grad_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_same_padding_backward_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_same_padding_backward_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_same_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_same_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_valid_padding_backward_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_valid_padding_backward_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_valid_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_valid_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_vs_scipy_mode_same_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_vs_scipy_mode_same_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_vs_scipy_mode_valid_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv2d_vs_scipy_mode_valid_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_same_padding_backward_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_same_padding_backward_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_same_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_same_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_valid_padding_backward_cuda_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_valid_padding_backward_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_valid_padding_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_valid_padding_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_vs_scipy_mode_same_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_vs_scipy_mode_same_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_vs_scipy_mode_valid_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_vs_scipy_mode_valid_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_convTranspose_empty_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_True_cuda, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_False_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_True_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_contiguous_for_oneDNN_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_mismatch_memory_format_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_ndhwc_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_ndhwc_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_nhwc_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_nhwc_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_nhwc_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_nhwc_support_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_cudnn_nhwc_support_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_double_backward_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_double_backward_groups_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_double_backward_no_bias_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_double_backward_stride_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_double_backward_strided_with_3D_input_and_weight_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_empty_channel_cuda_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_empty_channel_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_ic1_channels_last_for_oneDNN_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_large_batch_1_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_large_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_large_nosplit_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_noncontig_weights_and_bias_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_noncontig_weights_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_thnn_nhwc_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_thnn_nhwc_cuda_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv_transposed_large_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_convert_conv2d_weight_memory_format_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_convert_conv3d_weight_memory_format_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_cudnn_convolution_add_relu_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_cudnn_convolution_add_relu_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_cudnn_convolution_relu_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_cudnn_convolution_relu_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_depthwise_conv_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_group_convTranspose_empty_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_group_conv_empty_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_noncontig_conv_grad_cuda_bfloat16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_noncontig_conv_grad_cuda_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_noncontig_conv_grad_cuda_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_noncontig_conv_grad_cuda_float64 2025-08-26T21:20:21.7194559Z 2025-08-26T21:20:21.7194718Z Running test_tensor_creation_ops 1/1 ... [2025-08-26 21:20:21.640306] 2025-08-26T21:20:21.7195036Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:20:21.7195785Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensor_creation_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 21:20:21.640877] 2025-08-26T21:22:15.5634624Z 2025-08-26T21:22:15.5640418Z test_tensor_creation_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensor_creation_ops_1.1_bff9d1c35c4659bb_.log 2025-08-26T21:22:15.5951158Z Running 526 items in this shard: test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_device_vs_cpu_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_device_vs_cpu_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_device_vs_cpu_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_device_vs_cpu_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_inference_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_lowp_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_arange_lowp_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_as_strided_neg_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_as_tensor_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_block_diag_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_block_diag_scipy_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cartesian_prod_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat2_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat2_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat2_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_all_dtypes_and_devices_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_big_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_empty_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_empty_legacy_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_in_channels_last_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_mem_overlap_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_channels_last_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_uint64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_fast_path_dim0_dim1_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_out_memory_format_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_preserve_channels_last_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_cat_stack_cross_devices_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_combinations_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_complex_type_conversions_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_concat_empty_list_error_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_constructor_device_legacy_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_constructor_dtypes_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_ctor_with_numpy_array_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_device_rounding_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_device_rounding_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_device_rounding_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_diag_embed_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_diagflat_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dsplit_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dsplit_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dsplit_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_dstack_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_empty_full_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_empty_overflow_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_empty_strided_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_empty_tensor_props_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_eye_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_fill_all_dtypes_and_devices_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_finite_cuda_bool, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_finite_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_finite_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_finite_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_finite_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_finite_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_nonfinite_cuda_bool, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_nonfinite_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_nonfinite_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_nonfinite_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_nonfinite_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_float_to_int_conversion_nonfinite_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_from_file_shared_False_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_from_file_shared_True_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_full_inference_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_full_inference_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_full_inference_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_full_out_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hsplit_cuda_complex64, 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test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_kaiser_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_kaiser_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_kaiser_window_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_kaiser_window_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_kaiser_window_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_kaiser_window_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_kaiser_window_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_large_linspace_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_large_linspace_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_like_fn_stride_proparation_vs_tensoriterator_unary_op_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linlogspace_mem_overlap_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_deduction_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_device_vs_cpu_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_device_vs_cpu_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_device_vs_cpu_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_device_vs_cpu_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_device_vs_cpu_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_device_vs_cpu_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_special_steps_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_special_steps_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_special_steps_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_special_steps_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_special_steps_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_special_steps_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_complex_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_integral_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_integral_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_integral_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_integral_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_linspace_vs_numpy_integral_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_base2_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_base2_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_base2_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_deduction_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_device_vs_cpu_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_device_vs_cpu_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_device_vs_cpu_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_special_steps_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_special_steps_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_special_steps_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_vs_numpy_complex_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_vs_numpy_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_logspace_vs_numpy_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_default_indexing_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_empty_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_ij_indexing_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_ij_indexing_is_default_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_inconsistent_device_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_inconsistent_dtype_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_non_1d_tensor_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_unsupported_indexing_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_vs_numpy_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_warns_if_no_indexing_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_meshgrid_xy_indexing_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_new_empty_strided_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_new_methods_requires_grad_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_new_tensor_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_new_tensor_device_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_offset_scalar_cast_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_ones_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_bool_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_default_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_bool_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_from_to_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_full_range_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_random_to_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_range_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_range_factories_64bit_indexing_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_range_warning_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_bool, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_refs_tensor_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_repeat_interleave_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_roll_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_bartlett_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_bartlett_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_bartlett_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_bartlett_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_bartlett_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_blackman_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_blackman_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_blackman_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_blackman_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_blackman_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hamming_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hamming_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hamming_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hamming_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hamming_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hann_cuda_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hann_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hann_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hann_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_window_functions_window_hann_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_bartlett_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_bartlett_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_blackman_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_blackman_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_cosine_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_cosine_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_hamming_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_hamming_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_hann_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_hann_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_nuttall_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_signal_windows_functions_window_nuttall_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_simple_scalar_cast_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_stack_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_stack_out_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_storage_filename_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_strided_mismatched_stride_shape_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_ctor_device_inference_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_device_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_factories_empty_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_factory_copy_var_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_factory_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_factory_gpu_type_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_factory_gpu_type_inference_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_factory_type_inference_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_from_non_writable_numpy_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_tensor_from_sequence_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_bool, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_floating_dtype_error_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_out_dtype_error_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_out_dtype_error_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_same_dtype_error_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_complex_same_dtype_error_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_polar_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_torch_polar_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_unpack_double_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_unpack_double_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_bool, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vander_types_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vsplit_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vsplit_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vsplit_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_int8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_vstack_row_stack_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_cuda, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_dtype_layout_device_match_cuda_bool, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_dtype_layout_device_match_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_dtype_layout_device_match_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_dtype_layout_device_match_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_dtype_layout_device_match_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_dtype_layout_device_match_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_dtype_layout_device_match_cuda_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_zeros_out_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_normal_cuda_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_normal_cuda_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_normal_std_error_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_rand_cuda_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_rand_cuda_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_rand_cuda_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_rand_cuda_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_rand_cuda_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randint_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randint_distribution_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randint_inference_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randn_cuda_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randn_cuda_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randn_cuda_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randn_cuda_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randn_cuda_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randn_cuda_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randn_cuda_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_random_neg_values_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randperm_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randperm_device_compatibility_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_randperm_large_cuda, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_uniform_from_to_cuda_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_uniform_from_to_cuda_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_uniform_from_to_cuda_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCUDA::test_uniform_from_to_cuda_float64, test/test_tensor_creation_ops.py::TestLikeTensorCreationCUDA::test_empty_like_cuda, test/test_tensor_creation_ops.py::TestLikeTensorCreationCUDA::test_full_like_inference_cuda, test/test_tensor_creation_ops.py::TestLikeTensorCreationCUDA::test_ones_like_cuda, test/test_tensor_creation_ops.py::TestLikeTensorCreationCUDA::test_ones_like_multiple_device_cuda, test/test_tensor_creation_ops.py::TestLikeTensorCreationCUDA::test_zeros_like_cuda, test/test_tensor_creation_ops.py::TestLikeTensorCreationCUDA::test_zeros_like_multiple_device_cuda, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_bool, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_uint16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_uint32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_uint64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_buffer_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_dlpack_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_bool, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_uint16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_uint32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_uint64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_numpy_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_bool, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_alias_from_tensor_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_astensor_consistency_cuda, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_bool, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_uint16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_uint32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_uint64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_buffer_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_dlpack_mult_devices_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_bool, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_uint16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_uint32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_uint64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_numpy_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_from_tensor_mult_devices_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_bool, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_list_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_bool, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_complex128, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_float16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_float64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_int16, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_int32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_int64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_int8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_copy_tensor_cuda_uint8, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_default_device_cuda, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_device_without_index_cuda, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_numpy_scalars_cuda, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_retain_autograd_history_cuda_complex64, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_retain_autograd_history_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_unsupported_alias_cuda_float32, test/test_tensor_creation_ops.py::TestAsArrayCUDA::test_unsupported_alias_mult_devices_cuda_float32 2025-08-26T21:22:15.6263487Z 2025-08-26T21:22:15.6263829Z Running test_spectral_ops 1/1 ... [2025-08-26 21:22:15.565135] 2025-08-26T21:22:15.6264549Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:22:15.6266627Z Executing ['/opt/conda/envs/py_3.10/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 21:22:15.565683] 2025-08-26T21:25:02.9477776Z 2025-08-26T21:25:02.9482995Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_3345f5ffce761f0c_.log 2025-08-26T21:25:02.9680768Z Running 347 items in this shard: test/test_spectral_ops.py::TestFFTCUDA::test_batch_istft_cuda, test/test_spectral_ops.py::TestFFTCUDA::test_complex_istft_real_equiv_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_definition_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_onesided_cuda, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_real_equiv_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_roundtrip_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_complex_stft_roundtrip_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_cufft_context_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_cufft_context_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_cufft_plan_cache_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft2_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft2_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft2_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft2_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fftn_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_empty_fft__refs_fft_fftn_cuda_complex64, 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test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error__refs_fft_ifftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error__refs_fft_ihfft2_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error__refs_fft_ihfft_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error__refs_fft_ihfftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error__refs_fft_irfft2_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error__refs_fft_irfft2_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error__refs_fft_irfft_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error__refs_fft_irfft_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error__refs_fft_irfftn_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error__refs_fft_irfftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error__refs_fft_rfft2_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error__refs_fft_rfft_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error__refs_fft_rfftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_fft2_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_fft2_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_fft_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_fft_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_fftn_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_fftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_hfft2_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_hfft2_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_hfft_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_hfft_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_hfftn_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_hfftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_ifft2_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_ifft2_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_ifft_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_ifft_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_ifftn_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_ifftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_ihfft2_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_ihfft_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_ihfftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_irfft2_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_irfft2_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_irfft_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_irfft_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_irfftn_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_irfftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_rfft2_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_rfft_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_half_and_chalf_not_power_of_two_error_fft_rfftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_ifft_rfft_irfft_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_fft_input_modification_cuda, test/test_spectral_ops.py::TestFFTCUDA::test_fft_invalid_dtypes_cuda, test/test_spectral_ops.py::TestFFTCUDA::test_fft_plan_repeatable_cuda, test/test_spectral_ops.py::TestFFTCUDA::test_fft_round_trip_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_fft_round_trip_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_round_trip_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_fft_round_trip_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_round_trip_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_round_trip_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_fft_type_promotion_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_fft_type_promotion_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_type_promotion_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_fft_type_promotion_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fft_type_promotion_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fft_type_promotion_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_fft_type_promotion_cuda_int8, test/test_spectral_ops.py::TestFFTCUDA::test_fftfreq_numpy_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftfreq_numpy_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_fftfreq_out_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftfreq_out_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid__refs_fft_fftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid__refs_fft_fftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid__refs_fft_hfftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid__refs_fft_hfftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid__refs_fft_ifftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid__refs_fft_ifftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid__refs_fft_ihfftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid__refs_fft_irfftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid__refs_fft_irfftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid__refs_fft_rfftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid_fft_fftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid_fft_fftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid_fft_hfftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid_fft_hfftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid_fft_ifftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid_fft_ifftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid_fft_ihfftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid_fft_irfftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid_fft_irfftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_invalid_fft_rfftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_noop_transform_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_noop_transform_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_noop_transform_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_noop_transform_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_noop_transform_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_round_trip_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_round_trip_cuda_complex32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_round_trip_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_round_trip_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_round_trip_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftn_round_trip_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_fftshift_frequencies_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftshift_frequencies_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_fftshift_numpy_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_fftshift_numpy_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_fftshift_numpy_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_fftshift_numpy_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_hfftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_hfftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_hfftn_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_ihfftn_cuda_float16, test/test_spectral_ops.py::TestFFTCUDA::test_ihfftn_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_ihfftn_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_istft_against_librosa_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_istft_linearity_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_istft_of_sine_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_istft_requires_window_cuda, test/test_spectral_ops.py::TestFFTCUDA::test_istft_round_trip_simple_cases_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_istft_round_trip_various_params_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_istft_round_trip_with_padding_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_istft_throws_cuda, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d__refs_fft_fft_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d__refs_fft_fft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d__refs_fft_hfft_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d__refs_fft_hfft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d__refs_fft_ifft_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d__refs_fft_ifft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d__refs_fft_ihfft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d__refs_fft_irfft_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d__refs_fft_irfft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d__refs_fft_rfft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d_fft_fft_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d_fft_fft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d_fft_hfft_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d_fft_hfft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d_fft_ifft_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d_fft_ifft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d_fft_ihfft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d_fft_irfft_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d_fft_irfft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_reference_1d_fft_rfft_cuda_float32, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd__refs_fft_fftn_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd__refs_fft_fftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd__refs_fft_hfftn_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd__refs_fft_hfftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd__refs_fft_ifftn_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd__refs_fft_ifftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd__refs_fft_irfftn_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd__refs_fft_irfftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd_fft_fftn_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd_fft_fftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd_fft_hfftn_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd_fft_hfftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd_fft_ifftn_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd_fft_ifftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd_fft_irfftn_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_reference_nd_fft_irfftn_cuda_complex64, test/test_spectral_ops.py::TestFFTCUDA::test_stft_align_to_window_only_requires_non_center_cuda, test/test_spectral_ops.py::TestFFTCUDA::test_stft_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_stft_requires_complex_cuda, test/test_spectral_ops.py::TestFFTCUDA::test_stft_requires_window_cuda, test/test_spectral_ops.py::TestFFTCUDA::test_stft_roundtrip_complex_window_cuda_complex128, test/test_spectral_ops.py::TestFFTCUDA::test_stft_roundtrip_complex_window_cuda_float64, test/test_spectral_ops.py::TestFFTCUDA::test_stft_window_device_cuda 2025-08-26T21:25:02.9863846Z 2025-08-26T21:25:02.9864125Z Running doctests 1/1 ... [2025-08-26 21:25:02.948812] 2025-08-26T21:25:03.1227944Z Start doctest_module('/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch') 2025-08-26T21:25:03.1229074Z Listing tests 2025-08-26T21:25:03.6571531Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=375. 2025-08-26T21:25:03.6573304Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:03.6575226Z Registers the function implementation as the fallback for the given key. 2025-08-26T21:25:03.6575929Z 2025-08-26T21:25:03.6576469Z This function only works for a library with global namespace ("_"). 2025-08-26T21:25:03.6577188Z 2025-08-26T21:25:03.6577680Z Args: 2025-08-26T21:25:03.6578642Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-08-26T21:25:03.6579737Z to register a fallthrough. 2025-08-26T21:25:03.6580920Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-08-26T21:25:03.6582147Z the dispatch key that the library was created with. 2025-08-26T21:25:03.6583730Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-08-26T21:25:03.6585288Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-08-26T21:25:03.6586090Z 2025-08-26T21:25:03.6586369Z Example:: 2025-08-26T21:25:03.6586925Z 2025-08-26T21:25:03.6587146Z >>> my_lib = Library("_", "IMPL") 2025-08-26T21:25:03.6587976Z >>> def fallback_kernel(op, *args, **kwargs): 2025-08-26T21:25:03.6588991Z >>> # Handle all autocast ops generically 2025-08-26T21:25:03.6589708Z >>> # ... 2025-08-26T21:25:03.6590430Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-08-26T21:25:03.6591144Z 2025-08-26T21:25:03.6592531Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-08-26T21:25:03.6593769Z 2025-08-26T21:25:03.6615691Z my_lib.fallback(fallback_kernel, "Autocast") 2025-08-26T21:25:03.6616405Z ^ 2025-08-26T21:25:03.6687354Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=948. 2025-08-26T21:25:03.6688800Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:03.6690232Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-08-26T21:25:03.6690778Z 2025-08-26T21:25:03.6691067Z Also sometimes known as a "meta kernel", "abstract impl". 2025-08-26T21:25:03.6691525Z 2025-08-26T21:25:03.6691908Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-08-26T21:25:03.6692806Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-08-26T21:25:03.6693672Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-08-26T21:25:03.6694444Z what the properties of the output Tensors are. 2025-08-26T21:25:03.6694850Z 2025-08-26T21:25:03.6695227Z The FakeTensor implementation has the same signature as the operator. 2025-08-26T21:25:03.6696107Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-08-26T21:25:03.6696951Z implementation, assume that all Tensor inputs to the operator are 2025-08-26T21:25:03.6697788Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-08-26T21:25:03.6698589Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-08-26T21:25:03.6699437Z The FakeTensor implementation must consist of only PyTorch operations 2025-08-26T21:25:03.6700251Z (and may not directly access the storage or data of any input or 2025-08-26T21:25:03.6700881Z intermediate Tensors). 2025-08-26T21:25:03.6701161Z 2025-08-26T21:25:03.6701413Z This API may be used as a decorator (see examples). 2025-08-26T21:25:03.6701824Z 2025-08-26T21:25:03.6702053Z For a detailed guide on custom ops, please see 2025-08-26T21:25:03.6702839Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-08-26T21:25:03.6703380Z 2025-08-26T21:25:03.6703519Z Args: 2025-08-26T21:25:03.6704064Z op_name: Operator name (along with the overload) or OpOverload object. 2025-08-26T21:25:03.6704764Z func: Fake tensor implementation. 2025-08-26T21:25:03.6705419Z lib (Optional[Library]): Library to register the fake tensor to. 2025-08-26T21:25:03.6706179Z allow_override: Flag controlling if we want to override an 2025-08-26T21:25:03.6706910Z existing registered fake impl. This is by default off, 2025-08-26T21:25:03.6707618Z and will error you're trying to register a fake impl to 2025-08-26T21:25:03.6708464Z an operator that already has a fake impl. This also only 2025-08-26T21:25:03.6709158Z applies if the custom operator was not created via 2025-08-26T21:25:03.6710157Z torch.library.custom_op, as overriding and existing fake 2025-08-26T21:25:03.6710819Z impl is already allowed. 2025-08-26T21:25:03.6711162Z 2025-08-26T21:25:03.6711313Z Examples: 2025-08-26T21:25:03.6711680Z >>> import torch 2025-08-26T21:25:03.6712147Z >>> import numpy as np 2025-08-26T21:25:03.6712788Z >>> from torch import Tensor 2025-08-26T21:25:03.6713268Z >>> 2025-08-26T21:25:03.6713791Z >>> # Example 1: an operator without data-dependent output shape 2025-08-26T21:25:03.6714649Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-08-26T21:25:03.6715549Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-26T21:25:03.6716389Z >>> raise NotImplementedError("Implementation goes here") 2025-08-26T21:25:03.6717010Z >>> 2025-08-26T21:25:03.6717496Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-08-26T21:25:03.6718134Z >>> def _(x, weight, bias): 2025-08-26T21:25:03.6718646Z >>> assert x.dim() == 2 2025-08-26T21:25:03.6719143Z >>> assert weight.dim() == 2 2025-08-26T21:25:03.6719666Z >>> assert bias.dim() == 1 2025-08-26T21:25:03.6720211Z >>> assert x.shape[1] == weight.shape[1] 2025-08-26T21:25:03.6721003Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-26T21:25:03.6721608Z >>> assert x.device == weight.device 2025-08-26T21:25:03.6722133Z >>> 2025-08-26T21:25:03.6722508Z >>> return (x @ weight.t()) + bias 2025-08-26T21:25:03.6722974Z >>> 2025-08-26T21:25:03.6723430Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-08-26T21:25:03.6724042Z >>> x = torch.randn(2, 3) 2025-08-26T21:25:03.6724514Z >>> w = torch.randn(3, 3) 2025-08-26T21:25:03.6724971Z >>> b = torch.randn(3) 2025-08-26T21:25:03.6725485Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-08-26T21:25:03.6725992Z >>> 2025-08-26T21:25:03.6726347Z >>> assert y.shape == (2, 3) 2025-08-26T21:25:03.6726787Z >>> 2025-08-26T21:25:03.6727238Z >>> # Example 2: an operator with data-dependent output shape 2025-08-26T21:25:03.6728014Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-08-26T21:25:03.6728733Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-08-26T21:25:03.6729274Z >>> x_np = x.numpy(force=True) 2025-08-26T21:25:03.6729812Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-26T21:25:03.6730395Z >>> return torch.tensor(res, device=x.device) 2025-08-26T21:25:03.6730902Z >>> 2025-08-26T21:25:03.6731370Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-08-26T21:25:03.6731973Z >>> def _(x): 2025-08-26T21:25:03.6732478Z >>> # Number of nonzero-elements is data-dependent. 2025-08-26T21:25:03.6733170Z >>> # Since we cannot peek at the data in an fake impl, 2025-08-26T21:25:03.6733894Z >>> # we use the ctx object to construct a new symint that 2025-08-26T21:25:03.6734551Z >>> # represents the data-dependent size. 2025-08-26T21:25:03.6735153Z >>> ctx = torch.library.get_ctx() 2025-08-26T21:25:03.6735708Z >>> nnz = ctx.new_dynamic_size() 2025-08-26T21:25:03.6736248Z >>> shape = [nnz, x.dim()] 2025-08-26T21:25:03.6736844Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-26T21:25:03.6737437Z >>> return result 2025-08-26T21:25:03.6737867Z >>> 2025-08-26T21:25:03.6738372Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-08-26T21:25:03.6738988Z >>> 2025-08-26T21:25:03.6739374Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-08-26T21:25:03.6740147Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-08-26T21:25:03.6740937Z >>> trace.print_readable() 2025-08-26T21:25:03.6741407Z >>> 2025-08-26T21:25:03.6742209Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-08-26T21:25:03.6742790Z 2025-08-26T21:25:03.6742931Z 2025-08-26T21:25:03.6743980Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-08-26T21:25:03.6745244Z 2025-08-26T21:25:03.6745389Z _._ = None 2025-08-26T21:25:03.6745735Z ^ 2025-08-26T21:25:03.6802661Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1482. 2025-08-26T21:25:03.6804055Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:03.6804980Z Returns the computed kernel for a given operator and dispatch key. 2025-08-26T21:25:03.6805477Z 2025-08-26T21:25:03.6805843Z This function retrieves the kernel that would be executed for a given 2025-08-26T21:25:03.6806766Z operator and dispatch key combination. The returned SafeKernelFunction 2025-08-26T21:25:03.6807632Z can be used to call the kernel in a boxed fashion. The intended use 2025-08-26T21:25:03.6808439Z case for this function is to retrieve the original kernel for a given 2025-08-26T21:25:03.6809262Z dispatch key and then register another kernel to the same dispatch key 2025-08-26T21:25:03.6810337Z that calls into the original kernel for certain cases. 2025-08-26T21:25:03.6810769Z 2025-08-26T21:25:03.6810928Z Args: 2025-08-26T21:25:03.6811430Z op: Operator name (along with the overload) or OpOverload object 2025-08-26T21:25:03.6812288Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-08-26T21:25:03.6813215Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-08-26T21:25:03.6814083Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-08-26T21:25:03.6814559Z 2025-08-26T21:25:03.6814700Z Returns: 2025-08-26T21:25:03.6815290Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-08-26T21:25:03.6815978Z call the kernel. 2025-08-26T21:25:03.6816267Z 2025-08-26T21:25:03.6816401Z Raises: 2025-08-26T21:25:03.6816820Z RuntimeError: If the operator does not exist. 2025-08-26T21:25:03.6817223Z 2025-08-26T21:25:03.6817371Z Example: 2025-08-26T21:25:03.6817766Z >>> # Get the CPU kernel for torch.add 2025-08-26T21:25:03.6818418Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-08-26T21:25:03.6819026Z >>> 2025-08-26T21:25:03.6819410Z >>> # You can also use DispatchKey enum 2025-08-26T21:25:03.6820185Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-08-26T21:25:03.6820889Z >>> 2025-08-26T21:25:03.6821251Z >>> # Or use an OpOverload directly 2025-08-26T21:25:03.6821956Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-08-26T21:25:03.6822662Z >>> 2025-08-26T21:25:03.6823214Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-08-26T21:25:03.6823952Z >>> # Get the original kernel for torch.sin 2025-08-26T21:25:03.6824692Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-08-26T21:25:03.6825380Z >>> 2025-08-26T21:25:03.6825942Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-08-26T21:25:03.6826740Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-08-26T21:25:03.6827315Z >>> if (x < 0).any(): 2025-08-26T21:25:03.6827930Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-08-26T21:25:03.6828727Z >>> else: 2025-08-26T21:25:03.6829172Z >>> return torch.zeros_like(x) 2025-08-26T21:25:03.6829659Z >>> 2025-08-26T21:25:03.6830082Z >>> lib = torch.library.Library("aten", "IMPL") 2025-08-26T21:25:03.6831210Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-08-26T21:25:03.6832131Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-08-26T21:25:03.6832919Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-08-26T21:25:03.6833696Z >>> 2025-08-26T21:25:03.6834074Z >>> # Test the conditional behavior 2025-08-26T21:25:03.6834623Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-08-26T21:25:03.6835185Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-08-26T21:25:03.6835717Z >>> torch.sin(x_positive) 2025-08-26T21:25:03.6836193Z tensor([0., 0.]) 2025-08-26T21:25:03.6836636Z >>> torch.sin(x_mixed) 2025-08-26T21:25:03.6837105Z tensor([-0.8415, 0.9093]) 2025-08-26T21:25:03.6837546Z 2025-08-26T21:25:03.6838512Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-08-26T21:25:03.6839455Z 2025-08-26T21:25:03.6839767Z which needs to be the first argument to ``kernel.call_boxed`` 2025-08-26T21:25:03.6840384Z ^ 2025-08-26T21:25:03.9147000Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=434. 2025-08-26T21:25:03.9149116Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:03.9149956Z Retrieves the CUDA runtime API module. 2025-08-26T21:25:03.9150349Z 2025-08-26T21:25:03.9150358Z 2025-08-26T21:25:03.9150788Z This function initializes the CUDA runtime environment if it is not already 2025-08-26T21:25:03.9151805Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-08-26T21:25:03.9152769Z runtime API module provides access to various CUDA runtime functions. 2025-08-26T21:25:03.9153345Z 2025-08-26T21:25:03.9153528Z Args: 2025-08-26T21:25:03.9153897Z ``None`` 2025-08-26T21:25:03.9154143Z 2025-08-26T21:25:03.9154345Z Returns: 2025-08-26T21:25:03.9154850Z module: The CUDA runtime API module (_cudart). 2025-08-26T21:25:03.9155319Z 2025-08-26T21:25:03.9155465Z Raises: 2025-08-26T21:25:03.9156065Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-08-26T21:25:03.9157230Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-08-26T21:25:03.9158049Z 2025-08-26T21:25:03.9158299Z Example of CUDA operations with profiling: 2025-08-26T21:25:03.9158878Z >>> import torch 2025-08-26T21:25:03.9159397Z >>> from torch.cuda import cudart, check_error 2025-08-26T21:25:03.9159973Z >>> import os 2025-08-26T21:25:03.9160382Z >>> 2025-08-26T21:25:03.9160790Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-08-26T21:25:03.9161306Z >>> 2025-08-26T21:25:03.9161794Z >>> def perform_cuda_operations_with_streams(): 2025-08-26T21:25:03.9162443Z >>> stream = torch.cuda.Stream() 2025-08-26T21:25:03.9163003Z >>> with torch.cuda.stream(stream): 2025-08-26T21:25:03.9163571Z >>> x = torch.randn(100, 100, device='cuda') 2025-08-26T21:25:03.9164148Z >>> y = torch.randn(100, 100, device='cuda') 2025-08-26T21:25:03.9164705Z >>> z = torch.mul(x, y) 2025-08-26T21:25:03.9165200Z >>> return z 2025-08-26T21:25:03.9165594Z >>> 2025-08-26T21:25:03.9165974Z >>> torch.cuda.synchronize() 2025-08-26T21:25:03.9166513Z >>> print("====== Start nsys profiling ======") 2025-08-26T21:25:03.9167115Z >>> check_error(cudart().cudaProfilerStart()) 2025-08-26T21:25:03.9167717Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-08-26T21:25:03.9168354Z >>> result = perform_cuda_operations_with_streams() 2025-08-26T21:25:03.9168973Z >>> print("CUDA operations completed.") 2025-08-26T21:25:03.9169594Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-08-26T21:25:03.9170548Z >>> print("====== End nsys profiling ======") 2025-08-26T21:25:03.9170926Z 2025-08-26T21:25:03.9171251Z To run this example and save the profiling information, execute: 2025-08-26T21:25:03.9172320Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-26T21:25:03.9173212Z 2025-08-26T21:25:03.9173610Z This command profiles the CUDA operations in the provided script and saves 2025-08-26T21:25:03.9174472Z the profiling information to a file named `trace_name.prof`. 2025-08-26T21:25:03.9175302Z The `--profile-from-start off` option ensures that profiling starts only 2025-08-26T21:25:03.9176065Z after the `cudaProfilerStart` call in the script. 2025-08-26T21:25:03.9176801Z The `--csv` and `--print-summary` options format the profiling output as a 2025-08-26T21:25:03.9177537Z CSV file and print a summary, respectively. 2025-08-26T21:25:03.9178286Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-08-26T21:25:03.9179090Z overwrite of the output file if it already exists. 2025-08-26T21:25:03.9179630Z 2025-08-26T21:25:03.9180817Z 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', 1, 2)) 2025-08-26T21:25:03.9182167Z 2025-08-26T21:25:03.9182737Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-26T21:25:03.9183637Z ^ 2025-08-26T21:25:03.9722568Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=66. 2025-08-26T21:25:03.9724126Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:03.9725184Z Check if the current accelerator is available at runtime: it was build, all the 2025-08-26T21:25:03.9726176Z required drivers are available and at least one device is visible. 2025-08-26T21:25:03.9726990Z See :ref:`accelerator` for details. 2025-08-26T21:25:03.9727436Z 2025-08-26T21:25:03.9727595Z Returns: 2025-08-26T21:25:03.9728294Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-08-26T21:25:03.9728950Z 2025-08-26T21:25:03.9729405Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-08-26T21:25:03.9730448Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-08-26T21:25:03.9731506Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-08-26T21:25:03.9732379Z :ref:`multiprocessing-poison-fork-note`. 2025-08-26T21:25:03.9732778Z 2025-08-26T21:25:03.9732942Z Example:: 2025-08-26T21:25:03.9733159Z 2025-08-26T21:25:03.9733601Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T21:25:03.9734324Z 2025-08-26T21:25:03.9735381Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-08-26T21:25:03.9736411Z 2025-08-26T21:25:03.9736829Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T21:25:03.9737570Z ^ 2025-08-26T21:25:03.9744595Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=212. 2025-08-26T21:25:03.9746223Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:03.9747208Z Wait for all kernels in all streams on the given device to complete. 2025-08-26T21:25:03.9747746Z 2025-08-26T21:25:03.9747902Z Args: 2025-08-26T21:25:03.9748791Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-08-26T21:25:03.9750336Z the current :ref:`accelerator` device type. If not given, 2025-08-26T21:25:03.9751262Z use :func:`torch.accelerator.current_device_index` by default. 2025-08-26T21:25:03.9751774Z 2025-08-26T21:25:03.9752292Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-08-26T21:25:03.9753108Z 2025-08-26T21:25:03.9753260Z Example:: 2025-08-26T21:25:03.9753485Z 2025-08-26T21:25:03.9753712Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T21:25:03.9754520Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T21:25:03.9755342Z >>> start_event = torch.Event(enable_timing=True) 2025-08-26T21:25:03.9755957Z >>> end_event = torch.Event(enable_timing=True) 2025-08-26T21:25:03.9756520Z >>> start_event.record() 2025-08-26T21:25:03.9757206Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-08-26T21:25:03.9757945Z >>> sum = torch.sum(tensor) 2025-08-26T21:25:03.9758433Z >>> end_event.record() 2025-08-26T21:25:03.9758931Z >>> torch.accelerator.synchronize() 2025-08-26T21:25:03.9759554Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-08-26T21:25:03.9760129Z 2025-08-26T21:25:03.9761338Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-08-26T21:25:03.9762392Z 2025-08-26T21:25:03.9762827Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T21:25:03.9763616Z ^ 2025-08-26T21:25:04.0496222Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94. 2025-08-26T21:25:04.0497970Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T21:25:04.0498625Z 2025-08-26T21:25:04.0499045Z Registers a fake kernel based on the given operator profiles. This fake 2025-08-26T21:25:04.0500030Z kernel registration will override any existing fake kernel registrations. 2025-08-26T21:25:04.0500645Z 2025-08-26T21:25:04.0501005Z The input is a dictionary mapping operator names to a set of operator 2025-08-26T21:25:04.0501945Z profiles, which we will use to generate fake kernels. The operator profiles 2025-08-26T21:25:04.0502874Z are a record of the input and output tensor metadata. Based on this 2025-08-26T21:25:04.0503791Z information we will match a given input to the recorded profile, and return 2025-08-26T21:25:04.0504751Z an output with the same metadata as in the recorded profile. If a profile 2025-08-26T21:25:04.0505556Z doesn't exist then an exception will be thrown. 2025-08-26T21:25:04.0505973Z 2025-08-26T21:25:04.0506368Z The fake kernel generation is considered unsafe because it relies on the 2025-08-26T21:25:04.0507330Z rigid, pre-defined operator profiles that do not account for potential 2025-08-26T21:25:04.0508453Z variations in output behavior. Specifically, the generated kernels assume a 2025-08-26T21:25:04.0509464Z fixed relationship between input and output ranks. However, in reality, it's 2025-08-26T21:25:04.0510469Z possible that data-dependent operations may produce outputs of different 2025-08-26T21:25:04.0511415Z ranks even when given inputs of the same rank. The generated fake kernels 2025-08-26T21:25:04.0512307Z are inflexible and unable to accommodate these nuances, making them 2025-08-26T21:25:04.0513023Z potentially unsafe. 2025-08-26T21:25:04.0513295Z 2025-08-26T21:25:04.0513440Z Args: 2025-08-26T21:25:04.0514011Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-08-26T21:25:04.0514893Z name to a set of operator profiles from which we will generate fake 2025-08-26T21:25:04.0515556Z kernels. 2025-08-26T21:25:04.0515803Z 2025-08-26T21:25:04.0515956Z Examples: 2025-08-26T21:25:04.0516167Z 2025-08-26T21:25:04.0516920Z >>> # Example: Registering an op-profile from draft-export 2025-08-26T21:25:04.0517581Z >>> import torch 2025-08-26T21:25:04.0518125Z >>> from torch.export._draft_export import draft_export 2025-08-26T21:25:04.0518735Z >>> 2025-08-26T21:25:04.0519266Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-08-26T21:25:04.0520137Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-08-26T21:25:04.0520680Z >>> return x + y 2025-08-26T21:25:04.0521108Z >>> 2025-08-26T21:25:04.0521497Z >>> class M(torch.nn.Module): 2025-08-26T21:25:04.0522013Z >>> def forward(self, a, b): 2025-08-26T21:25:04.0522605Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-08-26T21:25:04.0523215Z >>> return res 2025-08-26T21:25:04.0523639Z >>> 2025-08-26T21:25:04.0524122Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-08-26T21:25:04.0524730Z >>> 2025-08-26T21:25:04.0525426Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-08-26T21:25:04.0526325Z >>> decomp = ep.run_decompositions() 2025-08-26T21:25:04.0526703Z 2025-08-26T21:25:04.0526711Z 2025-08-26T21:25:04.0527500Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-08-26T21:25:04.0528645Z 2025-08-26T21:25:04.0666019Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=397. 2025-08-26T21:25:04.0667702Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:04.0668843Z Register a FakeTensor implementation for this custom op. 2025-08-26T21:25:04.0669323Z 2025-08-26T21:25:04.0669768Z This is necessary to get the operator to work efficiently with torch.compile. 2025-08-26T21:25:04.0670383Z 2025-08-26T21:25:04.0670793Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-08-26T21:25:04.0671719Z specifies the behavior of this operator on Tensors that carry no data. 2025-08-26T21:25:04.0672541Z Given some input Tensors with certain properties 2025-08-26T21:25:04.0673404Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-08-26T21:25:04.0674238Z the output Tensors are. 2025-08-26T21:25:04.0674564Z 2025-08-26T21:25:04.0674929Z Please see :func:`torch.library.register_fake` for more details. 2025-08-26T21:25:04.0675482Z 2025-08-26T21:25:04.0675638Z Args: 2025-08-26T21:25:04.0676175Z fn (Callable): The function to register as the FakeTensor 2025-08-26T21:25:04.0676833Z implementation. 2025-08-26T21:25:04.0677151Z 2025-08-26T21:25:04.0677309Z Examples: 2025-08-26T21:25:04.0677730Z >>> import torch 2025-08-26T21:25:04.0678213Z >>> import numpy as np 2025-08-26T21:25:04.0678735Z >>> from torch import Tensor 2025-08-26T21:25:04.0679254Z >>> 2025-08-26T21:25:04.0679811Z >>> # Example 1: an operator without data-dependent output shape 2025-08-26T21:25:04.0680654Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-08-26T21:25:04.0681481Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-26T21:25:04.0682206Z >>> return (x @ weight.t()) + bias 2025-08-26T21:25:04.0682729Z >>> 2025-08-26T21:25:04.0683136Z >>> @linear.register_fake 2025-08-26T21:25:04.0683660Z >>> def _(x, weight, bias): 2025-08-26T21:25:04.0684167Z >>> assert x.dim() == 2 2025-08-26T21:25:04.0684687Z >>> assert weight.dim() == 2 2025-08-26T21:25:04.0685228Z >>> assert bias.dim() == 1 2025-08-26T21:25:04.0685796Z >>> assert x.shape[1] == weight.shape[1] 2025-08-26T21:25:04.0686410Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-26T21:25:04.0687481Z >>> assert x.device == weight.device 2025-08-26T21:25:04.0688148Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-08-26T21:25:04.0688713Z >>> 2025-08-26T21:25:04.0689110Z >>> x = torch.randn(2, 2) 2025-08-26T21:25:04.0689629Z >>> weight = torch.randn(2, 2) 2025-08-26T21:25:04.0690311Z >>> bias = torch.randn(2) 2025-08-26T21:25:04.0690868Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T21:25:04.0691598Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-08-26T21:25:04.0692322Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T21:25:04.0693128Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-08-26T21:25:04.0693867Z >>> 2025-08-26T21:25:04.0694378Z >>> # Example 2: an operator with data-dependent output shape 2025-08-26T21:25:04.0707091Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-08-26T21:25:04.0707869Z >>> def nonzero(x: Tensor) -> Tensor: 2025-08-26T21:25:04.0708606Z >>> x_np = x.cpu().numpy() 2025-08-26T21:25:04.0709202Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-26T21:25:04.0710163Z >>> return torch.tensor(res, device=x.device) 2025-08-26T21:25:04.0710709Z >>> 2025-08-26T21:25:04.0711134Z >>> @nonzero.register_fake 2025-08-26T21:25:04.0711646Z >>> def _(x): 2025-08-26T21:25:04.0712199Z >>> # Number of nonzero-elements is data-dependent. 2025-08-26T21:25:04.0712884Z >>> # Since we cannot peek at the data in an abstract impl, 2025-08-26T21:25:04.0713566Z >>> # we use the ctx object to construct a new symint that 2025-08-26T21:25:04.0714188Z >>> # represents the data-dependent size. 2025-08-26T21:25:04.0714753Z >>> ctx = torch.library.get_ctx() 2025-08-26T21:25:04.0715300Z >>> nnz = ctx.new_dynamic_size() 2025-08-26T21:25:04.0715821Z >>> shape = [nnz, x.dim()] 2025-08-26T21:25:04.0716392Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-26T21:25:04.0716951Z >>> return result 2025-08-26T21:25:04.0717384Z >>> 2025-08-26T21:25:04.0717787Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-08-26T21:25:04.0718360Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T21:25:04.0718997Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-08-26T21:25:04.0719614Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T21:25:04.0720219Z >>> assert torch.allclose(out, x.nonzero()) 2025-08-26T21:25:04.0720595Z 2025-08-26T21:25:04.0720745Z 2025-08-26T21:25:04.0721737Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-08-26T21:25:04.0722717Z 2025-08-26T21:25:04.0722856Z _._ = None 2025-08-26T21:25:04.0723192Z ^ 2025-08-26T21:25:05.4605045Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=721. 2025-08-26T21:25:05.4606801Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:05.4607449Z 2025-08-26T21:25:05.4607916Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-08-26T21:25:05.4608989Z The submesh created consists of the dimensions and the communicators indicated by 2025-08-26T21:25:05.4609770Z ``mesh_dim_names`` 2025-08-26T21:25:05.4610031Z 2025-08-26T21:25:05.4610176Z Args: 2025-08-26T21:25:05.4610780Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-08-26T21:25:05.4611672Z mesh dimension of the DeviceMesh to create the submesh for. 2025-08-26T21:25:05.4612320Z Returns: 2025-08-26T21:25:05.4613496Z A :class:`DeviceMesh` object 2025-08-26T21:25:05.4613839Z 2025-08-26T21:25:05.4614324Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-08-26T21:25:05.4615139Z In the first example: 2025-08-26T21:25:05.4615835Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-08-26T21:25:05.4617069Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-08-26T21:25:05.4618042Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-08-26T21:25:05.4618940Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-08-26T21:25:05.4619822Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-08-26T21:25:05.4620710Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-08-26T21:25:05.4621257Z 2025-08-26T21:25:05.4621431Z In the second example: 2025-08-26T21:25:05.4622160Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-08-26T21:25:05.4623204Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-08-26T21:25:05.4624408Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-08-26T21:25:05.4625417Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-08-26T21:25:05.4626019Z 2025-08-26T21:25:05.4626201Z Example:: 2025-08-26T21:25:05.4626422Z 2025-08-26T21:25:05.4626607Z >>> # xdoctest: +SKIP("no rank") 2025-08-26T21:25:05.4627259Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-08-26T21:25:05.4627881Z >>> 2025-08-26T21:25:05.4628612Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-08-26T21:25:05.4629366Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-08-26T21:25:05.4630210Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-26T21:25:05.4630994Z >>> tp_mesh = mesh_2d["tp"] 2025-08-26T21:25:05.4631463Z >>> dp_mesh = mesh_2d["dp"] 2025-08-26T21:25:05.4631899Z >>> 2025-08-26T21:25:05.4632272Z >>> # Initialize a 3D mesh. 2025-08-26T21:25:05.4633039Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-08-26T21:25:05.4634190Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-08-26T21:25:05.4635071Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-08-26T21:25:05.4635612Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-08-26T21:25:05.4635964Z 2025-08-26T21:25:05.4637056Z 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', 6, 83)) 2025-08-26T21:25:05.4638299Z 2025-08-26T21:25:05.4638715Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-26T21:25:05.4639529Z ^ 2025-08-26T21:25:05.9536185Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-08-26T21:25:05.9538027Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:05.9538662Z 2025-08-26T21:25:05.9539151Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-08-26T21:25:05.9539818Z 2025-08-26T21:25:05.9540316Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-08-26T21:25:05.9540976Z 2025-08-26T21:25:05.9541438Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-26T21:25:05.9542287Z will be visible to the whole process. 2025-08-26T21:25:05.9543215Z 2025-08-26T21:25:05.9543712Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-08-26T21:25:05.9544350Z 2025-08-26T21:25:05.9544579Z 1) set_up_planner - called on all ranks. 2025-08-26T21:25:05.9545172Z Signals the start of a checkpoint save. 2025-08-26T21:25:05.9545732Z 2025-08-26T21:25:05.9545945Z 2) create_local_plan - called on all ranks. 2025-08-26T21:25:05.9546788Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-08-26T21:25:05.9547440Z 2025-08-26T21:25:05.9547761Z 3) create_global_plan - called on the coordinator rank only. 2025-08-26T21:25:05.9548786Z Takes the SavePlan from all ranks and make any global decision. 2025-08-26T21:25:05.9549305Z 2025-08-26T21:25:05.9549510Z 4) finish_plan - called on all ranks. 2025-08-26T21:25:05.9550237Z This gives each rank a chance to adjust to global planning decisions. 2025-08-26T21:25:05.9550796Z 2025-08-26T21:25:05.9551078Z 5) resolve_data - called multiple times on each rank 2025-08-26T21:25:05.9551871Z Lookups a value on the `state_dict` for the storage layer to write. 2025-08-26T21:25:05.9552408Z 2025-08-26T21:25:05.9552906Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-08-26T21:25:05.9554126Z most changes can be expressed by changes in a single method. 2025-08-26T21:25:05.9554641Z 2025-08-26T21:25:05.9554859Z There are 3 usual patterns of extension: 2025-08-26T21:25:05.9555252Z 2025-08-26T21:25:05.9555678Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-08-26T21:25:05.9556667Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-08-26T21:25:05.9557229Z 2025-08-26T21:25:05.9557431Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T21:25:05.9558033Z >>> class RenamePlanner(DefaultSavePlanner): 2025-08-26T21:25:05.9558612Z >>> def set_up_planner( 2025-08-26T21:25:05.9559057Z >>> self, 2025-08-26T21:25:05.9559516Z >>> state_dict: STATE_DICT_TYPE, 2025-08-26T21:25:05.9560087Z >>> storage_meta: Optional[StorageMeta], 2025-08-26T21:25:05.9560652Z >>> is_coordinator: bool, 2025-08-26T21:25:05.9561158Z >>> ) -> None: 2025-08-26T21:25:05.9561607Z >>> # prefix all keys with `foo_`` 2025-08-26T21:25:05.9562442Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-08-26T21:25:05.9563115Z 2025-08-26T21:25:05.9563642Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-08-26T21:25:05.9564333Z 2025-08-26T21:25:05.9564518Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T21:25:05.9565088Z >>> class FP16Planner(DefaultSavePlanner): 2025-08-26T21:25:05.9565628Z >>> def create_local_plan(self): 2025-08-26T21:25:05.9566142Z >>> plan = super().create_local_plan() 2025-08-26T21:25:05.9566659Z >>> for p in plan: 2025-08-26T21:25:05.9567121Z >>> if p.tensor_data is not None: 2025-08-26T21:25:05.9567733Z >>> p.tensor_data.properties.dtype = torch.float16 2025-08-26T21:25:05.9568322Z >>> return plan 2025-08-26T21:25:05.9568699Z >>> 2025-08-26T21:25:05.9569070Z >>> def resolve_data(self, write_item): 2025-08-26T21:25:05.9569624Z >>> item = super().resolve_data(write_item) 2025-08-26T21:25:05.9570444Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-08-26T21:25:05.9571061Z 2025-08-26T21:25:05.9571581Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-08-26T21:25:05.9572286Z 2025-08-26T21:25:05.9572470Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T21:25:05.9572998Z >>> from itertools import zip_longest 2025-08-26T21:25:05.9573502Z >>> from dataclasses import replace 2025-08-26T21:25:05.9574096Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-08-26T21:25:05.9575251Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-08-26T21:25:05.9576069Z >>> # This sample doesn't handle ShardedTensors 2025-08-26T21:25:05.9576640Z >>> def create_global_plan(self, all_plans): 2025-08-26T21:25:05.9577239Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-08-26T21:25:05.9577954Z >>> items_per_rank = [ 2025-08-26T21:25:05.9578444Z >>> [item for item in items if item is not None] 2025-08-26T21:25:05.9579084Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-08-26T21:25:05.9579644Z >>> ] 2025-08-26T21:25:05.9580016Z >>> all_plans = [ 2025-08-26T21:25:05.9580456Z >>> replace(plan, items=items) 2025-08-26T21:25:05.9581081Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-08-26T21:25:05.9581684Z >>> ] 2025-08-26T21:25:05.9582117Z >>> return super().create_global_plan(all_plans) 2025-08-26T21:25:05.9582501Z 2025-08-26T21:25:05.9582967Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-08-26T21:25:05.9584028Z accomplished by having each rank contribute their data items in the local plan and 2025-08-26T21:25:05.9584841Z the global planner aggregate them: 2025-08-26T21:25:05.9585181Z 2025-08-26T21:25:05.9585523Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T21:25:05.9586147Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-08-26T21:25:05.9586791Z >>> def create_local_plan(self) -> SavePlan: 2025-08-26T21:25:05.9587383Z >>> plan = super().create_local_plan() 2025-08-26T21:25:05.9588128Z >>> return replace(plan, planner_data="per-rank-data") 2025-08-26T21:25:05.9588717Z >>> 2025-08-26T21:25:05.9589401Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-08-26T21:25:05.9590400Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-08-26T21:25:05.9591172Z >>> merged_data = [p.planner_data for p in global_plan] 2025-08-26T21:25:05.9591901Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-08-26T21:25:05.9592556Z >>> return global_plan, metadata 2025-08-26T21:25:05.9592894Z 2025-08-26T21:25:05.9593715Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-08-26T21:25:05.9594683Z 2025-08-26T21:25:05.9594830Z _._ = None 2025-08-26T21:25:05.9595152Z ^ 2025-08-26T21:25:05.9596274Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-08-26T21:25:05.9597723Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:05.9598277Z 2025-08-26T21:25:05.9598730Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-08-26T21:25:05.9599345Z 2025-08-26T21:25:05.9599793Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-08-26T21:25:05.9600406Z 2025-08-26T21:25:05.9600843Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-26T21:25:05.9601627Z will be visible to the whole process. 2025-08-26T21:25:05.9601962Z 2025-08-26T21:25:05.9602398Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-08-26T21:25:05.9602993Z 2025-08-26T21:25:05.9603190Z 1) set_up_planner - called on all ranks. 2025-08-26T21:25:05.9603744Z Signals the start of loading a checkpoint. 2025-08-26T21:25:05.9604112Z 2025-08-26T21:25:05.9604316Z 2) create_local_plan - called on all ranks. 2025-08-26T21:25:05.9605119Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-08-26T21:25:05.9605733Z 2025-08-26T21:25:05.9606027Z 3) create_global_plan - called on the coordinator rank only. 2025-08-26T21:25:05.9606773Z Takes the LoadPlan from all ranks and make any global decision. 2025-08-26T21:25:05.9607533Z 2025-08-26T21:25:05.9607772Z 4) load_bytes - called multiple times on each rank 2025-08-26T21:25:05.9608423Z This is called once per non-tensor value in state_dict. 2025-08-26T21:25:05.9608861Z 2025-08-26T21:25:05.9609198Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-08-26T21:25:05.9610196Z They are called in pair for each Tensor value in state_dict. 2025-08-26T21:25:05.9610658Z 2025-08-26T21:25:05.9611119Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-08-26T21:25:05.9612038Z most changes can be expressed by changes in a single method. 2025-08-26T21:25:05.9612494Z 2025-08-26T21:25:05.9612725Z There are two usual patterns of extension: 2025-08-26T21:25:05.9613116Z 2025-08-26T21:25:05.9613532Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-08-26T21:25:05.9614539Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-08-26T21:25:05.9615516Z to keep a reference to the original state_dict as load happens in place so 2025-08-26T21:25:05.9616281Z we need to be able to perform it in place 2025-08-26T21:25:05.9616658Z 2025-08-26T21:25:05.9616869Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T21:25:05.9617458Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-08-26T21:25:05.9618189Z >>> def set_up_planner( 2025-08-26T21:25:05.9618625Z >>> self, 2025-08-26T21:25:05.9619042Z >>> state_dict: STATE_DICT_TYPE, 2025-08-26T21:25:05.9619566Z >>> metadata: Metadata, 2025-08-26T21:25:05.9620048Z >>> is_coordinator: bool, 2025-08-26T21:25:05.9620518Z >>> ) -> None: 2025-08-26T21:25:05.9620973Z >>> self.original_state_dict = state_dict 2025-08-26T21:25:05.9621645Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-08-26T21:25:05.9622255Z >>> 2025-08-26T21:25:05.9622649Z >>> if self.flatten_sharded_tensors: 2025-08-26T21:25:05.9623299Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-08-26T21:25:05.9623883Z >>> 2025-08-26T21:25:05.9624258Z >>> if self.flatten_state_dict: 2025-08-26T21:25:05.9624908Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-08-26T21:25:05.9625540Z >>> 2025-08-26T21:25:05.9625908Z >>> self.state_dict = state_dict 2025-08-26T21:25:05.9626454Z >>> self.metadata = metadata 2025-08-26T21:25:05.9627003Z >>> self.is_coordinator = is_coordinator 2025-08-26T21:25:05.9627522Z >>> 2025-08-26T21:25:05.9627915Z >>> def load_bytes(self, read_item, value): 2025-08-26T21:25:05.9628567Z >>> # Remove the "foo_" prefix 2025-08-26T21:25:05.9629388Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-08-26T21:25:05.9630106Z 2025-08-26T21:25:05.9630113Z 2025-08-26T21:25:05.9630539Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-08-26T21:25:05.9631156Z 2025-08-26T21:25:05.9631354Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T21:25:05.9631967Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-08-26T21:25:05.9632621Z >>> def resolve_tensor(self, read_item): 2025-08-26T21:25:05.9633167Z >>> tensor = super().resolve_tensor(read_item) 2025-08-26T21:25:05.9633772Z >>> return torch.empty_like(tensor, device="cpu") 2025-08-26T21:25:05.9634304Z >>> 2025-08-26T21:25:05.9634679Z >>> def commit_tensor(self, read_item, tensor): 2025-08-26T21:25:05.9635292Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-08-26T21:25:05.9635704Z 2025-08-26T21:25:05.9636525Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-08-26T21:25:05.9637498Z 2025-08-26T21:25:05.9637646Z _._ = None 2025-08-26T21:25:05.9637972Z ^ 2025-08-26T21:25:06.0374057Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295. 2025-08-26T21:25:06.0375981Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:06.0376595Z 2025-08-26T21:25:06.0376966Z ``FullStateDictConfig`` is a config class meant to be used with 2025-08-26T21:25:06.0377836Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-08-26T21:25:06.0378877Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-08-26T21:25:06.0379769Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-08-26T21:25:06.0380654Z is meant to be used via the :func:`state_dict_type` context manager as 2025-08-26T21:25:06.0381329Z follows: 2025-08-26T21:25:06.0381553Z 2025-08-26T21:25:06.0381784Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T21:25:06.0382593Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-26T21:25:06.0383380Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-08-26T21:25:06.0384075Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-08-26T21:25:06.0384902Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-08-26T21:25:06.0385601Z >>> state = fsdp.state_dict() 2025-08-26T21:25:06.0386262Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-08-26T21:25:06.0387305Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-08-26T21:25:06.0388364Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-08-26T21:25:06.0389090Z >>> if dist.get_rank() == 0: 2025-08-26T21:25:06.0389687Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-08-26T21:25:06.0390385Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-08-26T21:25:06.0390992Z >>> model.load_state_dict(state_dict) 2025-08-26T21:25:06.0391702Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-08-26T21:25:06.0392667Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-08-26T21:25:06.0393424Z >>> fsdp = FSDP( 2025-08-26T21:25:06.0393837Z ... model, 2025-08-26T21:25:06.0394295Z ... device_id=torch.cuda.current_device(), 2025-08-26T21:25:06.0394881Z ... auto_wrap_policy=..., 2025-08-26T21:25:06.0395400Z ... sync_module_states=True, 2025-08-26T21:25:06.0395889Z ... ) 2025-08-26T21:25:06.0396446Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-08-26T21:25:06.0396985Z 2025-08-26T21:25:06.0397145Z Attributes: 2025-08-26T21:25:06.0397703Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-08-26T21:25:06.0398551Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-08-26T21:25:06.0399323Z ranks save the full state dict. (Default: ``False``) 2025-08-26T21:25:06.0399771Z 2025-08-26T21:25:06.0400594Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-08-26T21:25:06.0401583Z 2025-08-26T21:25:06.0401729Z _._ = None 2025-08-26T21:25:06.0402083Z ^ 2025-08-26T21:25:06.5206305Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1233. 2025-08-26T21:25:06.5208104Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:06.5209086Z Reduce learning rate when a metric has stopped improving. 2025-08-26T21:25:06.5209594Z 2025-08-26T21:25:06.5209953Z Models often benefit from reducing the learning rate by a factor 2025-08-26T21:25:06.5210802Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-08-26T21:25:06.5211647Z quantity and if no improvement is seen for a 'patience' number 2025-08-26T21:25:06.5212366Z of epochs, the learning rate is reduced. 2025-08-26T21:25:06.5212763Z 2025-08-26T21:25:06.5212916Z Args: 2025-08-26T21:25:06.5214064Z optimizer (Optimizer): Wrapped optimizer. 2025-08-26T21:25:06.5214764Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-08-26T21:25:06.5215486Z be reduced when the quantity monitored has stopped 2025-08-26T21:25:06.5216218Z decreasing; in `max` mode it will be reduced when the 2025-08-26T21:25:06.5217192Z quantity monitored has stopped increasing. Default: 'min'. 2025-08-26T21:25:06.5217980Z factor (float): Factor by which the learning rate will be 2025-08-26T21:25:06.5218682Z reduced. new_lr = lr * factor. Default: 0.1. 2025-08-26T21:25:06.5219473Z patience (int): The number of allowed epochs with no improvement after 2025-08-26T21:25:06.5220264Z which the learning rate will be reduced. 2025-08-26T21:25:06.5221059Z For example, consider the case of having no patience (`patience = 0`). 2025-08-26T21:25:06.5222239Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-08-26T21:25:06.5223366Z In the second epoch, if the performance is worse than the baseline, 2025-08-26T21:25:06.5224153Z we have what is considered an intolerable epoch. 2025-08-26T21:25:06.5225030Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-08-26T21:25:06.5226131Z the learning rate is reduced at the end of this epoch. 2025-08-26T21:25:06.5227137Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-08-26T21:25:06.5228573Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-08-26T21:25:06.5229490Z the learning rate is not adjusted. 2025-08-26T21:25:06.5230041Z Default: 10. 2025-08-26T21:25:06.5230649Z threshold (float): Threshold for measuring the new optimum, 2025-08-26T21:25:06.5231424Z to only focus on significant changes. Default: 1e-4. 2025-08-26T21:25:06.5232172Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-08-26T21:25:06.5232917Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-08-26T21:25:06.5233612Z mode or best * ( 1 - threshold ) in `min` mode. 2025-08-26T21:25:06.5234316Z In `abs` mode, dynamic_threshold = best + threshold in 2025-08-26T21:25:06.5235061Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-08-26T21:25:06.5235831Z cooldown (int): Number of epochs to wait before resuming 2025-08-26T21:25:06.5236594Z normal operation after lr has been reduced. Default: 0. 2025-08-26T21:25:06.5237334Z min_lr (float or list): A scalar or a list of scalars. A 2025-08-26T21:25:06.5238043Z lower bound on the learning rate of all param groups 2025-08-26T21:25:06.5238718Z or each group respectively. Default: 0. 2025-08-26T21:25:06.5239429Z eps (float): Minimal decay applied to lr. If the difference 2025-08-26T21:25:06.5240205Z between new and old lr is smaller than eps, the update is 2025-08-26T21:25:06.5240873Z ignored. Default: 1e-8. 2025-08-26T21:25:06.5241198Z 2025-08-26T21:25:06.5241364Z Example: 2025-08-26T21:25:06.5241765Z >>> # xdoctest: +SKIP 2025-08-26T21:25:06.5242458Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-08-26T21:25:06.5243298Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-08-26T21:25:06.5243922Z >>> for epoch in range(10): 2025-08-26T21:25:06.5244408Z >>> train(...) 2025-08-26T21:25:06.5244872Z >>> val_loss = validate(...) 2025-08-26T21:25:06.5245485Z >>> # Note that step should be called after validate() 2025-08-26T21:25:06.5246120Z >>> scheduler.step(val_loss) 2025-08-26T21:25:06.5246468Z 2025-08-26T21:25:06.5246840Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-08-26T21:25:06.5247791Z 2025-08-26T21:25:06.5248686Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-08-26T21:25:06.5249541Z 2025-08-26T21:25:06.5249737Z scheduler.step(val_loss) 2025-08-26T21:25:06.5250347Z ^ 2025-08-26T21:25:06.5689567Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-08-26T21:25:06.5691137Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:06.5691773Z 2025-08-26T21:25:06.5692155Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-08-26T21:25:06.5693043Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-08-26T21:25:06.5693920Z pushes the map into PyTorch operations called by ``func``, effectively 2025-08-26T21:25:06.5694669Z vectorizing those operations. 2025-08-26T21:25:06.5695006Z 2025-08-26T21:25:06.5695428Z vmap is useful for handling batch dimensions: one can write a function 2025-08-26T21:25:06.5696311Z ``func`` that runs on examples and then lift it to a function that can 2025-08-26T21:25:06.5697161Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-08-26T21:25:06.5698294Z compute batched gradients when composed with autograd. 2025-08-26T21:25:06.5698768Z 2025-08-26T21:25:06.5698947Z .. note:: 2025-08-26T21:25:06.5699470Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-08-26T21:25:06.5700181Z convenience. Use whichever one you'd like. 2025-08-26T21:25:06.5700590Z 2025-08-26T21:25:06.5700734Z Args: 2025-08-26T21:25:06.5701288Z func (function): A Python function that takes one or more arguments. 2025-08-26T21:25:06.5702015Z Must return one or more Tensors. 2025-08-26T21:25:06.5702711Z in_dims (int or nested structure): Specifies which dimension of the 2025-08-26T21:25:06.5703519Z inputs should be mapped over. ``in_dims`` should have a 2025-08-26T21:25:06.5704340Z structure like the inputs. If the ``in_dim`` for a particular 2025-08-26T21:25:06.5705164Z input is None, then that indicates there is no map dimension. 2025-08-26T21:25:06.5705801Z Default: 0. 2025-08-26T21:25:06.5706377Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-08-26T21:25:06.5707200Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-08-26T21:25:06.5707955Z it should have one element per output. Default: 0. 2025-08-26T21:25:06.5708862Z randomness (str): Specifies whether the randomness in this 2025-08-26T21:25:06.5709694Z vmap should be the same or different across batches. If 'different', 2025-08-26T21:25:06.5710571Z the randomness for each batch will be different. If 'same', the 2025-08-26T21:25:06.5711427Z randomness will be the same across batches. If 'error', any calls to 2025-08-26T21:25:06.5712314Z random functions will error. Default: 'error'. WARNING: this flag 2025-08-26T21:25:06.5713166Z only applies to random PyTorch operations and does not apply to 2025-08-26T21:25:06.5713899Z Python's random module or numpy randomness. 2025-08-26T21:25:06.5714673Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-08-26T21:25:06.5715602Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-08-26T21:25:06.5716575Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-08-26T21:25:06.5717640Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-08-26T21:25:06.5718284Z 2025-08-26T21:25:06.5718449Z Returns: 2025-08-26T21:25:06.5718984Z Returns a new "batched" function. It takes the same inputs as 2025-08-26T21:25:06.5719801Z ``func``, except each input has an extra dimension at the index 2025-08-26T21:25:06.5720607Z specified by ``in_dims``. It takes returns the same outputs as 2025-08-26T21:25:06.5721774Z ``func``, except each output has an extra dimension at the index 2025-08-26T21:25:06.5722462Z specified by ``out_dims``. 2025-08-26T21:25:06.5722787Z 2025-08-26T21:25:06.5722934Z .. warning: 2025-08-26T21:25:06.5723482Z :func:`vmap` works best with functional-style code. Please do not 2025-08-26T21:25:06.5724467Z perform any side-effects in ``func``, with the exception of 2025-08-26T21:25:06.5725349Z in-place PyTorch operations. Examples of side-effects include mutating 2025-08-26T21:25:06.5726292Z Python data structures and assigning values to variables not captured 2025-08-26T21:25:06.5726984Z in ``func``. 2025-08-26T21:25:06.5727221Z 2025-08-26T21:25:06.5727618Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-08-26T21:25:06.5744972Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-08-26T21:25:06.5746068Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-08-26T21:25:06.5746651Z 2025-08-26T21:25:06.5746879Z >>> torch.dot # [D], [D] -> [] 2025-08-26T21:25:06.5747583Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-08-26T21:25:06.5748530Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-26T21:25:06.5749399Z >>> batched_dot(x, y) 2025-08-26T21:25:06.5749714Z 2025-08-26T21:25:06.5750107Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-08-26T21:25:06.5750882Z model authoring experience. 2025-08-26T21:25:06.5751206Z 2025-08-26T21:25:06.5751404Z >>> batch_size, feature_size = 3, 5 2025-08-26T21:25:06.5752066Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-26T21:25:06.5752684Z >>> 2025-08-26T21:25:06.5753060Z >>> def model(feature_vec): 2025-08-26T21:25:06.5753588Z >>> # Very simple linear model with activation 2025-08-26T21:25:06.5754199Z >>> return feature_vec.dot(weights).relu() 2025-08-26T21:25:06.5754723Z >>> 2025-08-26T21:25:06.5755175Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-26T21:25:06.5755815Z >>> result = torch.vmap(model)(examples) 2025-08-26T21:25:06.5756195Z 2025-08-26T21:25:06.5756623Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-08-26T21:25:06.5757630Z or impossible to batch. One example is higher-order gradient computation. 2025-08-26T21:25:06.5758590Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-08-26T21:25:06.5759524Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-08-26T21:25:06.5760486Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-08-26T21:25:06.5761456Z we can vectorize the whole computation, computing the Jacobian in a single 2025-08-26T21:25:06.5762213Z call to ``autograd.grad``. 2025-08-26T21:25:06.5762511Z 2025-08-26T21:25:06.5762671Z >>> # Setup 2025-08-26T21:25:06.5763051Z >>> N = 5 2025-08-26T21:25:06.5763432Z >>> f = lambda x: x**2 2025-08-26T21:25:06.5763925Z >>> x = torch.randn(N, requires_grad=True) 2025-08-26T21:25:06.5764436Z >>> y = f(x) 2025-08-26T21:25:06.5764828Z >>> I_N = torch.eye(N) 2025-08-26T21:25:06.5765235Z >>> 2025-08-26T21:25:06.5765603Z >>> # Sequential approach 2025-08-26T21:25:06.5766277Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-08-26T21:25:06.5767016Z >>> for v in I_N.unbind()] 2025-08-26T21:25:06.5767589Z >>> jacobian = torch.stack(jacobian_rows) 2025-08-26T21:25:06.5768099Z >>> 2025-08-26T21:25:06.5768493Z >>> # vectorized gradient computation 2025-08-26T21:25:06.5769023Z >>> def get_vjp(v): 2025-08-26T21:25:06.5769499Z >>> return torch.autograd.grad(y, x, v) 2025-08-26T21:25:06.5770064Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-08-26T21:25:06.5770437Z 2025-08-26T21:25:06.5770875Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-08-26T21:25:06.5771510Z 2025-08-26T21:25:06.5772016Z >>> torch.dot # [D], [D] -> [] 2025-08-26T21:25:06.5772547Z >>> batched_dot = torch.vmap( 2025-08-26T21:25:06.5773047Z ... torch.vmap(torch.dot) 2025-08-26T21:25:06.5773556Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-08-26T21:25:06.5774171Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-08-26T21:25:06.5774954Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-08-26T21:25:06.5775346Z 2025-08-26T21:25:06.5775748Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-08-26T21:25:06.5776576Z the dimension that each inputs are batched along as 2025-08-26T21:25:06.5777006Z 2025-08-26T21:25:06.5777196Z >>> torch.dot # [N], [N] -> [] 2025-08-26T21:25:06.5777888Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-08-26T21:25:06.5778635Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-26T21:25:06.5779167Z >>> batched_dot( 2025-08-26T21:25:06.5779558Z ... x, y 2025-08-26T21:25:06.5780121Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-08-26T21:25:06.5780630Z 2025-08-26T21:25:06.5781055Z If there are multiple inputs each of which is batched along different dimensions, 2025-08-26T21:25:06.5782005Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-08-26T21:25:06.5782685Z 2025-08-26T21:25:06.5782859Z >>> torch.dot # [D], [D] -> [] 2025-08-26T21:25:06.5783570Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-08-26T21:25:06.5784340Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-26T21:25:06.5784866Z >>> batched_dot( 2025-08-26T21:25:06.5785252Z ... x, y 2025-08-26T21:25:06.5785795Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-08-26T21:25:06.5786295Z 2025-08-26T21:25:06.5786683Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-08-26T21:25:06.5787440Z matching the shape of the input: 2025-08-26T21:25:06.5787770Z 2025-08-26T21:25:06.5788128Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-08-26T21:25:06.5788732Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-26T21:25:06.5789264Z >>> input = {"x": x, "y": y} 2025-08-26T21:25:06.5789850Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-08-26T21:25:06.5790497Z >>> batched_dot(input) 2025-08-26T21:25:06.5790791Z 2025-08-26T21:25:06.5791238Z By default, the output is batched along the first dimension. However, it can be batched 2025-08-26T21:25:06.5792076Z along any dimension by using ``out_dims`` 2025-08-26T21:25:06.5792456Z 2025-08-26T21:25:06.5792615Z >>> f = lambda x: x**2 2025-08-26T21:25:06.5793062Z >>> x = torch.randn(2, 5) 2025-08-26T21:25:06.5793595Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-08-26T21:25:06.5794152Z >>> batched_pow(x) # [5, 2] 2025-08-26T21:25:06.5794460Z 2025-08-26T21:25:06.5794960Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-08-26T21:25:06.5795776Z accept kwargs 2025-08-26T21:25:06.5796004Z 2025-08-26T21:25:06.5796181Z >>> x = torch.randn([2, 5]) 2025-08-26T21:25:06.5796659Z >>> def fn(x, scale=4.): 2025-08-26T21:25:06.5797118Z >>> return x * scale 2025-08-26T21:25:06.5797533Z >>> 2025-08-26T21:25:06.5797922Z >>> batched_pow = torch.vmap(fn) 2025-08-26T21:25:06.5798513Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-08-26T21:25:06.5799304Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-08-26T21:25:06.5799875Z 2025-08-26T21:25:06.5800036Z .. note:: 2025-08-26T21:25:06.5800713Z vmap does not provide general autobatching or handle variable-length 2025-08-26T21:25:06.5801498Z sequences out of the box. 2025-08-26T21:25:06.5801805Z 2025-08-26T21:25:06.5802979Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-08-26T21:25:06.5804016Z 2025-08-26T21:25:06.5804162Z _._ = None 2025-08-26T21:25:06.5804519Z ^ 2025-08-26T21:25:06.5805545Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-08-26T21:25:06.5806903Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:06.5808046Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-08-26T21:25:06.5808939Z input(s) specified by ``argnums``. This operator can be nested to 2025-08-26T21:25:06.5809636Z compute higher-order gradients. 2025-08-26T21:25:06.5809981Z 2025-08-26T21:25:06.5810132Z Args: 2025-08-26T21:25:06.5810679Z func (Callable): A Python function that takes one or more arguments. 2025-08-26T21:25:06.5811635Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-08-26T21:25:06.5812702Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-08-26T21:25:06.5813518Z ``(output, aux)``. 2025-08-26T21:25:06.5814270Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-08-26T21:25:06.5815243Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-08-26T21:25:06.5816336Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-08-26T21:25:06.5817148Z auxiliary objects: ``(output, aux)``. Default: False. 2025-08-26T21:25:06.5817609Z 2025-08-26T21:25:06.5817757Z Returns: 2025-08-26T21:25:06.5818440Z Function to compute gradients with respect to its inputs. By default, the output of 2025-08-26T21:25:06.5819468Z the function is the gradient tensor(s) with respect to the first argument. 2025-08-26T21:25:06.5820464Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-08-26T21:25:06.5821496Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-08-26T21:25:06.5822345Z respect to each ``argnums`` value is returned. 2025-08-26T21:25:06.5822760Z 2025-08-26T21:25:06.5822949Z Example of using ``grad``: 2025-08-26T21:25:06.5823265Z 2025-08-26T21:25:06.5823452Z >>> # xdoctest: +SKIP 2025-08-26T21:25:06.5823945Z >>> from torch.func import grad 2025-08-26T21:25:06.5824471Z >>> x = torch.randn([]) 2025-08-26T21:25:06.5824991Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-08-26T21:25:06.5825580Z >>> assert torch.allclose(cos_x, x.cos()) 2025-08-26T21:25:06.5826112Z >>> 2025-08-26T21:25:06.5826507Z >>> # Second-order gradients 2025-08-26T21:25:06.5827090Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-08-26T21:25:06.5827744Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-08-26T21:25:06.5828246Z 2025-08-26T21:25:06.5828678Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-08-26T21:25:06.5829276Z 2025-08-26T21:25:06.5829440Z >>> # xdoctest: +SKIP 2025-08-26T21:25:06.5829938Z >>> from torch.func import grad, vmap 2025-08-26T21:25:06.5830500Z >>> batch_size, feature_size = 3, 5 2025-08-26T21:25:06.5831016Z >>> 2025-08-26T21:25:06.5831437Z >>> def model(weights, feature_vec): 2025-08-26T21:25:06.5832023Z >>> # Very simple linear model with activation 2025-08-26T21:25:06.5832623Z >>> assert feature_vec.dim() == 1 2025-08-26T21:25:06.5833198Z >>> return feature_vec.dot(weights).relu() 2025-08-26T21:25:06.5833720Z >>> 2025-08-26T21:25:06.5834150Z >>> def compute_loss(weights, example, target): 2025-08-26T21:25:06.5834742Z >>> y = model(weights, example) 2025-08-26T21:25:06.5835334Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-08-26T21:25:06.5835886Z >>> 2025-08-26T21:25:06.5836805Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-26T21:25:06.5837545Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-26T21:25:06.5838162Z >>> targets = torch.randn(batch_size) 2025-08-26T21:25:06.5838739Z >>> inputs = (weights, examples, targets) 2025-08-26T21:25:06.5839511Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-08-26T21:25:06.5840410Z ... *inputs 2025-08-26T21:25:06.5840811Z ... ) 2025-08-26T21:25:06.5841026Z 2025-08-26T21:25:06.5841334Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-08-26T21:25:06.5841799Z 2025-08-26T21:25:06.5841981Z >>> # xdoctest: +SKIP 2025-08-26T21:25:06.5842457Z >>> from torch.func import grad 2025-08-26T21:25:06.5843001Z >>> def my_loss_func(y, y_pred): 2025-08-26T21:25:06.5843583Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-08-26T21:25:06.5844185Z >>> loss = loss_per_sample.mean() 2025-08-26T21:25:06.5844776Z >>> return loss, (y_pred, loss_per_sample) 2025-08-26T21:25:06.5845303Z >>> 2025-08-26T21:25:06.5845769Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-08-26T21:25:06.5846386Z >>> y_true = torch.rand(4) 2025-08-26T21:25:06.5846943Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-08-26T21:25:06.5847708Z >>> out = fn(y_true, y_preds) 2025-08-26T21:25:06.5848460Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-08-26T21:25:06.5849038Z 2025-08-26T21:25:06.5849204Z .. note:: 2025-08-26T21:25:06.5849702Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-08-26T21:25:06.5850176Z 2025-08-26T21:25:06.5850427Z Case 1: Using ``torch.no_grad`` inside a function: 2025-08-26T21:25:06.5850861Z 2025-08-26T21:25:06.5851036Z >>> # xdoctest: +SKIP 2025-08-26T21:25:06.5851519Z >>> def f(x): 2025-08-26T21:25:06.5851981Z >>> with torch.no_grad(): 2025-08-26T21:25:06.5852511Z >>> c = x ** 2 2025-08-26T21:25:06.5852999Z >>> return x - c 2025-08-26T21:25:06.5853308Z 2025-08-26T21:25:06.5853651Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-08-26T21:25:06.5854168Z 2025-08-26T21:25:06.5854493Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-08-26T21:25:06.5854987Z 2025-08-26T21:25:06.5855172Z >>> # xdoctest: +SKIP 2025-08-26T21:25:06.5855668Z >>> with torch.no_grad(): 2025-08-26T21:25:06.5856176Z >>> grad(f)(x) 2025-08-26T21:25:06.5856470Z 2025-08-26T21:25:06.5856850Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-08-26T21:25:06.5857774Z outer one. This is because ``grad`` is a "function transform": its result 2025-08-26T21:25:06.5858684Z should not depend on the result of a context manager outside of ``f``. 2025-08-26T21:25:06.5859227Z 2025-08-26T21:25:06.5859388Z 2025-08-26T21:25:06.5860439Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-08-26T21:25:06.5861461Z 2025-08-26T21:25:06.5861606Z _._ = None 2025-08-26T21:25:06.5861967Z ^ 2025-08-26T21:25:07.0371302Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-08-26T21:25:07.0373347Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:07.0373972Z 2025-08-26T21:25:07.0374434Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-08-26T21:25:07.0375442Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-08-26T21:25:07.0376406Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-08-26T21:25:07.0377155Z input by the user. 2025-08-26T21:25:07.0378341Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-08-26T21:25:07.0379186Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-08-26T21:25:07.0379634Z 2025-08-26T21:25:07.0379799Z Note:: 2025-08-26T21:25:07.0380545Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-08-26T21:25:07.0381438Z 2025-08-26T21:25:07.0381581Z Args: 2025-08-26T21:25:07.0381955Z model (nn.Module): 2025-08-26T21:25:07.0382592Z The model whose layers will be sparsified. The layers that needs to be 2025-08-26T21:25:07.0383562Z sparsified should be added separately using the register_layer() function 2025-08-26T21:25:07.0384334Z aggregate_fn (Optional, Callable): 2025-08-26T21:25:07.0385112Z default aggregate_fn that is used if not specified while registering the layer. 2025-08-26T21:25:07.0386004Z specifies how inputs should be aggregated over time. 2025-08-26T21:25:07.0386955Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-08-26T21:25:07.0387761Z Example 2025-08-26T21:25:07.0388491Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-08-26T21:25:07.0389177Z reduce_fn (Optional, Callable): 2025-08-26T21:25:07.0390148Z default reduce_fn that is used if not specified while registering the layer. 2025-08-26T21:25:07.0391159Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-08-26T21:25:07.0391969Z calling agg_fn() on all inputs. 2025-08-26T21:25:07.0392513Z Example 2025-08-26T21:25:07.0393106Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-08-26T21:25:07.0393816Z mask_fn (Optional, Callable): 2025-08-26T21:25:07.0394692Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-08-26T21:25:07.0395828Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-08-26T21:25:07.0396619Z register_layer(). 2025-08-26T21:25:07.0397513Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-08-26T21:25:07.0398443Z arguments. 2025-08-26T21:25:07.0398920Z features (Optional, list): 2025-08-26T21:25:07.0399484Z default selected features to sparsify. 2025-08-26T21:25:07.0400342Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-08-26T21:25:07.0401150Z For example, 2025-08-26T21:25:07.0401862Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-08-26T21:25:07.0402656Z feature_dim (Optional, int): 2025-08-26T21:25:07.0403478Z default dimension of input features. Again, features along this dim will be chosen 2025-08-26T21:25:07.0404303Z for sparsification. 2025-08-26T21:25:07.0404821Z sparse_config (Dict): 2025-08-26T21:25:07.0405509Z Default configuration for the mask_fn. This config will be passed 2025-08-26T21:25:07.0406236Z with the mask_fn() 2025-08-26T21:25:07.0406567Z 2025-08-26T21:25:07.0406724Z Example: 2025-08-26T21:25:07.0407095Z >>> # xdoctest: +SKIP 2025-08-26T21:25:07.0407537Z >>> model = SomeModel() 2025-08-26T21:25:07.0408232Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-08-26T21:25:07.0409004Z >>> # Initialize aggregate_fn 2025-08-26T21:25:07.0409488Z >>> def agg_fn(x, y): 2025-08-26T21:25:07.0409920Z >>> return x + y 2025-08-26T21:25:07.0410337Z >>> 2025-08-26T21:25:07.0410713Z >>> # Initialize reduce_fn 2025-08-26T21:25:07.0411183Z >>> def reduce_fn(x): 2025-08-26T21:25:07.0411629Z >>> return torch.mean(x, dim=0) 2025-08-26T21:25:07.0412426Z >>> 2025-08-26T21:25:07.0412798Z >>> # Initialize mask_fn 2025-08-26T21:25:07.0413252Z >>> def mask_fn(data): 2025-08-26T21:25:07.0413775Z >>> return torch.eye(data.shape).to(data.device) 2025-08-26T21:25:07.0414330Z >>> 2025-08-26T21:25:07.0414672Z >>> 2025-08-26T21:25:07.0415217Z >>> act_sparsifier.register_layer( 2025-08-26T21:25:07.0415759Z ... model.some_layer, 2025-08-26T21:25:07.0416239Z ... aggregate_fn=agg_fn, 2025-08-26T21:25:07.0416723Z ... reduce_fn=reduce_fn, 2025-08-26T21:25:07.0417189Z ... mask_fn=mask_fn, 2025-08-26T21:25:07.0417620Z ... ) 2025-08-26T21:25:07.0417952Z >>> 2025-08-26T21:25:07.0418329Z >>> # start training process 2025-08-26T21:25:07.0418801Z >>> for _ in [...]: 2025-08-26T21:25:07.0419225Z >>> # epoch starts 2025-08-26T21:25:07.0419777Z >>> # model.forward(), compute_loss() and model.backwards() 2025-08-26T21:25:07.0420406Z >>> # epoch ends 2025-08-26T21:25:07.0420852Z >>> act_sparsifier.step() 2025-08-26T21:25:07.0421356Z >>> # end training process 2025-08-26T21:25:07.0421844Z >>> sparsifier.squash_mask() 2025-08-26T21:25:07.0422162Z 2025-08-26T21:25:07.0422994Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-08-26T21:25:07.0424131Z 2025-08-26T21:25:07.0424294Z _._ = None 2025-08-26T21:25:07.0424645Z ^ 2025-08-26T21:25:12.2235928Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=424. 2025-08-26T21:25:12.2237755Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:12.2238660Z Register a parametrization to a tensor in a module. 2025-08-26T21:25:12.2239118Z 2025-08-26T21:25:12.2239595Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-08-26T21:25:12.2240762Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-08-26T21:25:12.2241866Z If the original tensor requires a gradient, the backward pass will differentiate 2025-08-26T21:25:12.2243005Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-08-26T21:25:12.2243697Z 2025-08-26T21:25:12.2244229Z The first time that a module registers a parametrization, this function will add an attribute 2025-08-26T21:25:12.2245347Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-08-26T21:25:12.2245941Z 2025-08-26T21:25:12.2246400Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-08-26T21:25:12.2247248Z ``module.parametrizations.weight``. 2025-08-26T21:25:12.2247647Z 2025-08-26T21:25:12.2247891Z The original tensor will be accessible under 2025-08-26T21:25:12.2248560Z ``module.parametrizations.weight.original``. 2025-08-26T21:25:12.2248983Z 2025-08-26T21:25:12.2249429Z Parametrizations may be concatenated by registering several parametrizations 2025-08-26T21:25:12.2250219Z on the same attribute. 2025-08-26T21:25:12.2250526Z 2025-08-26T21:25:12.2250922Z The training mode of a registered parametrization is updated on registration 2025-08-26T21:25:12.2251742Z to match the training mode of the host module 2025-08-26T21:25:12.2252150Z 2025-08-26T21:25:12.2252653Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-08-26T21:25:12.2253558Z using the context manager :func:`cached`. 2025-08-26T21:25:12.2253953Z 2025-08-26T21:25:12.2254355Z A :attr:`parametrization` may optionally implement a method with signature 2025-08-26T21:25:12.2254966Z 2025-08-26T21:25:12.2255183Z .. code-block:: python 2025-08-26T21:25:12.2255489Z 2025-08-26T21:25:12.2255865Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-08-26T21:25:12.2256417Z 2025-08-26T21:25:12.2257768Z This method is called on the unparametrized tensor when the first parametrization 2025-08-26T21:25:12.2258797Z is registered to compute the initial value of the original tensor. 2025-08-26T21:25:12.2259843Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-08-26T21:25:12.2260792Z 2025-08-26T21:25:12.2261308Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-08-26T21:25:12.2262479Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-08-26T21:25:12.2263147Z 2025-08-26T21:25:12.2263538Z It is possible for the first parametrization to depend on several inputs. 2025-08-26T21:25:12.2264491Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-08-26T21:25:12.2265457Z (see the example implementation of a ``RankOne`` parametrization below). 2025-08-26T21:25:12.2266024Z 2025-08-26T21:25:12.2266602Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-08-26T21:25:12.2267582Z with names ``original0``, ``original1``,... 2025-08-26T21:25:12.2267969Z 2025-08-26T21:25:12.2268389Z .. note:: 2025-08-26T21:25:12.2268614Z 2025-08-26T21:25:12.2269077Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-08-26T21:25:12.2270221Z once to perform a number of consistency checks. 2025-08-26T21:25:12.2271101Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-08-26T21:25:12.2271924Z and nothing will be called otherwise. 2025-08-26T21:25:12.2272308Z 2025-08-26T21:25:12.2272458Z .. note:: 2025-08-26T21:25:12.2272680Z 2025-08-26T21:25:12.2273018Z In most situations, ``right_inverse`` will be a function such that 2025-08-26T21:25:12.2273744Z ``forward(right_inverse(X)) == X`` (see 2025-08-26T21:25:12.2274644Z `right inverse `_). 2025-08-26T21:25:12.2275734Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-08-26T21:25:12.2276502Z to relax this. 2025-08-26T21:25:12.2276765Z 2025-08-26T21:25:12.2276928Z .. warning:: 2025-08-26T21:25:12.2277167Z 2025-08-26T21:25:12.2277629Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-08-26T21:25:12.2278682Z will register a number of new parameters. If such parametrization is registered 2025-08-26T21:25:12.2279733Z after the optimizer is created, these new parameters will need to be added manually 2025-08-26T21:25:12.2280698Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-08-26T21:25:12.2281195Z 2025-08-26T21:25:12.2281343Z Args: 2025-08-26T21:25:12.2281892Z module (nn.Module): module on which to register the parametrization 2025-08-26T21:25:12.2282786Z tensor_name (str): name of the parameter or buffer on which to register 2025-08-26T21:25:12.2283510Z the parametrization 2025-08-26T21:25:12.2284165Z parametrization (nn.Module): the parametrization to register 2025-08-26T21:25:12.2284827Z Keyword args: 2025-08-26T21:25:12.2285418Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-08-26T21:25:12.2286276Z may change the dtype and shape of the tensor. Default: `False` 2025-08-26T21:25:12.2287208Z Warning: the parametrization is not checked for consistency upon registration. 2025-08-26T21:25:12.2288031Z Enable this flag at your own risk. 2025-08-26T21:25:12.2288396Z 2025-08-26T21:25:12.2288546Z Raises: 2025-08-26T21:25:12.2289226Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-08-26T21:25:12.2289882Z 2025-08-26T21:25:12.2290042Z Examples: 2025-08-26T21:25:12.2290514Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-08-26T21:25:12.2291408Z >>> import torch 2025-08-26T21:25:12.2291880Z >>> import torch.nn as nn 2025-08-26T21:25:12.2292437Z >>> import torch.nn.utils.parametrize as P 2025-08-26T21:25:12.2292997Z >>> 2025-08-26T21:25:12.2293390Z >>> class Symmetric(nn.Module): 2025-08-26T21:25:12.2293927Z >>> def forward(self, X): 2025-08-26T21:25:12.2294718Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-08-26T21:25:12.2295338Z >>> 2025-08-26T21:25:12.2295717Z >>> def right_inverse(self, A): 2025-08-26T21:25:12.2296239Z >>> return A.triu() 2025-08-26T21:25:12.2296693Z >>> 2025-08-26T21:25:12.2297048Z >>> m = nn.Linear(5, 5) 2025-08-26T21:25:12.2297634Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-08-26T21:25:12.2298498Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-08-26T21:25:12.2299222Z True 2025-08-26T21:25:12.2299622Z >>> A = torch.rand(5, 5) 2025-08-26T21:25:12.2300120Z >>> A = A + A.T # A is now symmetric 2025-08-26T21:25:12.2300796Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-08-26T21:25:12.2301518Z >>> print(torch.allclose(m.weight, A)) 2025-08-26T21:25:12.2302173Z True 2025-08-26T21:25:12.2302390Z 2025-08-26T21:25:12.2302577Z >>> class RankOne(nn.Module): 2025-08-26T21:25:12.2303123Z >>> def forward(self, x, y): 2025-08-26T21:25:12.2303720Z >>> # Form a rank 1 matrix multiplying two vectors 2025-08-26T21:25:12.2304379Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-08-26T21:25:12.2304931Z >>> 2025-08-26T21:25:12.2305330Z >>> def right_inverse(self, Z): 2025-08-26T21:25:12.2305900Z >>> # Project Z onto the rank 1 matrices 2025-08-26T21:25:12.2306538Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-08-26T21:25:12.2307188Z >>> # Return rescaled singular vectors 2025-08-26T21:25:12.2307760Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-08-26T21:25:12.2308552Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-08-26T21:25:12.2309127Z >>> 2025-08-26T21:25:12.2309584Z >>> linear_rank_one = P.register_parametrization( 2025-08-26T21:25:12.2310239Z ... nn.Linear(4, 4), "weight", RankOne() 2025-08-26T21:25:12.2310768Z ... ) 2025-08-26T21:25:12.2311319Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-08-26T21:25:12.2311978Z 1 2025-08-26T21:25:12.2312180Z 2025-08-26T21:25:12.2312330Z 2025-08-26T21:25:12.2313395Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-08-26T21:25:12.2314427Z 2025-08-26T21:25:12.2314581Z _._ = None 2025-08-26T21:25:12.2314926Z ^ 2025-08-26T21:25:12.3596065Z gathering tests 2025-08-26T21:25:12.3609572Z running 862 test(s) 2025-08-26T21:25:12.3620424Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1082 <- wrt source file 2025-08-26T21:25:12.3713042Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0 2025-08-26T21:25:12.3715086Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1118 <- wrt source file 2025-08-26T21:25:12.3717103Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0 2025-08-26T21:25:12.3718950Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1203 <- wrt source file 2025-08-26T21:25:12.3720957Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0 2025-08-26T21:25:12.3723347Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1252 <- wrt source file 2025-08-26T21:25:12.3725409Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-08-26T21:25:12.3727352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1289 <- wrt source file 2025-08-26T21:25:12.3729477Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0 2025-08-26T21:25:12.3731394Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1444 <- wrt source file 2025-08-26T21:25:12.3733461Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-08-26T21:25:12.3735314Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2567 <- wrt source file 2025-08-26T21:25:12.3737059Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0 2025-08-26T21:25:12.3738976Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2840 <- wrt source file 2025-08-26T21:25:12.3741302Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-08-26T21:25:12.3743271Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-08-26T21:25:12.3745138Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0 2025-08-26T21:25:12.3746890Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-08-26T21:25:12.3748787Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0 2025-08-26T21:25:12.3750590Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-08-26T21:25:12.4426272Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-08-26T21:25:12.4428560Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-08-26T21:25:12.4674930Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0 2025-08-26T21:25:12.4677122Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-08-26T21:25:12.4679196Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0 2025-08-26T21:25:12.4681034Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-08-26T21:25:12.4695132Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0 2025-08-26T21:25:12.4697160Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-08-26T21:25:12.4722678Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0 2025-08-26T21:25:12.4724646Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-08-26T21:25:12.4763727Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0 2025-08-26T21:25:12.4765786Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-08-26T21:25:12.4810047Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0 2025-08-26T21:25:12.4812696Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-08-26T21:25:12.4821343Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-08-26T21:25:12.4823471Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-08-26T21:25:12.4844503Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0 2025-08-26T21:25:12.4846618Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-08-26T21:25:12.4850670Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0 2025-08-26T21:25:12.4853060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-08-26T21:25:12.4861156Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0 2025-08-26T21:25:12.4863131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-08-26T21:25:12.4876348Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0 2025-08-26T21:25:12.4878424Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-08-26T21:25:12.4892454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0 2025-08-26T21:25:12.4894501Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-08-26T21:25:12.4909539Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0 2025-08-26T21:25:12.4911613Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-08-26T21:25:12.4932519Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0 2025-08-26T21:25:12.4934616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-08-26T21:25:12.4965968Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0 2025-08-26T21:25:12.4968123Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1903 <- wrt source file 2025-08-26T21:25:12.4992286Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0 2025-08-26T21:25:12.4994261Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2003 <- wrt source file 2025-08-26T21:25:12.4996241Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0 2025-08-26T21:25:12.4998040Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2104 <- wrt source file 2025-08-26T21:25:12.5000301Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0 2025-08-26T21:25:12.5002018Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 473 <- wrt source file 2025-08-26T21:25:12.5003662Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0 2025-08-26T21:25:12.5005467Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 533 <- wrt source file 2025-08-26T21:25:12.5007082Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0 2025-08-26T21:25:12.5008646Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 624 <- wrt source file 2025-08-26T21:25:12.5010275Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0 2025-08-26T21:25:12.5011937Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 672 <- wrt source file 2025-08-26T21:25:12.5013711Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0 2025-08-26T21:25:12.5015478Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0, line 707 <- wrt source file 2025-08-26T21:25:12.5017524Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0 2025-08-26T21:25:12.5019359Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0, line 847 <- wrt source file 2025-08-26T21:25:12.5021250Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-08-26T21:25:12.5023161Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 116 <- wrt source file 2025-08-26T21:25:12.5025140Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0 2025-08-26T21:25:12.5027125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 422 <- wrt source file 2025-08-26T21:25:12.5033628Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0 2025-08-26T21:25:12.5035589Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1577 <- wrt source file 2025-08-26T21:25:12.5037567Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0 2025-08-26T21:25:12.5039515Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1712 <- wrt source file 2025-08-26T21:25:12.5041573Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0 2025-08-26T21:25:12.5043557Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1960 <- wrt source file 2025-08-26T21:25:12.5065781Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-08-26T21:25:12.5067820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1979 <- wrt source file 2025-08-26T21:25:12.5073045Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0 2025-08-26T21:25:12.5074992Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-08-26T21:25:12.5077323Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0 2025-08-26T21:25:12.5079345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-08-26T21:25:12.5081658Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0 2025-08-26T21:25:12.5083741Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-08-26T21:25:12.5085908Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0 2025-08-26T21:25:12.5087941Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 299 <- wrt source file 2025-08-26T21:25:12.5089911Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0 2025-08-26T21:25:12.5091815Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 324 <- wrt source file 2025-08-26T21:25:12.5093889Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0 2025-08-26T21:25:12.5095725Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 400 <- wrt source file 2025-08-26T21:25:12.5097580Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0 2025-08-26T21:25:12.5099457Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 472 <- wrt source file 2025-08-26T21:25:12.5101433Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0 2025-08-26T21:25:12.5103262Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 950 <- wrt source file 2025-08-26T21:25:12.5105063Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0 2025-08-26T21:25:12.5106827Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1363 <- wrt source file 2025-08-26T21:25:12.5108808Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0 2025-08-26T21:25:12.5110590Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 153 <- wrt source file 2025-08-26T21:25:12.5112423Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0 2025-08-26T21:25:12.5114364Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 247 <- wrt source file 2025-08-26T21:25:12.5116463Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-08-26T21:25:12.5118378Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 307 <- wrt source file 2025-08-26T21:25:12.5120183Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0 2025-08-26T21:25:12.5121891Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 512 <- wrt source file 2025-08-26T21:25:12.6010382Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0 2025-08-26T21:25:12.6012850Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 618 <- wrt source file 2025-08-26T21:25:12.6026316Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0 2025-08-26T21:25:12.6029026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 799 <- wrt source file 2025-08-26T21:25:12.6030963Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0 2025-08-26T21:25:12.6032838Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 867 <- wrt source file 2025-08-26T21:25:12.6034751Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0 2025-08-26T21:25:12.6036614Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1116 <- wrt source file 2025-08-26T21:25:12.6206463Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0 2025-08-26T21:25:12.6208648Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1232 <- wrt source file 2025-08-26T21:25:12.6273597Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0 2025-08-26T21:25:12.6275720Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1321 <- wrt source file 2025-08-26T21:25:12.6416763Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0 2025-08-26T21:25:12.6418831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1646 <- wrt source file 2025-08-26T21:25:12.6420699Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0 2025-08-26T21:25:12.6422539Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 649 <- wrt source file 2025-08-26T21:25:12.6424513Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-08-26T21:25:12.6426560Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 706 <- wrt source file 2025-08-26T21:25:12.6433091Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-08-26T21:25:12.6435373Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1333 <- wrt source file 2025-08-26T21:25:12.6521830Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-08-26T21:25:12.6525063Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1378 <- wrt source file 2025-08-26T21:25:12.6530282Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-08-26T21:25:12.6532362Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1451 <- wrt source file 2025-08-26T21:25:12.6535483Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0 2025-08-26T21:25:12.6537414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1481 <- wrt source file 2025-08-26T21:25:12.6541240Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-08-26T21:25:12.6543314Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1513 <- wrt source file 2025-08-26T21:25:12.6554771Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-08-26T21:25:12.6556728Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-08-26T21:25:12.6558799Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-08-26T21:25:12.6560716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-08-26T21:25:12.6570213Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-08-26T21:25:12.6572138Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-08-26T21:25:12.6574272Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0 2025-08-26T21:25:12.6576261Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-08-26T21:25:12.6593044Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-08-26T21:25:12.6595099Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-08-26T21:25:12.6597085Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0 2025-08-26T21:25:12.6598910Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-08-26T21:25:12.6600727Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0 2025-08-26T21:25:12.6602747Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-08-26T21:25:12.6611393Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-08-26T21:25:12.6613567Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file 2025-08-26T21:25:12.6704138Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-08-26T21:25:12.6705073Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1760 <- wrt source file 2025-08-26T21:25:12.6705916Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-08-26T21:25:12.6706804Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1884 <- wrt source file 2025-08-26T21:25:12.6707763Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-08-26T21:25:12.6708701Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file 2025-08-26T21:25:12.6725874Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-08-26T21:25:12.6728965Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-08-26T21:25:12.6733804Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-08-26T21:25:12.6734568Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-08-26T21:25:12.6777798Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0 2025-08-26T21:25:12.6778626Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-08-26T21:25:12.6797772Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-08-26T21:25:12.6798603Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-08-26T21:25:12.6817500Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0 2025-08-26T21:25:12.6819236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-08-26T21:25:12.6820948Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0 2025-08-26T21:25:12.6822589Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 345 <- wrt source file 2025-08-26T21:25:12.6824090Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0 2025-08-26T21:25:12.6824816Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 415 <- wrt source file 2025-08-26T21:25:12.6825553Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0 2025-08-26T21:25:12.6826324Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 572 <- wrt source file 2025-08-26T21:25:12.6827162Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0 2025-08-26T21:25:12.6827980Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 320 <- wrt source file 2025-08-26T21:25:12.6828904Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-08-26T21:25:12.6829873Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 357 <- wrt source file 2025-08-26T21:25:12.6833502Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0 2025-08-26T21:25:12.6834349Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 113 <- wrt source file 2025-08-26T21:25:12.9987780Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-08-26T21:25:12.9990241Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 249 <- wrt source file 2025-08-26T21:25:12.9992457Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0 2025-08-26T21:25:12.9994785Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 148 <- wrt source file 2025-08-26T21:25:12.9996749Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0 2025-08-26T21:25:12.9999033Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 197 <- wrt source file 2025-08-26T21:25:13.0001187Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-08-26T21:25:13.0003218Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0, line 231 <- wrt source file 2025-08-26T21:25:13.0005286Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-08-26T21:25:13.0007307Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 261 <- wrt source file 2025-08-26T21:25:13.0009390Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-08-26T21:25:13.0011524Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 295 <- wrt source file 2025-08-26T21:25:13.0013447Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0 2025-08-26T21:25:13.0015352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 125 <- wrt source file 2025-08-26T21:25:13.0017340Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-08-26T21:25:13.0019316Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 181 <- wrt source file 2025-08-26T21:25:13.7074598Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-08-26T21:25:13.7076803Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 411 <- wrt source file 2025-08-26T21:25:13.7078847Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-08-26T21:25:13.7080754Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 443 <- wrt source file 2025-08-26T21:25:13.7082739Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-08-26T21:25:13.7085351Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 464 <- wrt source file 2025-08-26T21:25:13.7087513Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-08-26T21:25:13.7089488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 482 <- wrt source file 2025-08-26T21:25:13.7091447Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-08-26T21:25:13.7093396Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 497 <- wrt source file 2025-08-26T21:25:13.7095447Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-08-26T21:25:13.7097647Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 512 <- wrt source file 2025-08-26T21:25:13.7099708Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-08-26T21:25:13.7101814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-08-26T21:25:13.7103735Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0 2025-08-26T21:25:13.7105577Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file 2025-08-26T21:25:13.7107465Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0 2025-08-26T21:25:13.7109669Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-08-26T21:25:13.7510361Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-08-26T21:25:13.7513138Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 230 <- wrt source file 2025-08-26T21:25:13.7515445Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-08-26T21:25:13.7517559Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 51 <- wrt source file 2025-08-26T21:25:13.7519696Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-08-26T21:25:13.7521668Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0, line 98 <- wrt source file 2025-08-26T21:25:13.7813370Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-08-26T21:25:13.7815698Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 238 <- wrt source file 2025-08-26T21:25:13.7893705Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-08-26T21:25:13.7896100Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 307 <- wrt source file 2025-08-26T21:25:13.7898746Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-08-26T21:25:13.7900981Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 541 <- wrt source file 2025-08-26T21:25:13.8049318Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-08-26T21:25:13.8051722Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 709 <- wrt source file 2025-08-26T21:25:13.8203833Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-08-26T21:25:13.8206238Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 795 <- wrt source file 2025-08-26T21:25:13.8208942Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-08-26T21:25:13.8234140Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 459 <- wrt source file 2025-08-26T21:25:13.8236802Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0 2025-08-26T21:25:13.8238862Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file 2025-08-26T21:25:13.8240968Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2025-08-26T21:25:13.8243082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 302 <- wrt source file 2025-08-26T21:25:13.8245262Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2025-08-26T21:25:13.8247379Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 375 <- wrt source file 2025-08-26T21:25:13.8285053Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-08-26T21:25:13.8287329Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file 2025-08-26T21:25:13.8289590Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-08-26T21:25:13.8291708Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file 2025-08-26T21:25:13.8340792Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-08-26T21:25:13.8343098Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file 2025-08-26T21:25:13.8394296Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-08-26T21:25:13.8396491Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-08-26T21:25:13.8441365Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-08-26T21:25:13.8443788Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-08-26T21:25:13.8445991Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-08-26T21:25:13.8448086Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-08-26T21:25:13.8499820Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-08-26T21:25:13.8502117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-08-26T21:25:13.8504452Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-08-26T21:25:13.8506991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-08-26T21:25:13.8509299Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-08-26T21:25:13.8511485Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-08-26T21:25:13.8513443Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-08-26T21:25:13.8515384Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-08-26T21:25:13.8517414Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-08-26T21:25:13.8519487Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file 2025-08-26T21:25:13.8521668Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-08-26T21:25:13.8523958Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-08-26T21:25:13.8525873Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-08-26T21:25:13.8527851Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 349 <- wrt source file 2025-08-26T21:25:13.8529988Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-08-26T21:25:13.8532156Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 322 <- wrt source file 2025-08-26T21:25:13.8534500Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-08-26T21:25:13.8536740Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 339 <- wrt source file 2025-08-26T21:25:13.8539001Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-08-26T21:25:13.8541018Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/run.py::__doc__:0, line 57 <- wrt source file 2025-08-26T21:25:13.8542863Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/run.py::__doc__:0 2025-08-26T21:25:13.8544983Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 431 <- wrt source file 2025-08-26T21:25:13.8547090Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-08-26T21:25:13.8549352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 975 <- wrt source file 2025-08-26T21:25:13.8551646Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-08-26T21:25:13.8553806Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1121 <- wrt source file 2025-08-26T21:25:13.8556131Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-08-26T21:25:13.8558356Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2578 <- wrt source file 2025-08-26T21:25:13.8560704Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0 2025-08-26T21:25:13.8563091Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0, line 2680 <- wrt source file 2025-08-26T21:25:13.8565311Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0 2025-08-26T21:25:13.8567494Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0, line 2727 <- wrt source file 2025-08-26T21:25:13.8569745Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0 2025-08-26T21:25:13.8571891Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_reduce:0, line 2864 <- wrt source file 2025-08-26T21:25:13.8574209Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_reduce:0 2025-08-26T21:25:13.8576346Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0, line 3147 <- wrt source file 2025-08-26T21:25:13.8578575Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0 2025-08-26T21:25:13.8580749Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather_object:0, line 3251 <- wrt source file 2025-08-26T21:25:13.8582959Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather_object:0 2025-08-26T21:25:13.8585119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0, line 3376 <- wrt source file 2025-08-26T21:25:13.8587334Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0 2025-08-26T21:25:13.8589576Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0, line 3478 <- wrt source file 2025-08-26T21:25:13.8591785Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0 2025-08-26T21:25:13.8594172Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 3592 <- wrt source file 2025-08-26T21:25:13.8596492Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0 2025-08-26T21:25:13.8598743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0, line 3715 <- wrt source file 2025-08-26T21:25:13.8601030Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file 2025-08-26T21:25:13.9088985Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0 2025-08-26T21:25:13.9090698Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0, line 107 <- wrt source file 2025-08-26T21:25:13.9092644Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0 2025-08-26T21:25:13.9094757Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py::HierarchicalModelAverager:0, line 54 <- wrt source file 2025-08-26T21:25:13.9097238Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0, line 104 <- wrt source file 2025-08-26T21:25:13.9109451Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0 2025-08-26T21:25:13.9111501Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0, line 125 <- wrt source file 2025-08-26T21:25:13.9113467Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0 2025-08-26T21:25:13.9115421Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0, line 143 <- wrt source file 2025-08-26T21:25:13.9117441Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0, line 23 <- wrt source file 2025-08-26T21:25:13.9129333Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0 2025-08-26T21:25:13.9131346Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0, line 64 <- wrt source file 2025-08-26T21:25:13.9133497Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0 2025-08-26T21:25:13.9135745Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0, line 145 <- wrt source file 2025-08-26T21:25:13.9137922Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0, line 333 <- wrt source file 2025-08-26T21:25:13.9149440Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0 2025-08-26T21:25:13.9151077Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0, line 34 <- wrt source file 2025-08-26T21:25:13.9152826Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0 2025-08-26T21:25:13.9154616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0, line 83 <- wrt source file 2025-08-26T21:25:13.9156528Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0 2025-08-26T21:25:13.9158383Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 102 <- wrt source file 2025-08-26T21:25:13.9160417Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0 2025-08-26T21:25:13.9162131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0, line 134 <- wrt source file 2025-08-26T21:25:13.9163756Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0 2025-08-26T21:25:13.9165452Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.__init__:0, line 196 <- wrt source file 2025-08-26T21:25:13.9167249Z * SKIPPED: 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2025-08-26T21:25:13.9177596Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0 2025-08-26T21:25:13.9178980Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1530 <- wrt source file 2025-08-26T21:25:13.9180342Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0 2025-08-26T21:25:13.9181811Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file 2025-08-26T21:25:13.9183544Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-08-26T21:25:13.9185065Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 152 <- wrt source file 2025-08-26T21:25:13.9186531Z * SKIPPED: 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* DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 889 <- wrt source file 2025-08-26T21:25:13.9198458Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0 2025-08-26T21:25:13.9199957Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 280 <- wrt source file 2025-08-26T21:25:13.9201402Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-08-26T21:25:13.9202897Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 388 <- wrt source file 2025-08-26T21:25:13.9204461Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-08-26T21:25:13.9205922Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 491 <- wrt source file 2025-08-26T21:25:13.9207351Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-08-26T21:25:13.9208776Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 547 <- wrt source file 2025-08-26T21:25:13.9210247Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-08-26T21:25:13.9211813Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 608 <- wrt source file 2025-08-26T21:25:13.9213282Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-08-26T21:25:13.9214698Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 683 <- wrt source file 2025-08-26T21:25:13.9216137Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-08-26T21:25:13.9217573Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 773 <- wrt source file 2025-08-26T21:25:13.9219072Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-08-26T21:25:13.9220665Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 820 <- wrt source file 2025-08-26T21:25:13.9222154Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-08-26T21:25:13.9223608Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 971 <- wrt source file 2025-08-26T21:25:13.9225223Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2025-08-26T21:25:13.9236090Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 1749 <- wrt source file 2025-08-26T21:25:13.9237805Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0 2025-08-26T21:25:13.9239532Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 1803 <- wrt source file 2025-08-26T21:25:13.9241328Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-08-26T21:25:13.9243083Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1819 <- wrt source file 2025-08-26T21:25:13.9244852Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-08-26T21:25:13.9255836Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-08-26T21:25:13.9257578Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-08-26T21:25:13.9259115Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 233 <- wrt source file 2025-08-26T21:25:13.9260607Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-08-26T21:25:13.9262201Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 475 <- wrt source file 2025-08-26T21:25:13.9263728Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-08-26T21:25:13.9265194Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1023 <- wrt source file 2025-08-26T21:25:13.9573392Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-08-26T21:25:13.9575132Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1181 <- wrt source file 2025-08-26T21:25:13.9629503Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-08-26T21:25:13.9631451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1341 <- wrt source file 2025-08-26T21:25:13.9646198Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-08-26T21:25:13.9647770Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1505 <- wrt source file 2025-08-26T21:25:13.9650951Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-08-26T21:25:13.9652560Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1704 <- wrt source file 2025-08-26T21:25:13.9795694Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-08-26T21:25:13.9797921Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 768 <- wrt source file 2025-08-26T21:25:14.0059233Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-08-26T21:25:14.0061717Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1131 <- wrt source file 2025-08-26T21:25:14.0064616Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-08-26T21:25:14.0067078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1186 <- wrt source file 2025-08-26T21:25:14.0069745Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-08-26T21:25:14.0071942Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-08-26T21:25:14.0074058Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-08-26T21:25:14.0076339Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-08-26T21:25:14.0078634Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-08-26T21:25:14.0080783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-08-26T21:25:14.0083043Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-08-26T21:25:14.0085093Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-08-26T21:25:14.0087226Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-08-26T21:25:14.0089365Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-08-26T21:25:14.0091601Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-08-26T21:25:14.0093694Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-08-26T21:25:14.0095991Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-08-26T21:25:14.0098152Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-08-26T21:25:14.0100541Z * SKIPPED: 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2025-08-26T21:25:14.0114213Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-08-26T21:25:14.0116532Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 566 <- wrt source file 2025-08-26T21:25:14.0118751Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-08-26T21:25:14.0120873Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 580 <- wrt source file 2025-08-26T21:25:14.0123007Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-08-26T21:25:14.0125094Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 602 <- wrt source file 2025-08-26T21:25:14.0127382Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-08-26T21:25:14.0129452Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 729 <- wrt source file 2025-08-26T21:25:14.0131534Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-08-26T21:25:14.0133799Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 176 <- wrt source file 2025-08-26T21:25:14.0135949Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-08-26T21:25:14.0138126Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 31 <- wrt source file 2025-08-26T21:25:14.0140447Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-08-26T21:25:14.0142745Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 76 <- wrt source file 2025-08-26T21:25:14.0145306Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-08-26T21:25:14.0147639Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 130 <- wrt source file 2025-08-26T21:25:14.0150113Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-08-26T21:25:14.0152478Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 163 <- wrt source file 2025-08-26T21:25:14.0154959Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-08-26T21:25:14.0157240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-08-26T21:25:14.0159464Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-08-26T21:25:14.0161645Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-08-26T21:25:14.0163905Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-08-26T21:25:14.0166205Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-08-26T21:25:14.0168270Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-08-26T21:25:14.0170438Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2025-08-26T21:25:14.0172810Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2025-08-26T21:25:14.0174783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 214 <- wrt source file 2025-08-26T21:25:14.0176120Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 102 <- wrt source file 2025-08-26T21:25:14.0183807Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-08-26T21:25:14.0185058Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 148 <- wrt source file 2025-08-26T21:25:14.0186418Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-08-26T21:25:14.0187640Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 84 <- wrt source file 2025-08-26T21:25:14.0188940Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0 2025-08-26T21:25:14.0197002Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0, line 589 <- wrt source file 2025-08-26T21:25:14.0198661Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0 2025-08-26T21:25:14.0200305Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 662 <- wrt source file 2025-08-26T21:25:14.0202000Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0 2025-08-26T21:25:14.0203491Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-08-26T21:25:14.0204714Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-08-26T21:25:14.0205966Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 245 <- wrt source file 2025-08-26T21:25:14.0207387Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-08-26T21:25:14.0208803Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file 2025-08-26T21:25:14.0210352Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2025-08-26T21:25:14.0211806Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-08-26T21:25:14.0213326Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-08-26T21:25:14.0214600Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-08-26T21:25:14.0215776Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-08-26T21:25:14.0216876Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 30 <- wrt source file 2025-08-26T21:25:14.0668820Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-08-26T21:25:14.0669741Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-08-26T21:25:14.0670629Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-08-26T21:25:14.0671472Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 211 <- wrt source file 2025-08-26T21:25:14.0672328Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-08-26T21:25:14.0673151Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 283 <- wrt source file 2025-08-26T21:25:14.0674099Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-08-26T21:25:14.0674922Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 359 <- wrt source file 2025-08-26T21:25:14.0675758Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-08-26T21:25:14.0676598Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-08-26T21:25:14.0677496Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-08-26T21:25:14.0678447Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-08-26T21:25:14.0679360Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-08-26T21:25:14.0680309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-08-26T21:25:14.0681425Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-08-26T21:25:14.0682415Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-08-26T21:25:14.0683417Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-08-26T21:25:14.0684371Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-08-26T21:25:14.0722487Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-08-26T21:25:14.0723564Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-08-26T21:25:14.0731919Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-08-26T21:25:14.0732853Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-08-26T21:25:14.0735610Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-08-26T21:25:14.0736478Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file 2025-08-26T21:25:14.0737331Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-08-26T21:25:14.0738182Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 138 <- wrt source file 2025-08-26T21:25:14.0739068Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-08-26T21:25:14.0739916Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file 2025-08-26T21:25:14.0740871Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-08-26T21:25:14.0741716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 505 <- wrt source file 2025-08-26T21:25:14.0742585Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-08-26T21:25:14.0743419Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 635 <- wrt source file 2025-08-26T21:25:14.0744264Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-08-26T21:25:14.0745137Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 892 <- wrt source file 2025-08-26T21:25:14.0746157Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-08-26T21:25:14.0747095Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1014 <- wrt source file 2025-08-26T21:25:14.0748179Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-08-26T21:25:14.0749088Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1140 <- wrt source file 2025-08-26T21:25:14.0750053Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-08-26T21:25:14.0750943Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 515 <- wrt source file 2025-08-26T21:25:14.0751849Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-08-26T21:25:14.0752720Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 801 <- wrt source file 2025-08-26T21:25:14.0753692Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-08-26T21:25:14.0754581Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1206 <- wrt source file 2025-08-26T21:25:14.0755502Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-08-26T21:25:14.0756422Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1273 <- wrt source file 2025-08-26T21:25:14.0757354Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-08-26T21:25:14.0758252Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1326 <- wrt source file 2025-08-26T21:25:14.0759175Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-08-26T21:25:14.0760072Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-08-26T21:25:14.0761007Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-08-26T21:25:14.0761990Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-08-26T21:25:14.0762912Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-08-26T21:25:14.0763820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 124 <- wrt source file 2025-08-26T21:25:14.0764766Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-08-26T21:25:14.0765665Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 209 <- wrt source file 2025-08-26T21:25:14.0766583Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-08-26T21:25:14.0767592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 296 <- wrt source file 2025-08-26T21:25:14.0768635Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-08-26T21:25:14.0769675Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 378 <- wrt source file 2025-08-26T21:25:14.0770667Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-08-26T21:25:14.0771633Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 460 <- wrt source file 2025-08-26T21:25:14.0772617Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-08-26T21:25:14.0773598Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-08-26T21:25:14.0774702Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-08-26T21:25:14.0775724Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-08-26T21:25:14.0776785Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-08-26T21:25:14.0777804Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-08-26T21:25:14.0778827Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-08-26T21:25:14.0779848Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-08-26T21:25:14.0780928Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-08-26T21:25:14.0781921Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 30 <- wrt source file 2025-08-26T21:25:14.0782886Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-08-26T21:25:14.0783818Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2025-08-26T21:25:14.0784625Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-08-26T21:25:14.0785413Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2025-08-26T21:25:14.0786208Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-08-26T21:25:14.0786983Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file 2025-08-26T21:25:14.0787768Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-08-26T21:25:14.0788723Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-08-26T21:25:14.0789620Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-08-26T21:25:14.0790511Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 42 <- wrt source file 2025-08-26T21:25:14.0791300Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-08-26T21:25:14.0792070Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 58 <- wrt source file 2025-08-26T21:25:14.0792874Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-08-26T21:25:14.0793625Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 85 <- wrt source file 2025-08-26T21:25:14.0794349Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0 2025-08-26T21:25:14.0795068Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-08-26T21:25:14.0795910Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0 2025-08-26T21:25:14.0796748Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 186 <- wrt source file 2025-08-26T21:25:14.0797692Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-08-26T21:25:14.0798643Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 322 <- wrt source file 2025-08-26T21:25:14.0799638Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-08-26T21:25:14.0800501Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0, line 79 <- wrt source file 2025-08-26T21:25:14.0801278Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0 2025-08-26T21:25:14.0802044Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 156 <- wrt source file 2025-08-26T21:25:14.0802838Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-08-26T21:25:14.0803799Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0, line 474 <- wrt source file 2025-08-26T21:25:14.0804668Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0 2025-08-26T21:25:14.0805533Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-08-26T21:25:14.0806452Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-08-26T21:25:14.0807290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 155 <- wrt source file 2025-08-26T21:25:14.0808078Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-08-26T21:25:14.0808991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1410 <- wrt source file 2025-08-26T21:25:14.0809955Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-08-26T21:25:14.0811012Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 158 <- wrt source file 2025-08-26T21:25:14.0812076Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-08-26T21:25:14.0817967Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1345 <- wrt source file 2025-08-26T21:25:14.0818726Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0 2025-08-26T21:25:14.0819539Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1187 <- wrt source file 2025-08-26T21:25:14.0820378Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-08-26T21:25:14.0821240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1259 <- wrt source file 2025-08-26T21:25:14.0822141Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-08-26T21:25:14.0822955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1337 <- wrt source file 2025-08-26T21:25:14.0823788Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-08-26T21:25:14.0824677Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1448 <- wrt source file 2025-08-26T21:25:14.0825515Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0 2025-08-26T21:25:14.0826313Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0, line 1684 <- wrt source file 2025-08-26T21:25:14.0827096Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0 2025-08-26T21:25:14.0827881Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0, line 1957 <- wrt source file 2025-08-26T21:25:14.0828751Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0 2025-08-26T21:25:14.0829605Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file 2025-08-26T21:25:14.0830394Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0 2025-08-26T21:25:14.0831264Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0, line 156 <- wrt source file 2025-08-26T21:25:14.0832122Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0 2025-08-26T21:25:14.0832939Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 277 <- wrt source file 2025-08-26T21:25:14.0833750Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0 2025-08-26T21:25:14.0834531Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 320 <- wrt source file 2025-08-26T21:25:14.0835334Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-08-26T21:25:14.0836189Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 357 <- wrt source file 2025-08-26T21:25:14.0837003Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-08-26T21:25:14.0837781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 387 <- wrt source file 2025-08-26T21:25:14.0858761Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-08-26T21:25:14.0860264Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 422 <- wrt source file 2025-08-26T21:25:14.0862857Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-08-26T21:25:14.0864367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 457 <- wrt source file 2025-08-26T21:25:14.0866711Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-08-26T21:25:14.0867683Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 494 <- wrt source file 2025-08-26T21:25:14.0872163Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-08-26T21:25:14.0873289Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 893 <- wrt source file 2025-08-26T21:25:14.0882142Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-08-26T21:25:14.0883312Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 69 <- wrt source file 2025-08-26T21:25:14.0884543Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-08-26T21:25:14.0885798Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 375 <- wrt source file 2025-08-26T21:25:14.0887122Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0 2025-08-26T21:25:14.0888444Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 410 <- wrt source file 2025-08-26T21:25:14.0889612Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0 2025-08-26T21:25:14.0890831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 547 <- wrt source file 2025-08-26T21:25:14.0891931Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0 2025-08-26T21:25:14.0893011Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 749 <- wrt source file 2025-08-26T21:25:14.0894128Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-08-26T21:25:14.0895263Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1226 <- wrt source file 2025-08-26T21:25:14.0896421Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-08-26T21:25:14.0897678Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1382 <- wrt source file 2025-08-26T21:25:14.0898906Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-08-26T21:25:14.0900078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 77 <- wrt source file 2025-08-26T21:25:14.0901251Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-08-26T21:25:14.0902300Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 40 <- wrt source file 2025-08-26T21:25:14.0903293Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-08-26T21:25:14.0913323Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 238 <- wrt source file 2025-08-26T21:25:14.0914900Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-08-26T21:25:14.0916566Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 309 <- wrt source file 2025-08-26T21:25:14.0918689Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-08-26T21:25:14.0920359Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-08-26T21:25:14.0922114Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-08-26T21:25:14.0923732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-08-26T21:25:14.0925087Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-08-26T21:25:14.0926120Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 219 <- wrt source file 2025-08-26T21:25:14.0927292Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-08-26T21:25:14.0928296Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0, line 441 <- wrt source file 2025-08-26T21:25:14.0929403Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0 2025-08-26T21:25:14.0930459Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file 2025-08-26T21:25:14.0931625Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-08-26T21:25:14.0932734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 268 <- wrt source file 2025-08-26T21:25:14.0933878Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-08-26T21:25:14.0935032Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file 2025-08-26T21:25:14.0936361Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0 2025-08-26T21:25:14.0937597Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-08-26T21:25:14.0938915Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-08-26T21:25:14.0940178Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 29 <- wrt source file 2025-08-26T21:25:14.0941466Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-08-26T21:25:14.0942685Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 35 <- wrt source file 2025-08-26T21:25:14.0943905Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-08-26T21:25:14.0945112Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-08-26T21:25:14.0946363Z * SKIPPED: 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file 2025-08-26T21:25:14.0954023Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0 2025-08-26T21:25:14.0955262Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 180 <- wrt source file 2025-08-26T21:25:14.0956606Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0 2025-08-26T21:25:14.0957817Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file 2025-08-26T21:25:14.0959059Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-08-26T21:25:14.0960312Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 35 <- wrt source file 2025-08-26T21:25:14.0961605Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-08-26T21:25:14.0962963Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file 2025-08-26T21:25:14.0964570Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-08-26T21:25:14.0966535Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 25 <- wrt source file 2025-08-26T21:25:14.0968578Z * SKIPPED: 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line 201 <- wrt source file 2025-08-26T21:25:14.0980234Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-08-26T21:25:14.0982143Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-08-26T21:25:14.0984091Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0 2025-08-26T21:25:14.0985495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 88 <- wrt source file 2025-08-26T21:25:14.0986739Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0 2025-08-26T21:25:14.0988125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 304 <- wrt source file 2025-08-26T21:25:14.0989342Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0 2025-08-26T21:25:14.0990679Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 390 <- wrt source file 2025-08-26T21:25:14.0992009Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-08-26T21:25:14.0993285Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 604 <- wrt source file 2025-08-26T21:25:14.0994580Z * SKIPPED: 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wrt source file 2025-08-26T21:25:14.1002073Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-08-26T21:25:14.1003238Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file 2025-08-26T21:25:14.1004447Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-08-26T21:25:14.1005562Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-08-26T21:25:14.1006664Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-08-26T21:25:14.1007700Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-08-26T21:25:14.1008815Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-08-26T21:25:14.1009863Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 364 <- wrt source file 2025-08-26T21:25:14.1010960Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-08-26T21:25:14.1012082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 724 <- wrt source file 2025-08-26T21:25:14.1411567Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-08-26T21:25:14.1413863Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-08-26T21:25:14.1415714Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-08-26T21:25:14.1417679Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-08-26T21:25:14.1419488Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-08-26T21:25:14.1421268Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 216 <- wrt source file 2025-08-26T21:25:14.1423073Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-08-26T21:25:14.1424866Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 314 <- wrt source file 2025-08-26T21:25:14.1426705Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-08-26T21:25:14.1428820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 362 <- wrt source file 2025-08-26T21:25:14.1430654Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-08-26T21:25:14.1432428Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 394 <- wrt source file 2025-08-26T21:25:14.1434257Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-08-26T21:25:14.1436025Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 441 <- wrt source file 2025-08-26T21:25:14.1437830Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-08-26T21:25:14.1439621Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 480 <- wrt source file 2025-08-26T21:25:14.1441473Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-08-26T21:25:14.1443393Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 533 <- wrt source file 2025-08-26T21:25:14.1445475Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2025-08-26T21:25:14.1447293Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 599 <- wrt source file 2025-08-26T21:25:14.1449135Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2025-08-26T21:25:14.1450895Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 648 <- wrt source file 2025-08-26T21:25:14.1452693Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2025-08-26T21:25:14.1454561Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 811 <- wrt source file 2025-08-26T21:25:14.1456369Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-08-26T21:25:14.1458279Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 878 <- wrt source file 2025-08-26T21:25:14.1460164Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-08-26T21:25:14.1461957Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 989 <- wrt source file 2025-08-26T21:25:14.1463798Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-08-26T21:25:14.1465750Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1063 <- wrt source file 2025-08-26T21:25:14.1467859Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-08-26T21:25:14.1470138Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1084 <- wrt source file 2025-08-26T21:25:14.1472197Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-08-26T21:25:14.1474149Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1108 <- wrt source file 2025-08-26T21:25:14.1476066Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-08-26T21:25:14.1477883Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1154 <- wrt source file 2025-08-26T21:25:14.1479678Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-08-26T21:25:14.1481295Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-08-26T21:25:14.1482835Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0 2025-08-26T21:25:14.1484490Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1466 <- wrt source file 2025-08-26T21:25:14.1497896Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0 2025-08-26T21:25:14.1499516Z * DOCTEST : 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* DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 736 <- wrt source file 2025-08-26T21:25:14.1512289Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0 2025-08-26T21:25:14.1514019Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 825 <- wrt source file 2025-08-26T21:25:14.1515746Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0 2025-08-26T21:25:14.1517544Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4734 <- wrt source file 2025-08-26T21:25:14.1519470Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0 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295 <- wrt source file 2025-08-26T21:25:14.1542370Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0 2025-08-26T21:25:14.1544022Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 617 <- wrt source file 2025-08-26T21:25:14.1545664Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0 2025-08-26T21:25:14.1547275Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 36 <- wrt source file 2025-08-26T21:25:14.1549117Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0 2025-08-26T21:25:14.1550971Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file 2025-08-26T21:25:14.1552687Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0 2025-08-26T21:25:14.1554416Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 122 <- wrt source file 2025-08-26T21:25:14.1556219Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0 2025-08-26T21:25:14.1557911Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 214 <- wrt source file 2025-08-26T21:25:14.1559704Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0 2025-08-26T21:25:14.1561262Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 103 <- wrt source file 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-08-26T21:25:14.1604618Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 283 <- wrt source file 2025-08-26T21:25:14.1606205Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-08-26T21:25:14.1607691Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 353 <- wrt source file 2025-08-26T21:25:14.1609176Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-08-26T21:25:14.1610730Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 410 <- wrt source file 2025-08-26T21:25:14.1612427Z * SKIPPED: 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2025-08-26T21:25:14.1642607Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0, line 630 <- wrt source file 2025-08-26T21:25:14.1644161Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0 2025-08-26T21:25:14.1645660Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 894 <- wrt source file 2025-08-26T21:25:14.1647191Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0 2025-08-26T21:25:14.1648653Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1010 <- wrt source file 2025-08-26T21:25:14.1650129Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0 2025-08-26T21:25:14.1651571Z * DOCTEST : 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0 2025-08-26T21:25:14.1850231Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0, line 434 <- wrt source file 2025-08-26T21:25:14.1852368Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0 2025-08-26T21:25:14.1854432Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file 2025-08-26T21:25:14.1856262Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0 2025-08-26T21:25:14.1857881Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file 2025-08-26T21:25:14.1859430Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0 2025-08-26T21:25:14.1860954Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0, line 89 <- wrt source file 2025-08-26T21:25:14.1862548Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0 2025-08-26T21:25:14.1864581Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file 2025-08-26T21:25:14.1866704Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0 2025-08-26T21:25:14.1868802Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1721 <- wrt source file 2025-08-26T21:25:14.1870600Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2025-08-26T21:25:14.1872244Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 372 <- wrt source file 2025-08-26T21:25:14.1873811Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-08-26T21:25:14.1875439Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_registry.py::register_template_heuristic:0, line 45 <- wrt source file 2025-08-26T21:25:14.1877362Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_registry.py::register_template_heuristic:0 2025-08-26T21:25:14.1879055Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 3418 <- wrt source file 2025-08-26T21:25:14.1880769Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-08-26T21:25:14.1882423Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 460 <- wrt source file 2025-08-26T21:25:14.1947882Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-08-26T21:25:14.1949017Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 579 <- wrt source file 2025-08-26T21:25:14.2473084Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-08-26T21:25:14.2499867Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2174 <- wrt source file 2025-08-26T21:25:14.2512193Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-08-26T21:25:14.2513667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2478 <- wrt source file 2025-08-26T21:25:14.2520352Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0 2025-08-26T21:25:14.2521842Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2618 <- wrt source file 2025-08-26T21:25:14.2538988Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0 2025-08-26T21:25:14.2540382Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3051 <- wrt source file 2025-08-26T21:25:14.2568324Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0 2025-08-26T21:25:14.2569747Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3121 <- wrt source file 2025-08-26T21:25:14.2575519Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0 2025-08-26T21:25:14.2576967Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3430 <- wrt source file 2025-08-26T21:25:14.2584437Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0 2025-08-26T21:25:14.2586111Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3495 <- wrt source file 2025-08-26T21:25:14.2590415Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-08-26T21:25:14.2592048Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3565 <- wrt source file 2025-08-26T21:25:14.2597500Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-08-26T21:25:14.2599018Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5263 <- wrt source file 2025-08-26T21:25:14.2606942Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0 2025-08-26T21:25:14.2608290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 171 <- wrt source file 2025-08-26T21:25:14.2610192Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0 2025-08-26T21:25:14.2611506Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 230 <- wrt source file 2025-08-26T21:25:14.2612841Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0 2025-08-26T21:25:14.2614107Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 257 <- wrt source file 2025-08-26T21:25:14.2615553Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0 2025-08-26T21:25:14.2616862Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 292 <- wrt source file 2025-08-26T21:25:14.2625545Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0 2025-08-26T21:25:14.2627309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 306 <- wrt source file 2025-08-26T21:25:14.2629051Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0 2025-08-26T21:25:14.2631115Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 323 <- wrt source file 2025-08-26T21:25:14.2632786Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0 2025-08-26T21:25:14.2634258Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 336 <- wrt source file 2025-08-26T21:25:14.2635852Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0 2025-08-26T21:25:14.2637309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 352 <- wrt source file 2025-08-26T21:25:14.2638812Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0 2025-08-26T21:25:14.2640257Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 374 <- wrt source file 2025-08-26T21:25:14.2641977Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0 2025-08-26T21:25:14.2643550Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 460 <- wrt source file 2025-08-26T21:25:14.2645193Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-08-26T21:25:14.2646960Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 492 <- wrt source file 2025-08-26T21:25:14.2648568Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0 2025-08-26T21:25:14.2650121Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 543 <- wrt source file 2025-08-26T21:25:14.2651763Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-08-26T21:25:14.2653314Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 608 <- wrt source file 2025-08-26T21:25:14.2654922Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-08-26T21:25:14.2656672Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 647 <- wrt source file 2025-08-26T21:25:14.2658231Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0 2025-08-26T21:25:14.2659725Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 700 <- wrt source file 2025-08-26T21:25:14.2661257Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0 2025-08-26T21:25:14.2662780Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-08-26T21:25:14.2666799Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0 2025-08-26T21:25:14.2668475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-08-26T21:25:14.2672298Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-08-26T21:25:14.2673691Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-08-26T21:25:14.2679763Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0 2025-08-26T21:25:14.2681140Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-08-26T21:25:14.2685906Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-08-26T21:25:14.2687289Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-08-26T21:25:14.2743151Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0 2025-08-26T21:25:14.2744555Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-08-26T21:25:14.2768130Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-08-26T21:25:14.2769606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 120 <- wrt source file 2025-08-26T21:25:14.2771415Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-08-26T21:25:14.2772970Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-08-26T21:25:14.2790140Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-08-26T21:25:14.2791078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-08-26T21:25:14.2802793Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-08-26T21:25:14.2804781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-08-26T21:25:14.2809479Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-08-26T21:25:14.2811038Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file 2025-08-26T21:25:14.2814948Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-08-26T21:25:14.2816318Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 215 <- wrt source file 2025-08-26T21:25:14.2844168Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-08-26T21:25:14.2845612Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 329 <- wrt source file 2025-08-26T21:25:14.2852373Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-08-26T21:25:14.2853843Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 418 <- wrt source file 2025-08-26T21:25:14.2867165Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-08-26T21:25:14.2868695Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 535 <- wrt source file 2025-08-26T21:25:14.2875216Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-08-26T21:25:14.2876620Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 617 <- wrt source file 2025-08-26T21:25:14.2880780Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-08-26T21:25:14.2882351Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 703 <- wrt source file 2025-08-26T21:25:14.2886898Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-08-26T21:25:14.2888382Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 778 <- wrt source file 2025-08-26T21:25:14.2895543Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-08-26T21:25:14.2897068Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 826 <- wrt source file 2025-08-26T21:25:14.2902434Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-08-26T21:25:14.2904007Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 974 <- wrt source file 2025-08-26T21:25:14.2911437Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-08-26T21:25:14.2913177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1306 <- wrt source file 2025-08-26T21:25:14.2920642Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-08-26T21:25:14.2922483Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1333 <- wrt source file 2025-08-26T21:25:14.2924051Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-08-26T21:25:14.2925558Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1495 <- wrt source file 2025-08-26T21:25:14.2931276Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-08-26T21:25:14.2933017Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1562 <- wrt source file 2025-08-26T21:25:14.2937876Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-08-26T21:25:14.2939370Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1643 <- wrt source file 2025-08-26T21:25:14.2945108Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-08-26T21:25:14.2946613Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1745 <- wrt source file 2025-08-26T21:25:14.2957534Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-08-26T21:25:14.2959150Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1858 <- wrt source file 2025-08-26T21:25:14.2980765Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-08-26T21:25:14.2982294Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1990 <- wrt source file 2025-08-26T21:25:14.3004734Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-08-26T21:25:14.3005886Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 90 <- wrt source file 2025-08-26T21:25:15.0374523Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-08-26T21:25:15.0389104Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 258 <- wrt source file 2025-08-26T21:25:15.0390150Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-08-26T21:25:15.0391140Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 336 <- wrt source file 2025-08-26T21:25:15.1682960Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-08-26T21:25:15.1684834Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 562 <- wrt source file 2025-08-26T21:25:15.4510115Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-08-26T21:25:15.4516083Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 686 <- wrt source file 2025-08-26T21:25:15.4845762Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-08-26T21:25:15.4846831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 995 <- wrt source file 2025-08-26T21:25:15.5720043Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-08-26T21:25:15.5722031Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 551 <- wrt source file 2025-08-26T21:25:15.5724433Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-08-26T21:25:15.5726119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1039 <- wrt source file 2025-08-26T21:25:15.5740118Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-08-26T21:25:15.5741655Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0, line 1290 <- wrt source file 2025-08-26T21:25:15.5749142Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0 2025-08-26T21:25:15.5750744Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2229 <- wrt source file 2025-08-26T21:25:15.5752389Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-08-26T21:25:15.5754080Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2670 <- wrt source file 2025-08-26T21:25:15.5755677Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-08-26T21:25:15.5757267Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2698 <- wrt source file 2025-08-26T21:25:15.5760391Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-08-26T21:25:15.5762117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2725 <- wrt source file 2025-08-26T21:25:15.5763700Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-08-26T21:25:15.5765243Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2752 <- wrt source file 2025-08-26T21:25:15.5766852Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-08-26T21:25:15.5768419Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2783 <- wrt source file 2025-08-26T21:25:15.5770259Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-08-26T21:25:15.5771810Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2807 <- wrt source file 2025-08-26T21:25:15.5773484Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-08-26T21:25:15.5775015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2845 <- wrt source file 2025-08-26T21:25:15.5776608Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-08-26T21:25:15.5778191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-08-26T21:25:15.5790810Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-08-26T21:25:15.5792509Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-08-26T21:25:15.5822021Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-08-26T21:25:15.5822938Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-08-26T21:25:15.5830743Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-08-26T21:25:15.5831611Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-08-26T21:25:15.5838565Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-08-26T21:25:15.5839904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 367 <- wrt source file 2025-08-26T21:25:15.5843959Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-08-26T21:25:15.5844815Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-08-26T21:25:15.5847427Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-08-26T21:25:15.5848331Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-08-26T21:25:15.5853289Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-08-26T21:25:15.5854191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-08-26T21:25:15.5857066Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-08-26T21:25:15.5857954Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-08-26T21:25:15.5860813Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-08-26T21:25:15.5861699Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-08-26T21:25:15.5864319Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-08-26T21:25:15.5865214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-08-26T21:25:15.5867630Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-08-26T21:25:15.5868609Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-08-26T21:25:15.5871180Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-08-26T21:25:15.5872060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-08-26T21:25:15.5874562Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-08-26T21:25:15.5875428Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-08-26T21:25:15.5877920Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-08-26T21:25:15.5878772Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-08-26T21:25:15.5881501Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0 2025-08-26T21:25:15.5882387Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-08-26T21:25:15.5885094Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-08-26T21:25:15.5885997Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-08-26T21:25:15.5888720Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0 2025-08-26T21:25:15.5889593Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-08-26T21:25:15.5892179Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0 2025-08-26T21:25:15.5893046Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-08-26T21:25:15.5895524Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0 2025-08-26T21:25:15.5896472Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-08-26T21:25:15.5899521Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0 2025-08-26T21:25:15.5900338Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-08-26T21:25:15.5949782Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0 2025-08-26T21:25:15.5950814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-08-26T21:25:15.5953551Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-08-26T21:25:15.5954644Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-08-26T21:25:15.5957145Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-08-26T21:25:15.5958070Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-08-26T21:25:15.5960773Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-08-26T21:25:15.5961606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-08-26T21:25:15.5964382Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-08-26T21:25:15.5965235Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-08-26T21:25:15.5967807Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-08-26T21:25:15.5968789Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1144 <- wrt source file 2025-08-26T21:25:15.5969720Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-08-26T21:25:15.5970566Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1609 <- wrt source file 2025-08-26T21:25:15.5972239Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-08-26T21:25:15.5973064Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1660 <- wrt source file 2025-08-26T21:25:15.5975815Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-08-26T21:25:15.5976655Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1686 <- wrt source file 2025-08-26T21:25:15.5979199Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-08-26T21:25:15.5980021Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1724 <- wrt source file 2025-08-26T21:25:15.5982914Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-08-26T21:25:15.5983809Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1788 <- wrt source file 2025-08-26T21:25:15.5986542Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-08-26T21:25:15.5987367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1835 <- wrt source file 2025-08-26T21:25:15.5990448Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-08-26T21:25:15.5991289Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1874 <- wrt source file 2025-08-26T21:25:15.5994115Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-08-26T21:25:15.5995039Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-08-26T21:25:15.5997745Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-08-26T21:25:15.5998627Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 595 <- wrt source file 2025-08-26T21:25:15.6008207Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-08-26T21:25:15.6008954Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 953 <- wrt source file 2025-08-26T21:25:15.6166039Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-08-26T21:25:15.6166997Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1288 <- wrt source file 2025-08-26T21:25:15.6180113Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-08-26T21:25:15.6181086Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1537 <- wrt source file 2025-08-26T21:25:15.6190842Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-08-26T21:25:15.6191673Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1659 <- wrt source file 2025-08-26T21:25:15.6200083Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-08-26T21:25:15.6200910Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1773 <- wrt source file 2025-08-26T21:25:15.6212536Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-08-26T21:25:15.6213376Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-08-26T21:25:15.6217038Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-08-26T21:25:15.6217904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-08-26T21:25:15.6221679Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-08-26T21:25:15.6222554Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-08-26T21:25:15.6240748Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-08-26T21:25:15.6241629Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-08-26T21:25:15.6375264Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-08-26T21:25:15.6376292Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-08-26T21:25:15.6378570Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-08-26T21:25:15.6379638Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-08-26T21:25:15.6494912Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-08-26T21:25:15.6496167Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-08-26T21:25:15.6498775Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0 2025-08-26T21:25:15.6499902Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-08-26T21:25:15.6512742Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-08-26T21:25:15.6513771Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 332 <- wrt source file 2025-08-26T21:25:15.6553554Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-08-26T21:25:15.6554636Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 443 <- wrt source file 2025-08-26T21:25:15.6752760Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-08-26T21:25:15.6753979Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 554 <- wrt source file 2025-08-26T21:25:15.8020064Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-08-26T21:25:15.8021995Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 678 <- wrt source file 2025-08-26T21:25:15.8024002Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-08-26T21:25:15.8026108Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 844 <- wrt source file 2025-08-26T21:25:15.8028579Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-08-26T21:25:15.8030711Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-08-26T21:25:15.8036736Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-08-26T21:25:15.8038726Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-08-26T21:25:15.8044456Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-08-26T21:25:15.8046362Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-08-26T21:25:15.8048846Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0 2025-08-26T21:25:15.8050621Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-08-26T21:25:15.8056549Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0 2025-08-26T21:25:15.8058304Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-08-26T21:25:15.8087432Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-08-26T21:25:15.8089254Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-08-26T21:25:15.8093804Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-08-26T21:25:15.8095868Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-08-26T21:25:15.8123132Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-08-26T21:25:15.8124963Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-08-26T21:25:15.9058859Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-08-26T21:25:15.9060761Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-08-26T21:25:15.9072641Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-08-26T21:25:15.9074762Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-08-26T21:25:15.9094587Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-08-26T21:25:15.9096422Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-08-26T21:25:15.9443223Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-08-26T21:25:15.9445221Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-08-26T21:25:15.9456463Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-08-26T21:25:15.9458584Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-08-26T21:25:15.9501718Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-08-26T21:25:15.9503660Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-08-26T21:25:16.1276863Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-08-26T21:25:16.1279606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-08-26T21:25:16.1326553Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-08-26T21:25:16.1328721Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-08-26T21:25:16.1883623Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-08-26T21:25:16.1885769Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1152 <- wrt source file 2025-08-26T21:25:16.1893924Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-08-26T21:25:16.1896344Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1204 <- wrt source file 2025-08-26T21:25:16.1951676Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-08-26T21:25:16.1953650Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1264 <- wrt source file 2025-08-26T21:25:16.3869090Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-08-26T21:25:16.3871312Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1320 <- wrt source file 2025-08-26T21:25:16.3896433Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-08-26T21:25:16.3898821Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1355 <- wrt source file 2025-08-26T21:25:16.3906766Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-08-26T21:25:16.3909616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1399 <- wrt source file 2025-08-26T21:25:16.3927459Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-08-26T21:25:16.3929587Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1447 <- wrt source file 2025-08-26T21:25:16.3937916Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-08-26T21:25:16.3940185Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1481 <- wrt source file 2025-08-26T21:25:16.3950790Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-08-26T21:25:16.3953042Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1521 <- wrt source file 2025-08-26T21:25:16.3970097Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-08-26T21:25:16.3972178Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file 2025-08-26T21:25:16.3975872Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-08-26T21:25:16.3977995Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 87 <- wrt source file 2025-08-26T21:25:16.3994365Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-08-26T21:25:16.3996320Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-08-26T21:25:16.4000516Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-08-26T21:25:16.4002497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 122 <- wrt source file 2025-08-26T21:25:16.4022423Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-08-26T21:25:16.4024762Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 187 <- wrt source file 2025-08-26T21:25:16.8551436Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-08-26T21:25:16.8876955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 241 <- wrt source file 2025-08-26T21:25:16.8887696Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-08-26T21:25:16.8889833Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 294 <- wrt source file 2025-08-26T21:25:16.8893769Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-08-26T21:25:16.8895853Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 350 <- wrt source file 2025-08-26T21:25:16.8913451Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-08-26T21:25:16.8915537Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 395 <- wrt source file 2025-08-26T21:25:16.8920364Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-08-26T21:25:16.8921430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 439 <- wrt source file 2025-08-26T21:25:16.8927995Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-08-26T21:25:16.8929048Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 497 <- wrt source file 2025-08-26T21:25:16.8931668Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-08-26T21:25:16.8932715Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 556 <- wrt source file 2025-08-26T21:25:16.8937376Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-08-26T21:25:16.8938431Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 600 <- wrt source file 2025-08-26T21:25:16.8943746Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-08-26T21:25:16.8944935Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 658 <- wrt source file 2025-08-26T21:25:17.2948484Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-08-26T21:25:17.3442635Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 692 <- wrt source file 2025-08-26T21:25:17.3454813Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-08-26T21:25:17.3456803Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 750 <- wrt source file 2025-08-26T21:25:17.3460855Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-08-26T21:25:17.3463265Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 812 <- wrt source file 2025-08-26T21:25:17.3480783Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-08-26T21:25:17.3482793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-08-26T21:25:17.3485110Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0 2025-08-26T21:25:17.3487138Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 260 <- wrt source file 2025-08-26T21:25:17.3489615Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-08-26T21:25:17.3491634Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 283 <- wrt source file 2025-08-26T21:25:17.3498042Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-08-26T21:25:17.3499781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 314 <- wrt source file 2025-08-26T21:25:17.3505086Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-08-26T21:25:17.3506721Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 343 <- wrt source file 2025-08-26T21:25:17.3510705Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-08-26T21:25:17.3512249Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 523 <- wrt source file 2025-08-26T21:25:17.3513814Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-08-26T21:25:17.3515343Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 653 <- wrt source file 2025-08-26T21:25:17.3516924Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-08-26T21:25:17.3518442Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 808 <- wrt source file 2025-08-26T21:25:17.3519997Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-08-26T21:25:17.3521472Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-08-26T21:25:17.3525143Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-08-26T21:25:17.3526723Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-08-26T21:25:17.3530535Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-08-26T21:25:17.3532113Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 322 <- wrt source file 2025-08-26T21:25:17.3542923Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-08-26T21:25:17.3544716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 521 <- wrt source file 2025-08-26T21:25:17.3549326Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-08-26T21:25:17.3550987Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file 2025-08-26T21:25:17.3559439Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-08-26T21:25:17.3561054Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file 2025-08-26T21:25:17.3691878Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-08-26T21:25:17.3693699Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file 2025-08-26T21:25:17.5012772Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-08-26T21:25:17.5145386Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-08-26T21:25:17.5153433Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-08-26T21:25:17.5155665Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-08-26T21:25:17.5159983Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-08-26T21:25:17.5162156Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 127 <- wrt source file 2025-08-26T21:25:17.5164429Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-08-26T21:25:17.5166693Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 642 <- wrt source file 2025-08-26T21:25:17.5169049Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-08-26T21:25:17.5171413Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1446 <- wrt source file 2025-08-26T21:25:17.5173880Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-08-26T21:25:17.5176183Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1833 <- wrt source file 2025-08-26T21:25:17.5177444Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-08-26T21:25:17.5178734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1999 <- wrt source file 2025-08-26T21:25:17.5180081Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-08-26T21:25:17.5181406Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2009 <- wrt source file 2025-08-26T21:25:17.5182840Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-08-26T21:25:17.5184206Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2044 <- wrt source file 2025-08-26T21:25:17.5185713Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-08-26T21:25:17.5187078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2102 <- wrt source file 2025-08-26T21:25:17.5188555Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-08-26T21:25:17.5189716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 95 <- wrt source file 2025-08-26T21:25:17.5190713Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-08-26T21:25:17.5191894Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-08-26T21:25:17.5197022Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-08-26T21:25:17.5198074Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-08-26T21:25:17.5203375Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-08-26T21:25:17.5204463Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file 2025-08-26T21:25:17.5205601Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-08-26T21:25:17.5206691Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 360 <- wrt source file 2025-08-26T21:25:17.5213106Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-08-26T21:25:17.5214187Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 591 <- wrt source file 2025-08-26T21:25:17.5215310Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-08-26T21:25:17.5216574Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file 2025-08-26T21:25:17.5217830Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-08-26T21:25:17.5219049Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 142 <- wrt source file 2025-08-26T21:25:17.5220280Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-08-26T21:25:17.5221339Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-08-26T21:25:17.5228401Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0 2025-08-26T21:25:17.5229402Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file 2025-08-26T21:25:17.5244603Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-08-26T21:25:17.5245702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file 2025-08-26T21:25:17.5249738Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-08-26T21:25:17.5250698Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file 2025-08-26T21:25:17.5261782Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-08-26T21:25:17.5262747Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file 2025-08-26T21:25:17.5268825Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-08-26T21:25:17.5269909Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file 2025-08-26T21:25:17.5284748Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-08-26T21:25:17.5285738Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 849 <- wrt source file 2025-08-26T21:25:17.5286715Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0 2025-08-26T21:25:17.5287705Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 885 <- wrt source file 2025-08-26T21:25:17.5288772Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-08-26T21:25:17.5300387Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1067 <- wrt source file 2025-08-26T21:25:17.5317166Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-08-26T21:25:17.5318147Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1169 <- wrt source file 2025-08-26T21:25:17.5325906Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-08-26T21:25:17.5326873Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1197 <- wrt source file 2025-08-26T21:25:17.5331403Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0 2025-08-26T21:25:17.5332320Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1225 <- wrt source file 2025-08-26T21:25:17.5338953Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-08-26T21:25:17.5339819Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-08-26T21:25:17.5340769Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-08-26T21:25:17.5341689Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 196 <- wrt source file 2025-08-26T21:25:17.5342958Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-08-26T21:25:17.5343951Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-08-26T21:25:17.5349193Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-08-26T21:25:17.5350073Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 346 <- wrt source file 2025-08-26T21:25:17.5355067Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-08-26T21:25:17.5356001Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-08-26T21:25:17.5356960Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-08-26T21:25:17.5358000Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:25:17.5360393Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-08-26T21:25:17.5361398Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-08-26T21:25:17.5364325Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0 2025-08-26T21:25:17.5365184Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-08-26T21:25:17.5366060Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0 2025-08-26T21:25:17.5366922Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-08-26T21:25:17.5369257Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-08-26T21:25:17.5370067Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-08-26T21:25:17.5373340Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0 2025-08-26T21:25:17.5374160Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-08-26T21:25:17.5377535Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-08-26T21:25:17.5378412Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 166 <- wrt source file 2025-08-26T21:25:17.5382970Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-08-26T21:25:17.5383876Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 187 <- wrt source file 2025-08-26T21:25:17.5384834Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-08-26T21:25:17.5385725Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-08-26T21:25:17.5386711Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-08-26T21:25:17.5387537Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-08-26T21:25:17.5388422Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-08-26T21:25:17.5389236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 42 <- wrt source file 2025-08-26T21:25:17.5392505Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-08-26T21:25:17.5393332Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 117 <- wrt source file 2025-08-26T21:25:17.5399646Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-08-26T21:25:17.5400526Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 127 <- wrt source file 2025-08-26T21:25:17.5404467Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2025-08-26T21:25:17.5405396Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-08-26T21:25:17.5408972Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-08-26T21:25:17.5409843Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-08-26T21:25:17.5413632Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0 2025-08-26T21:25:17.5414521Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-08-26T21:25:17.5418566Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-08-26T21:25:17.5419535Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2025-08-26T21:25:17.5422407Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0 2025-08-26T21:25:17.5423245Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file 2025-08-26T21:25:17.5425977Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-08-26T21:25:17.5426811Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-08-26T21:25:17.5435236Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-08-26T21:25:17.5436195Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file 2025-08-26T21:25:17.5437306Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2025-08-26T21:25:17.5438220Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-08-26T21:25:17.5439884Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0 2025-08-26T21:25:17.5440787Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-08-26T21:25:17.5441801Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-08-26T21:25:17.5442728Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-08-26T21:25:17.5445701Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-08-26T21:25:17.5446635Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-08-26T21:25:17.5450420Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-08-26T21:25:17.5451389Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 24 <- wrt source file 2025-08-26T21:25:17.5453533Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2025-08-26T21:25:17.5454612Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-08-26T21:25:17.5458178Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-08-26T21:25:17.5459067Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-08-26T21:25:17.5463454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-08-26T21:25:17.5464559Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-08-26T21:25:17.5470905Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0 2025-08-26T21:25:17.5472161Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-08-26T21:25:17.5474753Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0 2025-08-26T21:25:17.5475705Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-08-26T21:25:17.5479982Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0 2025-08-26T21:25:17.5480828Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-08-26T21:25:17.5487243Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-08-26T21:25:17.5488135Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-08-26T21:25:17.5492564Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-08-26T21:25:17.5493645Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 116 <- wrt source file 2025-08-26T21:25:17.5497679Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2025-08-26T21:25:17.5498566Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-08-26T21:25:17.5501573Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0 2025-08-26T21:25:17.5502350Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-08-26T21:25:17.5505132Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0 2025-08-26T21:25:17.5505930Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-08-26T21:25:17.5509524Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0 2025-08-26T21:25:17.5510370Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-08-26T21:25:17.5514146Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-08-26T21:25:17.5515106Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-08-26T21:25:17.5517457Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0 2025-08-26T21:25:17.5518318Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-08-26T21:25:17.5521275Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-08-26T21:25:17.5522141Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1065 <- wrt source file 2025-08-26T21:25:17.5523111Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0 2025-08-26T21:25:17.5523997Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1177 <- wrt source file 2025-08-26T21:25:17.5524914Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0 2025-08-26T21:25:17.5525950Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1253 <- wrt source file 2025-08-26T21:25:17.5526997Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2025-08-26T21:25:17.5527900Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file 2025-08-26T21:25:17.5528732Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0 2025-08-26T21:25:17.5529535Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-08-26T21:25:17.5530424Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0 2025-08-26T21:25:17.5531232Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-08-26T21:25:17.5532064Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0 2025-08-26T21:25:17.5534888Z ============ 2025-08-26T21:25:17.5535197Z Finished doctests 2025-08-26T21:25:17.5535428Z 374 / 862 passed 2025-08-26T21:25:17.5535757Z  2025-08-26T21:25:17.5536075Z === Found 17 parse-time warnings === 2025-08-26T21:25:17.5536518Z --- Parse Warning: 1 / 17 --- 2025-08-26T21:25:17.5544038Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=375. 2025-08-26T21:25:17.5545124Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.5545669Z Registers the function implementation as the fallback for the given key. 2025-08-26T21:25:17.5546057Z 2025-08-26T21:25:17.5546368Z This function only works for a library with global namespace ("_"). 2025-08-26T21:25:17.5546732Z 2025-08-26T21:25:17.5546903Z Args: 2025-08-26T21:25:17.5547278Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-08-26T21:25:17.5547729Z to register a fallthrough. 2025-08-26T21:25:17.5548450Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-08-26T21:25:17.5548982Z the dispatch key that the library was created with. 2025-08-26T21:25:17.5549541Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-08-26T21:25:17.5550234Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-08-26T21:25:17.5550685Z 2025-08-26T21:25:17.5550886Z Example:: 2025-08-26T21:25:17.5551105Z 2025-08-26T21:25:17.5551313Z >>> my_lib = Library("_", "IMPL") 2025-08-26T21:25:17.5551631Z >>> def fallback_kernel(op, *args, **kwargs): 2025-08-26T21:25:17.5551962Z >>> # Handle all autocast ops generically 2025-08-26T21:25:17.5552255Z >>> # ... 2025-08-26T21:25:17.5552614Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-08-26T21:25:17.5552926Z 2025-08-26T21:25:17.5553576Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-08-26T21:25:17.5554347Z 2025-08-26T21:25:17.5554578Z my_lib.fallback(fallback_kernel, "Autocast") 2025-08-26T21:25:17.5554868Z ^ 2025-08-26T21:25:17.5555056Z warnings.warn(msg) 2025-08-26T21:25:17.5555267Z 2025-08-26T21:25:17.5555578Z --- Parse Warning: 2 / 17 --- 2025-08-26T21:25:17.5556483Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=948. 2025-08-26T21:25:17.5557471Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.5557981Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-08-26T21:25:17.5558341Z 2025-08-26T21:25:17.5558596Z Also sometimes known as a "meta kernel", "abstract impl". 2025-08-26T21:25:17.5558909Z 2025-08-26T21:25:17.5559214Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-08-26T21:25:17.5559800Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-08-26T21:25:17.5560284Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-08-26T21:25:17.5560702Z what the properties of the output Tensors are. 2025-08-26T21:25:17.5560986Z 2025-08-26T21:25:17.5561268Z The FakeTensor implementation has the same signature as the operator. 2025-08-26T21:25:17.5561732Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-08-26T21:25:17.5562192Z implementation, assume that all Tensor inputs to the operator are 2025-08-26T21:25:17.5562652Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-08-26T21:25:17.5563096Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-08-26T21:25:17.5563562Z The FakeTensor implementation must consist of only PyTorch operations 2025-08-26T21:25:17.5564013Z (and may not directly access the storage or data of any input or 2025-08-26T21:25:17.5564362Z intermediate Tensors). 2025-08-26T21:25:17.5564597Z 2025-08-26T21:25:17.5564825Z This API may be used as a decorator (see examples). 2025-08-26T21:25:17.5565123Z 2025-08-26T21:25:17.5565337Z For a detailed guide on custom ops, please see 2025-08-26T21:25:17.5565771Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-08-26T21:25:17.5566141Z 2025-08-26T21:25:17.5566314Z Args: 2025-08-26T21:25:17.5566626Z op_name: Operator name (along with the overload) or OpOverload object. 2025-08-26T21:25:17.5567021Z func: Fake tensor implementation. 2025-08-26T21:25:17.5567453Z lib (Optional[Library]): Library to register the fake tensor to. 2025-08-26T21:25:17.5567876Z allow_override: Flag controlling if we want to override an 2025-08-26T21:25:17.5568278Z existing registered fake impl. This is by default off, 2025-08-26T21:25:17.5568686Z and will error you're trying to register a fake impl to 2025-08-26T21:25:17.5569082Z an operator that already has a fake impl. This also only 2025-08-26T21:25:17.5569484Z applies if the custom operator was not created via 2025-08-26T21:25:17.5569891Z torch.library.custom_op, as overriding and existing fake 2025-08-26T21:25:17.5570263Z impl is already allowed. 2025-08-26T21:25:17.5570531Z 2025-08-26T21:25:17.5570715Z Examples: 2025-08-26T21:25:17.5570935Z >>> import torch 2025-08-26T21:25:17.5571250Z >>> import numpy as np 2025-08-26T21:25:17.5571534Z >>> from torch import Tensor 2025-08-26T21:25:17.5571807Z >>> 2025-08-26T21:25:17.5572099Z >>> # Example 1: an operator without data-dependent output shape 2025-08-26T21:25:17.5572548Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-08-26T21:25:17.5573089Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-26T21:25:17.5573540Z >>> raise NotImplementedError("Implementation goes here") 2025-08-26T21:25:17.5573868Z >>> 2025-08-26T21:25:17.5574137Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-08-26T21:25:17.5574471Z >>> def _(x, weight, bias): 2025-08-26T21:25:17.5574745Z >>> assert x.dim() == 2 2025-08-26T21:25:17.5575023Z >>> assert weight.dim() == 2 2025-08-26T21:25:17.5575314Z >>> assert bias.dim() == 1 2025-08-26T21:25:17.5575620Z >>> assert x.shape[1] == weight.shape[1] 2025-08-26T21:25:17.5575952Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-26T21:25:17.5576474Z >>> assert x.device == weight.device 2025-08-26T21:25:17.5576754Z >>> 2025-08-26T21:25:17.5577040Z >>> return (x @ weight.t()) + bias 2025-08-26T21:25:17.5577308Z >>> 2025-08-26T21:25:17.5577579Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-08-26T21:25:17.5577921Z >>> x = torch.randn(2, 3) 2025-08-26T21:25:17.5578203Z >>> w = torch.randn(3, 3) 2025-08-26T21:25:17.5578474Z >>> b = torch.randn(3) 2025-08-26T21:25:17.5578776Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-08-26T21:25:17.5579072Z >>> 2025-08-26T21:25:17.5579289Z >>> assert y.shape == (2, 3) 2025-08-26T21:25:17.5579551Z >>> 2025-08-26T21:25:17.5579826Z >>> # Example 2: an operator with data-dependent output shape 2025-08-26T21:25:17.5580272Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-08-26T21:25:17.5580668Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-08-26T21:25:17.5580981Z >>> x_np = x.numpy(force=True) 2025-08-26T21:25:17.5581295Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-26T21:25:17.5581632Z >>> return torch.tensor(res, device=x.device) 2025-08-26T21:25:17.5581920Z >>> 2025-08-26T21:25:17.5582190Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-08-26T21:25:17.5582523Z >>> def _(x): 2025-08-26T21:25:17.5582804Z >>> # Number of nonzero-elements is data-dependent. 2025-08-26T21:25:17.5583170Z >>> # Since we cannot peek at the data in an fake impl, 2025-08-26T21:25:17.5583545Z >>> # we use the ctx object to construct a new symint that 2025-08-26T21:25:17.5583907Z >>> # represents the data-dependent size. 2025-08-26T21:25:17.5584298Z >>> ctx = torch.library.get_ctx() 2025-08-26T21:25:17.5584605Z >>> nnz = ctx.new_dynamic_size() 2025-08-26T21:25:17.5584889Z >>> shape = [nnz, x.dim()] 2025-08-26T21:25:17.5585227Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-26T21:25:17.5585553Z >>> return result 2025-08-26T21:25:17.5585798Z >>> 2025-08-26T21:25:17.5586074Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-08-26T21:25:17.5586400Z >>> 2025-08-26T21:25:17.5586627Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-08-26T21:25:17.5587040Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-08-26T21:25:17.5587449Z >>> trace.print_readable() 2025-08-26T21:25:17.5587706Z >>> 2025-08-26T21:25:17.5588218Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-08-26T21:25:17.5588592Z 2025-08-26T21:25:17.5588764Z 2025-08-26T21:25:17.5589315Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-08-26T21:25:17.5590047Z 2025-08-26T21:25:17.5590228Z _._ = None 2025-08-26T21:25:17.5590426Z ^ 2025-08-26T21:25:17.5590626Z warnings.warn(msg) 2025-08-26T21:25:17.5590853Z 2025-08-26T21:25:17.5591129Z --- Parse Warning: 3 / 17 --- 2025-08-26T21:25:17.5592027Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1482. 2025-08-26T21:25:17.5593012Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.5593511Z Returns the computed kernel for a given operator and dispatch key. 2025-08-26T21:25:17.5593871Z 2025-08-26T21:25:17.5594161Z This function retrieves the kernel that would be executed for a given 2025-08-26T21:25:17.5594655Z operator and dispatch key combination. The returned SafeKernelFunction 2025-08-26T21:25:17.5595121Z can be used to call the kernel in a boxed fashion. The intended use 2025-08-26T21:25:17.5595651Z case for this function is to retrieve the original kernel for a given 2025-08-26T21:25:17.5596114Z dispatch key and then register another kernel to the same dispatch key 2025-08-26T21:25:17.5596542Z that calls into the original kernel for certain cases. 2025-08-26T21:25:17.5596857Z 2025-08-26T21:25:17.5597034Z Args: 2025-08-26T21:25:17.5597327Z op: Operator name (along with the overload) or OpOverload object 2025-08-26T21:25:17.5597797Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-08-26T21:25:17.5598312Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-08-26T21:25:17.5598797Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-08-26T21:25:17.5599137Z 2025-08-26T21:25:17.5599313Z Returns: 2025-08-26T21:25:17.5599635Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-08-26T21:25:17.5600037Z call the kernel. 2025-08-26T21:25:17.5600280Z 2025-08-26T21:25:17.5600461Z Raises: 2025-08-26T21:25:17.5600720Z RuntimeError: If the operator does not exist. 2025-08-26T21:25:17.5601020Z 2025-08-26T21:25:17.5601204Z Example: 2025-08-26T21:25:17.5601443Z >>> # Get the CPU kernel for torch.add 2025-08-26T21:25:17.5601814Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-08-26T21:25:17.5602152Z >>> 2025-08-26T21:25:17.5602383Z >>> # You can also use DispatchKey enum 2025-08-26T21:25:17.5602885Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-08-26T21:25:17.5603289Z >>> 2025-08-26T21:25:17.5603514Z >>> # Or use an OpOverload directly 2025-08-26T21:25:17.5603916Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-08-26T21:25:17.5604296Z >>> 2025-08-26T21:25:17.5604603Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-08-26T21:25:17.5604995Z >>> # Get the original kernel for torch.sin 2025-08-26T21:25:17.5605382Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-08-26T21:25:17.5605731Z >>> 2025-08-26T21:25:17.5606044Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-08-26T21:25:17.5606458Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-08-26T21:25:17.5606765Z >>> if (x < 0).any(): 2025-08-26T21:25:17.5607164Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-08-26T21:25:17.5607501Z >>> else: 2025-08-26T21:25:17.5607751Z >>> return torch.zeros_like(x) 2025-08-26T21:25:17.5608016Z >>> 2025-08-26T21:25:17.5608258Z >>> lib = torch.library.Library("aten", "IMPL") 2025-08-26T21:25:17.5608764Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-08-26T21:25:17.5609252Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-08-26T21:25:17.5609673Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-08-26T21:25:17.5610002Z >>> 2025-08-26T21:25:17.5610214Z >>> # Test the conditional behavior 2025-08-26T21:25:17.5610518Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-08-26T21:25:17.5610820Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-08-26T21:25:17.5611113Z >>> torch.sin(x_positive) 2025-08-26T21:25:17.5611381Z tensor([0., 0.]) 2025-08-26T21:25:17.5611624Z >>> torch.sin(x_mixed) 2025-08-26T21:25:17.5611884Z tensor([-0.8415, 0.9093]) 2025-08-26T21:25:17.5612130Z 2025-08-26T21:25:17.5612647Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-08-26T21:25:17.5613290Z 2025-08-26T21:25:17.5613546Z which needs to be the first argument to ``kernel.call_boxed`` 2025-08-26T21:25:17.5613872Z ^ 2025-08-26T21:25:17.5614066Z warnings.warn(msg) 2025-08-26T21:25:17.5614291Z 2025-08-26T21:25:17.5614551Z --- Parse Warning: 4 / 17 --- 2025-08-26T21:25:17.5615439Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=434. 2025-08-26T21:25:17.5616423Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.5616828Z Retrieves the CUDA runtime API module. 2025-08-26T21:25:17.5617090Z 2025-08-26T21:25:17.5617258Z 2025-08-26T21:25:17.5617567Z This function initializes the CUDA runtime environment if it is not already 2025-08-26T21:25:17.5618086Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-08-26T21:25:17.5618567Z runtime API module provides access to various CUDA runtime functions. 2025-08-26T21:25:17.5618924Z 2025-08-26T21:25:17.5619091Z Args: 2025-08-26T21:25:17.5619278Z ``None`` 2025-08-26T21:25:17.5619471Z 2025-08-26T21:25:17.5619638Z Returns: 2025-08-26T21:25:17.5619874Z module: The CUDA runtime API module (_cudart). 2025-08-26T21:25:17.5620158Z 2025-08-26T21:25:17.5620328Z Raises: 2025-08-26T21:25:17.5620639Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-08-26T21:25:17.5621299Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-08-26T21:25:17.5621769Z 2025-08-26T21:25:17.5621983Z Example of CUDA operations with profiling: 2025-08-26T21:25:17.5622277Z >>> import torch 2025-08-26T21:25:17.5622551Z >>> from torch.cuda import cudart, check_error 2025-08-26T21:25:17.5622853Z >>> import os 2025-08-26T21:25:17.5623076Z >>> 2025-08-26T21:25:17.5623290Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-08-26T21:25:17.5623561Z >>> 2025-08-26T21:25:17.5623795Z >>> def perform_cuda_operations_with_streams(): 2025-08-26T21:25:17.5624111Z >>> stream = torch.cuda.Stream() 2025-08-26T21:25:17.5624413Z >>> with torch.cuda.stream(stream): 2025-08-26T21:25:17.5624729Z >>> x = torch.randn(100, 100, device='cuda') 2025-08-26T21:25:17.5625336Z >>> y = torch.randn(100, 100, device='cuda') 2025-08-26T21:25:17.5625920Z >>> z = torch.mul(x, y) 2025-08-26T21:25:17.5626432Z >>> return z 2025-08-26T21:25:17.5626852Z >>> 2025-08-26T21:25:17.5627273Z >>> torch.cuda.synchronize() 2025-08-26T21:25:17.5627980Z >>> print("====== Start nsys profiling ======") 2025-08-26T21:25:17.5628730Z >>> check_error(cudart().cudaProfilerStart()) 2025-08-26T21:25:17.5629375Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-08-26T21:25:17.5630047Z >>> result = perform_cuda_operations_with_streams() 2025-08-26T21:25:17.5630701Z >>> print("CUDA operations completed.") 2025-08-26T21:25:17.5631371Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-08-26T21:25:17.5632052Z >>> print("====== End nsys profiling ======") 2025-08-26T21:25:17.5632585Z 2025-08-26T21:25:17.5633121Z To run this example and save the profiling information, execute: 2025-08-26T21:25:17.5634254Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-26T21:25:17.5635176Z 2025-08-26T21:25:17.5635710Z This command profiles the CUDA operations in the provided script and saves 2025-08-26T21:25:17.5636284Z the profiling information to a file named `trace_name.prof`. 2025-08-26T21:25:17.5636749Z The `--profile-from-start off` option ensures that profiling starts only 2025-08-26T21:25:17.5637172Z after the `cudaProfilerStart` call in the script. 2025-08-26T21:25:17.5637593Z The `--csv` and `--print-summary` options format the profiling output as a 2025-08-26T21:25:17.5637999Z CSV file and print a summary, respectively. 2025-08-26T21:25:17.5638420Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-08-26T21:25:17.5638867Z overwrite of the output file if it already exists. 2025-08-26T21:25:17.5639175Z 2025-08-26T21:25:17.5639840Z 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', 1, 2)) 2025-08-26T21:25:17.5640548Z 2025-08-26T21:25:17.5640954Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-26T21:25:17.5641423Z ^ 2025-08-26T21:25:17.5641616Z warnings.warn(msg) 2025-08-26T21:25:17.5641836Z 2025-08-26T21:25:17.5642095Z --- Parse Warning: 5 / 17 --- 2025-08-26T21:25:17.5643039Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=66. 2025-08-26T21:25:17.5644259Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.5644891Z Check if the current accelerator is available at runtime: it was build, all the 2025-08-26T21:25:17.5645845Z required drivers are available and at least one device is visible. 2025-08-26T21:25:17.5646628Z See :ref:`accelerator` for details. 2025-08-26T21:25:17.5647192Z 2025-08-26T21:25:17.5647536Z Returns: 2025-08-26T21:25:17.5648231Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-08-26T21:25:17.5649019Z 2025-08-26T21:25:17.5649620Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-08-26T21:25:17.5650638Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-08-26T21:25:17.5651673Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-08-26T21:25:17.5652531Z :ref:`multiprocessing-poison-fork-note`. 2025-08-26T21:25:17.5653098Z 2025-08-26T21:25:17.5653599Z Example:: 2025-08-26T21:25:17.5653982Z 2025-08-26T21:25:17.5654623Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T21:25:17.5655390Z 2025-08-26T21:25:17.5656516Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-08-26T21:25:17.5657890Z 2025-08-26T21:25:17.5658506Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T21:25:17.5659299Z ^ 2025-08-26T21:25:17.5659825Z warnings.warn(msg) 2025-08-26T21:25:17.5660246Z 2025-08-26T21:25:17.5660736Z --- Parse Warning: 6 / 17 --- 2025-08-26T21:25:17.5662567Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=212. 2025-08-26T21:25:17.5664591Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.5665550Z Wait for all kernels in all streams on the given device to complete. 2025-08-26T21:25:17.5666218Z 2025-08-26T21:25:17.5666688Z Args: 2025-08-26T21:25:17.5667428Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-08-26T21:25:17.5668610Z the current :ref:`accelerator` device type. If not given, 2025-08-26T21:25:17.5669517Z use :func:`torch.accelerator.current_device_index` by default. 2025-08-26T21:25:17.5670170Z 2025-08-26T21:25:17.5670860Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-08-26T21:25:17.5671689Z 2025-08-26T21:25:17.5672024Z Example:: 2025-08-26T21:25:17.5672401Z 2025-08-26T21:25:17.5672830Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-26T21:25:17.5673687Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T21:25:17.5674569Z >>> start_event = torch.Event(enable_timing=True) 2025-08-26T21:25:17.5675216Z >>> end_event = torch.Event(enable_timing=True) 2025-08-26T21:25:17.5675799Z >>> start_event.record() 2025-08-26T21:25:17.5676222Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-08-26T21:25:17.5676614Z >>> sum = torch.sum(tensor) 2025-08-26T21:25:17.5676886Z >>> end_event.record() 2025-08-26T21:25:17.5677173Z >>> torch.accelerator.synchronize() 2025-08-26T21:25:17.5677527Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-08-26T21:25:17.5677848Z 2025-08-26T21:25:17.5678425Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-08-26T21:25:17.5679147Z 2025-08-26T21:25:17.5679475Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-26T21:25:17.5679886Z ^ 2025-08-26T21:25:17.5680160Z warnings.warn(msg) 2025-08-26T21:25:17.5680382Z 2025-08-26T21:25:17.5680637Z --- Parse Warning: 7 / 17 --- 2025-08-26T21:25:17.5681628Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94. 2025-08-26T21:25:17.5682737Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-26T21:25:17.5683126Z 2025-08-26T21:25:17.5683429Z Registers a fake kernel based on the given operator profiles. This fake 2025-08-26T21:25:17.5684030Z kernel registration will override any existing fake kernel registrations. 2025-08-26T21:25:17.5684419Z 2025-08-26T21:25:17.5684698Z The input is a dictionary mapping operator names to a set of operator 2025-08-26T21:25:17.5685458Z profiles, which we will use to generate fake kernels. The operator profiles 2025-08-26T21:25:17.5686513Z are a record of the input and output tensor metadata. Based on this 2025-08-26T21:25:17.5687424Z information we will match a given input to the recorded profile, and return 2025-08-26T21:25:17.5688364Z an output with the same metadata as in the recorded profile. If a profile 2025-08-26T21:25:17.5689158Z doesn't exist then an exception will be thrown. 2025-08-26T21:25:17.5689707Z 2025-08-26T21:25:17.5690276Z The fake kernel generation is considered unsafe because it relies on the 2025-08-26T21:25:17.5691225Z rigid, pre-defined operator profiles that do not account for potential 2025-08-26T21:25:17.5692186Z variations in output behavior. Specifically, the generated kernels assume a 2025-08-26T21:25:17.5693192Z fixed relationship between input and output ranks. However, in reality, it's 2025-08-26T21:25:17.5694191Z possible that data-dependent operations may produce outputs of different 2025-08-26T21:25:17.5695137Z ranks even when given inputs of the same rank. The generated fake kernels 2025-08-26T21:25:17.5696212Z are inflexible and unable to accommodate these nuances, making them 2025-08-26T21:25:17.5696920Z potentially unsafe. 2025-08-26T21:25:17.5697334Z 2025-08-26T21:25:17.5697657Z Args: 2025-08-26T21:25:17.5698222Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-08-26T21:25:17.5699090Z name to a set of operator profiles from which we will generate fake 2025-08-26T21:25:17.5699751Z kernels. 2025-08-26T21:25:17.5700136Z 2025-08-26T21:25:17.5700459Z Examples: 2025-08-26T21:25:17.5700817Z 2025-08-26T21:25:17.5701294Z >>> # Example: Registering an op-profile from draft-export 2025-08-26T21:25:17.5701925Z >>> import torch 2025-08-26T21:25:17.5702478Z >>> from torch.export._draft_export import draft_export 2025-08-26T21:25:17.5703080Z >>> 2025-08-26T21:25:17.5703592Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-08-26T21:25:17.5704296Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-08-26T21:25:17.5704852Z >>> return x + y 2025-08-26T21:25:17.5705279Z >>> 2025-08-26T21:25:17.5705668Z >>> class M(torch.nn.Module): 2025-08-26T21:25:17.5706194Z >>> def forward(self, a, b): 2025-08-26T21:25:17.5706791Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-08-26T21:25:17.5707377Z >>> return res 2025-08-26T21:25:17.5707813Z >>> 2025-08-26T21:25:17.5708406Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-08-26T21:25:17.5709014Z >>> 2025-08-26T21:25:17.5709705Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-08-26T21:25:17.5710775Z >>> decomp = ep.run_decompositions() 2025-08-26T21:25:17.5711311Z 2025-08-26T21:25:17.5711634Z 2025-08-26T21:25:17.5712610Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-08-26T21:25:17.5713717Z 2025-08-26T21:25:17.5714055Z warnings.warn(msg) 2025-08-26T21:25:17.5714478Z 2025-08-26T21:25:17.5714971Z --- Parse Warning: 8 / 17 --- 2025-08-26T21:25:17.5716360Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=397. 2025-08-26T21:25:17.5717441Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.5717989Z Register a FakeTensor implementation for this custom op. 2025-08-26T21:25:17.5718324Z 2025-08-26T21:25:17.5718643Z This is necessary to get the operator to work efficiently with torch.compile. 2025-08-26T21:25:17.5719032Z 2025-08-26T21:25:17.5719322Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-08-26T21:25:17.5719885Z specifies the behavior of this operator on Tensors that carry no data. 2025-08-26T21:25:17.5720307Z Given some input Tensors with certain properties 2025-08-26T21:25:17.5720751Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-08-26T21:25:17.5721175Z the output Tensors are. 2025-08-26T21:25:17.5721421Z 2025-08-26T21:25:17.5721699Z Please see :func:`torch.library.register_fake` for more details. 2025-08-26T21:25:17.5722045Z 2025-08-26T21:25:17.5722217Z Args: 2025-08-26T21:25:17.5722496Z fn (Callable): The function to register as the FakeTensor 2025-08-26T21:25:17.5722834Z implementation. 2025-08-26T21:25:17.5723078Z 2025-08-26T21:25:17.5723261Z Examples: 2025-08-26T21:25:17.5723490Z >>> import torch 2025-08-26T21:25:17.5723746Z >>> import numpy as np 2025-08-26T21:25:17.5724117Z >>> from torch import Tensor 2025-08-26T21:25:17.5724378Z >>> 2025-08-26T21:25:17.5724667Z >>> # Example 1: an operator without data-dependent output shape 2025-08-26T21:25:17.5725291Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-08-26T21:25:17.5726103Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-26T21:25:17.5726816Z >>> return (x @ weight.t()) + bias 2025-08-26T21:25:17.5727336Z >>> 2025-08-26T21:25:17.5727756Z >>> @linear.register_fake 2025-08-26T21:25:17.5728300Z >>> def _(x, weight, bias): 2025-08-26T21:25:17.5728833Z >>> assert x.dim() == 2 2025-08-26T21:25:17.5729379Z >>> assert weight.dim() == 2 2025-08-26T21:25:17.5729941Z >>> assert bias.dim() == 1 2025-08-26T21:25:17.5730520Z >>> assert x.shape[1] == weight.shape[1] 2025-08-26T21:25:17.5731150Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-26T21:25:17.5731784Z >>> assert x.device == weight.device 2025-08-26T21:25:17.5732438Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-08-26T21:25:17.5733023Z >>> 2025-08-26T21:25:17.5733439Z >>> x = torch.randn(2, 2) 2025-08-26T21:25:17.5733993Z >>> weight = torch.randn(2, 2) 2025-08-26T21:25:17.5734530Z >>> bias = torch.randn(2) 2025-08-26T21:25:17.5735103Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T21:25:17.5735836Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-08-26T21:25:17.5736697Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T21:25:17.5737534Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-08-26T21:25:17.5738283Z >>> 2025-08-26T21:25:17.5738817Z >>> # Example 2: an operator with data-dependent output shape 2025-08-26T21:25:17.5739615Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-08-26T21:25:17.5740323Z >>> def nonzero(x: Tensor) -> Tensor: 2025-08-26T21:25:17.5740888Z >>> x_np = x.cpu().numpy() 2025-08-26T21:25:17.5741467Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-26T21:25:17.5742103Z >>> return torch.tensor(res, device=x.device) 2025-08-26T21:25:17.5742655Z >>> 2025-08-26T21:25:17.5743066Z >>> @nonzero.register_fake 2025-08-26T21:25:17.5743718Z >>> def _(x): 2025-08-26T21:25:17.5760144Z >>> # Number of nonzero-elements is data-dependent. 2025-08-26T21:25:17.5760622Z >>> # Since we cannot peek at the data in an abstract impl, 2025-08-26T21:25:17.5761032Z >>> # we use the ctx object to construct a new symint that 2025-08-26T21:25:17.5761553Z >>> # represents the data-dependent size. 2025-08-26T21:25:17.5761894Z >>> ctx = torch.library.get_ctx() 2025-08-26T21:25:17.5762225Z >>> nnz = ctx.new_dynamic_size() 2025-08-26T21:25:17.5762539Z >>> shape = [nnz, x.dim()] 2025-08-26T21:25:17.5762874Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-26T21:25:17.5763200Z >>> return result 2025-08-26T21:25:17.5763458Z >>> 2025-08-26T21:25:17.5763691Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-08-26T21:25:17.5764029Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T21:25:17.5764388Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-08-26T21:25:17.5764732Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-26T21:25:17.5765232Z >>> assert torch.allclose(out, x.nonzero()) 2025-08-26T21:25:17.5765957Z 2025-08-26T21:25:17.5766309Z 2025-08-26T21:25:17.5767409Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-08-26T21:25:17.5768596Z 2025-08-26T21:25:17.5768931Z _._ = None 2025-08-26T21:25:17.5769300Z ^ 2025-08-26T21:25:17.5769668Z warnings.warn(msg) 2025-08-26T21:25:17.5770089Z 2025-08-26T21:25:17.5770683Z --- Parse Warning: 9 / 17 --- 2025-08-26T21:25:17.5772667Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=721. 2025-08-26T21:25:17.5774863Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.5775619Z 2025-08-26T21:25:17.5776287Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-08-26T21:25:17.5777385Z The submesh created consists of the dimensions and the communicators indicated by 2025-08-26T21:25:17.5778173Z ``mesh_dim_names`` 2025-08-26T21:25:17.5778577Z 2025-08-26T21:25:17.5778909Z Args: 2025-08-26T21:25:17.5779511Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-08-26T21:25:17.5780412Z mesh dimension of the DeviceMesh to create the submesh for. 2025-08-26T21:25:17.5781054Z Returns: 2025-08-26T21:25:17.5781452Z A :class:`DeviceMesh` object 2025-08-26T21:25:17.5781936Z 2025-08-26T21:25:17.5782603Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-08-26T21:25:17.5783618Z In the first example: 2025-08-26T21:25:17.5784347Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-08-26T21:25:17.5785356Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-08-26T21:25:17.5786328Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-08-26T21:25:17.5787244Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-08-26T21:25:17.5788277Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-08-26T21:25:17.5789184Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-08-26T21:25:17.5789863Z 2025-08-26T21:25:17.5790225Z In the second example: 2025-08-26T21:25:17.5791127Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-08-26T21:25:17.5792184Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-08-26T21:25:17.5793216Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-08-26T21:25:17.5794385Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-08-26T21:25:17.5795129Z 2025-08-26T21:25:17.5795490Z Example:: 2025-08-26T21:25:17.5795810Z 2025-08-26T21:25:17.5796009Z >>> # xdoctest: +SKIP("no rank") 2025-08-26T21:25:17.5796350Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-08-26T21:25:17.5796672Z >>> 2025-08-26T21:25:17.5796955Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-08-26T21:25:17.5797344Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-08-26T21:25:17.5797783Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-26T21:25:17.5798195Z >>> tp_mesh = mesh_2d["tp"] 2025-08-26T21:25:17.5798461Z >>> dp_mesh = mesh_2d["dp"] 2025-08-26T21:25:17.5798691Z >>> 2025-08-26T21:25:17.5798885Z >>> # Initialize a 3D mesh. 2025-08-26T21:25:17.5799372Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-08-26T21:25:17.5799961Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-08-26T21:25:17.5800414Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-08-26T21:25:17.5800700Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-08-26T21:25:17.5800954Z 2025-08-26T21:25:17.5801617Z 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', 6, 83)) 2025-08-26T21:25:17.5802339Z 2025-08-26T21:25:17.5802648Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-26T21:25:17.5803065Z ^ 2025-08-26T21:25:17.5803363Z warnings.warn(msg) 2025-08-26T21:25:17.5803596Z 2025-08-26T21:25:17.5803859Z --- Parse Warning: 10 / 17 --- 2025-08-26T21:25:17.5804883Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-08-26T21:25:17.5806981Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.5807724Z 2025-08-26T21:25:17.5808400Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-08-26T21:25:17.5809229Z 2025-08-26T21:25:17.5809902Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-08-26T21:25:17.5810888Z 2025-08-26T21:25:17.5811544Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-26T21:25:17.5812421Z will be visible to the whole process. 2025-08-26T21:25:17.5812946Z 2025-08-26T21:25:17.5813623Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-08-26T21:25:17.5814413Z 2025-08-26T21:25:17.5814795Z 1) set_up_planner - called on all ranks. 2025-08-26T21:25:17.5815383Z Signals the start of a checkpoint save. 2025-08-26T21:25:17.5815912Z 2025-08-26T21:25:17.5816303Z 2) create_local_plan - called on all ranks. 2025-08-26T21:25:17.5817163Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-08-26T21:25:17.5817959Z 2025-08-26T21:25:17.5818459Z 3) create_global_plan - called on the coordinator rank only. 2025-08-26T21:25:17.5819453Z Takes the SavePlan from all ranks and make any global decision. 2025-08-26T21:25:17.5820136Z 2025-08-26T21:25:17.5820510Z 4) finish_plan - called on all ranks. 2025-08-26T21:25:17.5821234Z This gives each rank a chance to adjust to global planning decisions. 2025-08-26T21:25:17.5821940Z 2025-08-26T21:25:17.5822526Z 5) resolve_data - called multiple times on each rank 2025-08-26T21:25:17.5823313Z Lookups a value on the `state_dict` for the storage layer to write. 2025-08-26T21:25:17.5824003Z 2025-08-26T21:25:17.5824700Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-08-26T21:25:17.5825701Z most changes can be expressed by changes in a single method. 2025-08-26T21:25:17.5826408Z 2025-08-26T21:25:17.5826863Z There are 3 usual patterns of extension: 2025-08-26T21:25:17.5827441Z 2025-08-26T21:25:17.5828145Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-08-26T21:25:17.5829149Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-08-26T21:25:17.5829853Z 2025-08-26T21:25:17.5830237Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T21:25:17.5830843Z >>> class RenamePlanner(DefaultSavePlanner): 2025-08-26T21:25:17.5831426Z >>> def set_up_planner( 2025-08-26T21:25:17.5832069Z >>> self, 2025-08-26T21:25:17.5832519Z >>> state_dict: STATE_DICT_TYPE, 2025-08-26T21:25:17.5833098Z >>> storage_meta: Optional[StorageMeta], 2025-08-26T21:25:17.5833674Z >>> is_coordinator: bool, 2025-08-26T21:25:17.5834170Z >>> ) -> None: 2025-08-26T21:25:17.5834610Z >>> # prefix all keys with `foo_`` 2025-08-26T21:25:17.5835462Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-08-26T21:25:17.5836267Z 2025-08-26T21:25:17.5837001Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-08-26T21:25:17.5837874Z 2025-08-26T21:25:17.5838259Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T21:25:17.5838851Z >>> class FP16Planner(DefaultSavePlanner): 2025-08-26T21:25:17.5839425Z >>> def create_local_plan(self): 2025-08-26T21:25:17.5839993Z >>> plan = super().create_local_plan() 2025-08-26T21:25:17.5840576Z >>> for p in plan: 2025-08-26T21:25:17.5841086Z >>> if p.tensor_data is not None: 2025-08-26T21:25:17.5841741Z >>> p.tensor_data.properties.dtype = torch.float16 2025-08-26T21:25:17.5842365Z >>> return plan 2025-08-26T21:25:17.5842789Z >>> 2025-08-26T21:25:17.5843200Z >>> def resolve_data(self, write_item): 2025-08-26T21:25:17.5843796Z >>> item = super().resolve_data(write_item) 2025-08-26T21:25:17.5844648Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-08-26T21:25:17.5845430Z 2025-08-26T21:25:17.5846355Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-08-26T21:25:17.5847253Z 2025-08-26T21:25:17.5847636Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T21:25:17.5848204Z >>> from itertools import zip_longest 2025-08-26T21:25:17.5848761Z >>> from dataclasses import replace 2025-08-26T21:25:17.5849418Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-08-26T21:25:17.5850336Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-08-26T21:25:17.5851201Z >>> # This sample doesn't handle ShardedTensors 2025-08-26T21:25:17.5851808Z >>> def create_global_plan(self, all_plans): 2025-08-26T21:25:17.5852470Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-08-26T21:25:17.5853093Z >>> items_per_rank = [ 2025-08-26T21:25:17.5853648Z >>> [item for item in items if item is not None] 2025-08-26T21:25:17.5854484Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-08-26T21:25:17.5855095Z >>> ] 2025-08-26T21:25:17.5855492Z >>> all_plans = [ 2025-08-26T21:25:17.5855989Z >>> replace(plan, items=items) 2025-08-26T21:25:17.5856681Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-08-26T21:25:17.5857488Z >>> ] 2025-08-26T21:25:17.5857962Z >>> return super().create_global_plan(all_plans) 2025-08-26T21:25:17.5858521Z 2025-08-26T21:25:17.5859140Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-08-26T21:25:17.5860222Z accomplished by having each rank contribute their data items in the local plan and 2025-08-26T21:25:17.5861058Z the global planner aggregate them: 2025-08-26T21:25:17.5861559Z 2025-08-26T21:25:17.5861935Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T21:25:17.5862568Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-08-26T21:25:17.5863237Z >>> def create_local_plan(self) -> SavePlan: 2025-08-26T21:25:17.5863846Z >>> plan = super().create_local_plan() 2025-08-26T21:25:17.5864508Z >>> return replace(plan, planner_data="per-rank-data") 2025-08-26T21:25:17.5865107Z >>> 2025-08-26T21:25:17.5865935Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-08-26T21:25:17.5866939Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-08-26T21:25:17.5867713Z >>> merged_data = [p.planner_data for p in global_plan] 2025-08-26T21:25:17.5868528Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-08-26T21:25:17.5869188Z >>> return global_plan, metadata 2025-08-26T21:25:17.5869682Z 2025-08-26T21:25:17.5870734Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-08-26T21:25:17.5871913Z 2025-08-26T21:25:17.5872244Z _._ = None 2025-08-26T21:25:17.5872611Z ^ 2025-08-26T21:25:17.5872973Z warnings.warn(msg) 2025-08-26T21:25:17.5873393Z 2025-08-26T21:25:17.5873897Z --- Parse Warning: 11 / 17 --- 2025-08-26T21:25:17.5875846Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-08-26T21:25:17.5877977Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.5878709Z 2025-08-26T21:25:17.5879365Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-08-26T21:25:17.5880168Z 2025-08-26T21:25:17.5880813Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-08-26T21:25:17.5881599Z 2025-08-26T21:25:17.5882448Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-26T21:25:17.5883304Z will be visible to the whole process. 2025-08-26T21:25:17.5883811Z 2025-08-26T21:25:17.5884448Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-08-26T21:25:17.5885234Z 2025-08-26T21:25:17.5885630Z 1) set_up_planner - called on all ranks. 2025-08-26T21:25:17.5886230Z Signals the start of loading a checkpoint. 2025-08-26T21:25:17.5886761Z 2025-08-26T21:25:17.5887164Z 2) create_local_plan - called on all ranks. 2025-08-26T21:25:17.5888031Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-08-26T21:25:17.5888831Z 2025-08-26T21:25:17.5889324Z 3) create_global_plan - called on the coordinator rank only. 2025-08-26T21:25:17.5890146Z Takes the LoadPlan from all ranks and make any global decision. 2025-08-26T21:25:17.5890804Z 2025-08-26T21:25:17.5891390Z 4) load_bytes - called multiple times on each rank 2025-08-26T21:25:17.5892117Z This is called once per non-tensor value in state_dict. 2025-08-26T21:25:17.5892711Z 2025-08-26T21:25:17.5893259Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-08-26T21:25:17.5894280Z They are called in pair for each Tensor value in state_dict. 2025-08-26T21:25:17.5894897Z 2025-08-26T21:25:17.5895577Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-08-26T21:25:17.5896573Z most changes can be expressed by changes in a single method. 2025-08-26T21:25:17.5897187Z 2025-08-26T21:25:17.5897585Z There are two usual patterns of extension: 2025-08-26T21:25:17.5898110Z 2025-08-26T21:25:17.5898713Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-08-26T21:25:17.5899745Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-08-26T21:25:17.5900720Z to keep a reference to the original state_dict as load happens in place so 2025-08-26T21:25:17.5901501Z we need to be able to perform it in place 2025-08-26T21:25:17.5902023Z 2025-08-26T21:25:17.5902405Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T21:25:17.5903157Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-08-26T21:25:17.5903741Z >>> def set_up_planner( 2025-08-26T21:25:17.5904198Z >>> self, 2025-08-26T21:25:17.5904649Z >>> state_dict: STATE_DICT_TYPE, 2025-08-26T21:25:17.5905172Z >>> metadata: Metadata, 2025-08-26T21:25:17.5905682Z >>> is_coordinator: bool, 2025-08-26T21:25:17.5906176Z >>> ) -> None: 2025-08-26T21:25:17.5906643Z >>> self.original_state_dict = state_dict 2025-08-26T21:25:17.5907326Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-08-26T21:25:17.5907952Z >>> 2025-08-26T21:25:17.5908453Z >>> if self.flatten_sharded_tensors: 2025-08-26T21:25:17.5909082Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-08-26T21:25:17.5909669Z >>> 2025-08-26T21:25:17.5910047Z >>> if self.flatten_state_dict: 2025-08-26T21:25:17.5910705Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-08-26T21:25:17.5911349Z >>> 2025-08-26T21:25:17.5911721Z >>> self.state_dict = state_dict 2025-08-26T21:25:17.5912255Z >>> self.metadata = metadata 2025-08-26T21:25:17.5912819Z >>> self.is_coordinator = is_coordinator 2025-08-26T21:25:17.5913351Z >>> 2025-08-26T21:25:17.5913744Z >>> def load_bytes(self, read_item, value): 2025-08-26T21:25:17.5914314Z >>> # Remove the "foo_" prefix 2025-08-26T21:25:17.5915161Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-08-26T21:25:17.5916016Z 2025-08-26T21:25:17.5916338Z 2025-08-26T21:25:17.5916961Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-08-26T21:25:17.5917891Z 2025-08-26T21:25:17.5918292Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-26T21:25:17.5918943Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-08-26T21:25:17.5919605Z >>> def resolve_tensor(self, read_item): 2025-08-26T21:25:17.5920240Z >>> tensor = super().resolve_tensor(read_item) 2025-08-26T21:25:17.5920914Z >>> return torch.empty_like(tensor, device="cpu") 2025-08-26T21:25:17.5921490Z >>> 2025-08-26T21:25:17.5921903Z >>> def commit_tensor(self, read_item, tensor): 2025-08-26T21:25:17.5922565Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-08-26T21:25:17.5923162Z 2025-08-26T21:25:17.5924226Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-08-26T21:25:17.5925408Z 2025-08-26T21:25:17.5925739Z _._ = None 2025-08-26T21:25:17.5926261Z ^ 2025-08-26T21:25:17.5926634Z warnings.warn(msg) 2025-08-26T21:25:17.5927067Z 2025-08-26T21:25:17.5927573Z --- Parse Warning: 12 / 17 --- 2025-08-26T21:25:17.5929515Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295. 2025-08-26T21:25:17.5931771Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.5932530Z 2025-08-26T21:25:17.5933061Z ``FullStateDictConfig`` is a config class meant to be used with 2025-08-26T21:25:17.5933918Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-08-26T21:25:17.5934761Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-08-26T21:25:17.5935643Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-08-26T21:25:17.5936533Z is meant to be used via the :func:`state_dict_type` context manager as 2025-08-26T21:25:17.5937190Z follows: 2025-08-26T21:25:17.5937548Z 2025-08-26T21:25:17.5937962Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-26T21:25:17.5938750Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-26T21:25:17.5939728Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-08-26T21:25:17.5940475Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-08-26T21:25:17.5941370Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-08-26T21:25:17.5942098Z >>> state = fsdp.state_dict() 2025-08-26T21:25:17.5942807Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-08-26T21:25:17.5943737Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-08-26T21:25:17.5944710Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-08-26T21:25:17.5945468Z >>> if dist.get_rank() == 0: 2025-08-26T21:25:17.5946111Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-08-26T21:25:17.5946840Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-08-26T21:25:17.5947479Z >>> model.load_state_dict(state_dict) 2025-08-26T21:25:17.5948360Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-08-26T21:25:17.5949344Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-08-26T21:25:17.5950098Z >>> fsdp = FSDP( 2025-08-26T21:25:17.5950522Z ... model, 2025-08-26T21:25:17.5950994Z ... device_id=torch.cuda.current_device(), 2025-08-26T21:25:17.5951582Z ... auto_wrap_policy=..., 2025-08-26T21:25:17.5952103Z ... sync_module_states=True, 2025-08-26T21:25:17.5952589Z ... ) 2025-08-26T21:25:17.5953160Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-08-26T21:25:17.5954006Z 2025-08-26T21:25:17.5954348Z Attributes: 2025-08-26T21:25:17.5954923Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-08-26T21:25:17.5955779Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-08-26T21:25:17.5956574Z ranks save the full state dict. (Default: ``False``) 2025-08-26T21:25:17.5957157Z 2025-08-26T21:25:17.5958155Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-08-26T21:25:17.5959278Z 2025-08-26T21:25:17.5959602Z _._ = None 2025-08-26T21:25:17.5959960Z ^ 2025-08-26T21:25:17.5960314Z warnings.warn(msg) 2025-08-26T21:25:17.5960733Z 2025-08-26T21:25:17.5961224Z --- Parse Warning: 13 / 17 --- 2025-08-26T21:25:17.5963274Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1233. 2025-08-26T21:25:17.5965347Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.5966397Z Reduce learning rate when a metric has stopped improving. 2025-08-26T21:25:17.5967022Z 2025-08-26T21:25:17.5967537Z Models often benefit from reducing the learning rate by a factor 2025-08-26T21:25:17.5968373Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-08-26T21:25:17.5969189Z quantity and if no improvement is seen for a 'patience' number 2025-08-26T21:25:17.5969902Z of epochs, the learning rate is reduced. 2025-08-26T21:25:17.5970419Z 2025-08-26T21:25:17.5970738Z Args: 2025-08-26T21:25:17.5971180Z optimizer (Optimizer): Wrapped optimizer. 2025-08-26T21:25:17.5971848Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-08-26T21:25:17.5972566Z be reduced when the quantity monitored has stopped 2025-08-26T21:25:17.5973292Z decreasing; in `max` mode it will be reduced when the 2025-08-26T21:25:17.5974066Z quantity monitored has stopped increasing. Default: 'min'. 2025-08-26T21:25:17.5975023Z factor (float): Factor by which the learning rate will be 2025-08-26T21:25:17.5975721Z reduced. new_lr = lr * factor. Default: 0.1. 2025-08-26T21:25:17.5976496Z patience (int): The number of allowed epochs with no improvement after 2025-08-26T21:25:17.5977268Z which the learning rate will be reduced. 2025-08-26T21:25:17.5978038Z For example, consider the case of having no patience (`patience = 0`). 2025-08-26T21:25:17.5979212Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-08-26T21:25:17.5980333Z In the second epoch, if the performance is worse than the baseline, 2025-08-26T21:25:17.5981124Z we have what is considered an intolerable epoch. 2025-08-26T21:25:17.5982000Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-08-26T21:25:17.5982926Z the learning rate is reduced at the end of this epoch. 2025-08-26T21:25:17.5983915Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-08-26T21:25:17.5985153Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-08-26T21:25:17.5986046Z the learning rate is not adjusted. 2025-08-26T21:25:17.5986596Z Default: 10. 2025-08-26T21:25:17.5987210Z threshold (float): Threshold for measuring the new optimum, 2025-08-26T21:25:17.5987976Z to only focus on significant changes. Default: 1e-4. 2025-08-26T21:25:17.5988959Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-08-26T21:25:17.5989688Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-08-26T21:25:17.5990368Z mode or best * ( 1 - threshold ) in `min` mode. 2025-08-26T21:25:17.5991058Z In `abs` mode, dynamic_threshold = best + threshold in 2025-08-26T21:25:17.5991794Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-08-26T21:25:17.5992560Z cooldown (int): Number of epochs to wait before resuming 2025-08-26T21:25:17.5993310Z normal operation after lr has been reduced. Default: 0. 2025-08-26T21:25:17.5994045Z min_lr (float or list): A scalar or a list of scalars. A 2025-08-26T21:25:17.5994746Z lower bound on the learning rate of all param groups 2025-08-26T21:25:17.5995410Z or each group respectively. Default: 0. 2025-08-26T21:25:17.5996255Z eps (float): Minimal decay applied to lr. If the difference 2025-08-26T21:25:17.5997038Z between new and old lr is smaller than eps, the update is 2025-08-26T21:25:17.5997711Z ignored. Default: 1e-8. 2025-08-26T21:25:17.5998183Z 2025-08-26T21:25:17.5998516Z Example: 2025-08-26T21:25:17.5999087Z >>> # xdoctest: +SKIP 2025-08-26T21:25:17.5999786Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-08-26T21:25:17.6000626Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-08-26T21:25:17.6001248Z >>> for epoch in range(10): 2025-08-26T21:25:17.6001747Z >>> train(...) 2025-08-26T21:25:17.6002224Z >>> val_loss = validate(...) 2025-08-26T21:25:17.6002841Z >>> # Note that step should be called after validate() 2025-08-26T21:25:17.6003456Z >>> scheduler.step(val_loss) 2025-08-26T21:25:17.6003946Z 2025-08-26T21:25:17.6004464Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-08-26T21:25:17.6005110Z 2025-08-26T21:25:17.6005985Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-08-26T21:25:17.6006970Z 2025-08-26T21:25:17.6007536Z scheduler.step(val_loss) 2025-08-26T21:25:17.6008003Z ^ 2025-08-26T21:25:17.6008364Z warnings.warn(msg) 2025-08-26T21:25:17.6008776Z 2025-08-26T21:25:17.6009278Z --- Parse Warning: 14 / 17 --- 2025-08-26T21:25:17.6011022Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-08-26T21:25:17.6012941Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.6013674Z 2025-08-26T21:25:17.6014214Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-08-26T21:25:17.6015096Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-08-26T21:25:17.6015954Z pushes the map into PyTorch operations called by ``func``, effectively 2025-08-26T21:25:17.6016682Z vectorizing those operations. 2025-08-26T21:25:17.6017152Z 2025-08-26T21:25:17.6017684Z vmap is useful for handling batch dimensions: one can write a function 2025-08-26T21:25:17.6018535Z ``func`` that runs on examples and then lift it to a function that can 2025-08-26T21:25:17.6019375Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-08-26T21:25:17.6020179Z compute batched gradients when composed with autograd. 2025-08-26T21:25:17.6020774Z 2025-08-26T21:25:17.6021099Z .. note:: 2025-08-26T21:25:17.6021620Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-08-26T21:25:17.6022325Z convenience. Use whichever one you'd like. 2025-08-26T21:25:17.6022863Z 2025-08-26T21:25:17.6023188Z Args: 2025-08-26T21:25:17.6023872Z func (function): A Python function that takes one or more arguments. 2025-08-26T21:25:17.6024608Z Must return one or more Tensors. 2025-08-26T21:25:17.6025306Z in_dims (int or nested structure): Specifies which dimension of the 2025-08-26T21:25:17.6026120Z inputs should be mapped over. ``in_dims`` should have a 2025-08-26T21:25:17.6026911Z structure like the inputs. If the ``in_dim`` for a particular 2025-08-26T21:25:17.6027714Z input is None, then that indicates there is no map dimension. 2025-08-26T21:25:17.6028466Z Default: 0. 2025-08-26T21:25:17.6029046Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-08-26T21:25:17.6029855Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-08-26T21:25:17.6030614Z it should have one element per output. Default: 0. 2025-08-26T21:25:17.6031526Z randomness (str): Specifies whether the randomness in this 2025-08-26T21:25:17.6032372Z vmap should be the same or different across batches. If 'different', 2025-08-26T21:25:17.6033233Z the randomness for each batch will be different. If 'same', the 2025-08-26T21:25:17.6034090Z randomness will be the same across batches. If 'error', any calls to 2025-08-26T21:25:17.6035131Z random functions will error. Default: 'error'. WARNING: this flag 2025-08-26T21:25:17.6035826Z only applies to random PyTorch operations and does not apply to 2025-08-26T21:25:17.6036378Z Python's random module or numpy randomness. 2025-08-26T21:25:17.6036965Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-08-26T21:25:17.6037652Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-08-26T21:25:17.6038384Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-08-26T21:25:17.6039180Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-08-26T21:25:17.6039748Z 2025-08-26T21:25:17.6039995Z Returns: 2025-08-26T21:25:17.6040389Z Returns a new "batched" function. It takes the same inputs as 2025-08-26T21:25:17.6041111Z ``func``, except each input has an extra dimension at the index 2025-08-26T21:25:17.6041716Z specified by ``in_dims``. It takes returns the same outputs as 2025-08-26T21:25:17.6042311Z ``func``, except each output has an extra dimension at the index 2025-08-26T21:25:17.6042809Z specified by ``out_dims``. 2025-08-26T21:25:17.6043162Z 2025-08-26T21:25:17.6043409Z .. warning: 2025-08-26T21:25:17.6043832Z :func:`vmap` works best with functional-style code. Please do not 2025-08-26T21:25:17.6044447Z perform any side-effects in ``func``, with the exception of 2025-08-26T21:25:17.6045101Z in-place PyTorch operations. Examples of side-effects include mutating 2025-08-26T21:25:17.6045809Z Python data structures and assigning values to variables not captured 2025-08-26T21:25:17.6046338Z in ``func``. 2025-08-26T21:25:17.6046627Z 2025-08-26T21:25:17.6047053Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-08-26T21:25:17.6047763Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-08-26T21:25:17.6048445Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-08-26T21:25:17.6048953Z 2025-08-26T21:25:17.6049223Z >>> torch.dot # [D], [D] -> [] 2025-08-26T21:25:17.6049730Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-08-26T21:25:17.6050282Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-26T21:25:17.6050702Z >>> batched_dot(x, y) 2025-08-26T21:25:17.6051026Z 2025-08-26T21:25:17.6051442Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-08-26T21:25:17.6051997Z model authoring experience. 2025-08-26T21:25:17.6052459Z 2025-08-26T21:25:17.6052746Z >>> batch_size, feature_size = 3, 5 2025-08-26T21:25:17.6053227Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-26T21:25:17.6053685Z >>> 2025-08-26T21:25:17.6053967Z >>> def model(feature_vec): 2025-08-26T21:25:17.6054373Z >>> # Very simple linear model with activation 2025-08-26T21:25:17.6054830Z >>> return feature_vec.dot(weights).relu() 2025-08-26T21:25:17.6055227Z >>> 2025-08-26T21:25:17.6055571Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-26T21:25:17.6056048Z >>> result = torch.vmap(model)(examples) 2025-08-26T21:25:17.6056441Z 2025-08-26T21:25:17.6056884Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-08-26T21:25:17.6057619Z or impossible to batch. One example is higher-order gradient computation. 2025-08-26T21:25:17.6058427Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-08-26T21:25:17.6059140Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-08-26T21:25:17.6059865Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-08-26T21:25:17.6060698Z we can vectorize the whole computation, computing the Jacobian in a single 2025-08-26T21:25:17.6061255Z call to ``autograd.grad``. 2025-08-26T21:25:17.6061589Z 2025-08-26T21:25:17.6061835Z >>> # Setup 2025-08-26T21:25:17.6062112Z >>> N = 5 2025-08-26T21:25:17.6062396Z >>> f = lambda x: x**2 2025-08-26T21:25:17.6062765Z >>> x = torch.randn(N, requires_grad=True) 2025-08-26T21:25:17.6063160Z >>> y = f(x) 2025-08-26T21:25:17.6063463Z >>> I_N = torch.eye(N) 2025-08-26T21:25:17.6063786Z >>> 2025-08-26T21:25:17.6064070Z >>> # Sequential approach 2025-08-26T21:25:17.6064582Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-08-26T21:25:17.6065139Z >>> for v in I_N.unbind()] 2025-08-26T21:25:17.6065574Z >>> jacobian = torch.stack(jacobian_rows) 2025-08-26T21:25:17.6065958Z >>> 2025-08-26T21:25:17.6066260Z >>> # vectorized gradient computation 2025-08-26T21:25:17.6066777Z >>> def get_vjp(v): 2025-08-26T21:25:17.6067146Z >>> return torch.autograd.grad(y, x, v) 2025-08-26T21:25:17.6067584Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-08-26T21:25:17.6067962Z 2025-08-26T21:25:17.6068553Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-08-26T21:25:17.6069127Z 2025-08-26T21:25:17.6069394Z >>> torch.dot # [D], [D] -> [] 2025-08-26T21:25:17.6069785Z >>> batched_dot = torch.vmap( 2025-08-26T21:25:17.6070169Z ... torch.vmap(torch.dot) 2025-08-26T21:25:17.6070571Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-08-26T21:25:17.6071035Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-08-26T21:25:17.6071508Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-08-26T21:25:17.6071897Z 2025-08-26T21:25:17.6072327Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-08-26T21:25:17.6072960Z the dimension that each inputs are batched along as 2025-08-26T21:25:17.6073393Z 2025-08-26T21:25:17.6073666Z >>> torch.dot # [N], [N] -> [] 2025-08-26T21:25:17.6074195Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-08-26T21:25:17.6074770Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-26T21:25:17.6075180Z >>> batched_dot( 2025-08-26T21:25:17.6075497Z ... x, y 2025-08-26T21:25:17.6075919Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-08-26T21:25:17.6076398Z 2025-08-26T21:25:17.6076867Z If there are multiple inputs each of which is batched along different dimensions, 2025-08-26T21:25:17.6077710Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-08-26T21:25:17.6078210Z 2025-08-26T21:25:17.6078468Z >>> torch.dot # [D], [D] -> [] 2025-08-26T21:25:17.6079010Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-08-26T21:25:17.6079604Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-26T21:25:17.6080007Z >>> batched_dot( 2025-08-26T21:25:17.6080317Z ... x, y 2025-08-26T21:25:17.6080735Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-08-26T21:25:17.6081222Z 2025-08-26T21:25:17.6081656Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-08-26T21:25:17.6082226Z matching the shape of the input: 2025-08-26T21:25:17.6082599Z 2025-08-26T21:25:17.6082909Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-08-26T21:25:17.6083488Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-26T21:25:17.6083908Z >>> input = {"x": x, "y": y} 2025-08-26T21:25:17.6084372Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-08-26T21:25:17.6084860Z >>> batched_dot(input) 2025-08-26T21:25:17.6085195Z 2025-08-26T21:25:17.6085790Z By default, the output is batched along the first dimension. However, it can be batched 2025-08-26T21:25:17.6086437Z along any dimension by using ``out_dims`` 2025-08-26T21:25:17.6086834Z 2025-08-26T21:25:17.6087096Z >>> f = lambda x: x**2 2025-08-26T21:25:17.6087450Z >>> x = torch.randn(2, 5) 2025-08-26T21:25:17.6087854Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-08-26T21:25:17.6088275Z >>> batched_pow(x) # [5, 2] 2025-08-26T21:25:17.6088621Z 2025-08-26T21:25:17.6089120Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-08-26T21:25:17.6089745Z accept kwargs 2025-08-26T21:25:17.6090034Z 2025-08-26T21:25:17.6090310Z >>> x = torch.randn([2, 5]) 2025-08-26T21:25:17.6090687Z >>> def fn(x, scale=4.): 2025-08-26T21:25:17.6091043Z >>> return x * scale 2025-08-26T21:25:17.6091368Z >>> 2025-08-26T21:25:17.6091667Z >>> batched_pow = torch.vmap(fn) 2025-08-26T21:25:17.6092253Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-08-26T21:25:17.6092846Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-08-26T21:25:17.6093367Z 2025-08-26T21:25:17.6093627Z .. note:: 2025-08-26T21:25:17.6094069Z vmap does not provide general autobatching or handle variable-length 2025-08-26T21:25:17.6094617Z sequences out of the box. 2025-08-26T21:25:17.6094966Z 2025-08-26T21:25:17.6095742Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-08-26T21:25:17.6096616Z 2025-08-26T21:25:17.6096867Z _._ = None 2025-08-26T21:25:17.6097138Z ^ 2025-08-26T21:25:17.6097413Z warnings.warn(msg) 2025-08-26T21:25:17.6097714Z 2025-08-26T21:25:17.6098092Z --- Parse Warning: 15 / 17 --- 2025-08-26T21:25:17.6099410Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-08-26T21:25:17.6100859Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.6101599Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-08-26T21:25:17.6102277Z input(s) specified by ``argnums``. This operator can be nested to 2025-08-26T21:25:17.6102813Z compute higher-order gradients. 2025-08-26T21:25:17.6103187Z 2025-08-26T21:25:17.6103429Z Args: 2025-08-26T21:25:17.6103860Z func (Callable): A Python function that takes one or more arguments. 2025-08-26T21:25:17.6104694Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-08-26T21:25:17.6105510Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-08-26T21:25:17.6106124Z ``(output, aux)``. 2025-08-26T21:25:17.6106719Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-08-26T21:25:17.6107459Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-08-26T21:25:17.6108202Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-08-26T21:25:17.6108828Z auxiliary objects: ``(output, aux)``. Default: False. 2025-08-26T21:25:17.6109278Z 2025-08-26T21:25:17.6109533Z Returns: 2025-08-26T21:25:17.6110058Z Function to compute gradients with respect to its inputs. By default, the output of 2025-08-26T21:25:17.6110961Z the function is the gradient tensor(s) with respect to the first argument. 2025-08-26T21:25:17.6111735Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-08-26T21:25:17.6112522Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-08-26T21:25:17.6113300Z respect to each ``argnums`` value is returned. 2025-08-26T21:25:17.6113719Z 2025-08-26T21:25:17.6113998Z Example of using ``grad``: 2025-08-26T21:25:17.6114354Z 2025-08-26T21:25:17.6114619Z >>> # xdoctest: +SKIP 2025-08-26T21:25:17.6114999Z >>> from torch.func import grad 2025-08-26T21:25:17.6115403Z >>> x = torch.randn([]) 2025-08-26T21:25:17.6115810Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-08-26T21:25:17.6116272Z >>> assert torch.allclose(cos_x, x.cos()) 2025-08-26T21:25:17.6116669Z >>> 2025-08-26T21:25:17.6116986Z >>> # Second-order gradients 2025-08-26T21:25:17.6117442Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-08-26T21:25:17.6117952Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-08-26T21:25:17.6118365Z 2025-08-26T21:25:17.6118815Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-08-26T21:25:17.6119508Z 2025-08-26T21:25:17.6119769Z >>> # xdoctest: +SKIP 2025-08-26T21:25:17.6120163Z >>> from torch.func import grad, vmap 2025-08-26T21:25:17.6120606Z >>> batch_size, feature_size = 3, 5 2025-08-26T21:25:17.6120994Z >>> 2025-08-26T21:25:17.6121305Z >>> def model(weights, feature_vec): 2025-08-26T21:25:17.6121756Z >>> # Very simple linear model with activation 2025-08-26T21:25:17.6122196Z >>> assert feature_vec.dim() == 1 2025-08-26T21:25:17.6122629Z >>> return feature_vec.dot(weights).relu() 2025-08-26T21:25:17.6123027Z >>> 2025-08-26T21:25:17.6123368Z >>> def compute_loss(weights, example, target): 2025-08-26T21:25:17.6123824Z >>> y = model(weights, example) 2025-08-26T21:25:17.6124277Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-08-26T21:25:17.6124690Z >>> 2025-08-26T21:25:17.6125079Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-26T21:25:17.6125628Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-26T21:25:17.6126100Z >>> targets = torch.randn(batch_size) 2025-08-26T21:25:17.6126544Z >>> inputs = (weights, examples, targets) 2025-08-26T21:25:17.6127130Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-08-26T21:25:17.6127693Z ... *inputs 2025-08-26T21:25:17.6128010Z ... ) 2025-08-26T21:25:17.6128285Z 2025-08-26T21:25:17.6128643Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-08-26T21:25:17.6129104Z 2025-08-26T21:25:17.6129489Z >>> # xdoctest: +SKIP 2025-08-26T21:25:17.6129870Z >>> from torch.func import grad 2025-08-26T21:25:17.6130287Z >>> def my_loss_func(y, y_pred): 2025-08-26T21:25:17.6130735Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-08-26T21:25:17.6131200Z >>> loss = loss_per_sample.mean() 2025-08-26T21:25:17.6131644Z >>> return loss, (y_pred, loss_per_sample) 2025-08-26T21:25:17.6132046Z >>> 2025-08-26T21:25:17.6132400Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-08-26T21:25:17.6132862Z >>> y_true = torch.rand(4) 2025-08-26T21:25:17.6133285Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-08-26T21:25:17.6133732Z >>> out = fn(y_true, y_preds) 2025-08-26T21:25:17.6134297Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-08-26T21:25:17.6134941Z 2025-08-26T21:25:17.6135190Z .. note:: 2025-08-26T21:25:17.6135577Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-08-26T21:25:17.6136023Z 2025-08-26T21:25:17.6136349Z Case 1: Using ``torch.no_grad`` inside a function: 2025-08-26T21:25:17.6136872Z 2025-08-26T21:25:17.6137137Z >>> # xdoctest: +SKIP 2025-08-26T21:25:17.6137500Z >>> def f(x): 2025-08-26T21:25:17.6137857Z >>> with torch.no_grad(): 2025-08-26T21:25:17.6138245Z >>> c = x ** 2 2025-08-26T21:25:17.6138610Z >>> return x - c 2025-08-26T21:25:17.6138945Z 2025-08-26T21:25:17.6139330Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-08-26T21:25:17.6139820Z 2025-08-26T21:25:17.6140182Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-08-26T21:25:17.6140655Z 2025-08-26T21:25:17.6140924Z >>> # xdoctest: +SKIP 2025-08-26T21:25:17.6141307Z >>> with torch.no_grad(): 2025-08-26T21:25:17.6141687Z >>> grad(f)(x) 2025-08-26T21:25:17.6142022Z 2025-08-26T21:25:17.6142433Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-08-26T21:25:17.6143232Z outer one. This is because ``grad`` is a "function transform": its result 2025-08-26T21:25:17.6143924Z should not depend on the result of a context manager outside of ``f``. 2025-08-26T21:25:17.6144437Z 2025-08-26T21:25:17.6144677Z 2025-08-26T21:25:17.6145474Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-08-26T21:25:17.6146342Z 2025-08-26T21:25:17.6146590Z _._ = None 2025-08-26T21:25:17.6146863Z ^ 2025-08-26T21:25:17.6147135Z warnings.warn(msg) 2025-08-26T21:25:17.6147453Z 2025-08-26T21:25:17.6147829Z --- Parse Warning: 16 / 17 --- 2025-08-26T21:25:17.6149627Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-08-26T21:25:17.6151487Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.6152041Z 2025-08-26T21:25:17.6152502Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-08-26T21:25:17.6153242Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-08-26T21:25:17.6153968Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-08-26T21:25:17.6154529Z input by the user. 2025-08-26T21:25:17.6155003Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-08-26T21:25:17.6155614Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-08-26T21:25:17.6156180Z 2025-08-26T21:25:17.6156434Z Note:: 2025-08-26T21:25:17.6156982Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-08-26T21:25:17.6157629Z 2025-08-26T21:25:17.6157877Z Args: 2025-08-26T21:25:17.6158152Z model (nn.Module): 2025-08-26T21:25:17.6158631Z The model whose layers will be sparsified. The layers that needs to be 2025-08-26T21:25:17.6159340Z sparsified should be added separately using the register_layer() function 2025-08-26T21:25:17.6159928Z aggregate_fn (Optional, Callable): 2025-08-26T21:25:17.6160515Z default aggregate_fn that is used if not specified while registering the layer. 2025-08-26T21:25:17.6161180Z specifies how inputs should be aggregated over time. 2025-08-26T21:25:17.6161876Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-08-26T21:25:17.6162599Z Example 2025-08-26T21:25:17.6163010Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-08-26T21:25:17.6163520Z reduce_fn (Optional, Callable): 2025-08-26T21:25:17.6164101Z default reduce_fn that is used if not specified while registering the layer. 2025-08-26T21:25:17.6164982Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-08-26T21:25:17.6165591Z calling agg_fn() on all inputs. 2025-08-26T21:25:17.6165997Z Example 2025-08-26T21:25:17.6166448Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-08-26T21:25:17.6166986Z mask_fn (Optional, Callable): 2025-08-26T21:25:17.6167638Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-08-26T21:25:17.6168479Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-08-26T21:25:17.6169070Z register_layer(). 2025-08-26T21:25:17.6169752Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-08-26T21:25:17.6170567Z arguments. 2025-08-26T21:25:17.6170936Z features (Optional, list): 2025-08-26T21:25:17.6171375Z default selected features to sparsify. 2025-08-26T21:25:17.6183993Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-08-26T21:25:17.6184639Z For example, 2025-08-26T21:25:17.6185201Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-08-26T21:25:17.6185815Z feature_dim (Optional, int): 2025-08-26T21:25:17.6186449Z default dimension of input features. Again, features along this dim will be chosen 2025-08-26T21:25:17.6187111Z for sparsification. 2025-08-26T21:25:17.6187529Z sparse_config (Dict): 2025-08-26T21:25:17.6188179Z Default configuration for the mask_fn. This config will be passed 2025-08-26T21:25:17.6188736Z with the mask_fn() 2025-08-26T21:25:17.6189104Z 2025-08-26T21:25:17.6189359Z Example: 2025-08-26T21:25:17.6189648Z >>> # xdoctest: +SKIP 2025-08-26T21:25:17.6190002Z >>> model = SomeModel() 2025-08-26T21:25:17.6190540Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-08-26T21:25:17.6191131Z >>> # Initialize aggregate_fn 2025-08-26T21:25:17.6191519Z >>> def agg_fn(x, y): 2025-08-26T21:25:17.6191866Z >>> return x + y 2025-08-26T21:25:17.6192191Z >>> 2025-08-26T21:25:17.6192476Z >>> # Initialize reduce_fn 2025-08-26T21:25:17.6192842Z >>> def reduce_fn(x): 2025-08-26T21:25:17.6193202Z >>> return torch.mean(x, dim=0) 2025-08-26T21:25:17.6193778Z >>> 2025-08-26T21:25:17.6194071Z >>> # Initialize mask_fn 2025-08-26T21:25:17.6194438Z >>> def mask_fn(data): 2025-08-26T21:25:17.6194835Z >>> return torch.eye(data.shape).to(data.device) 2025-08-26T21:25:17.6195267Z >>> 2025-08-26T21:25:17.6195514Z >>> 2025-08-26T21:25:17.6195812Z >>> act_sparsifier.register_layer( 2025-08-26T21:25:17.6196216Z ... model.some_layer, 2025-08-26T21:25:17.6196579Z ... aggregate_fn=agg_fn, 2025-08-26T21:25:17.6196950Z ... reduce_fn=reduce_fn, 2025-08-26T21:25:17.6197308Z ... mask_fn=mask_fn, 2025-08-26T21:25:17.6197634Z ... ) 2025-08-26T21:25:17.6197896Z >>> 2025-08-26T21:25:17.6198176Z >>> # start training process 2025-08-26T21:25:17.6198537Z >>> for _ in [...]: 2025-08-26T21:25:17.6198871Z >>> # epoch starts 2025-08-26T21:25:17.6199425Z >>> # model.forward(), compute_loss() and model.backwards() 2025-08-26T21:25:17.6199918Z >>> # epoch ends 2025-08-26T21:25:17.6200259Z >>> act_sparsifier.step() 2025-08-26T21:25:17.6200646Z >>> # end training process 2025-08-26T21:25:17.6201027Z >>> sparsifier.squash_mask() 2025-08-26T21:25:17.6201496Z 2025-08-26T21:25:17.6202255Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-08-26T21:25:17.6203099Z 2025-08-26T21:25:17.6203341Z _._ = None 2025-08-26T21:25:17.6203606Z ^ 2025-08-26T21:25:17.6203872Z warnings.warn(msg) 2025-08-26T21:25:17.6204175Z 2025-08-26T21:25:17.6204602Z --- Parse Warning: 17 / 17 --- 2025-08-26T21:25:17.6206088Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=424. 2025-08-26T21:25:17.6207697Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-26T21:25:17.6208362Z Register a parametrization to a tensor in a module. 2025-08-26T21:25:17.6208799Z 2025-08-26T21:25:17.6209285Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-08-26T21:25:17.6210248Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-08-26T21:25:17.6211066Z If the original tensor requires a gradient, the backward pass will differentiate 2025-08-26T21:25:17.6211900Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-08-26T21:25:17.6212500Z 2025-08-26T21:25:17.6213028Z The first time that a module registers a parametrization, this function will add an attribute 2025-08-26T21:25:17.6213856Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-08-26T21:25:17.6214412Z 2025-08-26T21:25:17.6214871Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-08-26T21:25:17.6215499Z ``module.parametrizations.weight``. 2025-08-26T21:25:17.6215896Z 2025-08-26T21:25:17.6216209Z The original tensor will be accessible under 2025-08-26T21:25:17.6216714Z ``module.parametrizations.weight.original``. 2025-08-26T21:25:17.6217138Z 2025-08-26T21:25:17.6217586Z Parametrizations may be concatenated by registering several parametrizations 2025-08-26T21:25:17.6218185Z on the same attribute. 2025-08-26T21:25:17.6218518Z 2025-08-26T21:25:17.6218945Z The training mode of a registered parametrization is updated on registration 2025-08-26T21:25:17.6219553Z to match the training mode of the host module 2025-08-26T21:25:17.6219959Z 2025-08-26T21:25:17.6220475Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-08-26T21:25:17.6221156Z using the context manager :func:`cached`. 2025-08-26T21:25:17.6221654Z 2025-08-26T21:25:17.6222093Z A :attr:`parametrization` may optionally implement a method with signature 2025-08-26T21:25:17.6222632Z 2025-08-26T21:25:17.6222909Z .. code-block:: python 2025-08-26T21:25:17.6223241Z 2025-08-26T21:25:17.6223643Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-08-26T21:25:17.6224155Z 2025-08-26T21:25:17.6224618Z This method is called on the unparametrized tensor when the first parametrization 2025-08-26T21:25:17.6225344Z is registered to compute the initial value of the original tensor. 2025-08-26T21:25:17.6226146Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-08-26T21:25:17.6226775Z 2025-08-26T21:25:17.6227301Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-08-26T21:25:17.6228485Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-08-26T21:25:17.6229110Z 2025-08-26T21:25:17.6229533Z It is possible for the first parametrization to depend on several inputs. 2025-08-26T21:25:17.6230264Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-08-26T21:25:17.6231130Z (see the example implementation of a ``RankOne`` parametrization below). 2025-08-26T21:25:17.6231670Z 2025-08-26T21:25:17.6232236Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-08-26T21:25:17.6232957Z with names ``original0``, ``original1``,... 2025-08-26T21:25:17.6233355Z 2025-08-26T21:25:17.6233600Z .. note:: 2025-08-26T21:25:17.6233870Z 2025-08-26T21:25:17.6234340Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-08-26T21:25:17.6235009Z once to perform a number of consistency checks. 2025-08-26T21:25:17.6235665Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-08-26T21:25:17.6236300Z and nothing will be called otherwise. 2025-08-26T21:25:17.6236694Z 2025-08-26T21:25:17.6237071Z .. note:: 2025-08-26T21:25:17.6237339Z 2025-08-26T21:25:17.6237741Z In most situations, ``right_inverse`` will be a function such that 2025-08-26T21:25:17.6238309Z ``forward(right_inverse(X)) == X`` (see 2025-08-26T21:25:17.6238965Z `right inverse `_). 2025-08-26T21:25:17.6239761Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-08-26T21:25:17.6240340Z to relax this. 2025-08-26T21:25:17.6240656Z 2025-08-26T21:25:17.6240913Z .. warning:: 2025-08-26T21:25:17.6241208Z 2025-08-26T21:25:17.6241701Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-08-26T21:25:17.6242510Z will register a number of new parameters. If such parametrization is registered 2025-08-26T21:25:17.6243319Z after the optimizer is created, these new parameters will need to be added manually 2025-08-26T21:25:17.6244050Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-08-26T21:25:17.6244536Z 2025-08-26T21:25:17.6244780Z Args: 2025-08-26T21:25:17.6245225Z module (nn.Module): module on which to register the parametrization 2025-08-26T21:25:17.6245911Z tensor_name (str): name of the parameter or buffer on which to register 2025-08-26T21:25:17.6246459Z the parametrization 2025-08-26T21:25:17.6246978Z parametrization (nn.Module): the parametrization to register 2025-08-26T21:25:17.6247486Z Keyword args: 2025-08-26T21:25:17.6247950Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-08-26T21:25:17.6248732Z may change the dtype and shape of the tensor. Default: `False` 2025-08-26T21:25:17.6249451Z Warning: the parametrization is not checked for consistency upon registration. 2025-08-26T21:25:17.6250075Z Enable this flag at your own risk. 2025-08-26T21:25:17.6250463Z 2025-08-26T21:25:17.6250701Z Raises: 2025-08-26T21:25:17.6251237Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-08-26T21:25:17.6251839Z 2025-08-26T21:25:17.6252085Z Examples: 2025-08-26T21:25:17.6252449Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-08-26T21:25:17.6252897Z >>> import torch 2025-08-26T21:25:17.6253245Z >>> import torch.nn as nn 2025-08-26T21:25:17.6253681Z >>> import torch.nn.utils.parametrize as P 2025-08-26T21:25:17.6254105Z >>> 2025-08-26T21:25:17.6254420Z >>> class Symmetric(nn.Module): 2025-08-26T21:25:17.6254933Z >>> def forward(self, X): 2025-08-26T21:25:17.6255428Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-08-26T21:25:17.6255905Z >>> 2025-08-26T21:25:17.6256207Z >>> def right_inverse(self, A): 2025-08-26T21:25:17.6256709Z >>> return A.triu() 2025-08-26T21:25:17.6257065Z >>> 2025-08-26T21:25:17.6257348Z >>> m = nn.Linear(5, 5) 2025-08-26T21:25:17.6257808Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-08-26T21:25:17.6258460Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-08-26T21:25:17.6259004Z True 2025-08-26T21:25:17.6259298Z >>> A = torch.rand(5, 5) 2025-08-26T21:25:17.6259683Z >>> A = A + A.T # A is now symmetric 2025-08-26T21:25:17.6260201Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-08-26T21:25:17.6260752Z >>> print(torch.allclose(m.weight, A)) 2025-08-26T21:25:17.6261152Z True 2025-08-26T21:25:17.6261423Z 2025-08-26T21:25:17.6261698Z >>> class RankOne(nn.Module): 2025-08-26T21:25:17.6262105Z >>> def forward(self, x, y): 2025-08-26T21:25:17.6262669Z >>> # Form a rank 1 matrix multiplying two vectors 2025-08-26T21:25:17.6263159Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-08-26T21:25:17.6263573Z >>> 2025-08-26T21:25:17.6263874Z >>> def right_inverse(self, Z): 2025-08-26T21:25:17.6264310Z >>> # Project Z onto the rank 1 matrices 2025-08-26T21:25:17.6264786Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-08-26T21:25:17.6265280Z >>> # Return rescaled singular vectors 2025-08-26T21:25:17.6265719Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-08-26T21:25:17.6266200Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-08-26T21:25:17.6266636Z >>> 2025-08-26T21:25:17.6266989Z >>> linear_rank_one = P.register_parametrization( 2025-08-26T21:25:17.6267470Z ... nn.Linear(4, 4), "weight", RankOne() 2025-08-26T21:25:17.6267871Z ... ) 2025-08-26T21:25:17.6268400Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-08-26T21:25:17.6268902Z 1 2025-08-26T21:25:17.6269168Z 2025-08-26T21:25:17.6269414Z 2025-08-26T21:25:17.6270213Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-08-26T21:25:17.6271097Z 2025-08-26T21:25:17.6271340Z _._ = None 2025-08-26T21:25:17.6271616Z ^ 2025-08-26T21:25:17.6271883Z warnings.warn(msg) 2025-08-26T21:25:17.6272194Z 2025-08-26T21:25:17.6272474Z  2025-08-26T21:25:17.6272838Z === Found 9 run-time warnings === 2025-08-26T21:25:17.6273353Z --- Runtime Warning: 1 / 9 --- 2025-08-26T21:25:17.6274156Z example = 2025-08-26T21:25:17.6275458Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py:282: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-08-26T21:25:17.6276188Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-08-26T21:25:17.6276615Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-08-26T21:25:17.6277035Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-08-26T21:25:17.6277381Z dispatch key: CPU 2025-08-26T21:25:17.6277779Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-08-26T21:25:17.6278567Z new kernel: registered at /dev/null:811 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:218.) 2025-08-26T21:25:17.6279122Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-08-26T21:25:17.6279361Z 2025-08-26T21:25:17.6279562Z --- Runtime Warning: 2 / 9 --- 2025-08-26T21:25:17.6279959Z example = 2025-08-26T21:25:17.6281098Z /opt/conda/envs/py_3.10/lib/python3.10/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:1971.) 2025-08-26T21:25:17.6282124Z return super().refine_names(names) 2025-08-26T21:25:17.6282330Z 2025-08-26T21:25:17.6282527Z --- Runtime Warning: 3 / 9 --- 2025-08-26T21:25:17.6282855Z example = 2025-08-26T21:25:17.6284165Z :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:53.) 2025-08-26T21:25:17.6285400Z 2025-08-26T21:25:17.6285592Z --- Runtime Warning: 4 / 9 --- 2025-08-26T21:25:17.6285899Z example = 2025-08-26T21:25:17.6287337Z /opt/conda/envs/py_3.10/lib/python3.10/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:178.) 2025-08-26T21:25:17.6288778Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-08-26T21:25:17.6289078Z 2025-08-26T21:25:17.6289272Z --- Runtime Warning: 5 / 9 --- 2025-08-26T21:25:17.6289629Z example = 2025-08-26T21:25:17.6290909Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:25:17.6292068Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-08-26T21:25:17.6292313Z 2025-08-26T21:25:17.6292569Z --- Runtime Warning: 6 / 9 --- 2025-08-26T21:25:17.6292919Z example = 2025-08-26T21:25:17.6293905Z /opt/conda/envs/py_3.10/lib/python3.10/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) 2025-08-26T21:25:17.6293984Z warnings.warn( 2025-08-26T21:25:17.6294039Z 2025-08-26T21:25:17.6294162Z --- Runtime Warning: 7 / 9 --- 2025-08-26T21:25:17.6294385Z example = 2025-08-26T21:25:17.6295159Z /opt/conda/envs/py_3.10/lib/python3.10/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) 2025-08-26T21:25:17.6295226Z warnings.warn( 2025-08-26T21:25:17.6295285Z 2025-08-26T21:25:17.6295403Z --- Runtime Warning: 8 / 9 --- 2025-08-26T21:25:17.6295593Z example = 2025-08-26T21:25:17.6296194Z /opt/conda/envs/py_3.10/lib/python3.10/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`. 2025-08-26T21:25:17.6296282Z WeightNorm.apply(module, name, dim) 2025-08-26T21:25:17.6296338Z 2025-08-26T21:25:17.6296462Z --- Runtime Warning: 9 / 9 --- 2025-08-26T21:25:17.6296672Z example = 2025-08-26T21:25:17.6297212Z /opt/conda/envs/py_3.10/lib/python3.10/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`. 2025-08-26T21:25:17.6297296Z WeightNorm.apply(module, name, dim) 2025-08-26T21:25:17.6297352Z 2025-08-26T21:25:17.6297553Z === 374 passed, 488 skipped, 26 warnings in 14.43 seconds === 2025-08-26T21:25:17.6297770Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-08-26 21:25:17.559940] 2025-08-26T21:25:20.0283837Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:25:20.0286366Z import pkg_resources 2025-08-26T21:25:20.0641306Z /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension.cpp -> /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension.cpp [skipped, no changes] 2025-08-26T21:25:20.0643560Z /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension_kernel.cu -> /var/lib/jenkins/pytorch/test/cpp_extensions/hip_extension_kernel.hip [ok] 2025-08-26T21:25:20.0647013Z /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension_kernel2.cu -> /var/lib/jenkins/pytorch/test/cpp_extensions/hip_extension_kernel2.hip [ok] 2025-08-26T21:25:20.0648819Z Successfully preprocessed all matching files. 2025-08-26T21:25:20.0649572Z Total number of unsupported CUDA function calls: 0 2025-08-26T21:25:20.0650006Z 2025-08-26T21:25:20.0650016Z 2025-08-26T21:25:20.0650251Z Total number of replaced kernel launches: 2 2025-08-26T21:25:20.0686645Z /var/lib/jenkins/pytorch/test/cpp_extensions/torch_library.cu -> /var/lib/jenkins/pytorch/test/cpp_extensions/torch_library.cu [skipped, no changes] 2025-08-26T21:25:20.0688409Z Successfully preprocessed all matching files. 2025-08-26T21:25:20.0689170Z Total number of unsupported CUDA function calls: 0 2025-08-26T21:25:20.0689635Z 2025-08-26T21:25:20.0689644Z 2025-08-26T21:25:20.0690422Z Total number of replaced kernel launches: 0 2025-08-26T21:25:20.0993131Z running install 2025-08-26T21:25:20.0996198Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:25:20.0997577Z !! 2025-08-26T21:25:20.0997784Z 2025-08-26T21:25:20.0998018Z ******************************************************************************** 2025-08-26T21:25:20.0998664Z Please avoid running ``setup.py`` directly. 2025-08-26T21:25:20.0999374Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:25:20.1000016Z standards-based tools. 2025-08-26T21:25:20.1000344Z 2025-08-26T21:25:20.1000736Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:25:20.1001545Z or your builds will no longer be supported. 2025-08-26T21:25:20.1001945Z 2025-08-26T21:25:20.1002821Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:25:20.1003730Z ******************************************************************************** 2025-08-26T21:25:20.1004138Z 2025-08-26T21:25:20.1004282Z !! 2025-08-26T21:25:20.1004667Z self.initialize_options() 2025-08-26T21:25:20.1094988Z running build 2025-08-26T21:25:20.1095467Z running build_py 2025-08-26T21:25:20.1156704Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension 2025-08-26T21:25:20.1158086Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension 2025-08-26T21:25:20.1162177Z running build_ext 2025-08-26T21:25:20.1175078Z building 'torch_test_cpp_extension.cpp' extension 2025-08-26T21:25:20.1175862Z creating build/temp.linux-x86_64-cpython-310 2025-08-26T21:25:20.1181024Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c extension.cpp -o build/temp.linux-x86_64-cpython-310/extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-26T21:25:42.7457038Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-08-26T21:25:42.7462403Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-08-26T21:25:42.7463871Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:9, 2025-08-26T21:25:42.7464611Z from extension.cpp:1: 2025-08-26T21:25:42.7466377Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-08-26T21:25:42.7467439Z extension.cpp:45:53: required from here 2025-08-26T21:25:42.7472279Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:2041:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-08-26T21:25:42.7473908Z 2041 | class class_ : public detail::generic_type { 2025-08-26T21:25:42.7474359Z | ^~~~~~ 2025-08-26T21:25:42.7476416Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-08-26T21:25:42.7478127Z extension.cpp:45:53: required from here 2025-08-26T21:25:42.7481529Z /opt/conda/envs/py_3.10/lib/python3.10/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] 2025-08-26T21:25:42.7483709Z 2139 | with_internals([&](internals &internals) { 2025-08-26T21:25:42.7484042Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:25:42.7484486Z 2140 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-08-26T21:25:42.7484969Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:25:42.7485482Z 2141 | : internals.registered_types_cpp; 2025-08-26T21:25:42.7485841Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:25:42.7486198Z 2142 | instances[std::type_index(typeid(type_alias))] 2025-08-26T21:25:42.7486659Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:25:42.7487005Z 2143 | = instances[std::type_index(typeid(type))]; 2025-08-26T21:25:42.7487330Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:25:42.7487607Z 2144 | }); 2025-08-26T21:25:42.7487826Z | ~ 2025-08-26T21:25:42.7500852Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:25:43.2016950Z building 'torch_test_cpp_extension.maia' extension 2025-08-26T21:25:43.2023243Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-310/maia_extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-26T21:26:05.5303760Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/maia_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/maia.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:26:05.9758259Z building 'torch_test_cpp_extension.rng' extension 2025-08-26T21:26:05.9766724Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-310/rng_extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-26T21:26:30.2641467Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:26:30.2643107Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:26:30.2644607Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:26:30.2646085Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:26:30.2647208Z from rng_extension.cpp:6: 2025-08-26T21:26:30.2649901Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1478: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:26:30.2651420Z 1478 | #pragma unroll 2025-08-26T21:26:30.2651930Z | 2025-08-26T21:26:30.2652798Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-08-26T21:26:30.2654432Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530, 2025-08-26T21:26:30.2655728Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:26:30.2656950Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:26:30.2658129Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:26:30.2659570Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:26:30.2660606Z from rng_extension.cpp:6: 2025-08-26T21:26:30.2662033Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:26:30.2663269Z 59 | #pragma unroll 2025-08-26T21:26:30.2663903Z | 2025-08-26T21:26:30.2665131Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:26:30.2666307Z 72 | #pragma unroll 2025-08-26T21:26:30.2666719Z | 2025-08-26T21:26:30.2668423Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:26:30.2669603Z 87 | #pragma unroll 2025-08-26T21:26:30.2669977Z | 2025-08-26T21:26:30.2670777Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531, 2025-08-26T21:26:30.2672134Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:26:30.2673392Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:26:30.2674671Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:26:30.2676082Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:26:30.2677303Z from rng_extension.cpp:6: 2025-08-26T21:26:30.2678992Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:26:30.2680400Z 160 | #pragma unroll 2025-08-26T21:26:30.2680842Z | 2025-08-26T21:26:30.2681694Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.2683173Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.2684391Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.2685561Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.2686676Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.2687920Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.2689291Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.2690758Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.2692067Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.2693450Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.2695010Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.2696264Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.2697089Z from rng_extension.cpp:1: 2025-08-26T21:26:30.2698744Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.2701144Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.2703761Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.2706811Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.2710179Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.2713283Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.2723538Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.2739981Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.2749256Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.2750708Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.2751329Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.2761621Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.2772013Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.2773937Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.2774596Z | ^~~~~~~~ 2025-08-26T21:26:30.2775577Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.2777248Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.2778601Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.2779853Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.2780997Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.2782256Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.2783819Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.2785685Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.2787404Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.2789304Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.2790806Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.2792198Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.2793469Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.2794312Z from rng_extension.cpp:1: 2025-08-26T21:26:30.2795641Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.2796964Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.2797606Z | ^~~~ 2025-08-26T21:26:30.2798852Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.2800401Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.2801733Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.2802914Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.2804021Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.2805281Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.2806808Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.2808358Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.2809694Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.2811085Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.2812514Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.2813770Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.2814757Z from rng_extension.cpp:1: 2025-08-26T21:26:30.2816253Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.2818776Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.2821502Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.2824285Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.2827706Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.2831033Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.2841801Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.2858093Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.2867680Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.2869272Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.2869923Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.2879782Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.2889855Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.2891912Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.2892592Z | ^~~~~~~~ 2025-08-26T21:26:30.2893590Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.2895379Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.2896822Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.2898133Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.2899368Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.2900720Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.2902422Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.2904223Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.2906048Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.2907764Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.2909379Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.2910784Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.2912196Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.2913087Z from rng_extension.cpp:1: 2025-08-26T21:26:30.2914353Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.2915493Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.2916036Z | ^~~~ 2025-08-26T21:26:30.2916918Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.2918205Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.2919418Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.2920754Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.2921900Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.2923150Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.2924669Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.2925989Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.2927298Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.2928685Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.2930142Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.2931401Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.2932381Z from rng_extension.cpp:1: 2025-08-26T21:26:30.2933869Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.2936216Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.2938942Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.2941737Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.2944712Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.2947929Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.2957452Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.2972543Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.2981650Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.2983304Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.2983939Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.2993402Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3002912Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3005005Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3005642Z | ^~~~~~~~ 2025-08-26T21:26:30.3006600Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3008233Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3009663Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3010984Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3012216Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3013726Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3015422Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3017235Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3019213Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3020992Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3022605Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3024107Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3025467Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3026373Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3027884Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3029176Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3029751Z | ^~~~ 2025-08-26T21:26:30.3030681Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3032067Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3033363Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3034640Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3035836Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3037179Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3038611Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3039943Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3041249Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3042646Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3044231Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3045505Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3046341Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3047928Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3050417Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3053357Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3056185Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.3059159Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.3062537Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.3071872Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.3087118Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.3096130Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.3097640Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.3098271Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.3107782Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3118210Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3120137Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3120778Z | ^~~~~~~~ 2025-08-26T21:26:30.3121718Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3123396Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3124732Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3125969Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3127217Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3128598Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3130181Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3131897Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3133612Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3135288Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3136796Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3138478Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3139847Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3140752Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3142100Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3143287Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3143858Z | ^~~~ 2025-08-26T21:26:30.3144782Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3146144Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3147602Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3148958Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3150157Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3151653Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3153125Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3154543Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3155948Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3157467Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3158910Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3160166Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3161152Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3162640Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3164976Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3167777Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3170694Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.3173687Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.3176906Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.3186901Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.3203103Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.3212856Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.3214347Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.3214984Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.3225029Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3235469Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3237540Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3238229Z | ^~~~~~~~ 2025-08-26T21:26:30.3239237Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3240841Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3242270Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3243765Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3245008Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3246345Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3248448Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3250186Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3251886Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3253556Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3255067Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3256477Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3257947Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3258842Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3260172Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3261359Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3261930Z | ^~~~ 2025-08-26T21:26:30.3262857Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3264247Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3265550Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3266819Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3268130Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3269460Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3270927Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3272335Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3273917Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3275414Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3276951Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3278130Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3278803Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3279996Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3282006Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3284063Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3286287Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.3288842Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.3291260Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.3298556Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.3311528Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.3318592Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.3319707Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.3320175Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.3327923Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3335943Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3337472Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3337983Z | ^~~~~~~~ 2025-08-26T21:26:30.3338762Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3339986Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3341061Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3342042Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3342968Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3343968Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3345222Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3346582Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3348126Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3349469Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3350677Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3351801Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3352829Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3353500Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3354506Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3355816Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3373189Z | ^~~~ 2025-08-26T21:26:30.3374074Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3375156Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3376355Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3377327Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3378248Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3379256Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3380387Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3381450Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3382633Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3383752Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3384904Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3385911Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3386584Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3387898Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3389916Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3392036Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3394138Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.3396394Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.3398945Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.3405993Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.3418054Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.3424927Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.3426097Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.3426599Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.3433909Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3441364Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3442913Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3443437Z | ^~~~~~~~ 2025-08-26T21:26:30.3444197Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3445550Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3446636Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3447824Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3449030Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3450037Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3451297Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3452664Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3454030Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3455388Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3456753Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3457881Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3458896Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3459574Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3460599Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3461508Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3461955Z | ^~~~ 2025-08-26T21:26:30.3462669Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3463711Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3464690Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3465638Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3466538Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3467546Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3468885Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3469978Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3471039Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3472162Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3473313Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3474322Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3474991Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3476327Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3478229Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3480406Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3482499Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.3484743Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.3487274Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.3494568Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.3506330Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.3513179Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.3514444Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.3514943Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.3521981Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3529942Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3531485Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3532003Z | ^~~~~~~~ 2025-08-26T21:26:30.3532769Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3534008Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3535089Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3536097Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3537028Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3538046Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3539312Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3540686Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3542187Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3543537Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3544758Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3545888Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3546922Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3547602Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3548843Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3549863Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3550377Z | ^~~~ 2025-08-26T21:26:30.3551219Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3551972Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3552506Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3553031Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3553527Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3554079Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3554694Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3555277Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3555943Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3556556Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3557195Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3557749Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3558119Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3558787Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3559815Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3560946Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3562100Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.3563400Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.3564726Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.3568906Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.3575343Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.3579058Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.3579687Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.3579953Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.3583817Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3587862Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3588788Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3589078Z | ^~~~~~~~ 2025-08-26T21:26:30.3589567Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3590249Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3590843Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3591473Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3591986Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3592551Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3593248Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3594013Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3594765Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3595686Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3596360Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3596987Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3597547Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3597927Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3598498Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3599007Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3599258Z | ^~~~ 2025-08-26T21:26:30.3599660Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3600245Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3600797Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3601336Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3601841Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3602479Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3603111Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3603699Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3604289Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3604907Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3605550Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3606115Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3606552Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3607232Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3608273Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3609468Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3610622Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.3611866Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.3613194Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.3617037Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.3623458Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.3627212Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.3627847Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.3628166Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.3632018Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3636213Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3637067Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3637366Z | ^~~~~~~~ 2025-08-26T21:26:30.3637809Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3638483Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3639091Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3639653Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3640171Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3640732Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3641432Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3642263Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3643026Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3643772Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3644455Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3645084Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3645655Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3646045Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3646676Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3647186Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3647442Z | ^~~~ 2025-08-26T21:26:30.3647898Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3648475Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3649014Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3649551Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3650053Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3650621Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3651234Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3651881Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3652468Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3653085Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3653724Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3654286Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3654666Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3655339Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3656375Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3657511Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3658660Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.3659951Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.3661282Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.3665117Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.3671631Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.3675393Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.3676017Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.3676281Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.3680183Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3684253Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3685104Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3685402Z | ^~~~~~~~ 2025-08-26T21:26:30.3685899Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3686574Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3687172Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3687791Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3688309Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3688877Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3689579Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3690339Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3691099Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3691906Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3692579Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3693208Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3693774Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3694156Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3694725Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3695222Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3695463Z | ^~~~ 2025-08-26T21:26:30.3695867Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3696439Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3696982Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3697510Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3698012Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3698632Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3699251Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3699844Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3700431Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3701053Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3701690Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3702324Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3702710Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3703367Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3704461Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3705582Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3706732Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.3707961Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.3709403Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.3713191Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.3719615Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.3723389Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.3724013Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.3724284Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.3728165Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3732271Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3733113Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3733399Z | ^~~~~~~~ 2025-08-26T21:26:30.3733824Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3734491Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3735085Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3735634Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3736142Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3736695Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3737387Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3738202Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3738955Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3739695Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3740357Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3740977Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3741535Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3741961Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3742518Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3743009Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3743308Z | ^~~~ 2025-08-26T21:26:30.3743700Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3744267Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3744803Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3745320Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3745824Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3746383Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3746990Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3747630Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3748265Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3748887Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3749525Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3750085Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3750458Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3751119Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3752151Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3753272Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3754428Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.3755733Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.3757057Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.3761087Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.3767873Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.3771775Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.3772389Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.3772647Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.3776737Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3781000Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3781842Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3782121Z | ^~~~~~~~ 2025-08-26T21:26:30.3782533Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3783263Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3783916Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3784454Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3784954Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3785503Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3786187Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3786992Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3787734Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3788514Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3789168Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3789783Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3790333Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3790702Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3791252Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3791739Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3791973Z | ^~~~ 2025-08-26T21:26:30.3792351Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3792907Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3793437Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3794026Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3794519Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3795074Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3795672Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3796249Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3796818Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3797490Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3798123Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3798678Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3799105Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3799758Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3800775Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3801893Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3803037Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.3804330Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.3805634Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.3809683Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.3816616Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.3820567Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.3821183Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.3821441Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.3825539Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3829916Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3830777Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3831065Z | ^~~~~~~~ 2025-08-26T21:26:30.3831483Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3832137Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3832726Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3833340Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3833848Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3834400Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3835085Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3835827Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3836569Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3837359Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3838021Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3838703Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3839257Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3839628Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3840175Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3840658Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3840894Z | ^~~~ 2025-08-26T21:26:30.3841283Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3841845Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3842378Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3842985Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3843474Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3844025Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3844627Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3845209Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3845781Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3846395Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3847029Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3847574Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3847937Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3848596Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3849681Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3850806Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3851962Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.3853178Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.3854551Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.3858614Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.3865583Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.3869548Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.3870164Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.3870498Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.3874677Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3879002Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3879840Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3880117Z | ^~~~~~~~ 2025-08-26T21:26:30.3880538Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3881191Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3881843Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3882386Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3882884Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3883430Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3884114Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3884861Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3885605Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3886339Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3886993Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3887607Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3888160Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3888527Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3889132Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3889624Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3889865Z | ^~~~ 2025-08-26T21:26:30.3890244Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3890804Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3891335Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3891850Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3892339Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3892947Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3893553Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3894229Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3894801Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3895412Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3896040Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3896591Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3896960Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3897610Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3898708Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3899822Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3900957Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.3902187Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.3903503Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.3907617Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.3914727Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.3918713Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.3919393Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.3919651Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.3923766Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3928103Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3928945Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3929229Z | ^~~~~~~~ 2025-08-26T21:26:30.3929642Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3930293Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3930873Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3931410Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3931968Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3932520Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3933204Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3934007Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3934752Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3935480Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3936146Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3936767Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3937322Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3937763Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3938329Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3938833Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3939080Z | ^~~~ 2025-08-26T21:26:30.3939475Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3940054Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3940604Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3941133Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3941636Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3942199Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3942812Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3943402Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3943992Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3944672Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3945313Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3945875Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3946239Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3946889Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3947924Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3949201Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3950351Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.3951660Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.3952979Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.3957027Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.3964025Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.3967959Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.3968579Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.3968848Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.3973023Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.3977364Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.3978266Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.3978549Z | ^~~~~~~~ 2025-08-26T21:26:30.3978965Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.3979638Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.3980232Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.3980773Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.3981290Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.3981854Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.3982549Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.3983299Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.3984053Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.3984843Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.3985508Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.3986127Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.3986698Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3987084Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3987645Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.3988209Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.3988545Z | ^~~~ 2025-08-26T21:26:30.3988946Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.3989520Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.3990134Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.3990656Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.3991160Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.3991708Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.3992314Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.3992905Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.3993486Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.3994176Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.3994821Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.3995385Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.3995763Z from rng_extension.cpp:1: 2025-08-26T21:26:30.3996429Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.3997469Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.3998605Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.3999770Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.4001005Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.4002407Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.4006536Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.4013477Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.4017445Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.4018063Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.4018329Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.4022502Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.4026785Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.4027624Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.4027965Z | ^~~~~~~~ 2025-08-26T21:26:30.4028452Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.4029112Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.4029774Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.4030320Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.4030831Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.4031381Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.4032078Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.4032831Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.4033579Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.4034383Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.4035048Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.4035657Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.4036215Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4036594Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4037145Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.4037634Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.4037878Z | ^~~~ 2025-08-26T21:26:30.4038261Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.4038824Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.4039355Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.4039868Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.4040363Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.4040985Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.4041597Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.4042185Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.4042764Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.4043378Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.4044004Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.4044623Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4044994Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4045647Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.4046731Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.4047859Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.4049013Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.4050241Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.4051629Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.4055692Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.4062698Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.4066603Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.4067276Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.4067538Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.4071720Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.4076075Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.4076914Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.4077201Z | ^~~~~~~~ 2025-08-26T21:26:30.4077615Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.4078274Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.4078859Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.4079403Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.4080033Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.4080594Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.4081285Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.4082096Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.4082842Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.4083571Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.4084232Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.4084848Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.4085399Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4085823Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4086367Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.4086854Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.4087089Z | ^~~~ 2025-08-26T21:26:30.4087468Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.4088031Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.4088575Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.4089093Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.4089593Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.4090145Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.4090757Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.4091340Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.4091927Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.4092598Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.4093230Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.4093792Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4094158Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4094807Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.4095836Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.4097012Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.4098170Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.4099459Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.4100777Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.4104849Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.4111943Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.4115862Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.4116474Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.4116731Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.4120918Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.4125335Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.4126176Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.4126453Z | ^~~~~~~~ 2025-08-26T21:26:30.4126864Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.4127525Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.4128114Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.4128653Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.4129163Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.4129718Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.4130408Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.4131157Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.4131969Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.4132703Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.4133369Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.4133982Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.4134532Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4134898Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4135441Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.4136091Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.4136393Z | ^~~~ 2025-08-26T21:26:30.4137005Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.4137671Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.4138379Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.4139022Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.4139609Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.4140248Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.4140987Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.4141673Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.4142354Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.4143154Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.4143922Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.4151654Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4152057Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4152786Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.4153837Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.4155006Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.4156156Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.4157393Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.4158828Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.4162988Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.4169946Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.4173946Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.4174581Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.4174847Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.4179027Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.4183311Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.4184208Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.4184500Z | ^~~~~~~~ 2025-08-26T21:26:30.4184917Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.4185572Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.4186211Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.4186752Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.4187248Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.4187792Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.4188548Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.4189293Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.4190113Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.4190845Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.4191502Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.4192110Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.4192666Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4193038Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4193602Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.4194101Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.4194338Z | ^~~~ 2025-08-26T21:26:30.4194726Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.4195284Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.4195815Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.4196330Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.4196906Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.4197460Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.4198071Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.4198653Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.4199225Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.4199829Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.4200517Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.4201077Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4201439Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4202090Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.4203178Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.4204289Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.4205440Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.4206655Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.4208038Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.4211841Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.4218291Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.4221976Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.4222594Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.4222912Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.4226735Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.4230921Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.4231767Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.4232050Z | ^~~~~~~~ 2025-08-26T21:26:30.4232467Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.4233125Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.4233709Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.4234247Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.4234744Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.4235293Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.4236051Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.4236801Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.4237551Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.4238277Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.4238930Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.4239543Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.4240162Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4240542Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4241090Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.4241644Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.4241880Z | ^~~~ 2025-08-26T21:26:30.4242265Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.4242827Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.4243053Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.4243276Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.4243485Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.4243767Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.4244093Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.4244346Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.4244597Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.4244886Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.4245161Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.4245376Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4245461Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4245972Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.4246539Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.4247144Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.4247798Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.4248479Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.4249198Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.4252677Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.4256587Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.4257191Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.4257309Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.4257391Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.4261438Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.4262277Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.4262477Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.4262541Z | ^~~~~~~~ 2025-08-26T21:26:30.4262855Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.4263131Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.4263368Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.4263601Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.4263808Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.4264081Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.4264486Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.4264815Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.4265160Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.4265471Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.4265751Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.4266018Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.4266234Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4266316Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4266716Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.4266815Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.4266884Z | ^~~~ 2025-08-26T21:26:30.4267143Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.4267429Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.4267657Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.4267873Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.4268142Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.4268418Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.4268673Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.4268926Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.4269239Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.4269532Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.4269858Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.4270072Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4270155Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4270662Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.4271229Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.4271840Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.4272508Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.4273192Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.4273900Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.4277385Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.4281300Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.4281887Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.4282000Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.4282079Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.4286053Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.4286943Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.4287087Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.4287154Z | ^~~~~~~~ 2025-08-26T21:26:30.4287463Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.4287800Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.4288038Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.4288270Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.4288471Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.4288747Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.4289085Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.4289464Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.4289824Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.4290140Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.4290479Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.4290751Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.4290961Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4291045Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4291443Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.4291548Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.4291613Z | ^~~~ 2025-08-26T21:26:30.4291875Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.4292161Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.4292390Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.4292600Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.4292802Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.4293075Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.4293341Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.4293595Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.4293856Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.4294142Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.4294414Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.4294624Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4294706Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4295263Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.4295835Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.4296448Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.4297052Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.4297798Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.4298510Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.4301992Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.4305904Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.4306501Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.4306613Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.4306705Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.4310792Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.4311707Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.4311858Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.4311921Z | ^~~~~~~~ 2025-08-26T21:26:30.4312235Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.4312583Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.4312818Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.4313043Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.4313245Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.4313524Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.4313868Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.4314195Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.4314544Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.4314852Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.4315126Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.4315396Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.4315673Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4315756Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4316152Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.4316254Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.4316322Z | ^~~~ 2025-08-26T21:26:30.4316577Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.4316811Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.4317035Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.4317303Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.4317507Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.4317783Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.4318092Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.4318340Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.4318585Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.4318874Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.4319146Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.4319355Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4319488Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4319992Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.4320553Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.4321159Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.4321769Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.4322446Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.4323162Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.4326347Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.4330013Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.4330601Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.4330770Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.4330848Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.4334525Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.4335363Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.4335556Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.4335627Z | ^~~~~~~~ 2025-08-26T21:26:30.4335936Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.4336220Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.4336453Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.4336684Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.4336879Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.4337213Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.4337557Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.4337890Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.4338336Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.4338651Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.4338924Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.4339196Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.4339408Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4339493Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4339938Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.4340040Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.4340106Z | ^~~~ 2025-08-26T21:26:30.4340370Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:26:30.4340598Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:26:30.4340827Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:26:30.4341042Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:26:30.4341245Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:26:30.4341520Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:26:30.4341779Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:26:30.4342030Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:26:30.4342287Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:26:30.4342572Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:26:30.4342894Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:26:30.4343104Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4343193Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4343695Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:26:30.4344260Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:26:30.4344922Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:26:30.4345527Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:26:30.4346210Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:26:30.4346973Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:26:30.4350470Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:26:30.4354488Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:26:30.4355043Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:26:30.4355158Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:26:30.4355249Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:26:30.4359278Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:26:30.4360174Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:26:30.4360371Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:26:30.4360435Z | ^~~~~~~~ 2025-08-26T21:26:30.4360747Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:26:30.4361029Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:26:30.4361273Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:26:30.4361513Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:26:30.4361712Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:26:30.4361999Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:26:30.4362341Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:26:30.4362672Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:26:30.4363014Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:26:30.4363396Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:26:30.4363672Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:26:30.4363944Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:26:30.4364154Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:26:30.4364236Z from rng_extension.cpp:1: 2025-08-26T21:26:30.4364632Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:26:30.4364734Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:26:30.4364800Z | ^~~~ 2025-08-26T21:26:30.4366160Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/rng_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:26:30.7243158Z building 'torch_test_cpp_extension.cuda' extension 2025-08-26T21:26:30.7254220Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cuda_extension.cpp -o build/temp.linux-x86_64-cpython-310/cuda_extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -std=c++17 2025-08-26T21:26:51.7017400Z /opt/rocm/bin/hipcc -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c hip_extension_kernel.hip -o build/temp.linux-x86_64-cpython-310/hip_extension_kernel.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -DHIP_ENABLE_WARP_SYNC_BUILTINS=1 -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda --offload-arch=gfx90a --offload-arch=gfx942 -fno-gpu-rdc -std=c++17 2025-08-26T21:27:13.4415840Z /opt/rocm/bin/hipcc -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c hip_extension_kernel2.hip -o build/temp.linux-x86_64-cpython-310/hip_extension_kernel2.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -DHIP_ENABLE_WARP_SYNC_BUILTINS=1 -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda --offload-arch=gfx90a --offload-arch=gfx942 -fno-gpu-rdc -std=c++17 2025-08-26T21:27:34.9479922Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/cuda_extension.o build/temp.linux-x86_64-cpython-310/hip_extension_kernel.o build/temp.linux-x86_64-cpython-310/hip_extension_kernel2.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/opt/rocm/lib -L/opt/rocm/hip/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -lamdhip64 -lc10_hip -ltorch_hip -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:27:35.4246523Z building 'torch_test_cpp_extension.torch_library' extension 2025-08-26T21:27:35.4255241Z /opt/rocm/bin/hipcc -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c torch_library.cu -o build/temp.linux-x86_64-cpython-310/torch_library.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -DHIP_ENABLE_WARP_SYNC_BUILTINS=1 -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=torch_library --offload-arch=gfx90a --offload-arch=gfx942 -fno-gpu-rdc -std=c++17 2025-08-26T21:28:23.1648727Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/torch_library.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/opt/rocm/lib -L/opt/rocm/hip/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -lamdhip64 -lc10_hip -ltorch_hip -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:28:23.4765642Z running install_lib 2025-08-26T21:28:23.4872845Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages 2025-08-26T21:28:23.4880411Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:28:23.4882966Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/maia.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:28:23.5119411Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:28:23.5343788Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:28:23.5346835Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:28:23.5563241Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:28:23.5565989Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:28:23.5689720Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-310.pyc 2025-08-26T21:28:23.5691108Z running install_egg_info 2025-08-26T21:28:23.5834796Z running egg_info 2025-08-26T21:28:23.5889767Z creating torch_test_cpp_extension.egg-info 2025-08-26T21:28:23.5890555Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-26T21:28:23.5893182Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-26T21:28:23.5894689Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-26T21:28:23.5895990Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-26T21:28:23.5896945Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:28:23.5961518Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:28:23.5966914Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:28:23.5968575Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info 2025-08-26T21:28:23.5976139Z running install_scripts 2025-08-26T21:28:25.5920124Z running install 2025-08-26T21:28:25.5921569Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:28:25.5922894Z !! 2025-08-26T21:28:25.5923110Z 2025-08-26T21:28:25.5923939Z ******************************************************************************** 2025-08-26T21:28:25.5924623Z Please avoid running ``setup.py`` directly. 2025-08-26T21:28:25.5925332Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:28:25.5926000Z standards-based tools. 2025-08-26T21:28:25.5926575Z 2025-08-26T21:28:25.5927034Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:28:25.5927881Z or your builds will no longer be supported. 2025-08-26T21:28:25.5928297Z 2025-08-26T21:28:25.5928841Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:28:25.5929767Z ******************************************************************************** 2025-08-26T21:28:25.5930180Z 2025-08-26T21:28:25.5930329Z !! 2025-08-26T21:28:25.5930727Z self.initialize_options() 2025-08-26T21:28:25.6015710Z running build 2025-08-26T21:28:25.6016281Z running build_ext 2025-08-26T21:28:25.6418110Z building 'no_python_abi_suffix_test' extension 2025-08-26T21:28:25.6419388Z creating /var/lib/jenkins/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310 2025-08-26T21:28:25.7934946Z [1/1] c++ -MMD -MF /var/lib/jenkins/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/pytorch/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -std=c++17 2025-08-26T21:28:25.7972143Z creating build/lib.linux-x86_64-cpython-310 2025-08-26T21:28:25.7975731Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared /var/lib/jenkins/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so 2025-08-26T21:28:25.8945765Z running install_lib 2025-08-26T21:28:25.9061662Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages 2025-08-26T21:28:25.9068280Z copying build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages 2025-08-26T21:28:25.9075619Z running install_egg_info 2025-08-26T21:28:25.9340058Z running egg_info 2025-08-26T21:28:25.9445841Z creating no_python_abi_suffix_test.egg-info 2025-08-26T21:28:25.9446447Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2025-08-26T21:28:25.9452186Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2025-08-26T21:28:25.9456571Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2025-08-26T21:28:25.9458490Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T21:28:25.9569567Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T21:28:25.9584100Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T21:28:25.9591248Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/no_python_abi_suffix_test-0.0.0-py3.10.egg-info 2025-08-26T21:28:25.9598044Z running install_scripts 2025-08-26T21:28:27.7616580Z /var/lib/jenkins/pytorch/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.cu -> /var/lib/jenkins/pytorch/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.cu [skipped, no changes] 2025-08-26T21:28:27.7619972Z Successfully preprocessed all matching files. 2025-08-26T21:28:27.7620721Z Total number of unsupported CUDA function calls: 0 2025-08-26T21:28:27.7621161Z 2025-08-26T21:28:27.7621171Z 2025-08-26T21:28:27.7621415Z Total number of replaced kernel launches: 0 2025-08-26T21:28:27.7901639Z running bdist_wheel 2025-08-26T21:28:27.8516812Z running build 2025-08-26T21:28:27.8517298Z running build_ext 2025-08-26T21:28:27.8537737Z building 'python_agnostic._C' extension 2025-08-26T21:28:27.8539309Z creating /var/lib/jenkins/pytorch/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/python_agnostic/csrc 2025-08-26T21:28:41.8697840Z [1/1] /opt/rocm/bin/hipcc -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/pytorch/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.cu -o /var/lib/jenkins/pytorch/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/python_agnostic/csrc/ultra_norm.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -DHIP_ENABLE_WARP_SYNC_BUILTINS=1 -DTORCH_API_INCLUDE_EXTENSION_H -DPy_LIMITED_API=0x03090000 -DTORCH_EXTENSION_NAME=_C --offload-arch=gfx90a --offload-arch=gfx942 -fno-gpu-rdc -std=c++17 2025-08-26T21:28:41.8744576Z creating build/lib.linux-x86_64-cpython-310/python_agnostic 2025-08-26T21:28:41.8750373Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared /var/lib/jenkins/pytorch/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/python_agnostic/csrc/ultra_norm.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/opt/rocm/lib -L/opt/rocm/hip/lib -lc10 -ltorch -ltorch_cpu -lamdhip64 -lc10_hip -ltorch_hip -o build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so 2025-08-26T21:28:42.2616713Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:28:42.2618085Z !! 2025-08-26T21:28:42.2618307Z 2025-08-26T21:28:42.2618564Z ******************************************************************************** 2025-08-26T21:28:42.2619599Z Please avoid running ``setup.py`` directly. 2025-08-26T21:28:42.2620311Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:28:42.2620941Z standards-based tools. 2025-08-26T21:28:42.2621279Z 2025-08-26T21:28:42.2621673Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:28:42.2622475Z or your builds will no longer be supported. 2025-08-26T21:28:42.2622880Z 2025-08-26T21:28:42.2623430Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:28:42.2624317Z ******************************************************************************** 2025-08-26T21:28:42.2624720Z 2025-08-26T21:28:42.2624876Z !! 2025-08-26T21:28:42.2625273Z self.initialize_options() 2025-08-26T21:28:42.2715830Z installing to build/bdist.linux-x86_64/wheel 2025-08-26T21:28:42.2716505Z running install 2025-08-26T21:28:42.2784170Z running install_lib 2025-08-26T21:28:42.2887102Z creating build/bdist.linux-x86_64/wheel 2025-08-26T21:28:42.2890502Z creating build/bdist.linux-x86_64/wheel/python_agnostic 2025-08-26T21:28:42.2892989Z copying build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so -> build/bdist.linux-x86_64/wheel/./python_agnostic 2025-08-26T21:28:42.2896219Z running install_egg_info 2025-08-26T21:28:42.3002692Z running egg_info 2025-08-26T21:28:42.3101000Z creating python_agnostic.egg-info 2025-08-26T21:28:42.3101759Z writing python_agnostic.egg-info/PKG-INFO 2025-08-26T21:28:42.3105854Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt 2025-08-26T21:28:42.3109512Z writing top-level names to python_agnostic.egg-info/top_level.txt 2025-08-26T21:28:42.3111470Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-08-26T21:28:42.3216699Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-08-26T21:28:42.3229259Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-08-26T21:28:42.3234258Z Copying python_agnostic.egg-info to build/bdist.linux-x86_64/wheel/./python_agnostic-0.0-py3.10.egg-info 2025-08-26T21:28:42.3243524Z running install_scripts 2025-08-26T21:28:42.3341838Z creating build/bdist.linux-x86_64/wheel/python_agnostic-0.0.dist-info/WHEEL 2025-08-26T21:28:42.3344511Z creating 'dist/python_agnostic-0.0-cp39-abi3-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it 2025-08-26T21:28:42.3362727Z adding 'python_agnostic/_C.so' 2025-08-26T21:28:42.3365079Z adding 'python_agnostic-0.0.dist-info/METADATA' 2025-08-26T21:28:42.3365946Z adding 'python_agnostic-0.0.dist-info/WHEEL' 2025-08-26T21:28:42.3367303Z adding 'python_agnostic-0.0.dist-info/top_level.txt' 2025-08-26T21:28:42.3368154Z adding 'python_agnostic-0.0.dist-info/RECORD' 2025-08-26T21:28:42.3368923Z removing build/bdist.linux-x86_64/wheel 2025-08-26T21:28:44.1794006Z /var/lib/jenkins/pytorch/test/cpp_extensions/libtorch_agnostic_extension/libtorch_agnostic/csrc/kernel.cpp -> /var/lib/jenkins/pytorch/test/cpp_extensions/libtorch_agnostic_extension/libtorch_agnostic/csrc/kernel_hip.cpp [ok] 2025-08-26T21:28:44.1796212Z Successfully preprocessed all matching files. 2025-08-26T21:28:44.1796929Z Total number of unsupported CUDA function calls: 0 2025-08-26T21:28:44.1797389Z 2025-08-26T21:28:44.1797407Z 2025-08-26T21:28:44.1797632Z Total number of replaced kernel launches: 0 2025-08-26T21:28:44.2113693Z running install 2025-08-26T21:28:44.2115184Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:28:44.2116529Z !! 2025-08-26T21:28:44.2116751Z 2025-08-26T21:28:44.2116979Z ******************************************************************************** 2025-08-26T21:28:44.2117656Z Please avoid running ``setup.py`` directly. 2025-08-26T21:28:44.2118353Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:28:44.2119003Z standards-based tools. 2025-08-26T21:28:44.2119350Z 2025-08-26T21:28:44.2120234Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:28:44.2121084Z or your builds will no longer be supported. 2025-08-26T21:28:44.2121485Z 2025-08-26T21:28:44.2122032Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:28:44.2122930Z ******************************************************************************** 2025-08-26T21:28:44.2123328Z 2025-08-26T21:28:44.2123480Z !! 2025-08-26T21:28:44.2123845Z self.initialize_options() 2025-08-26T21:28:44.2209813Z running build 2025-08-26T21:28:44.2210344Z running build_py 2025-08-26T21:28:44.2274082Z creating build/lib.linux-x86_64-cpython-310/libtorch_agnostic 2025-08-26T21:28:44.2275193Z copying libtorch_agnostic/ops.py -> build/lib.linux-x86_64-cpython-310/libtorch_agnostic 2025-08-26T21:28:44.2276864Z copying libtorch_agnostic/__init__.py -> build/lib.linux-x86_64-cpython-310/libtorch_agnostic 2025-08-26T21:28:44.2282417Z running build_ext 2025-08-26T21:28:44.2689102Z building 'libtorch_agnostic._C' extension 2025-08-26T21:28:44.2692436Z creating /var/lib/jenkins/pytorch/test/cpp_extensions/libtorch_agnostic_extension/build/temp.linux-x86_64-cpython-310/libtorch_agnostic/csrc 2025-08-26T21:28:45.5266148Z [1/1] c++ -MMD -MF /var/lib/jenkins/pytorch/test/cpp_extensions/libtorch_agnostic_extension/build/temp.linux-x86_64-cpython-310/libtorch_agnostic/csrc/kernel_hip.o.d -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/pytorch/test/cpp_extensions/libtorch_agnostic_extension/libtorch_agnostic/csrc/kernel_hip.cpp -o /var/lib/jenkins/pytorch/test/cpp_extensions/libtorch_agnostic_extension/build/temp.linux-x86_64-cpython-310/libtorch_agnostic/csrc/kernel_hip.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -fdiagnostics-color=always -DLAE_USE_CUDA -DTORCH_API_INCLUDE_EXTENSION_H -DPy_LIMITED_API=0x03090000 -DTORCH_EXTENSION_NAME=_C -std=c++17 2025-08-26T21:28:45.5319071Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared /var/lib/jenkins/pytorch/test/cpp_extensions/libtorch_agnostic_extension/build/temp.linux-x86_64-cpython-310/libtorch_agnostic/csrc/kernel_hip.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/opt/rocm/lib -L/opt/rocm/hip/lib -lc10 -ltorch -ltorch_cpu -lamdhip64 -lc10_hip -ltorch_hip -o build/lib.linux-x86_64-cpython-310/libtorch_agnostic/_C.so 2025-08-26T21:28:45.8492495Z running install_lib 2025-08-26T21:28:45.8628759Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages 2025-08-26T21:28:45.8639150Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic 2025-08-26T21:28:45.8642462Z copying build/lib.linux-x86_64-cpython-310/libtorch_agnostic/ops.py -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic 2025-08-26T21:28:45.8645775Z copying build/lib.linux-x86_64-cpython-310/libtorch_agnostic/__init__.py -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic 2025-08-26T21:28:45.8649294Z copying build/lib.linux-x86_64-cpython-310/libtorch_agnostic/_C.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic 2025-08-26T21:28:45.8661069Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic/ops.py to ops.cpython-310.pyc 2025-08-26T21:28:45.8678732Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic/__init__.py to __init__.cpython-310.pyc 2025-08-26T21:28:45.8684234Z running install_egg_info 2025-08-26T21:28:45.9002556Z running egg_info 2025-08-26T21:28:45.9133941Z creating libtorch_agnostic.egg-info 2025-08-26T21:28:45.9136521Z writing libtorch_agnostic.egg-info/PKG-INFO 2025-08-26T21:28:45.9143205Z writing dependency_links to libtorch_agnostic.egg-info/dependency_links.txt 2025-08-26T21:28:45.9147964Z writing requirements to libtorch_agnostic.egg-info/requires.txt 2025-08-26T21:28:45.9149411Z writing top-level names to libtorch_agnostic.egg-info/top_level.txt 2025-08-26T21:28:45.9151963Z writing manifest file 'libtorch_agnostic.egg-info/SOURCES.txt' 2025-08-26T21:28:45.9271955Z reading manifest file 'libtorch_agnostic.egg-info/SOURCES.txt' 2025-08-26T21:28:45.9283803Z writing manifest file 'libtorch_agnostic.egg-info/SOURCES.txt' 2025-08-26T21:28:45.9287761Z Copying libtorch_agnostic.egg-info to ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic-0.0-py3.10.egg-info 2025-08-26T21:28:45.9301875Z running install_scripts 2025-08-26T21:28:46.2879673Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:28:46.2882700Z Executing ['/opt/conda/envs/py_3.10/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 21:28:46.288019] 2025-08-26T21:28:50.1578362Z 2025-08-26T21:28:50.1579339Z 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_a15f33ac04fa44c6_.log 2025-08-26T21:28:50.1586205Z 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 2025-08-26T21:28:50.1592715Z 2025-08-26T21:28:50.1592868Z Running test_autocast 1/1 ... [2025-08-26 21:28:50.158551] 2025-08-26T21:28:50.1593226Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:28:50.1594212Z Executing ['/opt/conda/envs/py_3.10/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 21:28:50.159084] 2025-08-26T21:28:55.7870825Z 2025-08-26T21:28:55.7872620Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_bd20a279aca46e89_.log 2025-08-26T21:28:55.7884468Z 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 2025-08-26T21:28:55.7894133Z 2025-08-26T21:28:55.7894431Z Running test_dispatch 1/1 ... [2025-08-26 21:28:55.787344] 2025-08-26T21:28:55.7895053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:28:55.7896653Z Executing ['/opt/conda/envs/py_3.10/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 21:28:55.787885] 2025-08-26T21:29:33.1372789Z 2025-08-26T21:29:33.1373580Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_cac1e0393e8f67e1_.log 2025-08-26T21:29:33.1382394Z 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 2025-08-26T21:29:33.1390281Z 2025-08-26T21:29:33.1390524Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading 2025-08-26T21:29:33.1390962Z Uploading artifacts took 0.00 seconds 2025-08-26T21:29:33.1391332Z Running test_autograd_fallback 1/1 ... [2025-08-26 21:29:33.137118] 2025-08-26T21:29:33.1391721Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:29:33.1392766Z Executing ['/opt/conda/envs/py_3.10/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 21:29:33.137441] 2025-08-26T21:29:36.6608748Z 2025-08-26T21:29:36.6610137Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_3bc1ba0f947c2e13_.log 2025-08-26T21:29:36.6631730Z 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 2025-08-26T21:29:36.6650228Z 2025-08-26T21:29:36.6650643Z Running distributions/test_distributions 1/1 ... [2025-08-26 21:29:36.661052] 2025-08-26T21:29:36.6651494Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:29:36.6653731Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'distributions/test_distributions.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 21:29:36.661602] 2025-08-26T21:30:32.3848538Z 2025-08-26T21:30:32.3851038Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_922bb10a89ed6a0f_.log 2025-08-26T21:30:32.3950860Z Running 230 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_sample, test/distributions/test_distributions.py::TestDistributions::test_beta_shape, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow_gpu, test/distributions/test_distributions.py::TestDistributions::test_binomial, 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_half, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_vectorized_count, 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_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_sample, 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_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_expand, test/distributions/test_distributions.py::TestDistributions::test_distribution_subclass_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_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_gamma_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_shape, 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_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, 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_halfnormal_sample, 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_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_lkj_cholesky_log_prob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal, 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, 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_properties, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_sample, 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_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_1d_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_multinomial_2d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_sequential_draw, 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_sample, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial, 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_normal, test/distributions/test_distributions.py::TestDistributions::test_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_enumerate_support, 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_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_log_prob, 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_repr, test/distributions/test_distributions.py::TestDistributions::test_rounded_relaxed_bernoulli, 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_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_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_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_shape, 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_chi2, test/distributions/test_distributions.py::TestRsample::test_dirichlet_multivariate, 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::TestRsample::test_gamma, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_scalar_params, 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_beta_shape_tensor_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_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_tensor_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_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_geometric_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gumbel_shape_scalar_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_laplace_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_mean_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_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_normal_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_one_hot_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_pareto_shape_scalar_params, 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_vonmises_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_weibull_scale_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_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_entropy_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_edgecases, test/distributions/test_distributions.py::TestKL::test_kl_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_infinite, 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_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal, 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_shape, test/distributions/test_distributions.py::TestKL::test_kl_transformed, test/distributions/test_distributions.py::TestConstraints::test_params_constraints, 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_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_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_continuous_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob_with_logits, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_logits_initialization, 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_icdf, test/distributions/test_distributions.py::TestAgainstScipy::test_mean, test/distributions/test_distributions.py::TestAgainstScipy::test_variance_stddev, test/distributions/test_distributions.py::TestFunctors::test_cat_event_dim, 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::TestFunctors::test_stack_transform, test/distributions/test_distributions.py::TestValidation::test_invalid, 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_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_mean, test/distributions/test_distributions.py::TestJit::test_rsample, test/distributions/test_distributions.py::TestJit::test_sample, test/distributions/test_distributions.py::TestJit::test_variance 2025-08-26T21:30:32.4056396Z 2025-08-26T21:30:32.4056731Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-08-26 21:30:32.385613] 2025-08-26T21:30:32.4057194Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:30:32.4058624Z Executing ['/opt/conda/envs/py_3.10/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 21:30:32.386208] 2025-08-26T21:30:46.5805879Z 2025-08-26T21:30:46.5807262Z 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_f99a426fabe76856_.log 2025-08-26T21:30:46.5819899Z 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 2025-08-26T21:30:46.5834323Z 2025-08-26T21:30:46.5834654Z Running test_cuda_trace 1/1 ... [2025-08-26 21:30:46.581031] 2025-08-26T21:30:46.5835340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:30:46.5837379Z Executing ['/opt/conda/envs/py_3.10/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 21:30:46.581568] 2025-08-26T21:31:31.0906385Z 2025-08-26T21:31:31.0910475Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_e7cc199c67940038_.log 2025-08-26T21:31:31.0914339Z Running 12 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_all_trace_callbacks_called, test/test_cuda_trace.py::TestCudaTrace::test_device_synchronization_callback, test/test_cuda_trace.py::TestCudaTrace::test_event_creation_callback, test/test_cuda_trace.py::TestCudaTrace::test_event_deletion_callback, test/test_cuda_trace.py::TestCudaTrace::test_event_record_callback, test/test_cuda_trace.py::TestCudaTrace::test_event_synchronization_callback, test/test_cuda_trace.py::TestCudaTrace::test_event_wait_callback, test/test_cuda_trace.py::TestCudaTrace::test_memcpy_synchronization, test/test_cuda_trace.py::TestCudaTrace::test_memory_allocation_callback, test/test_cuda_trace.py::TestCudaTrace::test_memory_deallocation_callback, test/test_cuda_trace.py::TestCudaTrace::test_stream_creation_callback, test/test_cuda_trace.py::TestCudaTrace::test_stream_synchronization_callback 2025-08-26T21:31:31.0917579Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_all_trace_callbacks_called 2025-08-26T21:31:31.0918397Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_device_synchronization_callback 2025-08-26T21:31:31.0919044Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_creation_callback 2025-08-26T21:31:31.0919684Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_deletion_callback 2025-08-26T21:31:31.0920295Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_record_callback 2025-08-26T21:31:31.0920945Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_synchronization_callback 2025-08-26T21:31:31.0921594Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_wait_callback 2025-08-26T21:31:31.0922207Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_memcpy_synchronization 2025-08-26T21:31:31.0922970Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_memory_allocation_callback 2025-08-26T21:31:31.0923617Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_memory_deallocation_callback 2025-08-26T21:31:31.0924264Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_stream_creation_callback 2025-08-26T21:31:31.0924913Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_stream_synchronization_callback 2025-08-26T21:31:31.0925332Z 2025-08-26T21:31:31.0925501Z Running test_fake_tensor 1/1 ... [2025-08-26 21:31:31.090975] 2025-08-26T21:31:31.0925859Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:31:31.0926761Z Executing ['/opt/conda/envs/py_3.10/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 21:31:31.091300] 2025-08-26T21:31:43.1824775Z 2025-08-26T21:31:43.1826314Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_d18ae814a9b135bc_.log 2025-08-26T21:31:43.1907603Z Running 279 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::FakeTensorOpInfoTestCUDA::test_fake_NumpyCatCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpyCubeCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpyMulCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpyMulScalarCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpyNMSCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpyNonzeroCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpySortCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpySplitCopyCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpySplitCopyWithIntCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpyTakeCustomOp_cuda_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCUDA::test_fake_NumpyViewCopyCustomOp_cuda_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 2025-08-26T21:31:43.1978139Z 2025-08-26T21:31:43.1978305Z Running test_multiprocessing 1/1 ... [2025-08-26 21:31:43.183135] 2025-08-26T21:31:43.1978621Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:31:43.1979363Z Executing ['/opt/conda/envs/py_3.10/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 21:31:43.183426] 2025-08-26T21:32:47.3932952Z 2025-08-26T21:32:47.3937824Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_1421b1687fddc7c0_.log 2025-08-26T21:32:47.3962549Z 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 2025-08-26T21:32:47.3985064Z 2025-08-26T21:32:47.3985452Z Running test_multiprocessing_spawn 1/1 ... [2025-08-26 21:32:47.393332] 2025-08-26T21:32:47.3986242Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:32:47.3988191Z Executing ['/opt/conda/envs/py_3.10/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 21:32:47.393948] 2025-08-26T21:35:08.1728288Z 2025-08-26T21:35:08.1730054Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_e08fe80d705951c4_.log 2025-08-26T21:35:08.1749426Z 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 2025-08-26T21:35:08.1768419Z 2025-08-26T21:35:08.1768884Z Running test_python_dispatch 1/1 ... [2025-08-26 21:35:08.173006] 2025-08-26T21:35:08.1784531Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:35:08.1786351Z Executing ['/opt/conda/envs/py_3.10/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 21:35:08.173579] 2025-08-26T21:35:14.0524115Z 2025-08-26T21:35:14.0526100Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_6680453d8f4605f6_.log 2025-08-26T21:35:14.0575911Z 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::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_cat_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_conv2d_cuda, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_fft_fft2_cuda, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_mul_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_native_batch_norm_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_out_op_cuda, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_split_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_split_list_args_cuda_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCUDA::test_wrapper_subclass_aliasing_view_cuda_float32 2025-08-26T21:35:14.0637404Z 2025-08-26T21:35:14.0637750Z Running test_sort_and_select 1/1 ... [2025-08-26 21:35:14.052653] 2025-08-26T21:35:14.0638464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:35:14.0640199Z Executing ['/opt/conda/envs/py_3.10/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 21:35:14.053208] 2025-08-26T21:35:21.5354301Z 2025-08-26T21:35:21.5355318Z 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_62108108592b5cae_.log 2025-08-26T21:35:21.5387277Z Running 111 items in this shard: test/test_sort_and_select.py::TestSortAndSelectCUDA::test_complex_unsupported_cpu_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_devices_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_devices_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_devices_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_devices_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_devices_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_devices_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_devices_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_isin_different_dtypes_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_kthvalue_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_kthvalue_scalar_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_msort_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_1d_output_discontiguous_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_1d_parallel_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_1d_parallel_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_1d_parallel_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_1d_parallel_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_1d_parallel_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_discontiguous_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_discontiguous_slow_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_expanded_tensor_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_large_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_large_slice_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_overflow_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_overflow_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_overflow_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_overflow_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_overflow_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_restride_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_sort_stable_none_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_bool, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_against_numpy_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_bool, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_stable_sort_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_1d_output_discontiguous_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_4d_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_arguments_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_integral_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_integral_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_integral_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_integral_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_integral_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_lower_precision_cuda_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_lower_precision_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_noncontiguous_gpu_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_nonfinite_cuda_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_nonfinite_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_nonfinite_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_nonfinite_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_quantized_scalar_input_cuda, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_topk_zero_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_bool, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_consecutive_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_bool, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_float16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_float32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_float64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_int16, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_int32, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_int64, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_int8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_cuda_uint8, test/test_sort_and_select.py::TestSortAndSelectCUDA::test_unique_dim_cuda 2025-08-26T21:35:21.5418747Z 2025-08-26T21:35:21.5418923Z Running test_tensorexpr 1/1 ... [2025-08-26 21:35:21.535138] 2025-08-26T21:35:21.5419304Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:35:21.5420208Z Executing ['/opt/conda/envs/py_3.10/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 21:35:21.535431] 2025-08-26T21:36:07.0017939Z 2025-08-26T21:36:07.0022730Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_6c09528901cb2f6c_.log 2025-08-26T21:36:07.0055854Z 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 2025-08-26T21:36:07.0086750Z 2025-08-26T21:36:07.0087073Z Running test_autoload_disable 1/1 ... [2025-08-26 21:36:07.001881] 2025-08-26T21:36:09.4558330Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:36:09.4561030Z import pkg_resources 2025-08-26T21:36:09.4936971Z /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension.cpp -> /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension.cpp [skipped, no changes] 2025-08-26T21:36:09.4940136Z /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension_kernel.cu -> /var/lib/jenkins/pytorch/test/cpp_extensions/hip_extension_kernel.hip [skipped, already hipified] 2025-08-26T21:36:09.4943154Z /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension_kernel2.cu -> /var/lib/jenkins/pytorch/test/cpp_extensions/hip_extension_kernel2.hip [skipped, already hipified] 2025-08-26T21:36:09.4945212Z Successfully preprocessed all matching files. 2025-08-26T21:36:09.4945971Z Total number of unsupported CUDA function calls: 0 2025-08-26T21:36:09.4946446Z 2025-08-26T21:36:09.4946456Z 2025-08-26T21:36:09.4946673Z Total number of replaced kernel launches: 2 2025-08-26T21:36:09.4998866Z /var/lib/jenkins/pytorch/test/cpp_extensions/torch_library.cu -> /var/lib/jenkins/pytorch/test/cpp_extensions/torch_library.cu [skipped, no changes] 2025-08-26T21:36:09.5000603Z Successfully preprocessed all matching files. 2025-08-26T21:36:09.5001309Z Total number of unsupported CUDA function calls: 0 2025-08-26T21:36:09.5001723Z 2025-08-26T21:36:09.5001732Z 2025-08-26T21:36:09.5001967Z Total number of replaced kernel launches: 0 2025-08-26T21:36:09.5314931Z running install 2025-08-26T21:36:09.5316420Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:36:09.5317736Z !! 2025-08-26T21:36:09.5317938Z 2025-08-26T21:36:09.5318181Z ******************************************************************************** 2025-08-26T21:36:09.5318851Z Please avoid running ``setup.py`` directly. 2025-08-26T21:36:09.5319498Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:36:09.5320084Z standards-based tools. 2025-08-26T21:36:09.5320377Z 2025-08-26T21:36:09.5321023Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:36:09.5321783Z or your builds will no longer be supported. 2025-08-26T21:36:09.5322155Z 2025-08-26T21:36:09.5322638Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:36:09.5323500Z ******************************************************************************** 2025-08-26T21:36:09.5323887Z 2025-08-26T21:36:09.5324020Z !! 2025-08-26T21:36:09.5324371Z self.initialize_options() 2025-08-26T21:36:09.5416129Z running build 2025-08-26T21:36:09.5416609Z running build_py 2025-08-26T21:36:09.5481714Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension 2025-08-26T21:36:09.5483026Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension 2025-08-26T21:36:09.5484068Z running build_ext 2025-08-26T21:36:09.5498236Z building 'torch_test_cpp_extension.cpp' extension 2025-08-26T21:36:09.5499412Z creating build/temp.linux-x86_64-cpython-310 2025-08-26T21:36:09.5504557Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c extension.cpp -o build/temp.linux-x86_64-cpython-310/extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-26T21:36:09.7486304Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-08-26T21:36:09.7488117Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-08-26T21:36:09.7489475Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:9, 2025-08-26T21:36:09.7490304Z from extension.cpp:1: 2025-08-26T21:36:09.7492168Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-08-26T21:36:09.7493794Z extension.cpp:45:53: required from here 2025-08-26T21:36:09.7496201Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:2041:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-08-26T21:36:09.7498075Z 2041 | class class_ : public detail::generic_type { 2025-08-26T21:36:09.7498627Z | ^~~~~~ 2025-08-26T21:36:09.7501080Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-08-26T21:36:09.7503207Z extension.cpp:45:53: required from here 2025-08-26T21:36:09.7506735Z /opt/conda/envs/py_3.10/lib/python3.10/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] 2025-08-26T21:36:09.7509949Z 2139 | with_internals([&](internals &internals) { 2025-08-26T21:36:09.7510546Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:09.7511358Z 2140 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-08-26T21:36:09.7512432Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:09.7513132Z 2141 | : internals.registered_types_cpp; 2025-08-26T21:36:09.7513784Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:09.7514431Z 2142 | instances[std::type_index(typeid(type_alias))] 2025-08-26T21:36:09.7515048Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:09.7515650Z 2143 | = instances[std::type_index(typeid(type))]; 2025-08-26T21:36:09.7516298Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:09.7516832Z 2144 | }); 2025-08-26T21:36:09.7517250Z | ~ 2025-08-26T21:36:09.7520941Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:36:10.2045793Z building 'torch_test_cpp_extension.maia' extension 2025-08-26T21:36:10.2053378Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-310/maia_extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-26T21:36:10.4233752Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/maia_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/maia.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:36:10.8517199Z building 'torch_test_cpp_extension.rng' extension 2025-08-26T21:36:10.8524736Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-310/rng_extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-26T21:36:11.0295838Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:36:11.0296843Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:36:11.0297696Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:36:11.0298706Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:36:11.0302114Z from rng_extension.cpp:6: 2025-08-26T21:36:11.0304189Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1478: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:36:11.0305546Z 1478 | #pragma unroll 2025-08-26T21:36:11.0306012Z | 2025-08-26T21:36:11.0306965Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-08-26T21:36:11.0308686Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530, 2025-08-26T21:36:11.0310159Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:36:11.0311530Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:36:11.0313062Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:36:11.0314636Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:36:11.0315803Z from rng_extension.cpp:6: 2025-08-26T21:36:11.0317666Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:36:11.0318892Z 59 | #pragma unroll 2025-08-26T21:36:11.0319283Z | 2025-08-26T21:36:11.0320540Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:36:11.0321736Z 72 | #pragma unroll 2025-08-26T21:36:11.0322107Z | 2025-08-26T21:36:11.0323294Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:36:11.0324458Z 87 | #pragma unroll 2025-08-26T21:36:11.0324837Z | 2025-08-26T21:36:11.0325649Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531, 2025-08-26T21:36:11.0327002Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:36:11.0328422Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:36:11.0329598Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:36:11.0330953Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:36:11.0331965Z from rng_extension.cpp:6: 2025-08-26T21:36:11.0333390Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:36:11.0334595Z 160 | #pragma unroll 2025-08-26T21:36:11.0334966Z | 2025-08-26T21:36:11.0335732Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.0337018Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.0338218Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.0339380Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.0340498Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.0341750Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.0343290Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.0344619Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.0345925Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.0347290Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.0349440Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.0350718Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.0351548Z from rng_extension.cpp:1: 2025-08-26T21:36:11.0353383Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.0355780Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.0358565Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.0361207Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.0364146Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.0367469Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.0377096Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.0393096Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.0403003Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.0404464Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.0405070Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.0415056Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.0425872Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.0427827Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.0428575Z | ^~~~~~~~ 2025-08-26T21:36:11.0429531Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.0431065Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.0432413Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.0433644Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.0434804Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.0436062Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.0437809Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.0439541Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.0441264Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.0442934Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.0444455Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.0445861Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.0447283Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.0448139Z from rng_extension.cpp:1: 2025-08-26T21:36:11.0449407Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.0450672Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.0451216Z | ^~~~ 2025-08-26T21:36:11.0452095Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.0453382Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.0454598Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.0455787Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.0456913Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.0458172Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.0459725Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.0461056Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.0462376Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.0463782Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.0465230Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.0466514Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.0467353Z from rng_extension.cpp:1: 2025-08-26T21:36:11.0468954Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.0471311Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.0473879Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.0476670Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.0479493Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.0482526Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.0491818Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.0507401Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.0516486Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.0517902Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.0518498Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.0527889Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.0537708Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.0539639Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.0540416Z | ^~~~~~~~ 2025-08-26T21:36:11.0541365Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.0542877Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.0544217Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.0545452Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.0546645Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.0547992Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.0549957Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.0551783Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.0553598Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.0555388Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.0557019Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.0558425Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.0559687Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.0560536Z from rng_extension.cpp:1: 2025-08-26T21:36:11.0561795Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.0562919Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.0563449Z | ^~~~ 2025-08-26T21:36:11.0564323Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.0565613Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.0566980Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.0568160Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.0569297Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.0570536Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.0571908Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.0573225Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.0574673Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.0576078Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.0577514Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.0578960Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.0579789Z from rng_extension.cpp:1: 2025-08-26T21:36:11.0581271Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.0583604Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.0586170Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.0588877Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.0591925Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.0594943Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.0603720Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.0618430Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.0627023Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.0628604Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.0629233Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.0638501Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.0648038Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.0650097Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.0650774Z | ^~~~~~~~ 2025-08-26T21:36:11.0651779Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.0653369Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.0654788Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.0656145Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.0657543Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.0658890Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.0660587Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.0662395Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.0664213Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.0665983Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.0667750Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.0669391Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.0670913Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.0671812Z from rng_extension.cpp:1: 2025-08-26T21:36:11.0673153Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.0674346Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.0674919Z | ^~~~ 2025-08-26T21:36:11.0675847Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.0677242Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.0678463Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.0679650Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.0680930Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.0682179Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.0683554Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.0684875Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.0686196Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.0687703Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.0689228Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.0690587Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.0691483Z from rng_extension.cpp:1: 2025-08-26T21:36:11.0693080Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.0695576Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.0698495Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.0701315Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.0704304Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.0707530Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.0717029Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.0732657Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.0741504Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.0742909Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.0743503Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.0753031Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.0762608Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.0764692Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.0765339Z | ^~~~~~~~ 2025-08-26T21:36:11.0766282Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.0768153Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.0769634Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.0770963Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.0772200Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.0773531Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.0775399Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.0777207Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.0779031Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.0780817Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.0782428Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.0783936Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.0785289Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.0786189Z from rng_extension.cpp:1: 2025-08-26T21:36:11.0787533Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.0788822Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.0789401Z | ^~~~ 2025-08-26T21:36:11.0790341Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.0791963Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.0793265Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.0794526Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.0795734Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.0797082Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.0798483Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.0799806Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.0801259Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.0802677Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.0804124Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.0805527Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.0806352Z from rng_extension.cpp:1: 2025-08-26T21:36:11.0808215Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.0810779Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.0813529Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.0816498Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.0819493Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.0822714Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.0832693Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.0848933Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.0857980Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.0859488Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.0860136Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.0870116Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.0878854Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.0880397Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.0880924Z | ^~~~~~~~ 2025-08-26T21:36:11.0881694Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.0882910Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.0884100Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.0885103Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.0886039Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.0887192Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.0888554Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.0889923Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.0891410Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.0892760Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.0894090Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.0895223Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.0896264Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.0896956Z from rng_extension.cpp:1: 2025-08-26T21:36:11.0897981Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.0898899Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.0899347Z | ^~~~ 2025-08-26T21:36:11.0900055Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.0901093Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.0902194Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.0903144Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.0904048Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.0905067Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.0906185Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.0907261Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.0908402Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.0909535Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.0910699Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.0911723Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.0912402Z from rng_extension.cpp:1: 2025-08-26T21:36:11.0913764Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.0915668Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.0917744Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.0919842Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.0922200Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.0924627Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.0932420Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.0944941Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.0952086Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.0953350Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.0953849Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.0961377Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.0969580Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.0971128Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.0971646Z | ^~~~~~~~ 2025-08-26T21:36:11.0972426Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.0973637Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.0974857Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.0975848Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.0976762Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.0977775Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.0979046Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.0980411Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.0981795Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.0983141Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.0984354Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.0985482Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.0986502Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.0987184Z from rng_extension.cpp:1: 2025-08-26T21:36:11.0988392Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.0989296Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.0989740Z | ^~~~ 2025-08-26T21:36:11.0990443Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.0991472Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.0992455Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.0993410Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.0994429Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.0995459Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.0996579Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.0997762Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.0998827Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.0999954Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1001116Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1002146Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1002820Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1004034Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1006053Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1008452Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1010577Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1012831Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1015262Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1022281Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1034134Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1041004Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1042135Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1042614Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1050155Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1057601Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1059145Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1059669Z | ^~~~~~~~ 2025-08-26T21:36:11.1060548Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1061767Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1062857Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1063845Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1064775Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1065793Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1067170Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1068635Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1070009Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1071474Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1072702Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1073834Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1074865Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1075555Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1076569Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1077484Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1078053Z | ^~~~ 2025-08-26T21:36:11.1078756Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1079789Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1080769Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1081722Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1082637Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1083656Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1084761Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1085829Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1086993Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1088323Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1089530Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1090662Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1091353Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1092558Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1094445Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1096516Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1098745Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1101001Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1103515Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1110506Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1122293Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1129143Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1130278Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1130773Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1137924Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1145447Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1146997Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1147523Z | ^~~~~~~~ 2025-08-26T21:36:11.1148386Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1149594Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1150808Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1151801Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1152729Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1153740Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1155018Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1156393Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1157672Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1158413Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1159082Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1159712Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1160279Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1160731Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1161301Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1161811Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1162060Z | ^~~~ 2025-08-26T21:36:11.1162451Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1163023Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1163566Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1164094Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1164678Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1165250Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1165861Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1166535Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1167133Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1167765Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1168410Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1168980Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1169357Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1170025Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1171114Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1172242Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1173398Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1174635Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1175967Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1179811Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1186232Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1190044Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1190663Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1191006Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1194867Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1198910Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1199760Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1200127Z | ^~~~~~~~ 2025-08-26T21:36:11.1200558Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1201218Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1201813Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1202353Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1202870Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1203427Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1204194Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1204940Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1205753Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1206488Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1207173Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1207792Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1208361Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1208728Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1209279Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1209835Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1210077Z | ^~~~ 2025-08-26T21:36:11.1210472Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1211029Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1211565Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1212091Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1212591Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1213150Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1213768Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1214352Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1214931Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1215545Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1216186Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1216798Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1217166Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1217817Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1218838Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1219959Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1221167Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1222393Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1223780Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1227549Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1234045Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1237794Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1238414Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1238688Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1242603Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1246715Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1247572Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1247857Z | ^~~~~~~~ 2025-08-26T21:36:11.1248281Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1249020Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1249617Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1250164Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1250681Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1251238Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1251939Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1252688Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1253450Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1254191Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1254857Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1255474Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1256089Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1256464Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1257013Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1257510Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1257744Z | ^~~~ 2025-08-26T21:36:11.1258125Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1258693Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1259228Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1259803Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1260303Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1260851Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1274816Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1275540Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1276147Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1276783Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1277447Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1278019Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1278409Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1279288Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1280329Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1281434Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1282587Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1283813Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1285146Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1288995Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1295452Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1299225Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1299932Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1300199Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1304100Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1308292Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1309164Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1309455Z | ^~~~~~~~ 2025-08-26T21:36:11.1309880Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1310652Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1311249Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1311790Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1312302Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1312856Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1313552Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1314296Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1315127Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1315860Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1316525Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1317149Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1317713Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1318088Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1318655Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1319153Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1319395Z | ^~~~ 2025-08-26T21:36:11.1319790Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1320356Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1320893Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1321482Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1321985Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1322539Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1323153Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1323735Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1324312Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1324931Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1325619Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1326179Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1326547Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1327280Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1328325Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1329449Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1330605Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1331824Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1333212Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1336974Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1343422Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1347105Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1347796Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1348124Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1351979Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1356116Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1356971Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1357263Z | ^~~~~~~~ 2025-08-26T21:36:11.1357694Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1358365Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1358961Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1359506Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1360017Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1360638Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1361342Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1362099Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1362863Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1363612Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1364287Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1364979Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1365553Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1365932Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1366551Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1367047Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1367290Z | ^~~~ 2025-08-26T21:36:11.1367685Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1368254Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1368788Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1369320Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1369822Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1370435Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1371048Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1371633Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1372214Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1372831Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1373470Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1374031Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1374403Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1375058Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1376087Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1377215Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1378422Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1379653Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1381005Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1385076Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1391966Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1395896Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1396516Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1396787Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1400951Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1405183Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1406106Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1406396Z | ^~~~~~~~ 2025-08-26T21:36:11.1406821Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1407489Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1408084Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1408634Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1409148Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1409701Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1410468Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1411214Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1411964Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1412696Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1413363Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1413983Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1414546Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1414914Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1415472Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1415969Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1416202Z | ^~~~ 2025-08-26T21:36:11.1416605Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1417233Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1417781Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1418310Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1418820Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1419384Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1420000Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1420591Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1421232Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1421860Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1422549Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1423110Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1423486Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1424148Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1425177Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1426312Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1427536Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1428827Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1430161Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1434311Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1441271Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1445246Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1445878Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1446152Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1450278Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1454656Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1455509Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1455802Z | ^~~~~~~~ 2025-08-26T21:36:11.1456225Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1456981Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1457583Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1458131Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1458652Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1459212Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1459911Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1460718Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1461479Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1462218Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1462949Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1463575Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1464142Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1464525Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1465082Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1465585Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1465850Z | ^~~~ 2025-08-26T21:36:11.1466234Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1466866Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1467427Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1467954Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1468536Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1469106Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1469725Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1470318Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1470909Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1471527Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1472167Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1472732Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1473106Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1473842Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1474892Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1476040Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1477207Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1478506Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1479843Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1484007Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1491003Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1494996Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1495629Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1495909Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1500106Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1504494Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1505378Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1505670Z | ^~~~~~~~ 2025-08-26T21:36:11.1506103Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1506855Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1507456Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1508063Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1508576Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1509137Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1509837Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1510596Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1511355Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1512097Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1512773Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1513409Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1514049Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1514431Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1514995Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1515496Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1515741Z | ^~~~ 2025-08-26T21:36:11.1516138Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1516715Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1517258Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1517861Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1518370Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1518932Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1519614Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1520209Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1520804Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1521431Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1522075Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1522642Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1523103Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1523776Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1524815Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1525943Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1527115Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1528356Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1529701Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1533865Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1540871Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1544926Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1545552Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1545825Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1550099Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1554453Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1555327Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1555621Z | ^~~~~~~~ 2025-08-26T21:36:11.1556054Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1556730Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1557329Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1557959Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1558481Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1559044Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1559819Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1560581Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1561340Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1562087Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1562762Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1563396Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1564033Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1564407Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1564965Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1565464Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1565711Z | ^~~~ 2025-08-26T21:36:11.1566113Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1566698Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1567248Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1567791Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1568297Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1568859Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1569478Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1570078Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1570729Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1571362Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1572017Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1572588Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1572974Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1573639Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1574740Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1575910Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1577141Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1578395Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1579753Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1583844Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1590962Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1594915Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1595541Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1595872Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1600019Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1604482Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1605332Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1605617Z | ^~~~~~~~ 2025-08-26T21:36:11.1606046Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1606722Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1607317Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1607874Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1608384Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1608940Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1609637Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1610454Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1611215Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1611957Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1612624Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1613246Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1613808Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1614183Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1614798Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1615291Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1615529Z | ^~~~ 2025-08-26T21:36:11.1615914Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1616545Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1617090Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1617614Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1618114Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1618678Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1619288Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1619875Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1620532Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1621161Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1621797Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1622360Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1622747Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1623404Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1624455Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1625603Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1626765Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1628138Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1629501Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1633658Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1640645Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1644645Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1645268Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1645538Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1649737Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1654115Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1654974Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1655268Z | ^~~~~~~~ 2025-08-26T21:36:11.1655689Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1656414Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1657008Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1657561Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1658076Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1658638Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1659339Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1660157Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1660912Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1661656Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1662328Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1662964Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1663531Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1663909Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1664475Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1664976Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1665218Z | ^~~~ 2025-08-26T21:36:11.1665610Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1666192Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1666741Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1667331Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1667831Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1668447Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1669063Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1669653Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1670240Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1670950Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1671600Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1672163Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1672612Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1673277Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1674308Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1675441Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1676594Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1677903Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1679232Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1683313Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1690346Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1694321Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1694941Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1695206Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1699340Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1703698Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1704565Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1704853Z | ^~~~~~~~ 2025-08-26T21:36:11.1705274Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1705940Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1706537Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1707138Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1707655Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1708278Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1708970Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1709724Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1710486Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1711300Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1711978Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1712666Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1713232Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1713605Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1714159Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1714654Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1714894Z | ^~~~ 2025-08-26T21:36:11.1715292Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1715860Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1716400Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1717006Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1717509Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1718062Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1718678Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1719271Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1719855Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1720473Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1721111Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1721674Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1722048Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1722705Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1723808Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1724944Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1726108Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1727333Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1728719Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1732811Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1739829Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1743759Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1744384Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1744724Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1749001Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1753373Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1754233Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1754518Z | ^~~~~~~~ 2025-08-26T21:36:11.1754944Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1755606Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1756200Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1756826Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1757334Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1757888Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1758581Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1759347Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1760109Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1760859Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1761531Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1762155Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1762717Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1763087Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1763712Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1764209Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1764440Z | ^~~~ 2025-08-26T21:36:11.1764830Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1765397Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1765938Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1766457Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1766952Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1767563Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1768179Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1768815Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1769394Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1770010Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1770643Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1771204Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1771573Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1772228Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1773327Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1774452Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1775598Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1776826Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1778142Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1782290Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1789337Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1793332Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1794021Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1794280Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1798413Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1802765Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1803611Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1803895Z | ^~~~~~~~ 2025-08-26T21:36:11.1804321Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1804982Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1805567Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1806114Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1806681Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1807247Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1807944Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1808751Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1809520Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1810265Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1810943Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1811581Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1812148Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1812606Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1813176Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1813678Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1813925Z | ^~~~ 2025-08-26T21:36:11.1814316Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1814895Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1815444Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1815972Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1816472Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1817036Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1817653Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1818249Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1818841Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1819522Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1820165Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1820732Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1821112Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1821780Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1822821Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1824017Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1825180Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1826477Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1827806Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1831652Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1838200Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1841910Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1842537Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1842808Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1846732Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1850864Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1851722Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1852077Z | ^~~~~~~~ 2025-08-26T21:36:11.1852506Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1853180Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1853779Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1854341Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1854866Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1855430Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1856130Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1856894Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1857657Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1858399Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1859075Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1859762Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1860337Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1860719Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1861275Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1861773Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1862010Z | ^~~~ 2025-08-26T21:36:11.1862285Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1862523Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1862819Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1863038Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1863250Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1863583Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1863850Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1864108Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1864372Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1864668Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1864944Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1865220Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1865305Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1865816Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1866384Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1867009Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1867612Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1868377Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1869100Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1872669Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1876567Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1877254Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1877367Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1877456Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1881491Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1882336Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1882488Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1882560Z | ^~~~~~~~ 2025-08-26T21:36:11.1882874Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1883161Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1883452Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1883692Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1883946Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1884236Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1884587Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1884927Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1885278Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1885595Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1885869Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1886205Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1886419Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1886509Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1886907Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1887014Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1887087Z | ^~~~ 2025-08-26T21:36:11.1887359Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1887596Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1887838Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1888053Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1888265Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1888542Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1888809Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1889116Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1889382Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1889678Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1889957Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1890171Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1890258Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1890815Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1891405Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1892028Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1892695Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1893388Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1894107Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1897611Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1901546Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1902152Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1902272Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1902365Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1906324Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1907282Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1907440Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1907510Z | ^~~~~~~~ 2025-08-26T21:36:11.1907839Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1908171Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1908423Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1908655Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1908866Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1909146Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1909570Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1909907Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1910261Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1910578Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1910856Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1911127Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1911423Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1911512Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1911920Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1912024Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1912162Z | ^~~~ 2025-08-26T21:36:11.1912426Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1912667Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1912895Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1913118Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1913332Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1913618Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1913874Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1914196Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1914454Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1914743Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1915025Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1915249Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1915337Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1915852Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1916436Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1917045Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1917706Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1918399Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1919124Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1922615Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1926564Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1927154Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1927278Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1927364Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1931393Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1932294Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1932452Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1932568Z | ^~~~~~~~ 2025-08-26T21:36:11.1932887Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1933164Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1933413Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1933645Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1933857Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1934137Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1934548Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1934885Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1935241Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1935556Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1935842Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1936114Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1936334Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1936424Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1936831Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1936932Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1937010Z | ^~~~ 2025-08-26T21:36:11.1937270Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1937511Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1937789Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1938013Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1938219Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1938499Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1938758Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1939021Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1939328Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1939630Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1939899Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1940170Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1940254Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1940767Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1941336Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1941959Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1942566Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1943333Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1944057Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1947282Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1951013Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1951629Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1951748Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1951832Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1955512Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1956424Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1956577Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1956648Z | ^~~~~~~~ 2025-08-26T21:36:11.1956961Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1957247Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1957482Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1957722Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1957989Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1958278Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1958633Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1958970Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1959321Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1959640Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1959971Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1960251Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1960516Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1960606Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1961002Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1961113Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1961182Z | ^~~~ 2025-08-26T21:36:11.1961449Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:11.1961692Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:11.1961935Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:11.1962153Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:11.1962423Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:11.1962700Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:11.1962968Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:11.1963221Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:11.1963491Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:11.1963782Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:11.1964058Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:11.1964273Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1964361Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1964871Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:11.1965442Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:11.1966115Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:11.1966717Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:11.1967416Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:11.1968125Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:11.1971653Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:11.1975595Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:11.1976196Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:11.1976312Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:11.1976400Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:11.1980482Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:11.1981374Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:11.1981530Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:11.1981596Z | ^~~~~~~~ 2025-08-26T21:36:11.1981917Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:11.1982205Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:11.1982446Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:11.1982674Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:11.1982962Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:11.1983240Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:11.1983593Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:11.1983935Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:11.1984291Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:11.1990409Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:11.1990771Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:11.1991072Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:11.1991301Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:11.1991389Z from rng_extension.cpp:1: 2025-08-26T21:36:11.1991842Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:11.1992073Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:11.1992155Z | ^~~~ 2025-08-26T21:36:11.1993478Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/rng_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:36:11.4927910Z building 'torch_test_cpp_extension.cuda' extension 2025-08-26T21:36:11.4936429Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cuda_extension.cpp -o build/temp.linux-x86_64-cpython-310/cuda_extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -std=c++17 2025-08-26T21:36:11.6711620Z /opt/rocm/bin/hipcc -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c hip_extension_kernel.hip -o build/temp.linux-x86_64-cpython-310/hip_extension_kernel.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -DHIP_ENABLE_WARP_SYNC_BUILTINS=1 -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda --offload-arch=gfx90a --offload-arch=gfx942 -fno-gpu-rdc -std=c++17 2025-08-26T21:36:11.7993670Z /opt/rocm/bin/hipcc -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c hip_extension_kernel2.hip -o build/temp.linux-x86_64-cpython-310/hip_extension_kernel2.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -DHIP_ENABLE_WARP_SYNC_BUILTINS=1 -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda --offload-arch=gfx90a --offload-arch=gfx942 -fno-gpu-rdc -std=c++17 2025-08-26T21:36:11.9274051Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/cuda_extension.o build/temp.linux-x86_64-cpython-310/hip_extension_kernel.o build/temp.linux-x86_64-cpython-310/hip_extension_kernel2.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/opt/rocm/lib -L/opt/rocm/hip/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -lamdhip64 -lc10_hip -ltorch_hip -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:36:12.4024989Z building 'torch_test_cpp_extension.torch_library' extension 2025-08-26T21:36:12.4029123Z /opt/rocm/bin/hipcc -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c torch_library.cu -o build/temp.linux-x86_64-cpython-310/torch_library.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -DHIP_ENABLE_WARP_SYNC_BUILTINS=1 -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=torch_library --offload-arch=gfx90a --offload-arch=gfx942 -fno-gpu-rdc -std=c++17 2025-08-26T21:36:12.5762343Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/torch_library.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/opt/rocm/lib -L/opt/rocm/hip/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -lamdhip64 -lc10_hip -ltorch_hip -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:36:12.8906059Z running install_lib 2025-08-26T21:36:12.9026876Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/maia.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:36:12.9308856Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:36:12.9578974Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:36:12.9782723Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:36:12.9786944Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:36:12.9931188Z running install_egg_info 2025-08-26T21:36:13.0074544Z running egg_info 2025-08-26T21:36:13.0131920Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-26T21:36:13.0135882Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-26T21:36:13.0137003Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-26T21:36:13.0138515Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-26T21:36:13.0202529Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:36:13.0211068Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:36:13.0212687Z removing './install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info' (and everything under it) 2025-08-26T21:36:13.0217770Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info 2025-08-26T21:36:13.0223513Z running install_scripts 2025-08-26T21:36:15.9729681Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:36:15.9731824Z import pkg_resources 2025-08-26T21:36:16.0096095Z 2025-08-26T21:36:16.0096533Z Running tests... 2025-08-26T21:36:16.0097140Z ---------------------------------------------------------------------- 2025-08-26T21:36:16.2459948Z . 2025-08-26T21:36:16.2460632Z ---------------------------------------------------------------------- 2025-08-26T21:36:16.2461802Z Ran 1 test in 0.236s 2025-08-26T21:36:16.2462150Z 2025-08-26T21:36:16.2462342Z OK 2025-08-26T21:36:16.2462551Z 2025-08-26T21:36:16.2462740Z Generating XML reports... 2025-08-26T21:36:16.8570405Z Running test_autoload_enable 1/1 ... [2025-08-26 21:36:16.856552] 2025-08-26T21:36:19.3196268Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:36:19.3198835Z import pkg_resources 2025-08-26T21:36:19.3574707Z /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension.cpp -> /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension.cpp [skipped, no changes] 2025-08-26T21:36:19.3577865Z /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension_kernel.cu -> /var/lib/jenkins/pytorch/test/cpp_extensions/hip_extension_kernel.hip [skipped, already hipified] 2025-08-26T21:36:19.3580415Z /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension_kernel2.cu -> /var/lib/jenkins/pytorch/test/cpp_extensions/hip_extension_kernel2.hip [skipped, already hipified] 2025-08-26T21:36:19.3582685Z Successfully preprocessed all matching files. 2025-08-26T21:36:19.3583434Z Total number of unsupported CUDA function calls: 0 2025-08-26T21:36:19.3583881Z 2025-08-26T21:36:19.3583889Z 2025-08-26T21:36:19.3584116Z Total number of replaced kernel launches: 2 2025-08-26T21:36:19.3633615Z /var/lib/jenkins/pytorch/test/cpp_extensions/torch_library.cu -> /var/lib/jenkins/pytorch/test/cpp_extensions/torch_library.cu [skipped, no changes] 2025-08-26T21:36:19.3635357Z Successfully preprocessed all matching files. 2025-08-26T21:36:19.3636112Z Total number of unsupported CUDA function calls: 0 2025-08-26T21:36:19.3636567Z 2025-08-26T21:36:19.3636576Z 2025-08-26T21:36:19.3636825Z Total number of replaced kernel launches: 0 2025-08-26T21:36:19.3950563Z running install 2025-08-26T21:36:19.3952010Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:36:19.3953732Z !! 2025-08-26T21:36:19.3953945Z 2025-08-26T21:36:19.3954180Z ******************************************************************************** 2025-08-26T21:36:19.3954849Z Please avoid running ``setup.py`` directly. 2025-08-26T21:36:19.3955546Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:36:19.3956175Z standards-based tools. 2025-08-26T21:36:19.3956515Z 2025-08-26T21:36:19.3956911Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:36:19.3957728Z or your builds will no longer be supported. 2025-08-26T21:36:19.3958143Z 2025-08-26T21:36:19.3958684Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:36:19.3959586Z ******************************************************************************** 2025-08-26T21:36:19.3959994Z 2025-08-26T21:36:19.3960149Z !! 2025-08-26T21:36:19.3960526Z self.initialize_options() 2025-08-26T21:36:19.4049774Z running build 2025-08-26T21:36:19.4050345Z running build_py 2025-08-26T21:36:19.4113985Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension 2025-08-26T21:36:19.4115367Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension 2025-08-26T21:36:19.4124183Z running build_ext 2025-08-26T21:36:19.4138106Z building 'torch_test_cpp_extension.cpp' extension 2025-08-26T21:36:19.4138901Z creating build/temp.linux-x86_64-cpython-310 2025-08-26T21:36:19.4144120Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c extension.cpp -o build/temp.linux-x86_64-cpython-310/extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-26T21:36:19.6413140Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-08-26T21:36:19.6414745Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-08-26T21:36:19.6416107Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:9, 2025-08-26T21:36:19.6416956Z from extension.cpp:1: 2025-08-26T21:36:19.6422444Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-08-26T21:36:19.6423821Z extension.cpp:45:53: required from here 2025-08-26T21:36:19.6426072Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:2041:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-08-26T21:36:19.6428438Z 2041 | class class_ : public detail::generic_type { 2025-08-26T21:36:19.6429011Z | ^~~~~~ 2025-08-26T21:36:19.6431467Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-08-26T21:36:19.6433568Z extension.cpp:45:53: required from here 2025-08-26T21:36:19.6437058Z /opt/conda/envs/py_3.10/lib/python3.10/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] 2025-08-26T21:36:19.6440206Z 2139 | with_internals([&](internals &internals) { 2025-08-26T21:36:19.6440806Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:19.6441613Z 2140 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-08-26T21:36:19.6442492Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:19.6443177Z 2141 | : internals.registered_types_cpp; 2025-08-26T21:36:19.6443825Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:19.6444470Z 2142 | instances[std::type_index(typeid(type_alias))] 2025-08-26T21:36:19.6445089Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:19.6445713Z 2143 | = instances[std::type_index(typeid(type))]; 2025-08-26T21:36:19.6446309Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:19.6446803Z 2144 | }); 2025-08-26T21:36:19.6447199Z | ~ 2025-08-26T21:36:19.6456466Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:36:20.0849988Z building 'torch_test_cpp_extension.maia' extension 2025-08-26T21:36:20.0855955Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-310/maia_extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-26T21:36:20.2725075Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/maia_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/maia.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:36:20.7027283Z building 'torch_test_cpp_extension.rng' extension 2025-08-26T21:36:20.7033112Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-310/rng_extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-26T21:36:20.8957429Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:36:20.8959392Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:36:20.8960743Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:36:20.8962255Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:36:20.8963397Z from rng_extension.cpp:6: 2025-08-26T21:36:20.8965258Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1478: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:36:20.8966635Z 1478 | #pragma unroll 2025-08-26T21:36:20.8967067Z | 2025-08-26T21:36:20.8968007Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-08-26T21:36:20.8969598Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530, 2025-08-26T21:36:20.8971276Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:36:20.8972677Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:36:20.8973946Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:36:20.8975709Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:36:20.8976838Z from rng_extension.cpp:6: 2025-08-26T21:36:20.8978561Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:36:20.8980066Z 59 | #pragma unroll 2025-08-26T21:36:20.8980549Z | 2025-08-26T21:36:20.8982102Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:36:20.8983592Z 72 | #pragma unroll 2025-08-26T21:36:20.8984048Z | 2025-08-26T21:36:20.8985292Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:36:20.8986475Z 87 | #pragma unroll 2025-08-26T21:36:20.8986844Z | 2025-08-26T21:36:20.8987660Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531, 2025-08-26T21:36:20.8989454Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:36:20.8990696Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:36:20.8991892Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:36:20.8993429Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:36:20.8994451Z from rng_extension.cpp:6: 2025-08-26T21:36:20.8995900Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:36:20.8997097Z 160 | #pragma unroll 2025-08-26T21:36:20.8997476Z | 2025-08-26T21:36:20.8998253Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:20.8999564Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:20.9000778Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:20.9002110Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:20.9003223Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:20.9004480Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:20.9005857Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:20.9007167Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:20.9008485Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:20.9010167Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:20.9011889Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:20.9013256Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9014148Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9015850Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:20.9018411Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:20.9021228Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:20.9023892Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:20.9026678Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:20.9030044Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:20.9040218Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:20.9057874Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:20.9067471Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:20.9069121Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:20.9069799Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:20.9079694Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:20.9090606Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:20.9092646Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:20.9093299Z | ^~~~~~~~ 2025-08-26T21:36:20.9094254Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:20.9095784Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:20.9097136Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:20.9098547Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:20.9099755Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:20.9101102Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:20.9102792Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:20.9104619Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:20.9106460Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:20.9108554Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:20.9110447Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:20.9111963Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:20.9113320Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9114230Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9115598Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:20.9117049Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:20.9117640Z | ^~~~ 2025-08-26T21:36:20.9118587Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:20.9120196Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:20.9121730Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:20.9123217Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:20.9124601Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:20.9126003Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:20.9127398Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:20.9128720Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:20.9130215Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:20.9131700Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:20.9133231Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:20.9134584Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9135471Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9137085Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:20.9139592Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:20.9142519Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:20.9145316Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:20.9148413Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:20.9151640Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:20.9161439Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:20.9177628Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:20.9187225Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:20.9188833Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:20.9189479Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:20.9199552Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:20.9209245Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:20.9211303Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:20.9212154Z | ^~~~~~~~ 2025-08-26T21:36:20.9213181Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:20.9214800Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:20.9216231Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:20.9217550Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:20.9218779Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:20.9220131Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:20.9221963Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:20.9223796Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:20.9225779Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:20.9227562Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:20.9229271Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:20.9230774Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:20.9232136Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9233036Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9234371Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:20.9235752Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:20.9236336Z | ^~~~ 2025-08-26T21:36:20.9237281Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:20.9238659Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:20.9239950Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:20.9241133Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:20.9242255Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:20.9243503Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:20.9244901Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:20.9246236Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:20.9247554Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:20.9248963Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:20.9250410Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:20.9251823Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9252675Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9254165Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:20.9256527Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:20.9259144Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:20.9262116Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:20.9265113Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:20.9268612Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:20.9277864Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:20.9293605Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:20.9302598Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:20.9304116Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:20.9304911Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:20.9314393Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:20.9324208Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:20.9326158Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:20.9326794Z | ^~~~~~~~ 2025-08-26T21:36:20.9327738Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:20.9329285Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:20.9330733Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:20.9332044Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:20.9333267Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:20.9334613Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:20.9336452Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:20.9338273Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:20.9340101Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:20.9341869Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:20.9343468Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:20.9344988Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:20.9346492Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9347399Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9348835Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:20.9350273Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:20.9350845Z | ^~~~ 2025-08-26T21:36:20.9351780Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:20.9353152Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:20.9354445Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:20.9355721Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:20.9356931Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:20.9358267Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:20.9359922Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:20.9361276Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:20.9362596Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:20.9364006Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:20.9365469Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:20.9366726Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9367557Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9369060Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:20.9371611Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:20.9374352Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:20.9377325Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:20.9380328Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:20.9383576Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:20.9393204Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:20.9408506Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:20.9417378Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:20.9418813Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:20.9419404Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:20.9429062Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:20.9439156Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:20.9441190Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:20.9441835Z | ^~~~~~~~ 2025-08-26T21:36:20.9442787Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:20.9444477Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:20.9445820Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:20.9447057Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:20.9448214Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:20.9449533Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:20.9451520Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:20.9453345Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:20.9455332Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:20.9457118Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:20.9458735Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:20.9460246Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:20.9461601Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9462506Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9463847Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:20.9465050Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:20.9465623Z | ^~~~ 2025-08-26T21:36:20.9466565Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:20.9467955Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:20.9469339Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:20.9470802Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:20.9472015Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:20.9473356Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:20.9474854Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:20.9476271Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:20.9477677Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:20.9479169Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:20.9480882Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:20.9482245Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9483297Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9484892Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:20.9487405Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:20.9490324Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:20.9493294Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:20.9496278Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:20.9499677Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:20.9509522Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:20.9526287Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:20.9536157Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:20.9537659Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:20.9538295Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:20.9548256Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:20.9559084Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:20.9561165Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:20.9561852Z | ^~~~~~~~ 2025-08-26T21:36:20.9562867Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:20.9564478Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:20.9565945Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:20.9567278Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:20.9568671Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:20.9570194Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:20.9572068Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:20.9573888Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:20.9575725Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:20.9577508Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:20.9579279Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:20.9580783Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:20.9582288Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9583192Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9584530Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:20.9585733Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:20.9586312Z | ^~~~ 2025-08-26T21:36:20.9587242Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:20.9588754Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:20.9590068Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:20.9591323Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:20.9592706Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:20.9593879Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:20.9594998Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:20.9596071Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:20.9597144Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:20.9598273Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:20.9599436Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:20.9600471Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9601144Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9602339Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:20.9604234Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:20.9606410Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:20.9608519Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:20.9611071Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:20.9613673Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:20.9621014Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:20.9633604Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:20.9640809Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:20.9641933Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:20.9642411Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:20.9650047Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:20.9657813Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:20.9659486Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:20.9660005Z | ^~~~~~~~ 2025-08-26T21:36:20.9660762Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:20.9661979Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:20.9663059Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:20.9664051Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:20.9665083Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:20.9666096Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:20.9667365Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:20.9668873Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:20.9670258Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:20.9671606Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:20.9672831Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:20.9673968Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:20.9674983Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9675655Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9676665Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:20.9677569Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:20.9678012Z | ^~~~ 2025-08-26T21:36:20.9678857Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:20.9679905Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:20.9680903Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:20.9681852Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:20.9682749Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:20.9683748Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:20.9684985Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:20.9686063Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:20.9687137Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:20.9688377Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:20.9689544Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:20.9690554Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9691226Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9692426Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:20.9694313Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:20.9696511Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:20.9698609Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:20.9700856Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:20.9703282Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:20.9710497Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:20.9722322Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:20.9729151Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:20.9730294Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:20.9730779Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:20.9737816Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:20.9745382Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:20.9746928Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:20.9747448Z | ^~~~~~~~ 2025-08-26T21:36:20.9748314Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:20.9749533Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:20.9750772Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:20.9751771Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:20.9752712Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:20.9753724Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:20.9754991Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:20.9756359Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:20.9757851Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:20.9759212Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:20.9760561Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:20.9761699Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:20.9762718Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9763407Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9764436Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:20.9765344Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:20.9765788Z | ^~~~ 2025-08-26T21:36:20.9766506Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:20.9767548Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:20.9768657Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:20.9769612Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:20.9770517Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:20.9771524Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:20.9772634Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:20.9773708Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:20.9774767Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:20.9775899Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:20.9777053Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:20.9778074Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9778749Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9780054Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:20.9781947Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:20.9784017Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:20.9786118Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:20.9788585Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:20.9791032Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:20.9798093Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:20.9809906Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:20.9816631Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:20.9817762Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:20.9818247Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:20.9825466Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:20.9833131Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:20.9834681Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:20.9835198Z | ^~~~~~~~ 2025-08-26T21:36:20.9835965Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:20.9837186Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:20.9838250Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:20.9839247Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:20.9840327Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:20.9841337Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:20.9842608Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:20.9843982Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:20.9845362Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:20.9846711Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:20.9847939Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:20.9849073Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:20.9850104Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9850786Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9851796Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:20.9852823Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:20.9853265Z | ^~~~ 2025-08-26T21:36:20.9853974Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:20.9855014Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:20.9855996Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:20.9856938Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:20.9857842Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:20.9858844Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:20.9860075Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:20.9861155Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:20.9862335Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:20.9863459Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:20.9864613Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:20.9865630Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9866306Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9867493Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:20.9869485Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:20.9871724Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:20.9873826Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:20.9876084Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:20.9878498Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:20.9883317Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:20.9889767Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:20.9893528Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:20.9894156Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:20.9894431Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:20.9898265Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:20.9902402Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:20.9903248Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:20.9903530Z | ^~~~~~~~ 2025-08-26T21:36:20.9903952Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:20.9904703Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:20.9905305Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:20.9905868Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:20.9906387Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:20.9906949Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:20.9907649Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:20.9908551Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:20.9909317Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:20.9910066Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:20.9910802Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:20.9911425Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:20.9911984Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9912359Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9912923Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:20.9913425Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:20.9913670Z | ^~~~ 2025-08-26T21:36:20.9914060Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:20.9914706Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:20.9915249Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:20.9915770Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:20.9916267Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:20.9916823Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:20.9917435Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:20.9918024Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:20.9918615Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:20.9919225Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:20.9919870Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:20.9920433Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9920806Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9921532Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:20.9922574Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:20.9923704Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:20.9924861Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:20.9926156Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:20.9927475Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:20.9931321Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:20.9937775Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:20.9941479Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:20.9942097Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:20.9942426Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:20.9946319Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:20.9950531Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:20.9951380Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:20.9951661Z | ^~~~~~~~ 2025-08-26T21:36:20.9952083Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:20.9952753Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:20.9953344Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:20.9953986Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:20.9954501Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:20.9955057Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:20.9955749Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:20.9956500Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:20.9957253Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:20.9957985Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:20.9958655Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:20.9959271Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:20.9959826Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9960193Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9960738Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:20.9961291Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:20.9961531Z | ^~~~ 2025-08-26T21:36:20.9961916Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:20.9962490Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:20.9963024Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:20.9963548Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:20.9964040Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:20.9964672Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:20.9965288Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:20.9965868Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:20.9966513Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:20.9967132Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:20.9967770Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:20.9968322Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:20.9968698Z from rng_extension.cpp:1: 2025-08-26T21:36:20.9969359Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:20.9970390Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:20.9971631Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:20.9972782Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:20.9974017Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:20.9975347Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:20.9979191Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:20.9985633Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:20.9989449Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:20.9990082Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:20.9990342Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0004845Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0009078Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0009936Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0010238Z | ^~~~~~~~ 2025-08-26T21:36:21.0010685Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0011431Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0012048Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0012607Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0013115Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0013674Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0014370Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0015182Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0015934Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0016728Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0017387Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0018005Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0018559Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0018927Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0019480Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0019995Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0020237Z | ^~~~ 2025-08-26T21:36:21.0020630Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0021268Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0021805Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0022327Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0022817Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0023374Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0023983Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0024565Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0025144Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0025756Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0026385Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0026937Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0027309Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0028112Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0029166Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0030293Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0031439Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0032773Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0034100Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0037950Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0044386Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0048101Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0048811Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0049080Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0052973Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0057106Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0057959Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0058247Z | ^~~~~~~~ 2025-08-26T21:36:21.0058676Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0059342Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0059930Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0060550Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0061058Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0061606Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0062296Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0063051Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0063798Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0064532Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0065189Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0065805Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0066363Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0066734Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0067357Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0067856Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0068218Z | ^~~~ 2025-08-26T21:36:21.0068612Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0069179Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0069717Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0070243Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0070737Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0071373Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0071989Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0072636Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0073215Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0073823Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0074455Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0075022Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0075404Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0076075Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0077188Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0078319Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0079463Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0080722Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0082047Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0086146Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0092983Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0096887Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0097513Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0097846Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0101887Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0106123Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0107049Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0107337Z | ^~~~~~~~ 2025-08-26T21:36:21.0107753Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0108509Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0109097Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0109645Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0110148Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0110771Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0111467Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0112211Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0113019Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0113751Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0114408Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0115031Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0115579Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0115944Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0116502Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0117059Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0117293Z | ^~~~ 2025-08-26T21:36:21.0117677Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0118244Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0118779Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0119311Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0119815Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0120365Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0120976Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0121566Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0122145Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0122760Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0123465Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0124032Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0124410Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0125071Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0126100Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0127218Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0128420Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0129658Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0131052Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0135113Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0142105Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0146025Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0146645Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0146910Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0151160Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0155568Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0156493Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0156777Z | ^~~~~~~~ 2025-08-26T21:36:21.0157195Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0157858Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0158449Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0159001Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0159509Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0160068Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0160758Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0161503Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0162259Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0163060Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0163725Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0164339Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0164897Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0165267Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0165819Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0166316Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0166553Z | ^~~~ 2025-08-26T21:36:21.0166995Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0167570Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0168101Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0168679Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0169176Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0169740Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0170348Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0170934Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0171514Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0172128Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0172830Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0173389Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0173754Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0174409Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0175440Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0176559Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0177719Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0178941Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0180316Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0184436Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0191443Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0195425Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0196049Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0196328Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0200513Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0204803Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0205643Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0205923Z | ^~~~~~~~ 2025-08-26T21:36:21.0206416Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0207086Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0207674Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0208283Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0208789Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0209343Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0210031Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0210779Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0211521Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0212337Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0212998Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0213618Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0214173Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0214545Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0215097Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0215593Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0215839Z | ^~~~ 2025-08-26T21:36:21.0216226Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0216807Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0217341Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0217862Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0218357Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0218995Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0219610Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0220195Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0220778Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0221392Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0222026Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0222577Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0222999Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0223661Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0224689Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0225876Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0227022Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0228327Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0229649Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0233796Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0240789Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0244703Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0245328Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0245672Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0249815Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0254179Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0255029Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0255314Z | ^~~~~~~~ 2025-08-26T21:36:21.0255733Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0256406Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0256998Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0257541Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0258053Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0258674Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0259375Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0260135Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0260883Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0261616Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0262280Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0262953Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0263518Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0263889Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0264499Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0264996Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0265232Z | ^~~~ 2025-08-26T21:36:21.0265619Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0266186Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0266729Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0267253Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0267751Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0268431Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0269045Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0269633Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0270215Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0270832Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0271462Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0272015Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0272384Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0273032Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0274048Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0275170Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0276404Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0277643Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0278963Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0283094Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0290105Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0294092Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0294703Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0294962Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0299166Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0303457Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0304357Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0304636Z | ^~~~~~~~ 2025-08-26T21:36:21.0305052Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0305707Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0306290Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0306831Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0307330Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0307943Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0308698Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0309447Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0310193Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0310921Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0311583Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0312201Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0312751Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0313120Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0313668Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0314157Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0314391Z | ^~~~ 2025-08-26T21:36:21.0314848Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0315415Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0315947Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0316464Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0316953Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0317511Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0318111Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0318782Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0319374Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0319988Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0320685Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0321246Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0321617Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0322277Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0323333Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0324474Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0325720Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0326959Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0328305Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0332443Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0339413Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0343405Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0344032Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0344294Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0348476Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0352861Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0353719Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0354011Z | ^~~~~~~~ 2025-08-26T21:36:21.0354501Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0355172Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0355776Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0356335Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0356851Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0357410Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0358109Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0358937Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0359699Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0360507Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0361178Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0361802Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0362373Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0362744Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0363302Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0363792Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0364032Z | ^~~~ 2025-08-26T21:36:21.0364483Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0365058Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0365601Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0366125Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0366621Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0367182Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0367790Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0368378Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0368961Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0369577Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0370212Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0370777Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0371206Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0371873Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0372922Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0374062Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0375222Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0376524Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0377871Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0382015Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0389145Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0393115Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0393740Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0394002Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0398202Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0402581Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0403427Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0403784Z | ^~~~~~~~ 2025-08-26T21:36:21.0404208Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0404875Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0405472Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0406018Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0406532Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0407089Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0407785Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0408541Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0409292Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0410026Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0410693Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0411376Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0411936Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0412313Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0412864Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0413356Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0413594Z | ^~~~ 2025-08-26T21:36:21.0413977Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0414541Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0415145Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0415672Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0416166Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0416782Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0417390Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0417980Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0418560Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0419186Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0419816Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0420434Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0420806Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0421457Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0422490Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0423632Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0424784Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0426039Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0427383Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0431682Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0438630Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0442702Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0443319Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0443577Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0447768Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0452084Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0452940Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0453220Z | ^~~~~~~~ 2025-08-26T21:36:21.0453645Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0454314Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0454967Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0455518Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0456024Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0456633Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0457326Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0458080Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0458837Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0459573Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0460237Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0460928Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0461481Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0461849Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0462401Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0462890Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0463129Z | ^~~~ 2025-08-26T21:36:21.0463517Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0464084Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0464625Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0465142Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0465636Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0466189Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0466800Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0467440Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0468088Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0468711Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0469341Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0469894Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0470262Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0470984Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0472035Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0473174Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0474407Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0475648Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0476997Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0481083Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0488139Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0492177Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0492802Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0493065Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0497206Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0501620Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0502473Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0502760Z | ^~~~~~~~ 2025-08-26T21:36:21.0503184Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0503861Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0504467Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0505017Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0505528Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0506088Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0506786Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0507598Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0508419Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0509163Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0509837Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0510464Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0511023Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0511476Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0512037Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0512528Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0512836Z | ^~~~ 2025-08-26T21:36:21.0513232Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0513803Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0514342Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0514867Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0515376Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0515940Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0516558Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0517229Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0517814Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0518433Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0519074Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0519640Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0520013Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0520670Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0521717Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0522926Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0524110Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0525429Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0526786Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0530632Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0537107Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0540890Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0541511Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0541776Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0545681Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0549840Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0550695Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0551054Z | ^~~~~~~~ 2025-08-26T21:36:21.0551488Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0552161Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0552818Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0553365Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0553874Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0554431Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0555130Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0555886Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0556710Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0557459Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0558136Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0558760Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0559336Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0559717Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0560271Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0560767Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0561012Z | ^~~~ 2025-08-26T21:36:21.0561278Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0561520Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0561750Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0561972Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0562244Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0562533Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0562797Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0563060Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0563313Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0563609Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0563880Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0564148Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0564232Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0564741Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0565368Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0565987Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0566607Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0567302Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0568085Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0571585Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0575587Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0576195Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0576368Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0576450Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0580434Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0581335Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0581482Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0581555Z | ^~~~~~~~ 2025-08-26T21:36:21.0581871Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0582155Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0582397Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0582634Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0582904Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0583194Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0583595Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0583935Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0584283Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0584597Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0584875Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0585150Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0585417Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0585510Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0585911Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0586012Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0586080Z | ^~~~ 2025-08-26T21:36:21.0586350Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0586587Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0586824Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0587037Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0587254Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0587526Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0587789Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0588104Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0588366Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0588726Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0589006Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0589228Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0589310Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0589824Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0590396Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0591085Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0591712Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0592470Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0593186Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0596619Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0600616Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0601172Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0601282Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0601369Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0605395Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0606334Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0606479Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0606547Z | ^~~~~~~~ 2025-08-26T21:36:21.0606860Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0607145Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0607388Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0607625Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0607836Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0608119Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0608462Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0608796Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0609201Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0609524Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0609800Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0610079Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0610288Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0610371Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0610765Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0610921Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0610992Z | ^~~~ 2025-08-26T21:36:21.0611257Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0611488Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0611769Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0611983Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0612187Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0612456Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0612718Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0612969Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0613273Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0613563Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0613836Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0614044Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0614127Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0614634Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0615209Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0615826Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0616430Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0617126Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0617908Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0621427Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0625391Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0626000Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0626111Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0626199Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0630335Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0631185Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0631401Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0631472Z | ^~~~~~~~ 2025-08-26T21:36:21.0631792Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0632073Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0632378Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0632608Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0632812Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0633122Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0633469Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0633805Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0634217Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0634537Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0634813Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0635089Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0635309Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0635398Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0635797Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0635904Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0635971Z | ^~~~ 2025-08-26T21:36:21.0636236Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0636470Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0636704Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0636923Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0637185Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0637467Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0637736Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0637987Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0638241Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0638532Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0638853Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0639069Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0639156Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0639713Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0640287Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0640902Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0641517Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0642214Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0642995Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0646157Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0649866Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0650417Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0650527Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0650668Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0654354Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0655263Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0655418Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0655487Z | ^~~~~~~~ 2025-08-26T21:36:21.0655804Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0656090Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0656337Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0656563Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0656768Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0657047Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0657449Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0657787Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0658144Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0658457Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0658739Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0659009Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0659279Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0659362Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0659764Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0659912Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0659987Z | ^~~~ 2025-08-26T21:36:21.0660247Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:36:21.0660484Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:36:21.0660712Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:36:21.0660935Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:36:21.0661141Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:36:21.0661418Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:36:21.0661732Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:36:21.0661990Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:36:21.0662244Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:36:21.0662539Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:36:21.0662812Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:36:21.0663028Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0663108Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0663624Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:36:21.0664195Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:36:21.0664812Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:36:21.0665475Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:36:21.0666177Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:36:21.0666904Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:36:21.0670472Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:36:21.0674436Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:36:21.0675054Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:36:21.0675170Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:36:21.0675251Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:36:21.0679329Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:36:21.0680174Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:36:21.0680376Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:36:21.0680438Z | ^~~~~~~~ 2025-08-26T21:36:21.0680747Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:36:21.0681026Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:36:21.0681258Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:36:21.0681493Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:36:21.0681698Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:36:21.0681974Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:36:21.0682383Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:36:21.0682715Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:36:21.0683068Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:36:21.0683378Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:36:21.0683659Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:36:21.0683924Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:36:21.0684148Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:36:21.0684229Z from rng_extension.cpp:1: 2025-08-26T21:36:21.0684631Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:36:21.0684728Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:36:21.0684798Z | ^~~~ 2025-08-26T21:36:21.0686152Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/rng_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:36:21.3579569Z building 'torch_test_cpp_extension.cuda' extension 2025-08-26T21:36:21.3589442Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cuda_extension.cpp -o build/temp.linux-x86_64-cpython-310/cuda_extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -std=c++17 2025-08-26T21:36:21.5467558Z /opt/rocm/bin/hipcc -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c hip_extension_kernel.hip -o build/temp.linux-x86_64-cpython-310/hip_extension_kernel.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -DHIP_ENABLE_WARP_SYNC_BUILTINS=1 -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda --offload-arch=gfx90a --offload-arch=gfx942 -fno-gpu-rdc -std=c++17 2025-08-26T21:36:21.6946613Z /opt/rocm/bin/hipcc -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c hip_extension_kernel2.hip -o build/temp.linux-x86_64-cpython-310/hip_extension_kernel2.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -DHIP_ENABLE_WARP_SYNC_BUILTINS=1 -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda --offload-arch=gfx90a --offload-arch=gfx942 -fno-gpu-rdc -std=c++17 2025-08-26T21:36:21.8383504Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/cuda_extension.o build/temp.linux-x86_64-cpython-310/hip_extension_kernel.o build/temp.linux-x86_64-cpython-310/hip_extension_kernel2.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/opt/rocm/lib -L/opt/rocm/hip/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -lamdhip64 -lc10_hip -ltorch_hip -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:36:22.3214838Z building 'torch_test_cpp_extension.torch_library' extension 2025-08-26T21:36:22.3222622Z /opt/rocm/bin/hipcc -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c torch_library.cu -o build/temp.linux-x86_64-cpython-310/torch_library.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -DHIP_ENABLE_WARP_SYNC_BUILTINS=1 -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=torch_library --offload-arch=gfx90a --offload-arch=gfx942 -fno-gpu-rdc -std=c++17 2025-08-26T21:36:22.4745599Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared build/temp.linux-x86_64-cpython-310/torch_library.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/opt/rocm/lib -L/opt/rocm/hip/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -lamdhip64 -lc10_hip -ltorch_hip -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:36:22.7945807Z running install_lib 2025-08-26T21:36:22.8091718Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/maia.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:36:22.8466754Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:36:22.8774602Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:36:22.8981561Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:36:22.8986550Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:36:22.9130726Z running install_egg_info 2025-08-26T21:36:22.9271698Z running egg_info 2025-08-26T21:36:22.9328020Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-26T21:36:22.9332984Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-26T21:36:22.9334595Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-26T21:36:22.9336381Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-26T21:36:22.9398557Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:36:22.9406909Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:36:22.9408587Z removing './install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info' (and everything under it) 2025-08-26T21:36:22.9412013Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info 2025-08-26T21:36:22.9418041Z running install_scripts 2025-08-26T21:36:25.9002561Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:36:25.9005191Z import pkg_resources 2025-08-26T21:36:25.9360832Z 2025-08-26T21:36:25.9361194Z Running tests... 2025-08-26T21:36:25.9361813Z ---------------------------------------------------------------------- 2025-08-26T21:36:26.1727863Z . 2025-08-26T21:36:26.1728516Z ---------------------------------------------------------------------- 2025-08-26T21:36:26.1729216Z Ran 1 test in 0.237s 2025-08-26T21:36:26.1729514Z 2025-08-26T21:36:26.1729655Z OK 2025-08-26T21:36:26.1729857Z 2025-08-26T21:36:26.1730061Z Generating XML reports... 2025-08-26T21:36:26.7845895Z Running test_cpp_api_parity 1/1 ... [2025-08-26 21:36:26.784064] 2025-08-26T21:36:26.7847325Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:36:26.7852202Z Executing ['/opt/conda/envs/py_3.10/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 21:36:26.784698] 2025-08-26T21:37:27.1730059Z 2025-08-26T21:37:27.1735006Z 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_f45cb891812b0469_.log 2025-08-26T21:37:27.2029937Z 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, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_cuda, 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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 2025-08-26T21:37:27.2329775Z 2025-08-26T21:37:27.2330272Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-08-26 21:37:27.174753] 2025-08-26T21:37:29.6929361Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:37:29.6931950Z import pkg_resources 2025-08-26T21:37:29.7317277Z /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension.cpp -> /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension.cpp [skipped, no changes] 2025-08-26T21:37:29.7319818Z /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension_kernel.cu -> /var/lib/jenkins/pytorch/test/cpp_extensions/hip_extension_kernel.hip [skipped, already hipified] 2025-08-26T21:37:29.7322316Z /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension_kernel2.cu -> /var/lib/jenkins/pytorch/test/cpp_extensions/hip_extension_kernel2.hip [skipped, already hipified] 2025-08-26T21:37:29.7324383Z Successfully preprocessed all matching files. 2025-08-26T21:37:29.7325110Z Total number of unsupported CUDA function calls: 0 2025-08-26T21:37:29.7325569Z 2025-08-26T21:37:29.7325578Z 2025-08-26T21:37:29.7325805Z Total number of replaced kernel launches: 2 2025-08-26T21:37:29.7377799Z /var/lib/jenkins/pytorch/test/cpp_extensions/torch_library.cu -> /var/lib/jenkins/pytorch/test/cpp_extensions/torch_library.cu [skipped, no changes] 2025-08-26T21:37:29.7379759Z Successfully preprocessed all matching files. 2025-08-26T21:37:29.7380528Z Total number of unsupported CUDA function calls: 0 2025-08-26T21:37:29.7380976Z 2025-08-26T21:37:29.7381442Z 2025-08-26T21:37:29.7381694Z Total number of replaced kernel launches: 0 2025-08-26T21:37:29.7695299Z running install 2025-08-26T21:37:29.7697924Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:37:29.7699329Z !! 2025-08-26T21:37:29.7699581Z 2025-08-26T21:37:29.7699799Z ******************************************************************************** 2025-08-26T21:37:29.7700461Z Please avoid running ``setup.py`` directly. 2025-08-26T21:37:29.7701154Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:37:29.7701778Z standards-based tools. 2025-08-26T21:37:29.7702105Z 2025-08-26T21:37:29.7702493Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:37:29.7703299Z or your builds will no longer be supported. 2025-08-26T21:37:29.7704156Z 2025-08-26T21:37:29.7704764Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:37:29.7705720Z ******************************************************************************** 2025-08-26T21:37:29.7706125Z 2025-08-26T21:37:29.7706491Z !! 2025-08-26T21:37:29.7706873Z self.initialize_options() 2025-08-26T21:37:29.7797853Z running build 2025-08-26T21:37:29.7798889Z running build_py 2025-08-26T21:37:29.7860602Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension 2025-08-26T21:37:29.7864941Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension 2025-08-26T21:37:29.7868903Z running build_ext 2025-08-26T21:37:29.8289399Z building 'torch_test_cpp_extension.cpp' extension 2025-08-26T21:37:29.8291190Z creating /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310 2025-08-26T21:37:52.5277077Z [1/1] c++ -MMD -MF /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/extension.o.d -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/pytorch/test/cpp_extensions/extension.cpp -o /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-26T21:37:52.5285709Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-08-26T21:37:52.5287220Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-08-26T21:37:52.5288557Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:9, 2025-08-26T21:37:52.5289612Z from /var/lib/jenkins/pytorch/test/cpp_extensions/extension.cpp:1: 2025-08-26T21:37:52.5291890Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-08-26T21:37:52.5293523Z /var/lib/jenkins/pytorch/test/cpp_extensions/extension.cpp:45:53: required from here 2025-08-26T21:37:52.5296141Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:2041:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-08-26T21:37:52.5298607Z 2041 | class class_ : public detail::generic_type { 2025-08-26T21:37:52.5299450Z | ^~~~~~ 2025-08-26T21:37:52.5302048Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-08-26T21:37:52.5304585Z /var/lib/jenkins/pytorch/test/cpp_extensions/extension.cpp:45:53: required from here 2025-08-26T21:37:52.5309327Z /opt/conda/envs/py_3.10/lib/python3.10/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] 2025-08-26T21:37:52.5313029Z 2139 | with_internals([&](internals &internals) { 2025-08-26T21:37:52.5313674Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:37:52.5314525Z 2140 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-08-26T21:37:52.5315687Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:37:52.5316431Z 2141 | : internals.registered_types_cpp; 2025-08-26T21:37:52.5317121Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:37:52.5317761Z 2142 | instances[std::type_index(typeid(type_alias))] 2025-08-26T21:37:52.5318380Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:37:52.5318989Z 2143 | = instances[std::type_index(typeid(type))]; 2025-08-26T21:37:52.5319605Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:37:52.5320105Z 2144 | }); 2025-08-26T21:37:52.5320498Z | ~ 2025-08-26T21:37:52.5635564Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:37:53.0238823Z building 'torch_test_cpp_extension.maia' extension 2025-08-26T21:38:15.1771157Z [1/1] c++ -MMD -MF /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/maia_extension.o.d -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/pytorch/test/cpp_extensions/maia_extension.cpp -o /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/maia_extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-26T21:38:15.1829168Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/maia_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/maia.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:38:15.6326917Z building 'torch_test_cpp_extension.rng' extension 2025-08-26T21:38:39.8465424Z [1/1] c++ -MMD -MF /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/rng_extension.o.d -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp -o /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/rng_extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-26T21:38:39.8473162Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:38:39.8474638Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:38:39.8475925Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:38:39.8477366Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:38:39.8478656Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:6: 2025-08-26T21:38:39.8480933Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1478: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:38:39.8482744Z 1478 | #pragma unroll 2025-08-26T21:38:39.8483228Z | 2025-08-26T21:38:39.8484254Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-08-26T21:38:39.8485669Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530, 2025-08-26T21:38:39.8486949Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:38:39.8488169Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:38:39.8489369Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:38:39.8490988Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:38:39.8492403Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:6: 2025-08-26T21:38:39.8494067Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:38:39.8495270Z 59 | #pragma unroll 2025-08-26T21:38:39.8495662Z | 2025-08-26T21:38:39.8496895Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:38:39.8498065Z 72 | #pragma unroll 2025-08-26T21:38:39.8498437Z | 2025-08-26T21:38:39.8499660Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:38:39.8500999Z 87 | #pragma unroll 2025-08-26T21:38:39.8501385Z | 2025-08-26T21:38:39.8502194Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531, 2025-08-26T21:38:39.8503558Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-26T21:38:39.8504772Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-26T21:38:39.8505954Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-26T21:38:39.8507309Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-26T21:38:39.8508658Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:6: 2025-08-26T21:38:39.8510656Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-26T21:38:39.8512077Z 160 | #pragma unroll 2025-08-26T21:38:39.8512518Z | 2025-08-26T21:38:39.8513439Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.8515073Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.8516338Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.8517570Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.8518706Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.8519981Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.8521375Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.8522709Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.8524187Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.8525591Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.8527038Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.8528305Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.8529352Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.8531222Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.8533642Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.8536228Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.8538842Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.8541811Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.8544899Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.8554519Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.8570623Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.8580038Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.8581500Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.8582109Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.8591814Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.8602241Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.8604563Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.8605249Z | ^~~~~~~~ 2025-08-26T21:38:39.8606374Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.8607899Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.8609262Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.8610707Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.8612093Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.8613408Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.8615011Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.8616941Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.8618672Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.8620357Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.8621889Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.8623320Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.8624601Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.8625669Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.8627152Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.8628368Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.8628907Z | ^~~~ 2025-08-26T21:38:39.8629803Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.8631106Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.8632512Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.8633718Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.8634862Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.8636131Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.8637524Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.8638867Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.8640347Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.8642211Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.8643956Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.8645463Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.8646500Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.8648225Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.8650804Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.8653611Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.8656261Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.8659247Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.8662268Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.8672348Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.8688580Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.8697563Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.8698981Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.8699588Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.8708957Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.8718805Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.8720757Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.8721416Z | ^~~~~~~~ 2025-08-26T21:38:39.8722369Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.8723892Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.8725395Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.8726659Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.8727828Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.8729118Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.8730710Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.8732435Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.8734318Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.8736008Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.8737561Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.8739125Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.8740407Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.8741449Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.8742917Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.8744035Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.8744572Z | ^~~~ 2025-08-26T21:38:39.8745454Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.8746748Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.8748174Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.8749368Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.8750500Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.8751760Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.8753149Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.8754500Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.8755837Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.8757255Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.8758702Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.8759983Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.8761022Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.8762899Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.8765266Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.8767844Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.8770471Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.8773415Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.8776447Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.8785279Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.8800094Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.8808466Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.8809881Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.8810480Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.8819491Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.8828991Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.8830907Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.8831550Z | ^~~~~~~~ 2025-08-26T21:38:39.8832496Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.8834016Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.8835391Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.8836642Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.8837981Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.8839262Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.8840875Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.8842606Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.8844349Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.8846043Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.8847590Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.8849010Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.8850304Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.8851357Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.8852837Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.8854116Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.8854664Z | ^~~~ 2025-08-26T21:38:39.8855549Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.8856850Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.8858076Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.8859262Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.8860402Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.8861821Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.8863225Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.8864563Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.8866043Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.8867461Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.8869043Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.8870328Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.8871368Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.8873105Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.8875469Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.8878225Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.8880884Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.8883711Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.8886732Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.8895532Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.8910326Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.8918877Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.8920291Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.8920904Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.8929644Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.8939407Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.8941329Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.8941985Z | ^~~~~~~~ 2025-08-26T21:38:39.8942951Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.8944611Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.8945965Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.8947224Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.8948521Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.8949876Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.8951767Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.8953709Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.8955454Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.8957284Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.8958802Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.8960232Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.8961510Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.8962557Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.8964050Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.8965176Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.8965714Z | ^~~~ 2025-08-26T21:38:39.8966768Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.8968054Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.8969276Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.8970614Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.8971828Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.8973113Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.8974515Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.8975859Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.8977190Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.8978609Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.8980211Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.8981518Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.8982721Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.8984451Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.8986815Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.8989471Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.8992263Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.8995093Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.8998292Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9007439Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9023496Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9032402Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9033837Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9034441Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9043836Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9053669Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9055602Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9056255Z | ^~~~~~~~ 2025-08-26T21:38:39.9057217Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9058893Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9060237Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9061470Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9062620Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9063897Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9065522Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9067252Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9069096Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9070783Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9072304Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9073879Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9075168Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9076092Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9077284Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9078197Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9078633Z | ^~~~ 2025-08-26T21:38:39.9079347Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9080390Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9081501Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9082480Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9083386Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9084517Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9085631Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9086701Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9087763Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9088903Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9090075Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9091104Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9092063Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9093438Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9095324Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9097400Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9099512Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9101766Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9104189Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9111963Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9124354Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9131945Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9133091Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9133575Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9141144Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9148975Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9150747Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9151375Z | ^~~~~~~~ 2025-08-26T21:38:39.9152250Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9153473Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9154690Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9155700Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9156635Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9157767Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9159040Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9160420Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9161795Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9163146Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9164368Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9165616Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9166632Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9167475Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9168652Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9169557Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9170040Z | ^~~~ 2025-08-26T21:38:39.9170912Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9172072Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9173077Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9174043Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9174954Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9175973Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9177087Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9178293Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9179375Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9180527Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9181681Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9182697Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9183534Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9185013Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9186919Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9189081Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9191342Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9193589Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9196049Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9203125Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9215240Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9221995Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9223134Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9223619Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9230807Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9238464Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9240012Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9240542Z | ^~~~~~~~ 2025-08-26T21:38:39.9241309Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9242531Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9243611Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9244603Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9245538Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9246543Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9247817Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9249196Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9250897Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9252392Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9253613Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9254749Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9255771Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9256608Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9257784Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9258787Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9259232Z | ^~~~ 2025-08-26T21:38:39.9259938Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9260983Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9262072Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9263033Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9263947Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9264958Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9266075Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9267143Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9268393Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9269547Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9270708Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9271737Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9272569Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9273953Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9275834Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9277923Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9280031Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9282431Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9284865Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9292256Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9303991Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9310956Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9312091Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9312583Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9319694Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9327146Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9328690Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9329211Z | ^~~~~~~~ 2025-08-26T21:38:39.9330030Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9331632Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9332744Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9333852Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9334792Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9335802Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9337069Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9338447Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9339827Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9341179Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9342531Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9343667Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9344703Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9345550Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9346740Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9347647Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9348158Z | ^~~~ 2025-08-26T21:38:39.9348876Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9349950Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9350939Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9351896Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9352813Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9353965Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9354586Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9355183Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9355786Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9356414Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9357056Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9357621Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9358146Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9358911Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9360031Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9361161Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9362309Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9363549Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9364869Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9368728Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9375468Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9379198Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9379825Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9380093Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9383917Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9388122Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9388975Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9389267Z | ^~~~~~~~ 2025-08-26T21:38:39.9389743Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9390523Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9391220Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9391791Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9392307Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9392869Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9393566Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9394392Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9395150Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9395896Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9396568Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9397191Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9397749Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9398270Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9398918Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9399416Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9399731Z | ^~~~ 2025-08-26T21:38:39.9400123Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9400689Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9401231Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9401755Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9402253Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9402813Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9403431Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9404089Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9404674Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9405289Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9405926Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9406482Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9406935Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9407675Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9408715Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9409845Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9411283Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9412630Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9413952Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9417766Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9424180Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9427916Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9428594Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9428868Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9432763Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9436823Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9437751Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9438041Z | ^~~~~~~~ 2025-08-26T21:38:39.9438467Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9439133Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9439795Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9440339Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9440853Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9441414Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9442120Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9442872Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9443701Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9444440Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9461563Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9462231Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9462804Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9463277Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9463979Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9464508Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9464758Z | ^~~~ 2025-08-26T21:38:39.9465160Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9465739Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9466277Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9466795Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9467382Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9467948Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9468657Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9469246Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9469820Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9470428Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9471145Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9471706Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9472166Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9473012Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9474038Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9475161Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9476311Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9477538Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9478930Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9482696Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9489126Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9492803Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9493498Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9493770Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9497611Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9501726Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9502574Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9502865Z | ^~~~~~~~ 2025-08-26T21:38:39.9503286Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9503954Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9504545Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9505093Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9505606Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9506218Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9506940Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9507708Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9508548Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9509287Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9509954Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9510647Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9511211Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9511669Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9512398Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9512903Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9513145Z | ^~~~ 2025-08-26T21:38:39.9513539Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9514112Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9514652Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9515180Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9515675Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9516309Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9516923Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9517510Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9518087Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9518702Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9519339Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9519892Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9520358Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9521113Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9522141Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9523330Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9524483Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9525721Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9527045Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9530877Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9537283Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9541040Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9541663Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9541935Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9545824Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9550033Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9550892Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9551251Z | ^~~~~~~~ 2025-08-26T21:38:39.9551677Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9552346Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9552942Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9553491Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9554009Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9554571Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9555268Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9556091Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9556842Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9557580Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9558244Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9558866Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9559424Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9559888Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9560534Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9561029Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9561264Z | ^~~~ 2025-08-26T21:38:39.9561652Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9562220Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9562830Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9563356Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9563855Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9564411Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9565018Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9565602Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9566233Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9566853Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9567483Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9568104Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9568558Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9569306Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9570339Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9571467Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9572610Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9573899Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9575218Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9579262Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9586048Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9590001Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9590621Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9590893Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9594932Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9599222Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9600069Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9600349Z | ^~~~~~~~ 2025-08-26T21:38:39.9600764Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9601421Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9602095Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9602639Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9603149Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9603693Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9604376Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9605115Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9605930Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9606664Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9607323Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9608004Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9608558Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9609012Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9609651Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9610143Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9610382Z | ^~~~ 2025-08-26T21:38:39.9610768Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9611328Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9611916Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9612432Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9612917Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9613463Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9614068Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9614647Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9615220Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9615834Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9616462Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9617015Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9617461Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9618261Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9619287Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9620403Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9621540Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9622822Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9624138Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9628297Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9635222Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9639173Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9639794Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9640056Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9644211Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9648573Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9649425Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9649705Z | ^~~~~~~~ 2025-08-26T21:38:39.9650127Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9650849Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9651431Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9651966Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9652470Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9653021Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9653713Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9654460Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9655214Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9655946Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9656607Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9657224Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9657833Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9658290Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9658926Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9659424Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9659658Z | ^~~~ 2025-08-26T21:38:39.9660045Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9660614Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9661152Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9661730Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9662226Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9662779Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9663509Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9664093Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9664673Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9665289Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9665919Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9666473Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9666924Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9667671Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9668743Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9669870Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9671089Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9672321Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9673643Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9677752Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9684636Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9688601Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9689214Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9689473Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9693652Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9697948Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9698845Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9699125Z | ^~~~~~~~ 2025-08-26T21:38:39.9699541Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9700197Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9700787Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9701322Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9701832Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9702444Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9703138Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9703883Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9704636Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9705449Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9706115Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9706745Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9707303Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9707765Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9708450Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9708944Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9709177Z | ^~~~ 2025-08-26T21:38:39.9709641Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9710221Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9710761Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9711282Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9711778Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9712333Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9712942Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9713587Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9714170Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9714782Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9715476Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9716034Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9716487Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9717237Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9718270Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9719388Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9720617Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9721833Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9723153Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9727256Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9734160Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9738115Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9738743Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9739005Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9743088Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9747403Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9748284Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9748573Z | ^~~~~~~~ 2025-08-26T21:38:39.9749059Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9749722Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9750317Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9750860Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9751362Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9751914Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9752661Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9753413Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9754150Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9754948Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9755606Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9756218Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9756766Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9757215Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9757859Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9758424Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9758664Z | ^~~~ 2025-08-26T21:38:39.9759054Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9759614Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9760143Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9760660Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9761156Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9761702Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9762305Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9762886Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9763459Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9764066Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9764692Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9765301Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9765753Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9766496Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9767517Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9768640Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9769841Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9771059Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9772428Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9776462Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9783397Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9787274Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9787882Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9788180Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9792341Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9796654Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9797560Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9797845Z | ^~~~~~~~ 2025-08-26T21:38:39.9798261Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9798915Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9799496Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9800046Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9800546Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9801091Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9801784Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9802530Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9803274Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9804001Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9804738Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9805359Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9805918Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9806376Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9807018Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9807517Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9807759Z | ^~~~ 2025-08-26T21:38:39.9808146Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9808786Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9809328Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9809907Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9810402Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9810952Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9811556Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9812148Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9812736Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9813349Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9814043Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9814605Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9815060Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9815802Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9816838Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9817957Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9819113Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9820331Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9821711Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9825810Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9832767Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9836718Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9837337Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9837611Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9841767Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9846028Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9846868Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9847157Z | ^~~~~~~~ 2025-08-26T21:38:39.9847643Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9848309Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9848899Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9849515Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9850027Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9850577Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9851271Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9852029Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9852778Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9853574Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9854241Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9854866Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9855424Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9855884Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9856535Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9857035Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9857272Z | ^~~~ 2025-08-26T21:38:39.9857674Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9858236Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9858772Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9859292Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9859787Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9860396Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9861007Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9861601Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9862180Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9862793Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9863425Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9864028Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9864485Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9865228Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9866310Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9867433Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9868649Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9869879Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9871287Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9875325Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9882303Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9886206Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9886893Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9887159Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9891259Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9895584Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9896428Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9896724Z | ^~~~~~~~ 2025-08-26T21:38:39.9897139Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9897799Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9898388Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9898931Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9899440Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9900054Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9900746Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9901497Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9902245Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9902972Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9903689Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9904317Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9904873Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9905386Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9906031Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9906525Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9906764Z | ^~~~ 2025-08-26T21:38:39.9907156Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9907727Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9908315Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9908836Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9909410Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9909962Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9910569Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9911151Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9911735Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9912352Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9912982Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9913544Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9913991Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9914744Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9915766Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9916972Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9918126Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9919355Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9920668Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9924770Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9931685Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9935621Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9936239Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9936505Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9940778Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9945108Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9945945Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9946227Z | ^~~~~~~~ 2025-08-26T21:38:39.9946645Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9947315Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9947905Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9948497Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9949098Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9949649Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9950341Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:39.9951100Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:39.9951858Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:39.9952596Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:39.9953263Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:39.9953886Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:39.9954446Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9954910Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9955561Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:39.9956125Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:39.9956363Z | ^~~~ 2025-08-26T21:38:39.9956754Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:39.9957327Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:39.9957862Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:39.9958386Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:39.9958884Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:39.9959507Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:39.9960119Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:39.9960707Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:39.9961359Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:39.9961975Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:39.9962610Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:39.9963171Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:39.9963626Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:39.9964378Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:39.9965401Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:39.9966597Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:39.9967739Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:39.9968962Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:39.9970282Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:39.9974387Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:39.9981281Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:39.9985219Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:39.9985842Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:39.9986166Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:39.9990306Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:39.9994577Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:39.9995493Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:39.9995784Z | ^~~~~~~~ 2025-08-26T21:38:39.9996201Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:39.9996870Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:39.9997457Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:39.9997997Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:39.9998503Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:39.9999120Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:39.9999813Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:40.0000568Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:40.0001385Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:40.0002118Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:40.0002778Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:40.0003400Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:40.0003955Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:40.0004411Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:40.0005123Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:40.0005615Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:40.0005851Z | ^~~~ 2025-08-26T21:38:40.0006236Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:40.0006800Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:40.0007356Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:40.0007879Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:40.0008375Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:40.0008932Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:40.0009552Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:40.0010137Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:40.0010712Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:40.0011329Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:40.0012027Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:40.0012586Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:40.0013043Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:40.0013784Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:40.0014804Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:40.0016109Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:40.0017362Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:40.0018844Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:40.0020259Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:40.0024201Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:40.0030941Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:40.0034939Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:40.0035655Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:40.0036051Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:40.0040042Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:40.0044397Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:40.0045354Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:40.0045861Z | ^~~~~~~~ 2025-08-26T21:38:40.0046408Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:40.0047192Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:40.0047916Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:40.0048574Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:40.0049190Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:40.0049874Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:40.0050657Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:40.0051530Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:40.0052387Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:40.0053195Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:40.0054004Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:40.0054841Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:40.0055503Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:40.0056092Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:40.0056826Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:40.0057444Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:40.0057767Z | ^~~~ 2025-08-26T21:38:40.0058232Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:40.0058593Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:40.0058910Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:40.0059154Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:40.0059492Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:40.0059820Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:40.0060153Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:40.0060449Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:40.0060804Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:40.0061122Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:40.0061463Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:40.0061749Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:40.0062012Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:40.0062556Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:40.0063184Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:40.0063845Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:40.0064491Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:40.0065277Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:40.0066014Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:40.0069689Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:40.0073685Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:40.0074470Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:40.0074631Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:40.0074782Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:40.0078839Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:40.0079714Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:40.0080022Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:40.0080119Z | ^~~~~~~~ 2025-08-26T21:38:40.0080499Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:40.0080869Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:40.0081159Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:40.0081456Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:40.0081795Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:40.0082105Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:40.0082508Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:40.0082899Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:40.0083300Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:40.0083689Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:40.0084048Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:40.0084380Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:40.0084633Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:40.0084873Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:40.0085321Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:40.0085484Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:40.0085582Z | ^~~~ 2025-08-26T21:38:40.0085955Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:40.0086207Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:40.0086531Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:40.0086776Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:40.0087037Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:40.0087356Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:40.0087714Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:40.0088026Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:40.0088359Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:40.0088678Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:40.0089024Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:40.0089261Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:40.0089545Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:40.0090102Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:40.0090745Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:40.0091472Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:40.0092104Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:40.0092869Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:40.0093620Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:40.0097395Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:40.0101404Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:40.0102054Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:40.0102212Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:40.0102419Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:40.0106425Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:40.0107357Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:40.0107580Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:40.0107691Z | ^~~~~~~~ 2025-08-26T21:38:40.0108124Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:40.0108446Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:40.0108773Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:40.0109074Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:40.0109316Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:40.0109732Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:40.0110120Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:40.0110535Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:40.0110899Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:40.0111349Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:40.0111652Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:40.0112056Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:40.0112303Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:40.0112519Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:40.0113041Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:40.0113219Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:40.0113333Z | ^~~~ 2025-08-26T21:38:40.0113659Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:40.0113920Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:40.0114221Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:40.0114485Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:40.0114762Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:40.0115140Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:40.0115458Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:40.0115731Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:40.0116095Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:40.0116422Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:40.0116754Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:40.0116993Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:40.0117253Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:40.0117817Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:40.0118483Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:40.0119217Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:40.0119854Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:40.0120596Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:40.0121381Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:40.0124985Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:40.0128960Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:40.0129629Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:40.0129798Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:40.0129956Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:40.0134087Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:40.0134997Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:40.0135216Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:40.0135386Z | ^~~~~~~~ 2025-08-26T21:38:40.0135779Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:40.0136139Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:40.0136414Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:40.0136696Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:40.0137008Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:40.0137385Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:40.0137759Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:40.0138154Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:40.0138533Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:40.0138920Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:40.0139240Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:40.0139586Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:40.0139828Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:40.0140055Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:40.0140468Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:40.0140674Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:40.0140774Z | ^~~~ 2025-08-26T21:38:40.0141154Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:40.0141417Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:40.0141703Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:40.0141971Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:40.0142304Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:40.0142615Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:40.0142991Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:40.0143278Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:40.0143616Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:40.0144008Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:40.0144339Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:40.0144579Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:40.0144825Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:40.0145362Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:40.0146032Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:40.0146770Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:40.0147397Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:40.0148216Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:40.0149021Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:40.0152426Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:40.0156154Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:40.0156860Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:40.0156987Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:40.0157182Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:40.0160923Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:40.0161873Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:40.0162080Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:40.0162163Z | ^~~~~~~~ 2025-08-26T21:38:40.0162583Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:40.0162970Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:40.0163273Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:40.0163534Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:40.0163788Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:40.0164179Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:40.0164556Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:40.0164948Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:40.0165377Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:40.0165745Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:40.0166141Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:40.0166487Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:40.0166765Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:40.0166995Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:40.0167436Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:40.0167624Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:40.0167737Z | ^~~~ 2025-08-26T21:38:40.0168056Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-26T21:38:40.0168385Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-26T21:38:40.0168690Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-26T21:38:40.0168921Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-26T21:38:40.0169231Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-26T21:38:40.0169542Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-26T21:38:40.0169861Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-26T21:38:40.0170159Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-26T21:38:40.0170451Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-26T21:38:40.0175971Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-26T21:38:40.0176322Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-26T21:38:40.0176565Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:40.0176751Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:40.0177425Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-26T21:38:40.0178012Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-26T21:38:40.0178641Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-26T21:38:40.0179243Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-26T21:38:40.0179989Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-26T21:38:40.0180713Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-26T21:38:40.0184213Z 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_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-26T21:38:40.0188178Z 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_3.10/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-26T21:38:40.0188812Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-26T21:38:40.0188941Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-26T21:38:40.0189033Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-26T21:38:40.0193059Z /opt/conda/envs/py_3.10/lib/python3.10/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}]’: 2025-08-26T21:38:40.0193968Z /opt/conda/envs/py_3.10/lib/python3.10/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 2025-08-26T21:38:40.0194118Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-26T21:38:40.0194188Z | ^~~~~~~~ 2025-08-26T21:38:40.0194501Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-26T21:38:40.0194853Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-26T21:38:40.0195089Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-26T21:38:40.0195321Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-26T21:38:40.0195522Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18, 2025-08-26T21:38:40.0195805Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-26T21:38:40.0196148Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-26T21:38:40.0196486Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-26T21:38:40.0196831Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-26T21:38:40.0197146Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-26T21:38:40.0197425Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-26T21:38:40.0197754Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-26T21:38:40.0197977Z from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5, 2025-08-26T21:38:40.0198149Z from /var/lib/jenkins/pytorch/test/cpp_extensions/rng_extension.cpp:1: 2025-08-26T21:38:40.0198557Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-26T21:38:40.0198659Z 413 | PtrVector data(base, base + ntensor); 2025-08-26T21:38:40.0198732Z | ^~~~ 2025-08-26T21:38:40.0200236Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/rng_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:38:40.3092140Z building 'torch_test_cpp_extension.cuda' extension 2025-08-26T21:39:00.9163718Z [1/3] c++ -MMD -MF /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_extension.o.d -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -I/var/lib/jenkins/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/pytorch/test/cpp_extensions/cuda_extension.cpp -o /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_extension.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -std=c++17 2025-08-26T21:39:01.9157913Z [2/3] /opt/rocm/bin/hipcc -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -I/var/lib/jenkins/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/pytorch/test/cpp_extensions/hip_extension_kernel.hip -o /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/hip_extension_kernel.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -DHIP_ENABLE_WARP_SYNC_BUILTINS=1 -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda --offload-arch=gfx90a --offload-arch=gfx942 -fno-gpu-rdc -std=c++17 2025-08-26T21:39:02.1081676Z [3/3] /opt/rocm/bin/hipcc -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -I/var/lib/jenkins/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/pytorch/test/cpp_extensions/hip_extension_kernel2.hip -o /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/hip_extension_kernel2.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -DHIP_ENABLE_WARP_SYNC_BUILTINS=1 -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda --offload-arch=gfx90a --offload-arch=gfx942 -fno-gpu-rdc -std=c++17 2025-08-26T21:39:02.1134614Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_extension.o /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/hip_extension_kernel.o /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/hip_extension_kernel2.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/opt/rocm/lib -L/opt/rocm/hip/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -lamdhip64 -lc10_hip -ltorch_hip -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:39:02.6047303Z building 'torch_test_cpp_extension.torch_library' extension 2025-08-26T21:39:50.7961099Z [1/1] /opt/rocm/bin/hipcc -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THH -I/opt/rocm/include -I/var/lib/jenkins/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/pytorch/test/cpp_extensions/torch_library.cu -o /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/torch_library.o -D__HIP_PLATFORM_AMD__=1 -DUSE_ROCM=1 -DHIPBLAS_V2 -fPIC -DCUDA_HAS_FP16=1 -D__HIP_NO_HALF_OPERATORS__=1 -D__HIP_NO_HALF_CONVERSIONS__=1 -DHIP_ENABLE_WARP_SYNC_BUILTINS=1 -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=torch_library --offload-arch=gfx90a --offload-arch=gfx942 -fno-gpu-rdc -std=c++17 2025-08-26T21:39:50.8012913Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared /var/lib/jenkins/pytorch/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/torch_library.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/opt/rocm/lib -L/opt/rocm/hip/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -lamdhip64 -lc10_hip -ltorch_hip -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so 2025-08-26T21:39:51.1207328Z running install_lib 2025-08-26T21:39:51.1354082Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/maia.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:39:51.1726735Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:39:51.2040119Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:39:51.2256863Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:39:51.2260714Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension 2025-08-26T21:39:51.2402906Z running install_egg_info 2025-08-26T21:39:51.2542086Z running egg_info 2025-08-26T21:39:51.2599132Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-26T21:39:51.2604847Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-26T21:39:51.2609560Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-26T21:39:51.2610516Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-26T21:39:51.2668343Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:39:51.2677874Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-26T21:39:51.2679149Z removing './install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info' (and everything under it) 2025-08-26T21:39:51.2682639Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info 2025-08-26T21:39:51.2689232Z running install_scripts 2025-08-26T21:39:53.2618053Z running install 2025-08-26T21:39:53.2619468Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:39:53.2621400Z !! 2025-08-26T21:39:53.2621621Z 2025-08-26T21:39:53.2621861Z ******************************************************************************** 2025-08-26T21:39:53.2622522Z Please avoid running ``setup.py`` directly. 2025-08-26T21:39:53.2623214Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:39:53.2624281Z standards-based tools. 2025-08-26T21:39:53.2624613Z 2025-08-26T21:39:53.2625001Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:39:53.2625794Z or your builds will no longer be supported. 2025-08-26T21:39:53.2626190Z 2025-08-26T21:39:53.2626728Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:39:53.2627628Z ******************************************************************************** 2025-08-26T21:39:53.2628165Z 2025-08-26T21:39:53.2628306Z !! 2025-08-26T21:39:53.2628693Z self.initialize_options() 2025-08-26T21:39:53.2714781Z running build 2025-08-26T21:39:53.2715316Z running build_ext 2025-08-26T21:39:53.3127926Z building 'no_python_abi_suffix_test' extension 2025-08-26T21:39:53.3750805Z ninja: no work to do. 2025-08-26T21:39:53.3796138Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared /var/lib/jenkins/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so 2025-08-26T21:39:53.4746999Z running install_lib 2025-08-26T21:39:53.4811044Z copying build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages 2025-08-26T21:39:53.4815830Z running install_egg_info 2025-08-26T21:39:53.4954649Z running egg_info 2025-08-26T21:39:53.5009431Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2025-08-26T21:39:53.5013655Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2025-08-26T21:39:53.5015436Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2025-08-26T21:39:53.5074495Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T21:39:53.5082068Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-26T21:39:53.5084408Z removing './install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/no_python_abi_suffix_test-0.0.0-py3.10.egg-info' (and everything under it) 2025-08-26T21:39:53.5086550Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/no_python_abi_suffix_test-0.0.0-py3.10.egg-info 2025-08-26T21:39:53.5091931Z running install_scripts 2025-08-26T21:39:55.2781793Z /var/lib/jenkins/pytorch/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.cu -> /var/lib/jenkins/pytorch/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.cu [skipped, no changes] 2025-08-26T21:39:55.2784268Z Successfully preprocessed all matching files. 2025-08-26T21:39:55.2784916Z Total number of unsupported CUDA function calls: 0 2025-08-26T21:39:55.2785298Z 2025-08-26T21:39:55.2785307Z 2025-08-26T21:39:55.2785495Z Total number of replaced kernel launches: 0 2025-08-26T21:39:55.3072019Z running bdist_wheel 2025-08-26T21:39:55.3705049Z running build 2025-08-26T21:39:55.3705549Z running build_ext 2025-08-26T21:39:55.3720639Z building 'python_agnostic._C' extension 2025-08-26T21:39:55.4322904Z ninja: no work to do. 2025-08-26T21:39:55.4366723Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared /var/lib/jenkins/pytorch/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/python_agnostic/csrc/ultra_norm.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/opt/rocm/lib -L/opt/rocm/hip/lib -lc10 -ltorch -ltorch_cpu -lamdhip64 -lc10_hip -ltorch_hip -o build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so 2025-08-26T21:39:55.8181197Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:39:55.8182687Z !! 2025-08-26T21:39:55.8182910Z 2025-08-26T21:39:55.8183132Z ******************************************************************************** 2025-08-26T21:39:55.8183830Z Please avoid running ``setup.py`` directly. 2025-08-26T21:39:55.8184537Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:39:55.8185172Z standards-based tools. 2025-08-26T21:39:55.8185489Z 2025-08-26T21:39:55.8185925Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:39:55.8186736Z or your builds will no longer be supported. 2025-08-26T21:39:55.8187151Z 2025-08-26T21:39:55.8187689Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:39:55.8189160Z ******************************************************************************** 2025-08-26T21:39:55.8189563Z 2025-08-26T21:39:55.8189719Z !! 2025-08-26T21:39:55.8190110Z self.initialize_options() 2025-08-26T21:39:55.8285142Z installing to build/bdist.linux-x86_64/wheel 2025-08-26T21:39:55.8285785Z running install 2025-08-26T21:39:55.8358547Z running install_lib 2025-08-26T21:39:55.8467908Z creating build/bdist.linux-x86_64/wheel 2025-08-26T21:39:55.8471170Z creating build/bdist.linux-x86_64/wheel/python_agnostic 2025-08-26T21:39:55.8472746Z copying build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so -> build/bdist.linux-x86_64/wheel/./python_agnostic 2025-08-26T21:39:55.8476854Z running install_egg_info 2025-08-26T21:39:55.8586627Z running egg_info 2025-08-26T21:39:55.8688486Z writing python_agnostic.egg-info/PKG-INFO 2025-08-26T21:39:55.8696342Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt 2025-08-26T21:39:55.8701937Z writing top-level names to python_agnostic.egg-info/top_level.txt 2025-08-26T21:39:55.8811861Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-08-26T21:39:55.8826189Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-08-26T21:39:55.8829152Z Copying python_agnostic.egg-info to build/bdist.linux-x86_64/wheel/./python_agnostic-0.0-py3.10.egg-info 2025-08-26T21:39:55.8840281Z running install_scripts 2025-08-26T21:39:55.8936839Z creating build/bdist.linux-x86_64/wheel/python_agnostic-0.0.dist-info/WHEEL 2025-08-26T21:39:55.8939963Z creating 'dist/python_agnostic-0.0-cp39-abi3-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it 2025-08-26T21:39:55.8958172Z adding 'python_agnostic/_C.so' 2025-08-26T21:39:55.8962198Z adding 'python_agnostic-0.0.dist-info/METADATA' 2025-08-26T21:39:55.8963074Z adding 'python_agnostic-0.0.dist-info/WHEEL' 2025-08-26T21:39:55.8963778Z adding 'python_agnostic-0.0.dist-info/top_level.txt' 2025-08-26T21:39:55.8964496Z adding 'python_agnostic-0.0.dist-info/RECORD' 2025-08-26T21:39:55.8965119Z removing build/bdist.linux-x86_64/wheel 2025-08-26T21:39:57.7323108Z /var/lib/jenkins/pytorch/test/cpp_extensions/libtorch_agnostic_extension/libtorch_agnostic/csrc/kernel.cpp -> /var/lib/jenkins/pytorch/test/cpp_extensions/libtorch_agnostic_extension/libtorch_agnostic/csrc/kernel_hip.cpp [skipped, already hipified] 2025-08-26T21:39:57.7325997Z Successfully preprocessed all matching files. 2025-08-26T21:39:57.7326755Z Total number of unsupported CUDA function calls: 0 2025-08-26T21:39:57.7327205Z 2025-08-26T21:39:57.7327217Z 2025-08-26T21:39:57.7327444Z Total number of replaced kernel launches: 0 2025-08-26T21:39:57.7635099Z running install 2025-08-26T21:39:57.7639176Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-26T21:39:57.7640710Z !! 2025-08-26T21:39:57.7640917Z 2025-08-26T21:39:57.7641166Z ******************************************************************************** 2025-08-26T21:39:57.7642082Z Please avoid running ``setup.py`` directly. 2025-08-26T21:39:57.7642771Z Instead, use pypa/build, pypa/installer or other 2025-08-26T21:39:57.7643392Z standards-based tools. 2025-08-26T21:39:57.7643726Z 2025-08-26T21:39:57.7644114Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-26T21:39:57.7644908Z or your builds will no longer be supported. 2025-08-26T21:39:57.7645312Z 2025-08-26T21:39:57.7645844Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-26T21:39:57.7646725Z ******************************************************************************** 2025-08-26T21:39:57.7647129Z 2025-08-26T21:39:57.7647273Z !! 2025-08-26T21:39:57.7647648Z self.initialize_options() 2025-08-26T21:39:57.7731665Z running build 2025-08-26T21:39:57.7732177Z running build_py 2025-08-26T21:39:57.7793461Z copying libtorch_agnostic/ops.py -> build/lib.linux-x86_64-cpython-310/libtorch_agnostic 2025-08-26T21:39:57.7797353Z copying libtorch_agnostic/__init__.py -> build/lib.linux-x86_64-cpython-310/libtorch_agnostic 2025-08-26T21:39:57.7803231Z running build_ext 2025-08-26T21:39:57.8206939Z building 'libtorch_agnostic._C' extension 2025-08-26T21:39:57.8901483Z ninja: no work to do. 2025-08-26T21:39:57.8937593Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -shared /var/lib/jenkins/pytorch/test/cpp_extensions/libtorch_agnostic_extension/build/temp.linux-x86_64-cpython-310/libtorch_agnostic/csrc/kernel_hip.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/opt/rocm/lib -L/opt/rocm/hip/lib -lc10 -ltorch -ltorch_cpu -lamdhip64 -lc10_hip -ltorch_hip -o build/lib.linux-x86_64-cpython-310/libtorch_agnostic/_C.so 2025-08-26T21:39:58.2187536Z running install_lib 2025-08-26T21:39:58.2333350Z copying build/lib.linux-x86_64-cpython-310/libtorch_agnostic/_C.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic 2025-08-26T21:39:58.2347523Z running install_egg_info 2025-08-26T21:39:58.2673468Z running egg_info 2025-08-26T21:39:58.2812461Z writing libtorch_agnostic.egg-info/PKG-INFO 2025-08-26T21:39:58.2822193Z writing dependency_links to libtorch_agnostic.egg-info/dependency_links.txt 2025-08-26T21:39:58.2827771Z writing requirements to libtorch_agnostic.egg-info/requires.txt 2025-08-26T21:39:58.2830830Z writing top-level names to libtorch_agnostic.egg-info/top_level.txt 2025-08-26T21:39:58.2944597Z reading manifest file 'libtorch_agnostic.egg-info/SOURCES.txt' 2025-08-26T21:39:58.2960961Z writing manifest file 'libtorch_agnostic.egg-info/SOURCES.txt' 2025-08-26T21:39:58.2962907Z removing './install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic-0.0-py3.10.egg-info' (and everything under it) 2025-08-26T21:39:58.2968498Z Copying libtorch_agnostic.egg-info to ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic-0.0-py3.10.egg-info 2025-08-26T21:39:58.2981145Z running install_scripts 2025-08-26T21:39:58.6638858Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:39:58.6642224Z Executing ['/opt/conda/envs/py_3.10/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 21:39:58.663931] 2025-08-26T21:40:02.5371052Z 2025-08-26T21:40:02.5376442Z 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_d6f5f69263864445_.log 2025-08-26T21:40:02.5382799Z 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 2025-08-26T21:40:02.5389124Z 2025-08-26T21:40:02.5389308Z Running test_cpp_extensions_jit 1/1 ... [2025-08-26 21:40:02.537332] 2025-08-26T21:40:02.5389685Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:40:02.5390593Z Executing ['/opt/conda/envs/py_3.10/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 21:40:02.537644] 2025-08-26T21:45:18.7788396Z 2025-08-26T21:45:18.7789827Z 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_11da26246aefa068_.log 2025-08-26T21:45:18.7822849Z 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 2025-08-26T21:45:18.7844710Z 2025-08-26T21:45:18.7845094Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-08-26 21:45:18.779117] 2025-08-26T21:45:18.7845833Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:45:18.7847556Z Executing ['/opt/conda/envs/py_3.10/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 21:45:18.779679] 2025-08-26T21:45:22.0522069Z 2025-08-26T21:45:22.0524158Z 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_01551f5e008a39ad_.log 2025-08-26T21:45:22.0528911Z 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 2025-08-26T21:45:22.0532612Z 2025-08-26T21:45:22.0533165Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-08-26 21:45:22.052361] 2025-08-26T21:45:22.0534876Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:45:22.0536830Z Executing ['/opt/conda/envs/py_3.10/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 21:45:22.052918] 2025-08-26T21:45:25.2755891Z 2025-08-26T21:45:25.2757635Z 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_23619f724ab97818_.log 2025-08-26T21:45:25.2759473Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event 2025-08-26T21:45:25.2760225Z 2025-08-26T21:45:25.2764280Z Running test_cuda_primary_ctx 1/1 ... [2025-08-26 21:45:25.275915] 2025-08-26T21:45:25.2765789Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:45:25.2768117Z Executing ['/opt/conda/envs/py_3.10/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 21:45:25.276537] 2025-08-26T21:45:42.2954882Z 2025-08-26T21:45:42.2956432Z 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_04aea8460dbd92bc_.log 2025-08-26T21:45:42.2958515Z Running 4 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_copy, test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_pin_memory, test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_set_device_0, test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_str_repr 2025-08-26T21:45:42.2959796Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_copy 2025-08-26T21:45:42.2960445Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_pin_memory 2025-08-26T21:45:42.2961088Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_set_device_0 2025-08-26T21:45:42.2961718Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_str_repr 2025-08-26T21:45:42.2962674Z 2025-08-26T21:45:42.2962889Z Running test_jit_disabled 1/1 ... [2025-08-26 21:45:42.295863] 2025-08-26T21:45:42.2963255Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:45:42.2965522Z Executing ['/opt/conda/envs/py_3.10/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 21:45:42.296179] 2025-08-26T21:45:45.8186954Z 2025-08-26T21:45:45.8188820Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_0bca0031c9fdec1e_.log 2025-08-26T21:45:45.8191401Z 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 2025-08-26T21:45:45.8193135Z 2025-08-26T21:45:45.8193550Z Running test_namedtuple_return_api 1/1 ... [2025-08-26 21:45:45.818975] 2025-08-26T21:45:45.8194315Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:45:45.8203628Z Executing ['/opt/conda/envs/py_3.10/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 21:45:45.819564] 2025-08-26T21:45:50.3948150Z 2025-08-26T21:45:50.3949542Z 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_34d263f96d5ef2c0_.log 2025-08-26T21:45:50.3952703Z 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 2025-08-26T21:45:50.3954339Z 2025-08-26T21:45:50.3954626Z Running test_show_pickle 1/1 ... [2025-08-26 21:45:50.394706] 2025-08-26T21:45:50.3955205Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:45:50.3956626Z Executing ['/opt/conda/envs/py_3.10/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 21:45:50.395005] 2025-08-26T21:45:53.8173607Z 2025-08-26T21:45:53.8174884Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_0f8b20d732cea625_.log 2025-08-26T21:45:53.8176988Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model 2025-08-26T21:45:53.8177613Z 2025-08-26T21:45:53.8179637Z Running inductor/test_halide 1/1 ... [2025-08-26 21:45:53.817489] 2025-08-26T21:45:53.8180260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:45:53.8186110Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.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 21:45:53.818024] 2025-08-26T21:45:59.5368619Z 2025-08-26T21:45:59.5370317Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_bbbc889ec2626efa_.log 2025-08-26T21:45:59.5371568Z 2025-08-26T21:45:59.5376499Z Running dynamo/test_nested_graph_breaks 1/1 ... [2025-08-26 21:45:59.537106] 2025-08-26T21:45:59.5377369Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:45:59.5382785Z Executing ['/opt/conda/envs/py_3.10/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 21:45:59.537705] 2025-08-26T21:46:02.9651253Z 2025-08-26T21:46:02.9653124Z 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_9304352c1dc5074d_.log 2025-08-26T21:46:02.9654894Z Running 0 items in this shard: 2025-08-26T21:46:02.9663370Z 2025-08-26T21:46:02.9663798Z Running inductor/test_xpu_basic 1/1 ... [2025-08-26 21:46:02.965378] 2025-08-26T21:46:02.9664426Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:02.9665869Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_xpu_basic.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 21:46:02.965950] 2025-08-26T21:46:08.6873160Z 2025-08-26T21:46:08.6874437Z inductor/test_xpu_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_xpu_basic_1.1_7e0c01f34548ae85_.log 2025-08-26T21:46:08.6875476Z 2025-08-26T21:46:08.6884181Z Running test_stateless 1/1 ... [2025-08-26 21:46:08.687579] 2025-08-26T21:46:08.6885050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:08.6887228Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_stateless.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 21:46:08.688126] 2025-08-26T21:46:12.1608154Z 2025-08-26T21:46:12.1609667Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_9fbaf47d442170fe_.log 2025-08-26T21:46:12.1611481Z Running 0 items in this shard: 2025-08-26T21:46:12.1611849Z 2025-08-26T21:46:12.1614165Z Running optim/test_swa_utils 1/1 ... [2025-08-26 21:46:12.160937] 2025-08-26T21:46:12.1614888Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:12.1622158Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_swa_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 21:46:12.161555] 2025-08-26T21:46:15.2058471Z 2025-08-26T21:46:15.2059433Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_0363e309fe7a4059_.log 2025-08-26T21:46:15.2060074Z 2025-08-26T21:46:15.2063678Z Running test_futures 1/1 ... [2025-08-26 21:46:15.205923] 2025-08-26T21:46:15.2064076Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:15.2067598Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_futures.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 21:46:15.206192] 2025-08-26T21:46:18.4276161Z 2025-08-26T21:46:18.4277982Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_cfae3d4af226354f_.log 2025-08-26T21:46:18.4279393Z Running 0 items in this shard: 2025-08-26T21:46:18.4279811Z 2025-08-26T21:46:18.4284735Z Running test_hop_infra 1/1 ... [2025-08-26 21:46:18.427792] 2025-08-26T21:46:18.4285554Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:18.4289615Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_hop_infra.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 21:46:18.428455] 2025-08-26T21:46:22.3521638Z 2025-08-26T21:46:22.3523307Z test_hop_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hop_infra_1.1_f9c2099fccb6416e_.log 2025-08-26T21:46:22.3524548Z Running 0 items in this shard: 2025-08-26T21:46:22.3525611Z 2025-08-26T21:46:22.3529584Z Running test_import_stats 1/1 ... [2025-08-26 21:46:22.352453] 2025-08-26T21:46:22.3530384Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:22.3536650Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_import_stats.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 21:46:22.353021] 2025-08-26T21:46:25.5752466Z 2025-08-26T21:46:25.5753896Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_8d68a98835ae5f89_.log 2025-08-26T21:46:25.5755254Z Running 0 items in this shard: 2025-08-26T21:46:25.5755576Z 2025-08-26T21:46:25.5758976Z Running test_itt 1/1 ... [2025-08-26 21:46:25.575274] 2025-08-26T21:46:25.5759583Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:25.5764247Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_itt.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 21:46:25.575913] 2025-08-26T21:46:28.8478654Z 2025-08-26T21:46:28.8479897Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_2081b9f105589b25_.log 2025-08-26T21:46:28.8480941Z Running 0 items in this shard: 2025-08-26T21:46:28.8481247Z 2025-08-26T21:46:28.8485819Z Running test_license 1/1 ... [2025-08-26 21:46:28.848059] 2025-08-26T21:46:28.8486564Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:28.8491781Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_license.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 21:46:28.848674] 2025-08-26T21:46:32.2217833Z 2025-08-26T21:46:32.2219274Z test_license 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_license_1.1_d695dab6bb273c15_.log 2025-08-26T21:46:32.2220542Z Running 0 items in this shard: 2025-08-26T21:46:32.2220879Z 2025-08-26T21:46:32.2225920Z Running test_logging 1/1 ... [2025-08-26 21:46:32.222061] 2025-08-26T21:46:32.2226659Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:32.2231684Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', '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 21:46:32.222601] 2025-08-26T21:46:35.4954620Z 2025-08-26T21:46:35.4956647Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_ced6d2450453e146_.log 2025-08-26T21:46:35.4957919Z Running 0 items in this shard: 2025-08-26T21:46:35.4958275Z 2025-08-26T21:46:35.4960483Z Running test_masked 1/1 ... [2025-08-26 21:46:35.495554] 2025-08-26T21:46:35.4960902Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:35.4963820Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_masked.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 21:46:35.496141] 2025-08-26T21:46:40.0204775Z 2025-08-26T21:46:40.0206031Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_6e794d7580fd9110_.log 2025-08-26T21:46:40.0206942Z Running 0 items in this shard: 2025-08-26T21:46:40.0207121Z 2025-08-26T21:46:40.0209118Z Running test_mkldnn_verbose 1/1 ... [2025-08-26 21:46:40.020500] 2025-08-26T21:46:40.0209505Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:40.0214735Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkldnn_verbose.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 21:46:40.021045] 2025-08-26T21:46:43.2934265Z 2025-08-26T21:46:43.2935693Z test_mkldnn_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_verbose_1.1_d0f306a557752e23_.log 2025-08-26T21:46:43.2937693Z Running 0 items in this shard: 2025-08-26T21:46:43.2937988Z 2025-08-26T21:46:43.2941780Z Running test_native_functions 1/1 ... [2025-08-26 21:46:43.293678] 2025-08-26T21:46:43.2942495Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:43.2947956Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_functions.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 21:46:43.294233] 2025-08-26T21:46:46.5665468Z 2025-08-26T21:46:46.5666767Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_9e471b1862a103c5_.log 2025-08-26T21:46:46.5667912Z Running 0 items in this shard: 2025-08-26T21:46:46.5668367Z 2025-08-26T21:46:46.5670962Z Running test_numa_binding 1/1 ... [2025-08-26 21:46:46.566693] 2025-08-26T21:46:46.5671696Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:46.5678898Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numa_binding.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 21:46:46.567254] 2025-08-26T21:46:49.8396551Z 2025-08-26T21:46:49.8405163Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_b83ea97d6c5feb83_.log 2025-08-26T21:46:49.8405836Z Running 0 items in this shard: 2025-08-26T21:46:49.8405988Z 2025-08-26T21:46:49.8406152Z Running test_ops_fwd_gradients 1/2 ... [2025-08-26 21:46:49.839618] 2025-08-26T21:46:49.8406469Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:49.8407249Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'serial', '--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 21:46:49.840227] 2025-08-26T21:46:54.9660331Z 2025-08-26T21:46:54.9661979Z test_ops_fwd_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.2_406a3ac7175f4c5c_.log 2025-08-26T21:46:54.9663361Z Running 0 items in this shard: 2025-08-26T21:46:54.9664436Z 2025-08-26T21:46:57.5061244Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:46:57.5063791Z import pkg_resources 2025-08-26T21:46:57.5115611Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:46:57.5118107Z import pkg_resources 2025-08-26T21:46:57.9689560Z Running inductor/test_halide 1/1 ... [2025-08-26 21:46:57.968538] 2025-08-26T21:46:57.9690363Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:57.9693225Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.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 21:46:57.968894] 2025-08-26T21:46:57.9959093Z Running dynamo/test_nested_graph_breaks 1/1 ... [2025-08-26 21:46:57.995546] 2025-08-26T21:46:57.9959941Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:46:57.9963305Z Executing ['/opt/conda/envs/py_3.10/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 21:46:57.995882] 2025-08-26T21:47:02.8921862Z 2025-08-26T21:47:02.8922904Z 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_b6d2b2cab8552786_.log 2025-08-26T21:47:02.8928417Z Running 13 items in this shard: test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_cells, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_differing_arg_nums, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_differing_locals_nums, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_doubly_nested_graph_break, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_inactive_ctx_manager, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_nested_graph_break_in_loop, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_no_recompiles, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_side_effects_cells, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_side_effects_globals, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_side_effects_globals_different_module, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_single_graph_break, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_single_graph_break_repeat, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_supported_ctx_manager 2025-08-26T21:47:02.8932855Z 2025-08-26T21:47:02.8933016Z Running inductor/test_xpu_basic 1/1 ... [2025-08-26 21:47:02.892251] 2025-08-26T21:47:02.8933332Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:47:02.8934106Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_xpu_basic.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 21:47:02.892548] 2025-08-26T21:47:03.9337312Z 2025-08-26T21:47:03.9338546Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_88532055ece909ad_.log 2025-08-26T21:47:03.9340094Z 2025-08-26T21:47:03.9342613Z Running test_stateless 1/1 ... [2025-08-26 21:47:03.933927] 2025-08-26T21:47:03.9343402Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:47:03.9350266Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_stateless.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 21:47:03.934448] 2025-08-26T21:47:08.6662003Z 2025-08-26T21:47:08.6662932Z inductor/test_xpu_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_xpu_basic_1.1_1ee4e52745a5e32a_.log 2025-08-26T21:47:08.6663493Z 2025-08-26T21:47:08.6665045Z Running optim/test_swa_utils 1/1 ... [2025-08-26 21:47:08.665845] 2025-08-26T21:47:08.6665461Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:47:08.6666463Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_swa_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 21:47:08.666192] 2025-08-26T21:47:11.7408569Z 2025-08-26T21:47:11.7409980Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_c0b23213cca5aa54_.log 2025-08-26T21:47:11.7411925Z 2025-08-26T21:47:11.7412329Z Running test_futures 1/1 ... [2025-08-26 21:47:11.740390] 2025-08-26T21:47:11.7413005Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:47:11.7414778Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_futures.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 21:47:11.740770] 2025-08-26T21:47:11.9673799Z 2025-08-26T21:47:11.9674969Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_568c5ebac65dded9_.log 2025-08-26T21:47:11.9691462Z Running 50 items in this shard: test/test_stateless.py::TestStatelessFunctionalAPI::test_circular_references_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_circular_references_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_batch_norm_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_batch_norm_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_member_reference_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_member_reference_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_multiple_dicts_error, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_tuple_dicts, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_error_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_error_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_gradient_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_gradient_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_jit_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_jit_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_kwargs_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_kwargs_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_in_place_operator_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_in_place_operator_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_module_fail_reset_to_original_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_module_fail_reset_to_original_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_some_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_some_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_special_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_special_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_some_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_some_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrized_module_change_parametrization_original_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrized_module_change_parametrization_original_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_errors_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_errors_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_no_error_without_flag, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_warns_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_warns_torch_func, test/test_stateless.py::TestStatelessDeprecation::test_private_stateless_warns, test/test_stateless.py::TestStatelessDeprecation::test_stateless_functional_call_warns, test/test_stateless.py::TestPythonOptimizeMode::test_runs_with_optimize_flag 2025-08-26T21:47:11.9704941Z 2025-08-26T21:47:11.9705073Z Running test_hop_infra 1/1 ... [2025-08-26 21:47:11.967438] 2025-08-26T21:47:11.9705365Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:47:11.9706167Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_hop_infra.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 21:47:11.968039] 2025-08-26T21:47:15.9645295Z 2025-08-26T21:47:15.9645940Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_3133ff59f8c5b98b_.log 2025-08-26T21:47:15.9654586Z Running 22 items in this shard: test/test_futures.py::TestFuture::test_add_done_callback_error_is_ignored, test/test_futures.py::TestFuture::test_add_done_callback_maintains_callback_order, test/test_futures.py::TestFuture::test_add_done_callback_no_arg_error_is_ignored, test/test_futures.py::TestFuture::test_add_done_callback_simple, test/test_futures.py::TestFuture::test_chained_then, test/test_futures.py::TestFuture::test_collect_all, test/test_futures.py::TestFuture::test_done, test/test_futures.py::TestFuture::test_done_exception, test/test_futures.py::TestFuture::test_interleaving_then_and_add_done_callback_maintains_callback_order, test/test_futures.py::TestFuture::test_interleaving_then_and_add_done_callback_propagates_error, test/test_futures.py::TestFuture::test_mark_future_twice, test/test_futures.py::TestFuture::test_pickle_future, test/test_futures.py::TestFuture::test_set_exception, test/test_futures.py::TestFuture::test_set_exception_multithreading, test/test_futures.py::TestFuture::test_then, test/test_futures.py::TestFuture::test_then_no_arg, test/test_futures.py::TestFuture::test_then_raise, test/test_futures.py::TestFuture::test_then_wrong_arg, test/test_futures.py::TestFuture::test_wait, test/test_futures.py::TestFuture::test_wait_all, test/test_futures.py::TestFuture::test_wait_multi_thread, test/test_futures.py::TestFuture::test_wait_none 2025-08-26T21:47:15.9659206Z 2025-08-26T21:47:15.9659382Z Running test_import_stats 1/1 ... [2025-08-26 21:47:15.964515] 2025-08-26T21:47:15.9659765Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:47:15.9660706Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_import_stats.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 21:47:15.964826] 2025-08-26T21:47:15.9916762Z 2025-08-26T21:47:15.9918155Z test_hop_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hop_infra_1.1_8c22139f51b750be_.log 2025-08-26T21:47:15.9920653Z Running 3 items in this shard: test/test_hop_infra.py::TestHOPInfra::test_all_hops_are_imported, test/test_hop_infra.py::TestHOPInfra::test_all_hops_have_opinfo, test/test_hop_infra.py::TestHOPInfra::test_imports_from_all_work 2025-08-26T21:47:15.9922657Z 2025-08-26T21:47:15.9922944Z Running test_itt 1/1 ... [2025-08-26 21:47:15.991715] 2025-08-26T21:47:15.9923596Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:47:15.9925591Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_itt.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 21:47:15.992231] 2025-08-26T21:47:19.5148763Z 2025-08-26T21:47:19.5149967Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_a0204c2980bfed5b_.log 2025-08-26T21:47:19.5151334Z Running 1 items in this shard: test/test_itt.py::TestItt::test_itt 2025-08-26T21:47:19.5155302Z 2025-08-26T21:47:19.5155747Z Running test_license 1/1 ... [2025-08-26 21:47:19.514927] 2025-08-26T21:47:19.5156492Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:47:19.5160856Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_license.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 21:47:19.515521] 2025-08-26T21:47:22.4431147Z 2025-08-26T21:47:22.4433293Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_cabf4c92d7c9fbac_.log 2025-08-26T21:47:22.4435493Z Running 2 items in this shard: test/test_import_stats.py::TestImportTime::test_time_cuda_device_count, test/test_import_stats.py::TestImportTime::test_time_import_torch 2025-08-26T21:47:22.4436676Z 2025-08-26T21:47:22.4436971Z Running test_logging 1/1 ... [2025-08-26 21:47:22.442719] 2025-08-26T21:47:22.4437642Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:47:22.4439449Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', '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 21:47:22.443319] 2025-08-26T21:47:22.9884457Z 2025-08-26T21:47:22.9885200Z test_license 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_license_1.1_459255a9c58ca090_.log 2025-08-26T21:47:22.9886048Z Running 2 items in this shard: test/test_license.py::TestLicense::test_distinfo_license, test/test_license.py::TestLicense::test_license_for_wheel 2025-08-26T21:47:22.9886513Z 2025-08-26T21:47:22.9886645Z Running test_masked 1/1 ... [2025-08-26 21:47:22.988508] 2025-08-26T21:47:22.9886928Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:47:22.9889691Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_masked.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 21:47:22.988824] 2025-08-26T21:47:27.6195684Z 2025-08-26T21:47:27.6197347Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_dc3dc0fbd5bfa0a2_.log 2025-08-26T21:47:27.6198923Z Running 1 items in this shard: test/test_logging.py::LoggingTest::testApiUsage 2025-08-26T21:47:27.6199542Z 2025-08-26T21:47:27.6199908Z Running test_mkldnn_verbose 1/1 ... [2025-08-26 21:47:27.619450] 2025-08-26T21:47:27.6200628Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:47:27.6203377Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkldnn_verbose.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 21:47:27.620039] 2025-08-26T21:47:33.7971182Z 2025-08-26T21:47:33.7972014Z test_mkldnn_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_verbose_1.1_94c43a0256febae4_.log 2025-08-26T21:47:33.7973523Z Running 2 items in this shard: test/test_mkldnn_verbose.py::TestMKLDNNVerbose::test_verbose_off, test/test_mkldnn_verbose.py::TestMKLDNNVerbose::test_verbose_on 2025-08-26T21:47:33.7974094Z 2025-08-26T21:47:33.7974278Z Running test_native_functions 1/1 ... [2025-08-26 21:47:33.796629] 2025-08-26T21:47:33.7974684Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:47:33.7975648Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_functions.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 21:47:33.796956] 2025-08-26T21:47:37.4202477Z 2025-08-26T21:47:37.4203659Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_33b0ac16f8316268_.log 2025-08-26T21:47:37.4210106Z Running 11 items in this shard: test/test_native_functions.py::TestNativeFunctions::test_intlist_error_with_overload, test/test_native_functions.py::TestNativeFunctions::test_optional_filled_intlist, test/test_native_functions.py::TestNativeFunctions::test_optional_floatlist, test/test_native_functions.py::TestNativeFunctions::test_optional_floatlist_invalid, test/test_native_functions.py::TestNativeFunctions::test_optional_intlist, test/test_native_functions.py::TestNativeFunctions::test_optional_intlist_invalid, test/test_native_functions.py::TestNativeFunctions::test_string_defaults, test/test_native_functions.py::TestNativeFunctions::test_symintlist_error, test/test_native_functions.py::TestNativeFunctions::test_symintlist_error_with_overload, test/test_native_functions.py::TestNativeFunctions::test_symintlist_error_with_overload_but_is_unique, test/test_native_functions.py::TestNativeFunctions::test_vararg_symintlist_error 2025-08-26T21:47:37.4215582Z 2025-08-26T21:47:37.4215904Z Running test_numa_binding 1/1 ... [2025-08-26 21:47:37.419802] 2025-08-26T21:47:37.4216612Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:47:37.4218650Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numa_binding.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 21:47:37.420360] 2025-08-26T21:47:44.7524938Z 2025-08-26T21:47:44.7526347Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_ec5b4785216e2d1c_.log 2025-08-26T21:47:44.7538729Z Running 20 items in this shard: test/test_numa_binding.py::NumaBindingTest::test_binds_to_node_0_if_node_stored_as_minus_one, test/test_numa_binding.py::NumaBindingTest::test_callable_entrypoint_basic, test/test_numa_binding.py::NumaBindingTest::test_core_complex_numa_binding_with_extra_l3, test/test_numa_binding.py::NumaBindingTest::test_core_complex_numa_binding_with_fewer_l3_than_gpu, test/test_numa_binding.py::NumaBindingTest::test_core_complex_prefers_caches_with_more_cpus, test/test_numa_binding.py::NumaBindingTest::test_core_complex_tiebreak_prefers_lower_cache_key, test/test_numa_binding.py::NumaBindingTest::test_default_numa_binding, test/test_numa_binding.py::NumaBindingTest::test_exclusive_numa_binding, test/test_numa_binding.py::NumaBindingTest::test_exclusive_raises_if_too_few_physical_cores, test/test_numa_binding.py::NumaBindingTest::test_explicit_numa_options_overrides_default, test/test_numa_binding.py::NumaBindingTest::test_fallback, test/test_numa_binding.py::NumaBindingTest::test_get_range_str_from_ints, test/test_numa_binding.py::NumaBindingTest::test_get_set_of_int_from_ranges_str, test/test_numa_binding.py::NumaBindingTest::test_no_numa_binding_if_numa_options_not_provided, test/test_numa_binding.py::NumaBindingTest::test_node_numa_binding, test/test_numa_binding.py::NumaBindingTest::test_nproc_must_equal_cuda_device_count_to_use_default_numa_options, test/test_numa_binding.py::NumaBindingTest::test_parallel_start_does_not_call_get_default_numa_options, test/test_numa_binding.py::NumaBindingTest::test_raises_if_binding_to_empty_set, test/test_numa_binding.py::NumaBindingTest::test_socket_numa_binding_with_multiple_numa_per_socket, test/test_numa_binding.py::NumaBindingTest::test_socket_numa_binding_with_single_numa_per_socket 2025-08-26T21:47:44.7551096Z 2025-08-26T21:47:44.7551452Z Running test_ops_fwd_gradients 1/2 ... [2025-08-26 21:47:44.751818] 2025-08-26T21:47:44.7552176Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:47:44.7554024Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'not serial', '--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 21:47:44.752356] 2025-08-26T21:47:52.1625798Z 2025-08-26T21:47:52.1626882Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_eedd9fd504faffcf_.log 2025-08-26T21:47:52.1676575Z Running 194 items in this shard: test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amax_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amax_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amax_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amax_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amax_cuda_int16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amax_cuda_int32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amax_cuda_int64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amax_cuda_int8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amax_cuda_uint8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amin_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amin_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amin_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amin_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amin_cuda_int16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amin_cuda_int32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amin_cuda_int64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amin_cuda_int8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_amin_cuda_uint8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_mean_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_mean_cuda_complex128, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_mean_cuda_complex64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_mean_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_mean_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_mean_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_prod_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_prod_cuda_bool, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_prod_cuda_complex128, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_prod_cuda_complex64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_prod_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_prod_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_prod_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_prod_cuda_int16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_prod_cuda_int32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_prod_cuda_int64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_prod_cuda_int8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_prod_cuda_uint8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_sum_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_sum_cuda_bool, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_sum_cuda_complex128, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_sum_cuda_complex64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_sum_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_sum_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_sum_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_sum_cuda_int16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_sum_cuda_int32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_sum_cuda_int64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_sum_cuda_int8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_coo_masked_sum_cuda_uint8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amax_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amax_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amax_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amax_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amax_cuda_int16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amax_cuda_int32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amax_cuda_int64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amax_cuda_int8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amax_cuda_uint8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amin_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amin_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amin_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amin_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amin_cuda_int16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amin_cuda_int32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amin_cuda_int64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amin_cuda_int8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_amin_cuda_uint8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_mean_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_mean_cuda_complex128, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_mean_cuda_complex64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_mean_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_mean_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_mean_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_prod_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_prod_cuda_bool, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_prod_cuda_complex128, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_prod_cuda_complex64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_prod_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_prod_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_prod_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_prod_cuda_int16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_prod_cuda_int32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_prod_cuda_int64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_prod_cuda_int8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_prod_cuda_uint8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_sum_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_sum_cuda_bool, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_sum_cuda_complex128, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_sum_cuda_complex64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_sum_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_sum_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_sum_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_sum_cuda_int16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_sum_cuda_int32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_sum_cuda_int64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_sum_cuda_int8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_sparse_csr_masked_sum_cuda_uint8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amax_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amax_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amax_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amax_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amax_cuda_int16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amax_cuda_int32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amax_cuda_int64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amax_cuda_int8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amax_cuda_uint8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amin_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amin_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amin_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amin_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amin_cuda_int16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amin_cuda_int32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amin_cuda_int64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amin_cuda_int8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_amin_cuda_uint8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_mean_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_mean_cuda_complex128, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_mean_cuda_complex64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_mean_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_mean_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_mean_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_prod_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_prod_cuda_bool, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_prod_cuda_complex128, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_prod_cuda_complex64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_prod_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_prod_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_prod_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_prod_cuda_int16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_prod_cuda_int32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_prod_cuda_int64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_prod_cuda_int8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_prod_cuda_uint8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_sum_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_sum_cuda_bool, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_sum_cuda_complex128, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_sum_cuda_complex64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_sum_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_sum_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_sum_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_sum_cuda_int16, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_sum_cuda_int32, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_sum_cuda_int64, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_sum_cuda_int8, test/test_masked.py::TestMaskedCUDA::test_mask_layout_strided_masked_sum_cuda_uint8, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_log_softmax_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_log_softmax_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_log_softmax_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_log_softmax_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_norm_cuda_bfloat16, 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test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_softmax_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_softmax_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_softmin_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_softmin_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_softmin_cuda_float32, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_softmin_cuda_float64, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_std_cuda_bfloat16, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_std_cuda_complex128, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_std_cuda_complex64, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_std_cuda_float16, test/test_masked.py::TestMaskedCUDA::test_reference_masked_masked_std_cuda_float32, 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2025-08-26T21:56:52.6492726Z test_ops_fwd_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.2_75ff6d2b531b0328_.log 2025-08-26T21:56:52.7081961Z Running 1616 items in this shard: test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_H_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_T_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___getitem___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___radd___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___radd___cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rmatmul___cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad___rmod___cuda_float64, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_select_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_std_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_std_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_sum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_var_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_masked_var_cuda_float64, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tril_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_tril_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_triu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_true_divide_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_true_divide_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unbind_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unbind_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unflatten_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unfold_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_fn_fwgrad_bwgrad_unfold_cuda_complex128, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_asin_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_asinh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atleast_2d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_atleast_2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_baddbmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bfloat16_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_block_diag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bool_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_bucketize_cuda_float64, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cumulative_trapezoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diag_embed_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagflat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagflat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagonal_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagonal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diagonal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_diff_cuda_complex128, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_factor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_factor_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_lu_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_power_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_power_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_rank_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_linalg_matrix_rank_hermitian_cuda_complex128, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_median_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_scatter_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_select_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_softmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_sum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_masked_var_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_matrix_exp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_matrix_exp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_max_binary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_max_reduction_with_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_maximum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_meshgrid_list_of_tensors_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_min_binary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_min_reduction_with_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_minimum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mode_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_movedim_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_msort_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mul_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_multinomial_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mvlgamma_mvlgamma_p_1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_mvlgamma_mvlgamma_p_5_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nanmean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nanmedian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_narrow_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_narrow_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_native_dropout_backward_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_native_layer_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ne_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_neg_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_empty_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_empty_strided_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_ones_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_zeros_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_new_zeros_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_avg_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_max_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_adaptive_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_alpha_dropout_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_avg_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_avg_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_batch_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_celu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_channel_shuffle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv1d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv3d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv_transpose3d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_conv_transpose3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_cosine_embedding_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_cosine_similarity_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_dropout2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_dropout3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_dropout_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_fractional_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_gaussian_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hardsigmoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_hardtanh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_instance_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_nearest-exact_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_interpolate_nearest_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_l1_loss_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_linear_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_linear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_local_response_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool1d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_max_unpool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_mish_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_multi_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_multilabel_soft_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_normalize_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_circular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_constant_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_reflect_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pad_reflect_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pairwise_distance_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pixel_shuffle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pixel_shuffle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_pixel_unshuffle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_poisson_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_prelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_relu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_rms_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_rrelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_selu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_silu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_smooth_l1_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_soft_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softmin_with_dtype_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softmin_with_dtype_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_softplus_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_tanhshrink_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_tanhshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_triplet_margin_loss_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_triplet_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_unfold_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_unfold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nn_functional_upsample_bilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nonzero_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nonzero_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_nonzero_static_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_fro_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_inf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_norm_nuc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_normal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_normal_in_place_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ones_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ones_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ones_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ormqr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_ormqr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_pca_lowrank_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_permute_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_permute_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_polar_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_polygamma_polygamma_n_1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_positive_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_pow_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_put_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_qr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_quantile_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rad2deg_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_rand_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_randn_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_real_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_real_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reciprocal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_remainder_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_renorm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_repeat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_repeat_interleave_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_repeat_interleave_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reshape_as_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_reshape_as_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resize_as__cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resolve_conj_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_resolve_neg_cuda_complex128, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_reduce_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_scatter_reduce_sum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_select_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sgn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_short_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_short_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sigmoid_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sign_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_bartlett_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_exponential_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_gaussian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_general_cosine_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_hann_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_kaiser_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_signal_windows_nuttall_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sin_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sinc_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sinc_cuda_float64, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_std_unbiased_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_stft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sub_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_sum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_t_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_t_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_t_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_take_along_dim_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_take_along_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_take_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_take_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tan_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tanh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tensor_split_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_tile_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_to_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_to_sparse_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_to_sparse_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_topk_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_trace_cuda_complex128, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unbind_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unflatten_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unfold_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unfold_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unfold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_uniform_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unique_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unsafe_split_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_unsqueeze_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_var_cuda_complex128, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_acos_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_acosh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_acosh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addbmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addbmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addcmul_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmm_decomposed_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addmm_decomposed_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_addr_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_allclose_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_amax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_aminmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_angle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_any_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_argsort_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_as_strided_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_asinh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atanh_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_2d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_atleast_3d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_baddbmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bernoulli_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_block_diag_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bmm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bmm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bool_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_broadcast_to_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_bucketize_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_byte_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_byte_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cauchy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cdouble_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cfloat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_chalf_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_char_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_char_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_inverse_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cholesky_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_chunk_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_clone_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_combinations_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_complex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_conj_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_conj_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_conj_physical_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_conj_physical_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_contiguous_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_copysign_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cosh_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_count_nonzero_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cov_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cross_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumprod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumsum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumulative_trapezoid_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_cumulative_trapezoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_deg2rad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diag_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diag_embed_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagflat_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_diagonal_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_digamma_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dist_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_div_no_rounding_mode_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_div_no_rounding_mode_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_div_trunc_rounding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_double_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_double_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dsplit_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_dsplit_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_einsum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_einsum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_permuted_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_empty_permuted_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_eq_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_erfinv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_exp2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_exp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expand_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expand_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expm1_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_expm1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_eye_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_eye_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_fftshift_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_hfftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifft2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifftn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ifftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_ihfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_irfft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_rfft2_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fft_rfftn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fill_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flatten_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flip_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fliplr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_flipud_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_float_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_fmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_frac_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_full_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_full_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ge_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_geqrf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gradient_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_gt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_half_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_half_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hash_tensor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_heaviside_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_histc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hsplit_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hstack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hstack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_hypot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_i0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_igammac_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_fill_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_fill_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_put_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_put_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_reduce_amin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_reduce_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_index_select_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isclose_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isinf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isnan_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_isposinf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_item_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_4inputs_with_extra_args_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_jiterator_binary_return_by_ref_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ldexp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_le_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lerp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lerp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lgamma_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cholesky_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cholesky_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cholesky_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cond_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cond_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_cross_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_det_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_diagonal_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_diagonal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_eigvals_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_householder_product_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_householder_product_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_inv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_inv_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_factor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_factor_ex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_factor_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_ldl_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lstsq_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lstsq_grad_oriented_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lstsq_grad_oriented_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_factor_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_factor_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_factor_ex_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_lu_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_power_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_power_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_rank_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_rank_hermitian_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_matrix_rank_hermitian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_multi_dot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_norm_subgradients_at_zero_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_norm_subgradients_at_zero_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_pinv_singular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_slogdet_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_slogdet_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_triangular_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_solve_triangular_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_svd_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_svd_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_tensorinv_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_tensorinv_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_tensorsolve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vander_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vecdot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linalg_vector_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_linspace_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log10_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log2_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_normal_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_softmax_with_dtype_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_log_softmax_with_dtype_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logcumsumexp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logcumsumexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logical_and_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logspace_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logspace_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logspace_tensor_overload_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logspace_tensor_overload_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logsumexp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_logsumexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_lu_unpack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mH_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mT_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_amax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_argmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_cumsum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_cumsum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_logsumexp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_median_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_normalize_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_prod_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_softmin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_std_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_sum_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_masked_var_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_matmul_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_matrix_exp_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_matrix_exp_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_maximum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_min_binary_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_min_reduction_no_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_min_reduction_with_dim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_minimum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_movedim_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_msort_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mul_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_5_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nan_to_num_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nanmean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nanmean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nanmedian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nanquantile_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_native_batch_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_native_layer_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ne_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_empty_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_empty_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_full_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_ones_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_ones_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_new_zeros_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_alpha_dropout_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_avg_pool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_avg_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_batch_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_batch_norm_without_cudnn_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_channel_shuffle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_channel_shuffle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv2d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv3d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose2d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_conv_transpose3d_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_ctc_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_dropout2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_dropout_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_elu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_embedding_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_fractional_max_pool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_gelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_glu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_grid_sample_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_group_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_huber_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_instance_norm_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_bilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_linear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_interpolate_trilinear_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_kl_div_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_l1_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_leaky_relu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_linear_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_logsigmoid_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_pool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_grad_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_multilabel_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_multilabel_soft_margin_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_nll_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_normalize_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_constant_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_replicate_negative_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pad_replicate_negative_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pdist_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_prelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_relu6_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_relu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_rms_norm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_rrelu_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_scaled_dot_product_attention_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_silu_complex_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_smooth_l1_loss_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_softsign_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_threshold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nn_functional_unfold_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_nonzero_static_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_fro_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_norm_inf_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_normal_number_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ones_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ones_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_outer_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pca_lowrank_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_permute_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_permute_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_permute_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pinverse_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polar_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_polygamma_polygamma_n_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_positive_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_positive_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_pow_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_put_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_qr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_quantile_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rand_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randint_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randint_like_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_randn_like_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ravel_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_ravel_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_remainder_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_renorm_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_repeat_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_repeat_interleave_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_repeat_interleave_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reshape_as_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reshape_as_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reshape_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_reshape_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resize__cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resize__cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resize_as__cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resolve_conj_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resolve_conj_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resolve_neg_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_resolve_neg_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_roll_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_roll_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rot90_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rot90_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_round_decimals_0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_round_decimals_3_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rsqrt_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_rsub_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_add_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_prod_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_scatter_reduce_sum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sgn_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_short_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_short_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sigmoid_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sign_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_bartlett_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_blackman_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_gaussian_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_general_cosine_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_hamming_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_signal_windows_nuttall_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sin_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sin_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sinc_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_slice_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_slice_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_slice_scatter_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_softmax_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_softmax_with_dtype_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_bessel_j0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_bessel_y1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_chebyshev_polynomial_u_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_chebyshev_polynomial_v_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_entr_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_erfcx_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_hermite_polynomial_h_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_i1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_legendre_polynomial_p_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_modified_bessel_i1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_modified_bessel_k0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_ndtri_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_polygamma_special_polygamma_n_0_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_special_scaled_modified_bessel_k1_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_list_args_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_list_args_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_with_sizes_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_split_with_sizes_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sqrt_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_squeeze_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_squeeze_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_squeeze_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_squeeze_multiple_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_stack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_std_mean_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_std_unbiased_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_std_unbiased_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_stft_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_stft_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sub_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_sum_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_svd_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_svd_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_svd_lowrank_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_svd_lowrank_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_t_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_t_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_take_along_dim_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tan_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tan_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tensordot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tensordot_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tile_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_to_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_to_sparse_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_topk_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_torch_ops_aten__safe_softmax_default_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trace_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_transpose_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_transpose_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_transpose_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_transpose_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trapz_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_triangular_solve_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_tril_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_true_divide_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_trunc_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unbind_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unflatten_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unfold_copy_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unfold_copy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unfold_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unfold_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unique_consecutive_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unsafe_chunk_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unsafe_chunk_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unsafe_split_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unsafe_split_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_unsqueeze_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_var_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_var_mean_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_var_mean_unbiased_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_var_mean_unbiased_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vdot_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_as_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_view_as_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vsplit_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vstack_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_vstack_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_where_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_xlogy_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zero__cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zero__cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zeros_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zeros_cuda_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_inplace_forward_mode_AD_zeros_like_cuda_complex128 2025-08-26T21:56:52.7533401Z 2025-08-26T21:56:52.7533630Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading 2025-08-26T21:56:52.7533997Z Uploading artifacts took 0.00 seconds 2025-08-26T21:56:53.4954780Z Running test batch 'tests to run' cost 5602.39 seconds 2025-08-26T21:56:55.1581235Z 2025-08-26T21:56:55.1581896Z real 93m28.024s 2025-08-26T21:56:55.1582340Z user 238m21.096s 2025-08-26T21:56:55.1582695Z sys 70m5.998s 2025-08-26T21:56:55.1595195Z + assert_git_not_dirty 2025-08-26T21:56:55.1603726Z + [[ linux-jammy-rocm-py3.10 != *rocm* ]] 2025-08-26T21:56:55.1609113Z + test_aten 2025-08-26T21:56:55.1610570Z + echo 'Running ATen tests with pytorch lib' 2025-08-26T21:56:55.1611220Z Running ATen tests with pytorch lib 2025-08-26T21:56:55.1611777Z + [[ -n '' ]] 2025-08-26T21:56:55.1612208Z + echo 'Running test with the build folder' 2025-08-26T21:56:55.1612822Z Running test with the build folder 2025-08-26T21:56:55.1613374Z + TEST_BASE_DIR=build/bin 2025-08-26T21:56:55.1614733Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10_hip.so build/bin 2025-08-26T21:56:55.1647222Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so build/bin 2025-08-26T21:56:55.1674276Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin 2025-08-26T21:56:55.1692803Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin 2025-08-26T21:56:55.1713731Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_hip.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so build/bin 2025-08-26T21:56:55.1725737Z + ls build/bin 2025-08-26T21:56:55.1764655Z BackoffTest 2025-08-26T21:56:55.1765154Z CMakeFiles 2025-08-26T21:56:55.1765582Z CTestTestfile.cmake 2025-08-26T21:56:55.1766036Z CppSignature_test 2025-08-26T21:56:55.1768938Z Dict_test 2025-08-26T21:56:55.1769210Z Dimname_test 2025-08-26T21:56:55.1769448Z FileStoreTest 2025-08-26T21:56:55.1769669Z HashStoreTest 2025-08-26T21:56:55.1769891Z IListRef_test 2025-08-26T21:56:55.1770105Z KernelFunction_test 2025-08-26T21:56:55.1770372Z List_test 2025-08-26T21:56:55.1770577Z MaybeOwned_test 2025-08-26T21:56:55.1770796Z NamedTensor_test 2025-08-26T21:56:55.1771034Z ProcessGroupGlooTest 2025-08-26T21:56:55.1771285Z StorageUtils_test 2025-08-26T21:56:55.1771512Z TCPStoreTest 2025-08-26T21:56:55.1771717Z apply_utils_test 2025-08-26T21:56:55.1771924Z atest 2025-08-26T21:56:55.1772152Z backend_fallback_test 2025-08-26T21:56:55.1772417Z basic 2025-08-26T21:56:55.1772870Z broadcast_test 2025-08-26T21:56:55.1773098Z c10_AllocatorConfig_test 2025-08-26T21:56:55.1773346Z c10_ArrayRef_test 2025-08-26T21:56:55.1773559Z c10_Bitset_test 2025-08-26T21:56:55.1773792Z c10_CompileTimeFunctionPointer_test 2025-08-26T21:56:55.1774096Z c10_ConstexprCrc_test 2025-08-26T21:56:55.1774333Z c10_DeadlockDetection_test 2025-08-26T21:56:55.1774580Z c10_DeviceGuard_test 2025-08-26T21:56:55.1774797Z c10_Device_test 2025-08-26T21:56:55.1775011Z c10_DispatchKeySet_test 2025-08-26T21:56:55.1775251Z c10_Enumerate_test 2025-08-26T21:56:55.1775452Z c10_Half_test 2025-08-26T21:56:55.1775689Z c10_InlineDeviceGuard_test 2025-08-26T21:56:55.1775934Z c10_InlineStreamGuard_test 2025-08-26T21:56:55.1776174Z c10_IntrusiveList_test 2025-08-26T21:56:55.1776396Z c10_LeftRight_test 2025-08-26T21:56:55.1776620Z c10_Metaprogramming_test 2025-08-26T21:56:55.1776857Z c10_NetworkFlow_test 2025-08-26T21:56:55.1777213Z c10_Scalar_test 2025-08-26T21:56:55.1777423Z c10_Semaphore_test 2025-08-26T21:56:55.1777639Z c10_SizesAndStrides_test 2025-08-26T21:56:55.1777878Z c10_StreamGuard_test 2025-08-26T21:56:55.1778092Z c10_SymInt_test 2025-08-26T21:56:55.1778296Z c10_Synchronized_test 2025-08-26T21:56:55.1778522Z c10_ThreadLocal_test 2025-08-26T21:56:55.1778736Z c10_TypeIndex_test 2025-08-26T21:56:55.1778947Z c10_TypeList_test 2025-08-26T21:56:55.1779157Z c10_TypeTraits_test 2025-08-26T21:56:55.1779378Z c10_accumulate_test 2025-08-26T21:56:55.1779591Z c10_bfloat16_test 2025-08-26T21:56:55.1779791Z c10_bit_cast_test 2025-08-26T21:56:55.1780003Z c10_complex_math_test 2025-08-26T21:56:55.1780229Z c10_complex_test 2025-08-26T21:56:55.1780430Z c10_cow_test 2025-08-26T21:56:55.1780627Z c10_error_test 2025-08-26T21:56:55.1780835Z c10_exception_test 2025-08-26T21:56:55.1781039Z c10_flags_test 2025-08-26T21:56:55.1781246Z c10_generic_math_test 2025-08-26T21:56:55.1781489Z c10_hip_HIPAssertionsTest_1_var_test 2025-08-26T21:56:55.1781796Z c10_hip_HIPAssertionsTest_catches_stream 2025-08-26T21:56:55.1782159Z c10_hip_HIPAssertionsTest_catches_thread_and_block_and_device 2025-08-26T21:56:55.1782536Z c10_hip_HIPAssertionsTest_from_2_processes 2025-08-26T21:56:55.1782926Z c10_hip_HIPAssertionsTest_multiple_writes_from_blocks_and_threads 2025-08-26T21:56:55.1783509Z c10_hip_HIPAssertionsTest_multiple_writes_from_multiple_blocks 2025-08-26T21:56:55.1783924Z c10_hip_HIPAssertionsTest_multiple_writes_from_same_block 2025-08-26T21:56:55.1784249Z c10_hip_HIPTest 2025-08-26T21:56:55.1784479Z c10_intrusive_ptr_benchmark 2025-08-26T21:56:55.1784732Z c10_intrusive_ptr_test 2025-08-26T21:56:55.1785074Z c10_irange_test 2025-08-26T21:56:55.1785276Z c10_lazy_test 2025-08-26T21:56:55.1785478Z c10_logging_test 2025-08-26T21:56:55.1785679Z c10_optional_test 2025-08-26T21:56:55.1785912Z c10_ordered_preserving_dict_test 2025-08-26T21:56:55.1786162Z c10_registry_test 2025-08-26T21:56:55.1786364Z c10_small_vector_test 2025-08-26T21:56:55.1786578Z c10_ssize_test 2025-08-26T21:56:55.1786791Z c10_string_util_test 2025-08-26T21:56:55.1787009Z c10_string_view_test 2025-08-26T21:56:55.1787217Z c10_tempfile_test 2025-08-26T21:56:55.1787417Z c10_typeid_test 2025-08-26T21:56:55.1787621Z cmake_install.cmake 2025-08-26T21:56:55.1787934Z cpu_allocator_test 2025-08-26T21:56:55.1788536Z cpu_generator_test 2025-08-26T21:56:55.1788932Z cpu_profiling_allocator_test 2025-08-26T21:56:55.1789369Z cpu_rng_test 2025-08-26T21:56:55.1789719Z dlconvertor_test 2025-08-26T21:56:55.1790085Z example_allreduce 2025-08-26T21:56:55.1790458Z extension_backend_test 2025-08-26T21:56:55.1790848Z half_test 2025-08-26T21:56:55.1791186Z hip_apply_test 2025-08-26T21:56:55.1791540Z hip_complex_math_test 2025-08-26T21:56:55.1791919Z hip_complex_test 2025-08-26T21:56:55.1792293Z hip_distributions_test 2025-08-26T21:56:55.1792691Z hip_dlconvertor_test 2025-08-26T21:56:55.1793070Z hip_generator_test 2025-08-26T21:56:55.1793440Z hip_half_test 2025-08-26T21:56:55.1793817Z hip_integer_divider_test 2025-08-26T21:56:55.1794400Z hip_optional_test 2025-08-26T21:56:55.1794815Z hip_packedtensoraccessor_test 2025-08-26T21:56:55.1795267Z hip_vectorized_test 2025-08-26T21:56:55.1795648Z inline_container_test 2025-08-26T21:56:55.1796024Z ivalue_test 2025-08-26T21:56:55.1796389Z kernel_function_legacy_test 2025-08-26T21:56:55.1796822Z kernel_function_test 2025-08-26T21:56:55.1797219Z kernel_lambda_legacy_test 2025-08-26T21:56:55.1797630Z kernel_lambda_test 2025-08-26T21:56:55.1798010Z kernel_stackbased_test 2025-08-26T21:56:55.1798372Z lazy_tensor_test 2025-08-26T21:56:55.1798574Z legacy_vmap_test 2025-08-26T21:56:55.1798769Z libc10.so 2025-08-26T21:56:55.1798948Z libc10_hip.so 2025-08-26T21:56:55.1799148Z libcaffe2_nvrtc.so 2025-08-26T21:56:55.1799357Z 'libmkldnn*' 2025-08-26T21:56:55.1799553Z 'libnccl*' 2025-08-26T21:56:55.1799745Z libtorch.so 2025-08-26T21:56:55.1799949Z libtorch_cpu.so 2025-08-26T21:56:55.1800161Z libtorch_global_deps.so 2025-08-26T21:56:55.1800477Z libtorch_hip.so 2025-08-26T21:56:55.1800687Z libtorch_python.so 2025-08-26T21:56:55.1800894Z libtorchbind_test.so 2025-08-26T21:56:55.1801125Z make_boxed_from_unboxed_functor_test 2025-08-26T21:56:55.1801388Z math_kernel_test 2025-08-26T21:56:55.1801596Z memory_format_test 2025-08-26T21:56:55.1801817Z memory_overlapping_test 2025-08-26T21:56:55.1802050Z mobile_memory_cleanup 2025-08-26T21:56:55.1802259Z native_test 2025-08-26T21:56:55.1802455Z op_allowlist_test 2025-08-26T21:56:55.1802663Z op_registration_test 2025-08-26T21:56:55.1802880Z operator_name_test 2025-08-26T21:56:55.1803082Z operators_test 2025-08-26T21:56:55.1803307Z packedtensoraccessor_test 2025-08-26T21:56:55.1803577Z parallel_benchmark 2025-08-26T21:56:55.1803792Z pow_test 2025-08-26T21:56:55.1803989Z protoc 2025-08-26T21:56:55.1804184Z protoc-3.13.0.0 2025-08-26T21:56:55.1804392Z quantized_test 2025-08-26T21:56:55.1804600Z reduce_ops_test 2025-08-26T21:56:55.1804822Z reportMemoryUsage_test 2025-08-26T21:56:55.1805056Z scalar_tensor_test 2025-08-26T21:56:55.1805265Z scalar_test 2025-08-26T21:56:55.1805468Z static_runtime_bench 2025-08-26T21:56:55.1805684Z static_runtime_test 2025-08-26T21:56:55.1805908Z stride_properties_test 2025-08-26T21:56:55.1806137Z tensor_iterator_test 2025-08-26T21:56:55.1806442Z test_api 2025-08-26T21:56:55.1806633Z test_cpp_rpc 2025-08-26T21:56:55.1806831Z test_dist_autograd 2025-08-26T21:56:55.1807028Z test_jit 2025-08-26T21:56:55.1807209Z test_lazy 2025-08-26T21:56:55.1807395Z test_nativert 2025-08-26T21:56:55.1807587Z test_parallel 2025-08-26T21:56:55.1807914Z thread_init_test 2025-08-26T21:56:55.1808286Z torch_shm_manager 2025-08-26T21:56:55.1808798Z type_ptr_test 2025-08-26T21:56:55.1809141Z type_test 2025-08-26T21:56:55.1809488Z undefined_tensor_test 2025-08-26T21:56:55.1809895Z vec_test_all_types_AVX2 2025-08-26T21:56:55.1810318Z vec_test_all_types_AVX512 2025-08-26T21:56:55.1810743Z vec_test_all_types_DEFAULT 2025-08-26T21:56:55.1811175Z verify_api_visibility 2025-08-26T21:56:55.1811554Z weakref_test 2025-08-26T21:56:55.1811906Z wrapdim_test 2025-08-26T21:56:55.1812254Z xla_tensor_test 2025-08-26T21:56:55.1812654Z + aten/tools/run_tests.sh build/bin 2025-08-26T21:56:55.1813126Z + set -e 2025-08-26T21:56:55.1813997Z ++ dirname aten/tools/run_tests.sh 2025-08-26T21:56:55.1829721Z + VALGRIND_SUP=/var/lib/jenkins/pytorch/aten/tools/valgrind.sup 2025-08-26T21:56:55.1830542Z + export CPP_TESTS_DIR=build/bin 2025-08-26T21:56:55.1831018Z + CPP_TESTS_DIR=build/bin 2025-08-26T21:56:55.1831436Z + VALGRIND=OFF 2025-08-26T21:56:55.1834181Z + 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 2025-08-26T21:56:57.6043100Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:56:57.6045735Z import pkg_resources 2025-08-26T21:56:59.1440802Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/pytorch/test/.pytorch-disabled-tests.json 2025-08-26T21:56:59.1536970Z Found test times from artifacts 2025-08-26T21:56:59.1946134Z Found test times from artifacts 2025-08-26T21:56:59.1958126Z Running all tests 2025-08-26T21:56:59.1961613Z Running parallel tests on 2 processes 2025-08-26T21:56:59.1962292Z Name: tests to run (est. time: 0.0min) 2025-08-26T21:56:59.1962831Z Serial tests (0): 2025-08-26T21:56:59.1963298Z Parallel tests (19): 2025-08-26T21:56:59.1963752Z cpp/Dict_test 1/1 2025-08-26T21:56:59.1964779Z cpp/Dimname_test 1/1 2025-08-26T21:56:59.1965270Z cpp/NamedTensor_test 1/1 2025-08-26T21:56:59.1965778Z cpp/apply_utils_test 1/1 2025-08-26T21:56:59.1966238Z cpp/atest 1/1 2025-08-26T21:56:59.1966647Z cpp/basic 1/1 2025-08-26T21:56:59.1967060Z cpp/broadcast_test 1/1 2025-08-26T21:56:59.1967559Z cpp/cpu_generator_test 1/1 2025-08-26T21:56:59.1968083Z cpp/dlconvertor_test 1/1 2025-08-26T21:56:59.1968583Z cpp/extension_backend_test 1/1 2025-08-26T21:56:59.1969119Z cpp/lazy_tensor_test 1/1 2025-08-26T21:56:59.1969590Z cpp/legacy_vmap_test 1/1 2025-08-26T21:56:59.1970048Z cpp/native_test 1/1 2025-08-26T21:56:59.1970497Z cpp/operators_test 1/1 2025-08-26T21:56:59.1970970Z cpp/scalar_tensor_test 1/1 2025-08-26T21:56:59.1971432Z cpp/scalar_test 1/1 2025-08-26T21:56:59.1971882Z cpp/tensor_iterator_test 1/1 2025-08-26T21:56:59.1972390Z cpp/undefined_tensor_test 1/1 2025-08-26T21:56:59.1972889Z cpp/wrapdim_test 1/1 2025-08-26T21:56:59.1973376Z Name: excluded (est. time: 0.0min) 2025-08-26T21:56:59.1973880Z Serial tests (0): 2025-08-26T21:56:59.1974317Z Parallel tests (0): 2025-08-26T21:56:59.1974871Z Running cpp/Dict_test 1/1 ... [2025-08-26 21:56:59.196497] 2025-08-26T21:56:59.1975525Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:56:59.1977690Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-81d79c4b1be61a48.xml', '-x', '--reruns=2'] ... [2025-08-26 21:56:59.197008] 2025-08-26T21:56:59.9652439Z 2025-08-26T21:56:59.9653816Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_b1819aca59da3318_.log 2025-08-26T21:56:59.9654392Z 2025-08-26T21:56:59.9654645Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading 2025-08-26T21:56:59.9655096Z Uploading artifacts took 0.00 seconds 2025-08-26T21:56:59.9655463Z Running cpp/Dimname_test 1/1 ... [2025-08-26 21:56:59.964896] 2025-08-26T21:56:59.9655836Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:56:59.9657965Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-44158f54a9a3505f.xml', '-x', '--reruns=2'] ... [2025-08-26 21:56:59.965425] 2025-08-26T21:57:00.7322447Z 2025-08-26T21:57:00.7322930Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_983cba449ec90eea_.log 2025-08-26T21:57:00.7323412Z 2025-08-26T21:57:00.7323564Z Running cpp/NamedTensor_test 1/1 ... [2025-08-26 21:57:00.732138] 2025-08-26T21:57:00.7323882Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:00.7326981Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-eaf736354dbf6a00.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:00.732428] 2025-08-26T21:57:01.4994640Z 2025-08-26T21:57:01.4996290Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_6bf56920a268ea04_.log 2025-08-26T21:57:01.4997324Z 2025-08-26T21:57:01.4997640Z Running cpp/apply_utils_test 1/1 ... [2025-08-26 21:57:01.498775] 2025-08-26T21:57:01.4998281Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:01.5000069Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-b274026b32d6cbfd.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:01.499380] 2025-08-26T21:57:02.2671525Z 2025-08-26T21:57:02.2673594Z 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_d065633085e80222_.log 2025-08-26T21:57:02.2674672Z 2025-08-26T21:57:02.2674956Z Running cpp/atest 1/1 ... [2025-08-26 21:57:02.266662] 2025-08-26T21:57:02.2675525Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:02.2676586Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-98535a7cfe38fcf3.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:02.267295] 2025-08-26T21:57:03.0353471Z 2025-08-26T21:57:03.0354738Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_31ba87c07ae776b5_.log 2025-08-26T21:57:03.0355775Z 2025-08-26T21:57:03.0356053Z Running cpp/basic 1/1 ... [2025-08-26 21:57:03.034746] 2025-08-26T21:57:03.0356759Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:03.0358895Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-65e0cee04f2f0a40.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:03.035375] 2025-08-26T21:57:03.8031753Z 2025-08-26T21:57:03.8032654Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_13e7f15d64880899_.log 2025-08-26T21:57:03.8033701Z 2025-08-26T21:57:03.8033933Z Running cpp/broadcast_test 1/1 ... [2025-08-26 21:57:03.802672] 2025-08-26T21:57:03.8034410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:03.8035666Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-f249aa04cf292f01.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:03.803107] 2025-08-26T21:57:04.5707393Z 2025-08-26T21:57:04.5708910Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_bfd2f2c21754679b_.log 2025-08-26T21:57:04.5709872Z 2025-08-26T21:57:04.5710198Z Running cpp/cpu_generator_test 1/1 ... [2025-08-26 21:57:04.570019] 2025-08-26T21:57:04.5710983Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:04.5712982Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1394968fb737182d.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:04.570601] 2025-08-26T21:57:05.2892258Z 2025-08-26T21:57:05.2893173Z 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_37b9203cc656323e_.log 2025-08-26T21:57:05.2893825Z 2025-08-26T21:57:05.2894020Z Running cpp/dlconvertor_test 1/1 ... [2025-08-26 21:57:05.288094] 2025-08-26T21:57:05.2894418Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:05.2895782Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-305524d1eb0282e1.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:05.288636] 2025-08-26T21:57:06.0557168Z 2025-08-26T21:57:06.0558750Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_cfcd1ecd8fd9137b_.log 2025-08-26T21:57:06.0559936Z 2025-08-26T21:57:06.0560354Z Running cpp/extension_backend_test 1/1 ... [2025-08-26 21:57:06.055202] 2025-08-26T21:57:06.0561235Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:06.0563654Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-b3a4adc36840d4b9.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:06.055768] 2025-08-26T21:57:06.8233019Z 2025-08-26T21:57:06.8235061Z 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_c47092baa3427b89_.log 2025-08-26T21:57:06.8236250Z 2025-08-26T21:57:06.8236602Z Running cpp/lazy_tensor_test 1/1 ... [2025-08-26 21:57:06.822692] 2025-08-26T21:57:06.8237309Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:06.8238813Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-93c5561fdd4bdfa8.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:06.823176] 2025-08-26T21:57:07.6410421Z 2025-08-26T21:57:07.6412061Z 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_c8733628e989e6e2_.log 2025-08-26T21:57:07.6413169Z 2025-08-26T21:57:07.6413507Z Running cpp/legacy_vmap_test 1/1 ... [2025-08-26 21:57:07.640422] 2025-08-26T21:57:07.6414270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:07.6416131Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6a5cf7e142722717.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:07.640982] 2025-08-26T21:57:08.4091787Z 2025-08-26T21:57:08.4093473Z 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_419c9e574df76f77_.log 2025-08-26T21:57:08.4094760Z 2025-08-26T21:57:08.4095111Z Running cpp/native_test 1/1 ... [2025-08-26 21:57:08.408272] 2025-08-26T21:57:08.4096187Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:08.4098009Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-7a5a64aca46c796c.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:08.408775] 2025-08-26T21:57:09.1767449Z 2025-08-26T21:57:09.1768994Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_f9f1bedddafa67ec_.log 2025-08-26T21:57:09.1770007Z 2025-08-26T21:57:09.1770341Z Running cpp/operators_test 1/1 ... [2025-08-26 21:57:09.176099] 2025-08-26T21:57:09.1771025Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:09.1772918Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-20abe5d29d2e18f7.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:09.176447] 2025-08-26T21:57:09.9443154Z 2025-08-26T21:57:09.9444545Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_dddf1abcf2c21980_.log 2025-08-26T21:57:09.9445481Z 2025-08-26T21:57:09.9445813Z Running cpp/scalar_tensor_test 1/1 ... [2025-08-26 21:57:09.943674] 2025-08-26T21:57:09.9446811Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:09.9448394Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-7f3a4a082356f27a.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:09.944153] 2025-08-26T21:57:10.7123045Z 2025-08-26T21:57:10.7124717Z 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_576660b88365d97d_.log 2025-08-26T21:57:10.7125885Z 2025-08-26T21:57:10.7126265Z Running cpp/scalar_test 1/1 ... [2025-08-26 21:57:10.711162] 2025-08-26T21:57:10.7126965Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:10.7129413Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d9e1ed367567a4c8.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:10.711606] 2025-08-26T21:57:11.4791041Z 2025-08-26T21:57:11.4792453Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_271782504f0a1994_.log 2025-08-26T21:57:11.4793325Z 2025-08-26T21:57:11.4793658Z Running cpp/tensor_iterator_test 1/1 ... [2025-08-26 21:57:11.478294] 2025-08-26T21:57:11.4794269Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:11.4795989Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1287bc0c18baea52.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:11.478772] 2025-08-26T21:57:12.2464278Z 2025-08-26T21:57:12.2465507Z 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_112986ff1eb7a541_.log 2025-08-26T21:57:12.2466640Z 2025-08-26T21:57:12.2467080Z Running cpp/undefined_tensor_test 1/1 ... [2025-08-26 21:57:12.245845] 2025-08-26T21:57:12.2467801Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:12.2469829Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-9d2a32ddc4f4b058.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:12.246192] 2025-08-26T21:57:13.0145123Z 2025-08-26T21:57:13.0146170Z 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_b343eab949ecf564_.log 2025-08-26T21:57:13.0147581Z 2025-08-26T21:57:13.0147839Z Running cpp/wrapdim_test 1/1 ... [2025-08-26 21:57:13.013764] 2025-08-26T21:57:13.0148566Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:13.0150731Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-99dbb982e908ccfc.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:13.014234] 2025-08-26T21:57:13.7822011Z 2025-08-26T21:57:13.7823629Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_a1cf441f94440363_.log 2025-08-26T21:57:13.7824776Z 2025-08-26T21:57:16.2619884Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:57:16.2622505Z import pkg_resources 2025-08-26T21:57:16.2665760Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:57:16.2668591Z import pkg_resources 2025-08-26T21:57:16.7276345Z Running cpp/Dict_test 1/1 ... [2025-08-26 21:57:16.727129] 2025-08-26T21:57:16.7276738Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:16.7278768Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-0a3a38b9b8efef85.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:16.727587] 2025-08-26T21:57:16.7283865Z Running cpp/Dimname_test 1/1 ... [2025-08-26 21:57:16.727890] 2025-08-26T21:57:16.7284273Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:16.7287021Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-ad6e35bd2b0d34af.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:16.728326] 2025-08-26T21:57:17.4443144Z 2025-08-26T21:57:17.4443891Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_2f2866208e3d5e48_.log 2025-08-26T21:57:17.4444698Z 2025-08-26T21:57:17.4445025Z Running cpp/NamedTensor_test 1/1 ... [2025-08-26 21:57:17.444277] 2025-08-26T21:57:17.4445703Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:17.4451818Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-b500cbe86f390746.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:17.444764] 2025-08-26T21:57:17.4952191Z 2025-08-26T21:57:17.4953317Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_ee0c5d967b335622_.log 2025-08-26T21:57:17.4954339Z 2025-08-26T21:57:17.4955277Z Running cpp/apply_utils_test 1/1 ... [2025-08-26 21:57:17.495212] 2025-08-26T21:57:17.4955978Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:17.4958822Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/apply_utils_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-df88ede98b1b7cc1.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:17.495553] 2025-08-26T21:57:18.1625875Z 2025-08-26T21:57:18.1627158Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_0a8b2f23dba2f471_.log 2025-08-26T21:57:18.1628709Z 2025-08-26T21:57:18.1628956Z Running cpp/atest 1/1 ... [2025-08-26 21:57:18.162465] 2025-08-26T21:57:18.1629486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:18.1633334Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6437c8a3b2c9f719.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:18.163002] 2025-08-26T21:57:18.2116141Z 2025-08-26T21:57:18.2116535Z 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_fd9103acc8eb6316_.log 2025-08-26T21:57:18.2116989Z 2025-08-26T21:57:18.2117114Z Running cpp/basic 1/1 ... [2025-08-26 21:57:18.211565] 2025-08-26T21:57:18.2117379Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:18.2123796Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-959e3e34a7e05cc2.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:18.211907] 2025-08-26T21:57:18.8799968Z 2025-08-26T21:57:18.8800990Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_6252384b5de4a168_.log 2025-08-26T21:57:18.8801510Z 2025-08-26T21:57:18.8802226Z Running cpp/broadcast_test 1/1 ... [2025-08-26 21:57:18.879777] 2025-08-26T21:57:18.8802666Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:18.8804691Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2a2e79a062360f84.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:18.880240] 2025-08-26T21:57:18.9278985Z 2025-08-26T21:57:18.9279681Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_75990e26e22549ac_.log 2025-08-26T21:57:18.9280184Z 2025-08-26T21:57:18.9280380Z Running cpp/cpu_generator_test 1/1 ... [2025-08-26 21:57:18.927912] 2025-08-26T21:57:18.9280775Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:18.9286841Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/cpu_generator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-3c72c947979fb3a6.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:18.928256] 2025-08-26T21:57:19.5970656Z 2025-08-26T21:57:19.5971550Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_de456ec737edbf60_.log 2025-08-26T21:57:19.5972166Z 2025-08-26T21:57:19.5972364Z Running cpp/dlconvertor_test 1/1 ... [2025-08-26 21:57:19.596790] 2025-08-26T21:57:19.5972756Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:19.5974789Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c303c52103a1efa4.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:19.597158] 2025-08-26T21:57:19.6952018Z 2025-08-26T21:57:19.6953360Z 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_c20fe8595b3c1836_.log 2025-08-26T21:57:19.6954452Z 2025-08-26T21:57:19.6954809Z Running cpp/extension_backend_test 1/1 ... [2025-08-26 21:57:19.695055] 2025-08-26T21:57:19.6955459Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:19.6960800Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/extension_backend_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6dc8fe7c04ca54a1.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:19.695642] 2025-08-26T21:57:20.3154207Z 2025-08-26T21:57:20.3156367Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_44b52fd2b008a0e4_.log 2025-08-26T21:57:20.3157707Z 2025-08-26T21:57:20.3158118Z Running cpp/lazy_tensor_test 1/1 ... [2025-08-26 21:57:20.315159] 2025-08-26T21:57:20.3158992Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:20.3162032Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/lazy_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6f5803e1ef33c2cf.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:20.315704] 2025-08-26T21:57:20.4123950Z 2025-08-26T21:57:20.4125379Z 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_ee70bc66078cb303_.log 2025-08-26T21:57:20.4126638Z 2025-08-26T21:57:20.4126998Z Running cpp/legacy_vmap_test 1/1 ... [2025-08-26 21:57:20.412273] 2025-08-26T21:57:20.4127778Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:20.4130460Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/legacy_vmap_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6ff89000dd8e632e.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:20.412633] 2025-08-26T21:57:21.0827403Z 2025-08-26T21:57:21.0830207Z 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_0f53139967714232_.log 2025-08-26T21:57:21.0831359Z 2025-08-26T21:57:21.0831686Z Running cpp/native_test 1/1 ... [2025-08-26 21:57:21.082475] 2025-08-26T21:57:21.0832389Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:21.0834430Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-5dc6d7929ab5f70b.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:21.083031] 2025-08-26T21:57:21.1308815Z 2025-08-26T21:57:21.1310104Z 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_9cf75c11053415bd_.log 2025-08-26T21:57:21.1311227Z 2025-08-26T21:57:21.1311923Z Running cpp/operators_test 1/1 ... [2025-08-26 21:57:21.130430] 2025-08-26T21:57:21.1312655Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:21.1314684Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-546bc2376f5e8bba.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:21.130779] 2025-08-26T21:57:21.8984638Z 2025-08-26T21:57:21.8985990Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_0923f126960a9da9_.log 2025-08-26T21:57:21.8987130Z 2025-08-26T21:57:21.8987538Z Running cpp/scalar_tensor_test 1/1 ... [2025-08-26 21:57:21.897921] 2025-08-26T21:57:21.8988408Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:21.8990767Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/scalar_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-ce876fd0ed0a87a1.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:21.898526] 2025-08-26T21:57:21.9004666Z 2025-08-26T21:57:21.9005826Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_12378888f99a8c6b_.log 2025-08-26T21:57:21.9007421Z 2025-08-26T21:57:21.9007757Z Running cpp/scalar_test 1/1 ... [2025-08-26 21:57:21.900307] 2025-08-26T21:57:21.9008464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:21.9011087Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-a2e8ae88ddd6c228.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:21.900670] 2025-08-26T21:57:22.6179526Z 2025-08-26T21:57:22.6181739Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_56ad6aa1b5bbbb0e_.log 2025-08-26T21:57:22.6182818Z 2025-08-26T21:57:22.6183261Z Running cpp/tensor_iterator_test 1/1 ... [2025-08-26 21:57:22.617655] 2025-08-26T21:57:22.6184018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:22.6186951Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/tensor_iterator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-e444fc4188b82b68.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:22.618234] 2025-08-26T21:57:22.6660951Z 2025-08-26T21:57:22.6662209Z 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_4c11ea1cd79b7926_.log 2025-08-26T21:57:22.6663399Z 2025-08-26T21:57:22.6663802Z Running cpp/undefined_tensor_test 1/1 ... [2025-08-26 21:57:22.665913] 2025-08-26T21:57:22.6664554Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:22.6667469Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/undefined_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-8d9dc665f7d1eaa4.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:22.666256] 2025-08-26T21:57:23.3861850Z 2025-08-26T21:57:23.3863472Z 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_36902456b76c2097_.log 2025-08-26T21:57:23.3864472Z 2025-08-26T21:57:23.3864758Z Running cpp/wrapdim_test 1/1 ... [2025-08-26 21:57:23.385921] 2025-08-26T21:57:23.3865316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:23.3868848Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-beee68c1eb92d12f.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:23.386415] 2025-08-26T21:57:23.4336253Z 2025-08-26T21:57:23.4337827Z 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_7f5881cb41b059be_.log 2025-08-26T21:57:23.4338761Z 2025-08-26T21:57:24.2045733Z 2025-08-26T21:57:24.2046747Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_af19868d39a0fea3_.log 2025-08-26T21:57:24.2047358Z 2025-08-26T21:57:24.8275862Z Running test batch 'tests to run' cost 25.63 seconds 2025-08-26T21:57:25.4134679Z + run_if_exists tensor_interop_test 2025-08-26T21:57:25.4135264Z + local test_name=tensor_interop_test 2025-08-26T21:57:25.4135770Z + [[ -x build/bin/tensor_interop_test ]] 2025-08-26T21:57:25.4136345Z + echo 'Warning: tensor_interop_test does not exist.' 2025-08-26T21:57:25.4136918Z Warning: tensor_interop_test does not exist. 2025-08-26T21:57:25.4137482Z + run_if_exists cudnn_test 2025-08-26T21:57:25.4137956Z + local test_name=cudnn_test 2025-08-26T21:57:25.4138455Z + [[ -x build/bin/cudnn_test ]] 2025-08-26T21:57:25.4139024Z + echo 'Warning: cudnn_test does not exist.' 2025-08-26T21:57:25.4139609Z Warning: cudnn_test does not exist. 2025-08-26T21:57:25.4140136Z + run_if_exists cuda_generator_test 2025-08-26T21:57:25.4140652Z + local test_name=cuda_generator_test 2025-08-26T21:57:25.4141224Z + [[ -x build/bin/cuda_generator_test ]] 2025-08-26T21:57:25.4142386Z + echo 'Warning: cuda_generator_test does not exist.' 2025-08-26T21:57:25.4143041Z Warning: cuda_generator_test does not exist. 2025-08-26T21:57:25.4143605Z + run_if_exists apply_test 2025-08-26T21:57:25.4144074Z + local test_name=apply_test 2025-08-26T21:57:25.4144554Z + [[ -x build/bin/apply_test ]] 2025-08-26T21:57:25.4145330Z + echo 'Warning: apply_test does not exist.' 2025-08-26T21:57:25.4145893Z Warning: apply_test does not exist. 2025-08-26T21:57:25.4146398Z + run_if_exists stream_test 2025-08-26T21:57:25.4146864Z + local test_name=stream_test 2025-08-26T21:57:25.4147350Z + [[ -x build/bin/stream_test ]] 2025-08-26T21:57:25.4147876Z + echo 'Warning: stream_test does not exist.' 2025-08-26T21:57:25.4148740Z Warning: stream_test does not exist. 2025-08-26T21:57:25.4149284Z + run_if_exists cuda_half_test 2025-08-26T21:57:25.4149758Z + local test_name=cuda_half_test 2025-08-26T21:57:25.4150244Z + [[ -x build/bin/cuda_half_test ]] 2025-08-26T21:57:25.4150786Z + echo 'Warning: cuda_half_test does not exist.' 2025-08-26T21:57:25.4151374Z Warning: cuda_half_test does not exist. 2025-08-26T21:57:25.4151923Z + run_if_exists cuda_vectorized_test 2025-08-26T21:57:25.4152454Z + local test_name=cuda_vectorized_test 2025-08-26T21:57:25.4152992Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-08-26T21:57:25.4153611Z + echo 'Warning: cuda_vectorized_test does not exist.' 2025-08-26T21:57:25.4154265Z Warning: cuda_vectorized_test does not exist. 2025-08-26T21:57:25.4154843Z + run_if_exists cuda_distributions_test 2025-08-26T21:57:25.4155406Z + local test_name=cuda_distributions_test 2025-08-26T21:57:25.4155974Z + [[ -x build/bin/cuda_distributions_test ]] 2025-08-26T21:57:25.4156624Z + echo 'Warning: cuda_distributions_test does not exist.' 2025-08-26T21:57:25.4157521Z Warning: cuda_distributions_test does not exist. 2025-08-26T21:57:25.4158133Z + run_if_exists cuda_optional_test 2025-08-26T21:57:25.4158644Z + local test_name=cuda_optional_test 2025-08-26T21:57:25.4159169Z + [[ -x build/bin/cuda_optional_test ]] 2025-08-26T21:57:25.4159770Z + echo 'Warning: cuda_optional_test does not exist.' 2025-08-26T21:57:25.4160402Z Warning: cuda_optional_test does not exist. 2025-08-26T21:57:25.4160977Z + run_if_exists cuda_tensor_interop_test 2025-08-26T21:57:25.4161543Z + local test_name=cuda_tensor_interop_test 2025-08-26T21:57:25.4162123Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-08-26T21:57:25.4162780Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-08-26T21:57:25.4163466Z Warning: cuda_tensor_interop_test does not exist. 2025-08-26T21:57:25.4164060Z + run_if_exists cuda_complex_test 2025-08-26T21:57:25.4164567Z + local test_name=cuda_complex_test 2025-08-26T21:57:25.4165309Z + [[ -x build/bin/cuda_complex_test ]] 2025-08-26T21:57:25.4165888Z + echo 'Warning: cuda_complex_test does not exist.' 2025-08-26T21:57:25.4166510Z Warning: cuda_complex_test does not exist. 2025-08-26T21:57:25.4167063Z + run_if_exists cuda_complex_math_test 2025-08-26T21:57:25.4167595Z + local test_name=cuda_complex_math_test 2025-08-26T21:57:25.4168152Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-08-26T21:57:25.4168783Z + echo 'Warning: cuda_complex_math_test does not exist.' 2025-08-26T21:57:25.4169454Z Warning: cuda_complex_math_test does not exist. 2025-08-26T21:57:25.4170026Z + run_if_exists cuda_cub_test 2025-08-26T21:57:25.4170501Z + local test_name=cuda_cub_test 2025-08-26T21:57:25.4170991Z + [[ -x build/bin/cuda_cub_test ]] 2025-08-26T21:57:25.4171529Z + echo 'Warning: cuda_cub_test does not exist.' 2025-08-26T21:57:25.4172100Z Warning: cuda_cub_test does not exist. 2025-08-26T21:57:25.4172622Z + run_if_exists cuda_atomic_ops_test 2025-08-26T21:57:25.4173149Z + local test_name=cuda_atomic_ops_test 2025-08-26T21:57:25.4173734Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-08-26T21:57:25.4174346Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2025-08-26T21:57:25.4174995Z Warning: cuda_atomic_ops_test does not exist. 2025-08-26T21:57:25.4175532Z + '[' OFF == ON ']' 2025-08-26T21:57:25.4176523Z + [[ -n '' ]] 2025-08-26T21:57:25.4176967Z + assert_git_not_dirty 2025-08-26T21:57:25.4177437Z + [[ linux-jammy-rocm-py3.10 != *rocm* ]] 2025-08-26T21:57:25.4178354Z + test_libtorch 1 2025-08-26T21:57:25.4179220Z + local SHARD=1 2025-08-26T21:57:25.4179847Z + [[ default != \s\l\o\w ]] 2025-08-26T21:57:25.4180543Z + echo 'Testing libtorch' 2025-08-26T21:57:25.4181511Z Testing libtorch 2025-08-26T21:57:25.4183055Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-08-26T21:57:25.4185420Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-08-26T21:57:25.4204686Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-08-26T21:57:25.4230211Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10_hip.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-08-26T21:57:25.4253605Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm_windows /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-08-26T21:57:25.4276410Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_hip.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-08-26T21:57:25.4296145Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-08-26T21:57:25.4313866Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-08-26T21:57:25.4330477Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-08-26T21:57:25.4331317Z + [[ -z 1 ]] 2025-08-26T21:57:25.4331714Z + [[ 1 == \1 ]] 2025-08-26T21:57:25.4332113Z + test_libtorch_api 2025-08-26T21:57:25.4332639Z + MNIST_DIR=/var/lib/jenkins/pytorch/test/cpp/api/mnist 2025-08-26T21:57:25.4333849Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/pytorch/test/cpp/api/mnist 2025-08-26T21:57:25.4986539Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ... 2025-08-26T21:57:25.6742975Z Failed to download (trying next): 2025-08-26T21:57:25.6743593Z HTTP Error 404: Not Found 2025-08-26T21:57:25.6744525Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ... 2025-08-26T21:57:26.8392381Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ... 2025-08-26T21:57:27.0156965Z Failed to download (trying next): 2025-08-26T21:57:27.0157624Z HTTP Error 404: Not Found 2025-08-26T21:57:27.0158617Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ... 2025-08-26T21:57:27.3292766Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ... 2025-08-26T21:57:27.5109554Z Failed to download (trying next): 2025-08-26T21:57:27.5110230Z HTTP Error 404: Not Found 2025-08-26T21:57:27.5111153Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ... 2025-08-26T21:57:28.2473274Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ... 2025-08-26T21:57:28.4040904Z Failed to download (trying next): 2025-08-26T21:57:28.4041576Z HTTP Error 404: Not Found 2025-08-26T21:57:28.4043051Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ... 2025-08-26T21:57:28.6684370Z + [[ linux-jammy-rocm-py3.10 == *asan* ]] 2025-08-26T21:57:28.6685132Z + [[ linux-jammy-rocm-py3.10 == *slow-gradcheck* ]] 2025-08-26T21:57:28.6685780Z + OMP_NUM_THREADS=2 2025-08-26T21:57:28.6686440Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/pytorch/test/cpp/api/mnist 2025-08-26T21:57:28.6687942Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest' 2025-08-26T21:57:31.1002103Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:57:31.1004618Z import pkg_resources 2025-08-26T21:57:32.5327499Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/pytorch/test/.pytorch-disabled-tests.json 2025-08-26T21:57:32.5424392Z Found test times from artifacts 2025-08-26T21:57:32.5833779Z Found test times from artifacts 2025-08-26T21:57:32.5846299Z Running all tests 2025-08-26T21:57:32.5848062Z Running parallel tests on 2 processes 2025-08-26T21:57:32.5848687Z Name: tests to run (est. time: 0.0min) 2025-08-26T21:57:32.5849266Z Serial tests (0): 2025-08-26T21:57:32.5849689Z Parallel tests (1): 2025-08-26T21:57:32.5850138Z cpp/test_api 1/1 2025-08-26T21:57:32.5850583Z Name: excluded (est. time: 0.0min) 2025-08-26T21:57:32.5851080Z Serial tests (0): 2025-08-26T21:57:32.5851487Z Parallel tests (0): 2025-08-26T21:57:32.5853704Z Running cpp/test_api 1/1 ... [2025-08-26 21:57:32.585117] 2025-08-26T21:57:32.5858357Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:32.5860659Z Executing ['pytest', '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin/test_api', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-3dfbc32266f9eb17.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-08-26 21:57:32.585527] 2025-08-26T21:57:33.7038367Z 2025-08-26T21:57:33.7039761Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_e7ba0946033c998f_.log 2025-08-26T21:57:33.7041051Z 2025-08-26T21:57:33.7041593Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading 2025-08-26T21:57:33.7042593Z Uploading artifacts took 0.00 seconds 2025-08-26T21:57:36.1426400Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:57:36.1429085Z import pkg_resources 2025-08-26T21:57:36.1603574Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:57:36.1606027Z import pkg_resources 2025-08-26T21:57:36.6198960Z Running cpp/test_api 1/1 ... [2025-08-26 21:57:36.619189] 2025-08-26T21:57:36.6199701Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:36.6202010Z Executing ['pytest', '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin/test_api', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-f834674c97908abd.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-08-26 21:57:36.619635] 2025-08-26T21:57:37.4370568Z 2025-08-26T21:57:37.4371696Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_a8707ccb07143aac_.log 2025-08-26T21:57:37.4373346Z 2025-08-26T21:57:38.1154069Z Running test batch 'tests to run' cost 5.53 seconds 2025-08-26T21:57:38.7287627Z + [[ linux-jammy-rocm-py3.10 != *android* ]] 2025-08-26T21:57:38.7288038Z + [[ linux-jammy-rocm-py3.10 != *cuda* ]] 2025-08-26T21:57:38.7288396Z + [[ linux-jammy-rocm-py3.10 != *asan* ]] 2025-08-26T21:57:38.7289222Z + [[ linux-jammy-rocm-py3.10 != *s390x* ]] 2025-08-26T21:57:38.7289527Z + export CPP_TESTS_DIR=build/bin 2025-08-26T21:57:38.7289793Z + CPP_TESTS_DIR=build/bin 2025-08-26T21:57:38.7290161Z + python test/run_test.py --cpp --verbose -i cpp/static_runtime_test 2025-08-26T21:57:41.1728246Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:57:41.1729589Z import pkg_resources 2025-08-26T21:57:42.7480624Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/pytorch/test/.pytorch-disabled-tests.json 2025-08-26T21:57:42.7576823Z Found test times from artifacts 2025-08-26T21:57:42.7984602Z Found test times from artifacts 2025-08-26T21:57:42.7996145Z Running all tests 2025-08-26T21:57:42.7998461Z Running parallel tests on 2 processes 2025-08-26T21:57:42.7999094Z Name: tests to run (est. time: 0.0min) 2025-08-26T21:57:42.7999636Z Serial tests (0): 2025-08-26T21:57:42.8000062Z Parallel tests (1): 2025-08-26T21:57:42.8000577Z cpp/static_runtime_test 1/1 2025-08-26T21:57:42.8001119Z Name: excluded (est. time: 0.0min) 2025-08-26T21:57:42.8002276Z Serial tests (0): 2025-08-26T21:57:42.8002732Z Parallel tests (0): 2025-08-26T21:57:42.8003370Z Running cpp/static_runtime_test 1/1 ... [2025-08-26 21:57:42.799689] 2025-08-26T21:57:42.8004105Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:42.8006098Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/static_runtime_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-4576142b34d29cb7.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:42.800091] 2025-08-26T21:57:43.5673569Z 2025-08-26T21:57:43.5676226Z cpp/static_runtime_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.static_runtime_test_1.1_1e2d0661f53db339_.log 2025-08-26T21:57:43.5677662Z 2025-08-26T21:57:43.5678186Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading 2025-08-26T21:57:43.5679019Z Uploading artifacts took 0.00 seconds 2025-08-26T21:57:46.0648761Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:57:46.0651366Z import pkg_resources 2025-08-26T21:57:46.1354993Z /opt/conda/envs/py_3.10/lib/python3.10/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. 2025-08-26T21:57:46.1357501Z import pkg_resources 2025-08-26T21:57:46.5555491Z Running cpp/static_runtime_test 1/1 ... [2025-08-26 21:57:46.555159] 2025-08-26T21:57:46.5556199Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set 2025-08-26T21:57:46.5561217Z Executing ['pytest', '/var/lib/jenkins/pytorch/build/bin/static_runtime_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '2', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-b1821174b8f8b824.xml', '-x', '--reruns=2'] ... [2025-08-26 21:57:46.555637] 2025-08-26T21:57:47.3231412Z 2025-08-26T21:57:47.3232810Z cpp/static_runtime_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.static_runtime_test_1.1_bc07560c7900613c_.log 2025-08-26T21:57:47.3233813Z 2025-08-26T21:57:48.2732413Z Running test batch 'tests to run' cost 5.47 seconds 2025-08-26T21:57:48.8830707Z + [[ -z 1 ]] 2025-08-26T21:57:48.8831847Z + [[ 1 == \2 ]] 2025-08-26T21:57:48.8832302Z + assert_git_not_dirty 2025-08-26T21:57:48.8832820Z + [[ linux-jammy-rocm-py3.10 != *rocm* ]] 2025-08-26T21:57:48.8833443Z + [[ linux-jammy-rocm-py3.10 == *xpu* ]] 2025-08-26T21:57:48.8853078Z + sccache_epilogue 2025-08-26T21:57:48.8853720Z + echo '::group::Sccache Compilation Log' 2025-08-26T21:57:48.8854811Z ##[group]Sccache Compilation Log 2025-08-26T21:57:48.8855344Z + echo '=================== sccache compilation log ===================' 2025-08-26T21:57:48.8855926Z =================== sccache compilation log =================== 2025-08-26T21:57:48.8856664Z + python /var/lib/jenkins/pytorch/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-08-26T21:57:48.9050033Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-08-26T21:57:48.9050689Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-08-26T21:57:48.9051141Z + sccache --show-stats 2025-08-26T21:57:48.9089623Z Compile requests 2691 2025-08-26T21:57:48.9090120Z Compile requests executed 150 2025-08-26T21:57:48.9090541Z Cache hits 32 2025-08-26T21:57:48.9090885Z Cache hits (C/C++) 26 2025-08-26T21:57:48.9091190Z Cache hits (HIP) 6 2025-08-26T21:57:48.9091677Z Cache misses 115 2025-08-26T21:57:48.9091953Z Cache misses (C/C++) 101 2025-08-26T21:57:48.9092219Z Cache misses (HIP) 14 2025-08-26T21:57:48.9092483Z Cache hits rate 21.77 % 2025-08-26T21:57:48.9092774Z Cache hits rate (C/C++) 20.47 % 2025-08-26T21:57:48.9093047Z Cache hits rate (HIP) 30.00 % 2025-08-26T21:57:48.9093321Z Cache timeouts 0 2025-08-26T21:57:48.9093595Z Cache read errors 0 2025-08-26T21:57:48.9093861Z Forced recaches 0 2025-08-26T21:57:48.9094126Z Cache write errors 0 2025-08-26T21:57:48.9094389Z Cache errors 0 2025-08-26T21:57:48.9094666Z Compilations 115 2025-08-26T21:57:48.9094944Z Compilation failures 3 2025-08-26T21:57:48.9095227Z Non-cacheable compilations 0 2025-08-26T21:57:48.9095636Z Non-cacheable calls 7 2025-08-26T21:57:48.9095911Z Non-compilation calls 2534 2025-08-26T21:57:48.9096190Z Unsupported compiler calls 0 2025-08-26T21:57:48.9096474Z Average cache write 0.000 s 2025-08-26T21:57:48.9096770Z Average compiler 10.848 s 2025-08-26T21:57:48.9097046Z Average cache read hit 0.000 s 2025-08-26T21:57:48.9097332Z Failed distributed compilations 0 2025-08-26T21:57:48.9097516Z 2025-08-26T21:57:48.9097616Z Non-cacheable reasons: 2025-08-26T21:57:48.9097852Z -E 6 2025-08-26T21:57:48.9098135Z unknown source language 1 2025-08-26T21:57:48.9098312Z 2025-08-26T21:57:48.9098509Z Cache location Local disk: "/var/lib/jenkins/.cache/sccache" 2025-08-26T21:57:48.9098890Z Use direct/preprocessor mode? yes 2025-08-26T21:57:48.9099171Z Version (client) 0.10.0 2025-08-26T21:57:48.9099456Z Cache size 52 MiB 2025-08-26T21:57:48.9099747Z Max cache size 10 GiB 2025-08-26T21:57:48.9100038Z + sccache --stop-server 2025-08-26T21:57:48.9115662Z Stopping sccache server... 2025-08-26T21:57:48.9118225Z Compile requests 2691 2025-08-26T21:57:48.9118760Z Compile requests executed 150 2025-08-26T21:57:48.9119054Z Cache hits 32 2025-08-26T21:57:48.9119321Z Cache hits (C/C++) 26 2025-08-26T21:57:48.9119608Z Cache hits (HIP) 6 2025-08-26T21:57:48.9119873Z Cache misses 115 2025-08-26T21:57:48.9120131Z Cache misses (C/C++) 101 2025-08-26T21:57:48.9120513Z Cache misses (HIP) 14 2025-08-26T21:57:48.9120779Z Cache hits rate 21.77 % 2025-08-26T21:57:48.9121053Z Cache hits rate (C/C++) 20.47 % 2025-08-26T21:57:48.9121325Z Cache hits rate (HIP) 30.00 % 2025-08-26T21:57:48.9121592Z Cache timeouts 0 2025-08-26T21:57:48.9121855Z Cache read errors 0 2025-08-26T21:57:48.9122118Z Forced recaches 0 2025-08-26T21:57:48.9122384Z Cache write errors 0 2025-08-26T21:57:48.9122641Z Cache errors 0 2025-08-26T21:57:48.9122908Z Compilations 115 2025-08-26T21:57:48.9123176Z Compilation failures 3 2025-08-26T21:57:48.9123451Z Non-cacheable compilations 0 2025-08-26T21:57:48.9123722Z Non-cacheable calls 7 2025-08-26T21:57:48.9123991Z Non-compilation calls 2534 2025-08-26T21:57:48.9124272Z Unsupported compiler calls 0 2025-08-26T21:57:48.9124552Z Average cache write 0.000 s 2025-08-26T21:57:48.9124829Z Average compiler 10.848 s 2025-08-26T21:57:48.9125116Z Average cache read hit 0.000 s 2025-08-26T21:57:48.9125411Z Failed distributed compilations 0 2025-08-26T21:57:48.9125599Z 2025-08-26T21:57:48.9125695Z Non-cacheable reasons: 2025-08-26T21:57:48.9126017Z -E 6 2025-08-26T21:57:48.9126307Z unknown source language 1 2025-08-26T21:57:48.9126492Z 2025-08-26T21:57:48.9126667Z Cache location Local disk: "/var/lib/jenkins/.cache/sccache" 2025-08-26T21:57:48.9127048Z Use direct/preprocessor mode? yes 2025-08-26T21:57:48.9127329Z Version (client) 0.10.0 2025-08-26T21:57:48.9127607Z Cache size 52 MiB 2025-08-26T21:57:48.9127891Z Max cache size 10 GiB 2025-08-26T21:57:48.9128195Z + echo ::endgroup:: 2025-08-26T21:57:48.9128784Z ##[endgroup] 2025-08-26T21:57:48.9272107Z ##[group]Run # copy test results back to the mounted workspace, needed sudo, resulting permissions were correct 2025-08-26T21:57:48.9272853Z # copy test results back to the mounted workspace, needed sudo, resulting permissions were correct 2025-08-26T21:57:48.9273740Z docker exec -t "2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650" sh -c "cd ../pytorch && sudo cp -R test/test-reports ../workspace/test" 2025-08-26T21:57:48.9318774Z shell: /usr/bin/bash -e {0} 2025-08-26T21:57:48.9319027Z env: 2025-08-26T21:57:48.9319228Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:57:48.9319607Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:57:48.9320140Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:57:48.9320632Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:57:48.9321505Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:57:48.9322277Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:57:48.9322532Z AWS_REGION: us-east-1 2025-08-26T21:57:48.9322831Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:57:48.9323179Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:57:48.9330735Z AWS_SESSION_TOKEN: *** 2025-08-26T21:57:48.9331324Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:57:48.9331958Z ##[endgroup] 2025-08-26T21:57:49.0734793Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-26T21:57:49.0735493Z cat test/**/*_toprint.log || true 2025-08-26T21:57:49.0788381Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T21:57:49.0789025Z env: 2025-08-26T21:57:49.0789416Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:57:49.0790129Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:57:49.0791402Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:57:49.0792378Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:57:49.0794043Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:57:49.0795686Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:57:49.0796263Z AWS_REGION: us-east-1 2025-08-26T21:57:49.0796969Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:57:49.0797772Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:57:49.0808428Z AWS_SESSION_TOKEN: *** 2025-08-26T21:57:49.0809223Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:57:49.0810022Z ##[endgroup] 2025-08-26T21:57:49.1067404Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-26T21:57:49.1268736Z Prepare all required actions 2025-08-26T21:57:49.1269814Z Getting action download info 2025-08-26T21:57:49.4797874Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-26T21:57:50.1113901Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-26T21:57:50.8892037Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-26T21:57:50.8892502Z with: 2025-08-26T21:57:50.8892777Z use-gha: true 2025-08-26T21:57:50.8893203Z file-suffix: test-default-1-6-linux.rocm.gpu.2_48946809453 2025-08-26T21:57:50.8893711Z s3-bucket: gha-artifacts 2025-08-26T21:57:50.8894047Z env: 2025-08-26T21:57:50.8894326Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:57:50.8894856Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:57:50.8895626Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:57:50.8896408Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:57:50.8897656Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:57:50.8898768Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:57:50.8899135Z AWS_REGION: us-east-1 2025-08-26T21:57:50.8899550Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:57:50.8900038Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:57:50.8907858Z AWS_SESSION_TOKEN: *** 2025-08-26T21:57:50.8908536Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:57:50.8909144Z ##[endgroup] 2025-08-26T21:57:50.8990190Z ##[group]Run actions/upload-artifact@v4 2025-08-26T21:57:50.8990430Z with: 2025-08-26T21:57:50.8990729Z name: test-jsons-runattempt1-test-default-1-6-linux.rocm.gpu.2_48946809453.zip 2025-08-26T21:57:50.8991090Z retention-days: 14 2025-08-26T21:57:50.8991305Z if-no-files-found: warn 2025-08-26T21:57:50.8991506Z path: test/**/*.json 2025-08-26T21:57:50.8991694Z compression-level: 6 2025-08-26T21:57:50.8991876Z overwrite: false 2025-08-26T21:57:50.8992054Z include-hidden-files: false 2025-08-26T21:57:50.8992252Z env: 2025-08-26T21:57:50.8992417Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:57:50.8992713Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:57:50.8993142Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:57:50.8993538Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:57:50.8994364Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:57:50.8994986Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:57:50.8995195Z AWS_REGION: us-east-1 2025-08-26T21:57:50.8995451Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:57:50.8995840Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:57:50.8999853Z AWS_SESSION_TOKEN: *** 2025-08-26T21:57:50.9000168Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:57:50.9000507Z ##[endgroup] 2025-08-26T21:57:51.5455784Z With the provided path, there will be 10 files uploaded 2025-08-26T21:57:51.5461959Z Artifact name is valid! 2025-08-26T21:57:51.5462522Z Root directory input is valid! 2025-08-26T21:57:53.1038104Z Beginning upload of artifact content to blob storage 2025-08-26T21:57:53.6091061Z Uploaded bytes 46873 2025-08-26T21:57:53.6936500Z Finished uploading artifact content to blob storage! 2025-08-26T21:57:53.6942029Z SHA256 digest of uploaded artifact zip is 906c742f99e9dd9a22b871af23eb69f4ef4cedad96c217fea9fb34001031bb07 2025-08-26T21:57:53.6944819Z Finalizing artifact upload 2025-08-26T21:57:53.8640911Z Artifact test-jsons-runattempt1-test-default-1-6-linux.rocm.gpu.2_48946809453.zip.zip successfully finalized. Artifact ID 3858198898 2025-08-26T21:57:53.8643133Z Artifact test-jsons-runattempt1-test-default-1-6-linux.rocm.gpu.2_48946809453.zip has been successfully uploaded! Final size is 46873 bytes. Artifact ID is 3858198898 2025-08-26T21:57:53.8654484Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/17248463650/artifacts/3858198898 2025-08-26T21:57:53.8968961Z ##[group]Run actions/upload-artifact@v4 2025-08-26T21:57:53.8969520Z with: 2025-08-26T21:57:53.8970264Z name: test-reports-runattempt1-test-default-1-6-linux.rocm.gpu.2_48946809453.zip 2025-08-26T21:57:53.8971151Z retention-days: 14 2025-08-26T21:57:53.8971743Z if-no-files-found: ignore 2025-08-26T21:57:53.8972488Z path: test/**/*.xml test/**/*.csv 2025-08-26T21:57:53.8973442Z compression-level: 6 2025-08-26T21:57:53.8974097Z overwrite: false 2025-08-26T21:57:53.8974714Z include-hidden-files: false 2025-08-26T21:57:53.9004975Z env: 2025-08-26T21:57:53.9005491Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:57:53.9006322Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:57:53.9007443Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:57:53.9008455Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:57:53.9010165Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:57:53.9011707Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:57:53.9012241Z AWS_REGION: us-east-1 2025-08-26T21:57:53.9012842Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:57:53.9013540Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:57:53.9023400Z AWS_SESSION_TOKEN: *** 2025-08-26T21:57:53.9024169Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:57:53.9024996Z ##[endgroup] 2025-08-26T21:57:54.6361078Z With the provided path, there will be 144 files uploaded 2025-08-26T21:57:54.6366328Z Artifact name is valid! 2025-08-26T21:57:54.6366918Z Root directory input is valid! 2025-08-26T21:57:56.2035464Z Beginning upload of artifact content to blob storage 2025-08-26T21:57:57.0657461Z Uploaded bytes 306906 2025-08-26T21:57:57.1471749Z Finished uploading artifact content to blob storage! 2025-08-26T21:57:57.1477468Z SHA256 digest of uploaded artifact zip is f3710ce6a2af3b89af1b91848369831db210637315a0c340c35a348be3229313 2025-08-26T21:57:57.1479788Z Finalizing artifact upload 2025-08-26T21:57:57.2962934Z Artifact test-reports-runattempt1-test-default-1-6-linux.rocm.gpu.2_48946809453.zip.zip successfully finalized. Artifact ID 3858199236 2025-08-26T21:57:57.2965684Z Artifact test-reports-runattempt1-test-default-1-6-linux.rocm.gpu.2_48946809453.zip has been successfully uploaded! Final size is 306906 bytes. Artifact ID is 3858199236 2025-08-26T21:57:57.2976313Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/17248463650/artifacts/3858199236 2025-08-26T21:57:57.3306252Z ##[group]Run actions/upload-artifact@v4 2025-08-26T21:57:57.3306840Z with: 2025-08-26T21:57:57.3307522Z name: logs-runattempt1-test-default-1-6-linux.rocm.gpu.2_48946809453.zip 2025-08-26T21:57:57.3308581Z retention-days: 14 2025-08-26T21:57:57.3309085Z if-no-files-found: ignore 2025-08-26T21:57:57.3309648Z path: usage_log.txt test/**/*.log 2025-08-26T21:57:57.3310211Z compression-level: 6 2025-08-26T21:57:57.3310670Z overwrite: false 2025-08-26T21:57:57.3311134Z include-hidden-files: false 2025-08-26T21:57:57.3311646Z env: 2025-08-26T21:57:57.3312043Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:57:57.3312795Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:57:57.3313855Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:57:57.3314842Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:57:57.3316951Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:57:57.3318556Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:57:57.3319074Z AWS_REGION: us-east-1 2025-08-26T21:57:57.3319687Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:57:57.3320376Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:57:57.3330567Z AWS_SESSION_TOKEN: *** 2025-08-26T21:57:57.3331375Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:57:57.3332214Z ##[endgroup] 2025-08-26T21:57:58.0879620Z Multiple search paths detected. Calculating the least common ancestor of all paths 2025-08-26T21:57:58.0881794Z The least common ancestor is /home/pytorchci/actions-runner/_work/pytorch/pytorch. This will be the root directory of the artifact 2025-08-26T21:57:58.0883177Z With the provided path, there will be 131 files uploaded 2025-08-26T21:57:58.0885787Z Artifact name is valid! 2025-08-26T21:57:58.0886776Z Root directory input is valid! 2025-08-26T21:57:59.6396554Z Beginning upload of artifact content to blob storage 2025-08-26T21:58:00.6129116Z Uploaded bytes 404152 2025-08-26T21:58:00.7068813Z Finished uploading artifact content to blob storage! 2025-08-26T21:58:00.7075157Z SHA256 digest of uploaded artifact zip is 1d364fb38be91ceccac51ad17405bd39e4cce4942c19f9a619bac8938d494ade 2025-08-26T21:58:00.7078017Z Finalizing artifact upload 2025-08-26T21:58:00.8533535Z Artifact logs-runattempt1-test-default-1-6-linux.rocm.gpu.2_48946809453.zip.zip successfully finalized. Artifact ID 3858199574 2025-08-26T21:58:00.8535631Z Artifact logs-runattempt1-test-default-1-6-linux.rocm.gpu.2_48946809453.zip has been successfully uploaded! Final size is 404152 bytes. Artifact ID is 3858199574 2025-08-26T21:58:00.8552394Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/17248463650/artifacts/3858199574 2025-08-26T21:58:00.8877461Z ##[group]Run # shellcheck disable=SC2156 2025-08-26T21:58:00.8878220Z # shellcheck disable=SC2156 2025-08-26T21:58:00.8879295Z find . -iname "core.[1-9]*" -exec docker exec "${CONTAINER_NAME}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-26T21:58:00.8936634Z shell: /usr/bin/bash -e {0} 2025-08-26T21:58:00.8937171Z env: 2025-08-26T21:58:00.8937610Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:00.8938397Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:00.8939520Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:00.8940568Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:00.8942565Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:00.8944201Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:00.8944748Z AWS_REGION: us-east-1 2025-08-26T21:58:00.8945369Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:00.8946319Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:00.8956356Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:00.8957171Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:00.8958028Z ##[endgroup] 2025-08-26T21:58:01.3079343Z ##[group]Run aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722 2025-08-26T21:58:01.3080453Z with: 2025-08-26T21:58:01.3081262Z role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_upload-benchmark-results 2025-08-26T21:58:01.3082244Z role-duration-seconds: 18000 2025-08-26T21:58:01.3082866Z aws-region: us-east-1 2025-08-26T21:58:01.3083443Z audience: sts.amazonaws.com 2025-08-26T21:58:01.3083944Z env: 2025-08-26T21:58:01.3084325Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:01.3085021Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:01.3086024Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:01.3086975Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:01.3088622Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:01.3090316Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:01.3090902Z AWS_REGION: us-east-1 2025-08-26T21:58:01.3091556Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:01.3092240Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:01.3101514Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:01.3102262Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:01.3103065Z ##[endgroup] 2025-08-26T21:58:01.7426217Z Assuming role with OIDC 2025-08-26T21:58:02.1024962Z Authenticated as assumedRoleId AROAUPVRELQNA5GQHA6IA:GitHubActions 2025-08-26T21:58:02.2268571Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-08-26T21:58:02.2269593Z with: 2025-08-26T21:58:02.2270104Z benchmark-results-dir: test/test-reports 2025-08-26T21:58:02.2270725Z dry-run: false 2025-08-26T21:58:02.2271202Z schema-version: v3 2025-08-26T21:58:02.2272149Z github-token: *** 2025-08-26T21:58:02.2272633Z env: 2025-08-26T21:58:02.2273077Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:02.2273862Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:02.2275010Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:02.2276062Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:02.2277886Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:02.2279556Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:02.2280118Z AWS_REGION: us-east-1 2025-08-26T21:58:02.2280701Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:02.2281437Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:02.2291854Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:02.2292657Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:02.2293530Z ##[endgroup] 2025-08-26T21:58:02.2329391Z ##[group]Run set -eux 2025-08-26T21:58:02.2329999Z set -eux 2025-08-26T21:58:02.2330813Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-26T21:58:02.2331773Z  2025-08-26T21:58:02.2332267Z DEVICE_NAME="" 2025-08-26T21:58:02.2332794Z DEVICE_TYPE="" 2025-08-26T21:58:02.2333504Z  2025-08-26T21:58:02.2333976Z if command -v nvidia-smi; then 2025-08-26T21:58:02.2334836Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-08-26T21:58:02.2335928Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-08-26T21:58:02.2337147Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-08-26T21:58:02.2337964Z  python3 -mpip install torch==2.7.1 2025-08-26T21:58:02.2338635Z elif command -v rocminfo; then 2025-08-26T21:58:02.2339449Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-08-26T21:58:02.2340467Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-08-26T21:58:02.2341485Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-08-26T21:58:02.2342388Z  # GPU device name coming from rocminfo instead 2025-08-26T21:58:02.2343087Z  DEVICE_NAME=rocm 2025-08-26T21:58:02.2343991Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-08-26T21:58:02.2344928Z fi 2025-08-26T21:58:02.2345353Z  2025-08-26T21:58:02.2345870Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-08-26T21:58:02.2346631Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-26T21:58:02.2406073Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T21:58:02.2406792Z env: 2025-08-26T21:58:02.2407222Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:02.2408004Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:02.2409277Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:02.2410468Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:02.2412231Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:02.2413838Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:02.2414384Z AWS_REGION: us-east-1 2025-08-26T21:58:02.2415444Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:02.2416213Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:02.2426661Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:02.2427475Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:02.2428445Z ##[endgroup] 2025-08-26T21:58:02.2516782Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-26T21:58:02.5500098Z Defaulting to user installation because normal site-packages is not writeable 2025-08-26T21:58:02.6566949Z Requirement already satisfied: boto3==1.35.33 in /home/pytorchci/.local/lib/python3.10/site-packages (1.35.33) 2025-08-26T21:58:02.6570649Z Requirement already satisfied: psutil==7.0.0 in /home/pytorchci/.local/lib/python3.10/site-packages (7.0.0) 2025-08-26T21:58:02.6580996Z Requirement already satisfied: pynvml==12.0.0 in /home/pytorchci/.local/lib/python3.10/site-packages (12.0.0) 2025-08-26T21:58:02.6616677Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/pytorchci/.local/lib/python3.10/site-packages (from boto3==1.35.33) (0.10.4) 2025-08-26T21:58:02.6620507Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /home/pytorchci/.local/lib/python3.10/site-packages (from boto3==1.35.33) (1.0.1) 2025-08-26T21:58:02.6625543Z Requirement already satisfied: botocore<1.36.0,>=1.35.33 in /home/pytorchci/.local/lib/python3.10/site-packages (from boto3==1.35.33) (1.35.99) 2025-08-26T21:58:02.6775528Z Requirement already satisfied: nvidia-ml-py<13.0.0a0,>=12.0.0 in /home/pytorchci/.local/lib/python3.10/site-packages (from pynvml==12.0.0) (12.575.51) 2025-08-26T21:58:02.6818174Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /home/pytorchci/.local/lib/python3.10/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.9.0.post0) 2025-08-26T21:58:02.6828388Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.5) 2025-08-26T21:58:02.6872876Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.16.0) 2025-08-26T21:58:02.9536501Z + DEVICE_NAME= 2025-08-26T21:58:02.9537066Z + DEVICE_TYPE= 2025-08-26T21:58:02.9537578Z + command -v nvidia-smi 2025-08-26T21:58:02.9538143Z + command -v rocminfo 2025-08-26T21:58:02.9538652Z + DEVICE_NAME=rocm 2025-08-26T21:58:02.9539141Z /usr/bin/rocminfo 2025-08-26T21:58:02.9545468Z ++ rocminfo 2025-08-26T21:58:02.9547277Z ++ tail -n1 2025-08-26T21:58:02.9547552Z ++ grep 'Marketing Name' 2025-08-26T21:58:02.9549721Z ++ awk -F: '{print $2}' 2025-08-26T21:58:02.9552712Z ++ xargs 2025-08-26T21:58:03.0547248Z + DEVICE_TYPE='AMD Instinct MI210' 2025-08-26T21:58:03.0547827Z + echo DEVICE_NAME=rocm 2025-08-26T21:58:03.0548422Z + echo 'DEVICE_TYPE=AMD Instinct MI210' 2025-08-26T21:58:03.0590618Z ##[group]Run set -eux 2025-08-26T21:58:03.0591225Z set -eux 2025-08-26T21:58:03.0591692Z  2025-08-26T21:58:03.0592241Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-26T21:58:03.0592940Z  echo "Missing github-token input" 2025-08-26T21:58:03.0593565Z  exit 1 2025-08-26T21:58:03.0594022Z fi 2025-08-26T21:58:03.0645821Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T21:58:03.0646209Z env: 2025-08-26T21:58:03.0646439Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:03.0646867Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:03.0647451Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:03.0647981Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:03.0648905Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:03.0650211Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:03.0651330Z AWS_REGION: us-east-1 2025-08-26T21:58:03.0652062Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:03.0652828Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:03.0663266Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:03.0664093Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:03.0664983Z DEVICE_NAME: rocm 2025-08-26T21:58:03.0665494Z DEVICE_TYPE: AMD Instinct MI210 2025-08-26T21:58:03.0666335Z GITHUB_TOKEN: *** 2025-08-26T21:58:03.0666809Z ##[endgroup] 2025-08-26T21:58:03.0759433Z + [[ -z *** ]] 2025-08-26T21:58:03.0823542Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-26T21:58:03.0824178Z with: 2025-08-26T21:58:03.0824724Z github-token: *** 2025-08-26T21:58:03.0825118Z env: 2025-08-26T21:58:03.0825465Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:03.0826104Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:03.0827009Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:03.0827832Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:03.0829331Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:03.0830577Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:03.0831025Z AWS_REGION: us-east-1 2025-08-26T21:58:03.0831478Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:03.0832052Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:03.0840600Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:03.0841371Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:03.0842443Z DEVICE_NAME: rocm 2025-08-26T21:58:03.0842811Z DEVICE_TYPE: AMD Instinct MI210 2025-08-26T21:58:03.0843158Z ##[endgroup] 2025-08-26T21:58:03.0864018Z ##[group]Run set -eux 2025-08-26T21:58:03.0864450Z set -eux 2025-08-26T21:58:03.0864815Z  2025-08-26T21:58:03.0865528Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-26T21:58:03.0909463Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T21:58:03.0910059Z env: 2025-08-26T21:58:03.0910434Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:03.0911057Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:03.0911941Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:03.0912777Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:03.0914145Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:03.0915401Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:03.0915853Z AWS_REGION: us-east-1 2025-08-26T21:58:03.0916329Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:03.0916917Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:03.0924785Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:03.0925218Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:03.0925670Z DEVICE_NAME: rocm 2025-08-26T21:58:03.0925936Z DEVICE_TYPE: AMD Instinct MI210 2025-08-26T21:58:03.0926335Z GITHUB_TOKEN: *** 2025-08-26T21:58:03.0926591Z ##[endgroup] 2025-08-26T21:58:03.0994964Z + python3 /home/pytorchci/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17248463650 pytorch-rocm-hw-03 2025-08-26T21:58:03.6636307Z setting job-id=48946809453 2025-08-26T21:58:03.6637294Z setting job-name=linux-jammy-rocm-py3.10 / test (default, 1, 6, linux.rocm.gpu.2) 2025-08-26T21:58:03.6821981Z ##[group]Run set -eux 2025-08-26T21:58:03.6822539Z set -eux 2025-08-26T21:58:03.6822985Z  2025-08-26T21:58:03.6824103Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-26T21:58:03.6825118Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-26T21:58:03.6825775Z  --repo "${REPO}" \ 2025-08-26T21:58:03.6826371Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-26T21:58:03.6827024Z  --head-sha "${HEAD_SHA}" \ 2025-08-26T21:58:03.6827671Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-26T21:58:03.6828494Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-26T21:58:03.6829107Z  --job-id "${JOB_ID}" \ 2025-08-26T21:58:03.6829690Z  --job-name "${JOB_NAME}" 2025-08-26T21:58:03.6886131Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T21:58:03.6886881Z env: 2025-08-26T21:58:03.6887334Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:03.6888125Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:03.6889252Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:03.6890292Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:03.6892041Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:03.6893621Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:03.6894169Z AWS_REGION: us-east-1 2025-08-26T21:58:03.6894778Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:03.6895526Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:03.6905967Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:03.6906780Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:03.6907903Z DEVICE_NAME: rocm 2025-08-26T21:58:03.6908516Z DEVICE_TYPE: AMD Instinct MI210 2025-08-26T21:58:03.6909070Z SCHEMA_VERSION: v3 2025-08-26T21:58:03.6909568Z REPO: pytorch/pytorch 2025-08-26T21:58:03.6910091Z HEAD_BRANCH: refs/heads/main 2025-08-26T21:58:03.6910709Z HEAD_SHA: 262640fd220236042fbf4443cc163c8838c84c3d 2025-08-26T21:58:03.6911574Z WORKFLOW_RUN_ID: 17248463650 2025-08-26T21:58:03.6912090Z RUN_ATTEMPT: 1 2025-08-26T21:58:03.6912548Z JOB_ID: 48946809453 2025-08-26T21:58:03.6913275Z JOB_NAME: linux-jammy-rocm-py3.10 / test (default, 1, 6, linux.rocm.gpu.2) 2025-08-26T21:58:03.6914082Z ##[endgroup] 2025-08-26T21:58:03.7003153Z + python3 /home/pytorchci/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 17248463650 --run-attempt 1 --job-id 48946809453 --job-name 'linux-jammy-rocm-py3.10 / test (default, 1, 6, linux.rocm.gpu.2)' 2025-08-26T21:58:03.7393575Z ##[group]Run set -eux 2025-08-26T21:58:03.7394122Z set -eux 2025-08-26T21:58:03.7394579Z  2025-08-26T21:58:03.7395353Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-26T21:58:03.7450011Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T21:58:03.7450891Z env: 2025-08-26T21:58:03.7451419Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:03.7452337Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:03.7453464Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:03.7454491Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:03.7456228Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:03.7457811Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:03.7458363Z AWS_REGION: us-east-1 2025-08-26T21:58:03.7458994Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:03.7460101Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:03.7470687Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:03.7471496Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:03.7472538Z DEVICE_NAME: rocm 2025-08-26T21:58:03.7473056Z DEVICE_TYPE: AMD Instinct MI210 2025-08-26T21:58:03.7473624Z ##[endgroup] 2025-08-26T21:58:03.7573853Z + python3 /home/pytorchci/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-26T21:58:05.5897786Z /home/pytorchci/.local/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-08-26T21:58:05.5900123Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-08-26T21:58:06.4518528Z ##[group]Run set -eux 2025-08-26T21:58:06.4519075Z set -eux 2025-08-26T21:58:06.4519522Z  2025-08-26T21:58:06.4520147Z # TODO (huydhn): Implement this part 2025-08-26T21:58:06.4521058Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-26T21:58:06.4580893Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T21:58:06.4581640Z env: 2025-08-26T21:58:06.4582073Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:06.4582874Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:06.4583991Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:06.4585031Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:06.4586791Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:06.4588774Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:06.4589325Z AWS_REGION: us-east-1 2025-08-26T21:58:06.4589966Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:06.4590718Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:06.4601755Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:06.4602722Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:06.4603765Z DEVICE_NAME: rocm 2025-08-26T21:58:06.4604362Z DEVICE_TYPE: AMD Instinct MI210 2025-08-26T21:58:06.4605039Z ##[endgroup] 2025-08-26T21:58:06.4690455Z + echo 'dependencies={}' 2025-08-26T21:58:06.4722343Z ##[group]Run set -eux 2025-08-26T21:58:06.4723018Z set -eux 2025-08-26T21:58:06.4723547Z  2025-08-26T21:58:06.4724160Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-26T21:58:06.4725073Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-26T21:58:06.4725666Z  # We don't want the job to fail if the directory doesn't exist 2025-08-26T21:58:06.4726051Z  exit 0 2025-08-26T21:58:06.4726288Z fi 2025-08-26T21:58:06.4726510Z  2025-08-26T21:58:06.4726773Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-26T21:58:06.4727254Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-26T21:58:06.4727789Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-26T21:58:06.4728217Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-26T21:58:06.4728562Z  --runners "${RUNNER_INFO}" \ 2025-08-26T21:58:06.4728917Z  --dependencies "${DEPENDENCIES}" \ 2025-08-26T21:58:06.4729249Z  --dry-run 2025-08-26T21:58:06.4729505Z else 2025-08-26T21:58:06.4729882Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-26T21:58:06.4730406Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-26T21:58:06.4730846Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-26T21:58:06.4731302Z  --runners "${RUNNER_INFO}" \ 2025-08-26T21:58:06.4732514Z  --dependencies "${DEPENDENCIES}" 2025-08-26T21:58:06.4733243Z fi 2025-08-26T21:58:06.4789255Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T21:58:06.4789995Z env: 2025-08-26T21:58:06.4790427Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:06.4791224Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:06.4792352Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:06.4793405Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:06.4795159Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:06.4796754Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:06.4797309Z AWS_REGION: us-east-1 2025-08-26T21:58:06.4797936Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:06.4798699Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:06.4807649Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:06.4808073Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:06.4808526Z DEVICE_NAME: rocm 2025-08-26T21:58:06.4808778Z DEVICE_TYPE: AMD Instinct MI210 2025-08-26T21:58:06.4809097Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-26T21:58:06.4809408Z DRY_RUN: false 2025-08-26T21:58:06.4810511Z BENCHMARK_METADATA: {"timestamp": 1756245483, "schema_version": "v3", "name": "linux-jammy-rocm-py3.10 / test (default, 1, 6, linux.rocm.gpu.2)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463650, "run_attempt": 1, "job_id": 48946809453} 2025-08-26T21:58:06.4813643Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 64, "avail_mem_in_gb": 125, "extra_info": {"hostname": "pytorch-rocm-hw-03"}, "name": "rocm", "type": "AMD Instinct MI210"}] 2025-08-26T21:58:06.4814888Z DEPENDENCIES: {} 2025-08-26T21:58:06.4815347Z ##[endgroup] 2025-08-26T21:58:06.4898334Z + [[ ! -d test/test-reports ]] 2025-08-26T21:58:06.4899220Z + [[ false == \t\r\u\e ]] 2025-08-26T21:58:06.4903921Z + python3 /home/pytorchci/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": 1756245483, "schema_version": "v3", "name": "linux-jammy-rocm-py3.10 / test (default, 1, 6, linux.rocm.gpu.2)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463650, "run_attempt": 1, "job_id": 48946809453}' --runners '[{"cpu_info": "x86_64", "cpu_count": 64, "avail_mem_in_gb": 125, "extra_info": {"hostname": "pytorch-rocm-hw-03"}, "name": "rocm", "type": "AMD Instinct MI210"}]' --dependencies '{}' 2025-08-26T21:58:06.6653720Z /home/pytorchci/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'lazy/test_ts_opinfo'}], 'excluded': []} from test/test-reports/td_exclusions-bf89736fac4500e77b3b.json is not a benchmark record, skipping 2025-08-26T21:58:06.6656673Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-26T21:58:06.6659655Z /home/pytorchci/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/static_runtime_test'}], 'excluded': []} from test/test-reports/td_exclusions-8ffc6190c91f3ea8622f.json is not a benchmark record, skipping 2025-08-26T21:58:06.6662500Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-26T21:58:06.6669367Z /home/pytorchci/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-d7233fe3065269ba9d2f.json is not a benchmark record, skipping 2025-08-26T21:58:06.6675642Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-26T21:58:06.6790967Z /home/pytorchci/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'export/test_export_with_inline_and_install'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'export/test_converter'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'export/test_passes'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'export/test_experimental'}, {'test_file': 'export/test_export'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'inductor/test_move_constructors_to_cuda'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'export/test_db'}, {'test_file': 'export/test_export_opinfo'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'export/test_hop'}, {'test_file': 'export/test_nativert'}, {'test_file': 'export/test_package'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'export/test_schema'}, {'test_file': 'export/test_serdes'}, {'test_file': 'export/test_serialize'}, {'test_file': 'export/test_sparse'}, {'test_file': 'export/test_swap'}, {'test_file': 'export/test_tools'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'export/test_verifier'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'inductor/test_config'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'inductor/test_cutedsl_template'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'inductor/test_segmented_tree'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'test_pruning_op'}, {'test_file': 'test_autograd'}, {'test_file': 'test_utils'}, {'test_file': 'test_dataloader'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_cuda'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_overrides'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'test_decomp'}, {'test_file': 'test_testing'}, {'test_file': 'test_ops'}, {'test_file': 'test_type_hints'}, {'test_file': 'test_modules'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_torch'}, {'test_file': 'functorch/test_dims'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_jit'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'test_quantization'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'test_fx'}, {'test_file': 'test_reductions'}, {'test_file': 'test_datapipe'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'test_ops_jit'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_nn'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'test_openreg'}, {'test_file': 'test_linalg'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_transformers'}, {'test_file': 'test_transformers_privateuse1'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_hub'}, {'test_file': 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic'}, {'test_file': 'test_extension_utils'}, {'test_file': 'functorch/test_parsing'}, {'test_file': 'functorch/test_rearrange'}, {'test_file': 'test_native_mha'}, {'test_file': 'test_optim'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'test_view_ops'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'test_tensorboard'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'test_serialization'}, {'test_file': 'doctests'}, {'test_file': 'test_foreach'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}, {'test_file': 'test_autocast'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'test_custom_ops'}, {'test_file': 'test_functional_optim'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'test_indexing'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_sparse'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'functorch/test_memory_efficient_fusion'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'test_dlpack'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'test_file_check'}, {'test_file': 'test_flop_counter'}, {'test_file': 'test_function_schema'}, {'test_file': 'test_functionalization'}, {'test_file': 'test_fx_passes'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_jiterator'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'test_meta'}, {'test_file': 'test_mkldnn'}, {'test_file': 'test_module_tracker'}, {'test_file': 'test_monitor'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_openmp'}, {'test_file': 'test_prims'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_pytree'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_shape_ops'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'test_stateless'}, {'test_file': 'test_subclass'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'test_type_promotion'}, {'test_file': 'test_typing'}, {'test_file': 'test_vulkan'}, {'test_file': 'test_weak'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'torch_np/numpy_tests/core/test_multiarray'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'nn/test_init'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'optim/test_optim'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'test_accelerator'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'test_autoload'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'test_complex'}, {'test_file': 'test_content_store'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'test_cpp_extensions_aot_ninja'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_futures'}, {'test_file': 'test_hop_infra'}, {'test_file': 'test_import_stats'}, {'test_file': 'test_itt'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'test_license'}, {'test_file': 'test_logging'}, {'test_file': 'test_masked'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'test_native_functions'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'test_package'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'test_show_pickle'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'test_type_info'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'xpu/test_gemm'}], 'excluded': []} from test/test-reports/td_exclusions-395c7e1e986e293071df.json is not a benchmark record, skipping 2025-08-26T21:58:06.6907316Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-26T21:58:06.6910134Z /home/pytorchci/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/test_api'}], 'excluded': []} from test/test-reports/td_exclusions-ca390b8ecbe4fc11401f.json is not a benchmark record, skipping 2025-08-26T21:58:06.6913011Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-26T21:58:06.6976380Z Prepare all required actions 2025-08-26T21:58:06.6977189Z Getting action download info 2025-08-26T21:58:06.7031140Z ##[group]Run ./.github/actions/teardown-rocm 2025-08-26T21:58:06.7031771Z env: 2025-08-26T21:58:06.7032207Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:06.7033006Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:06.7034163Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:06.7035211Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:06.7036963Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:06.7038568Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:06.7039122Z AWS_REGION: us-east-1 2025-08-26T21:58:06.7039766Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:06.7040716Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:06.7052022Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:06.7052840Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:06.7053732Z DEVICE_NAME: rocm 2025-08-26T21:58:06.7054250Z DEVICE_TYPE: AMD Instinct MI210 2025-08-26T21:58:06.7054813Z ##[endgroup] 2025-08-26T21:58:06.7085449Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T21:58:06.7086478Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-26T21:58:06.7087273Z # shellcheck disable=SC2046 2025-08-26T21:58:06.7087955Z docker stop $(docker ps -q) || true 2025-08-26T21:58:06.7088633Z # Prune all stopped containers. 2025-08-26T21:58:06.7089282Z docker container prune -f 2025-08-26T21:58:06.7142497Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T21:58:06.7143211Z env: 2025-08-26T21:58:06.7143666Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:06.7144491Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:06.7145644Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:06.7146716Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:06.7148623Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:06.7150210Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:06.7150790Z AWS_REGION: us-east-1 2025-08-26T21:58:06.7151410Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:06.7152158Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:06.7163107Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:06.7164100Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:06.7165145Z DEVICE_NAME: rocm 2025-08-26T21:58:06.7165719Z DEVICE_TYPE: AMD Instinct MI210 2025-08-26T21:58:06.7166289Z ##[endgroup] 2025-08-26T21:58:17.1506248Z 2da3dc07850a 2025-08-26T21:58:37.6328266Z Deleted Containers: 2025-08-26T21:58:37.6332734Z 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:37.6333405Z 2025-08-26T21:58:37.6333635Z Total reclaimed space: 9.89GB 2025-08-26T21:58:37.6415780Z Prepare all required actions 2025-08-26T21:58:37.6468818Z ##[group]Run ./.github/actions/diskspace-cleanup 2025-08-26T21:58:37.6469425Z with: 2025-08-26T21:58:37.6469858Z diskspace-cutoff: 70 2025-08-26T21:58:37.6470327Z env: 2025-08-26T21:58:37.6470734Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:37.6471718Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:37.6472771Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:37.6473755Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:37.6475817Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:37.6477491Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:37.6478041Z AWS_REGION: us-east-1 2025-08-26T21:58:37.6478638Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:37.6479398Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:37.6489977Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:37.6490751Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:37.6491580Z DEVICE_NAME: rocm 2025-08-26T21:58:37.6492057Z DEVICE_TYPE: AMD Instinct MI210 2025-08-26T21:58:37.6492596Z ##[endgroup] 2025-08-26T21:58:37.6520591Z ##[group]Run set -ex 2025-08-26T21:58:37.6521108Z set -ex 2025-08-26T21:58:37.6521570Z diskspace_cutoff=70 2025-08-26T21:58:37.6522252Z docker_root_dir=$(docker info -f '{{.DockerRootDir}}') 2025-08-26T21:58:37.6523025Z if [ ! -d "$docker_root_dir" ]; then 2025-08-26T21:58:37.6523967Z  echo "Docker root directory ($docker_root_dir) does not exist. Skipping disk space check." 2025-08-26T21:58:37.6524819Z  exit 0 2025-08-26T21:58:37.6525261Z fi 2025-08-26T21:58:37.6526029Z diskspace=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-26T21:58:37.6527560Z msg="Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified" 2025-08-26T21:58:37.6528862Z if [[ "$diskspace" -ge "$diskspace_cutoff" ]] ; then 2025-08-26T21:58:37.6529661Z  docker system prune -af 2025-08-26T21:58:37.6530750Z  diskspace_new=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //') 2025-08-26T21:58:37.6531985Z  if [[ "$diskspace_new" -gt "$diskspace_cutoff" ]] ; then 2025-08-26T21:58:37.6533065Z  echo "Error: Available diskspace is less than $diskspace_cutoff percent. Not enough diskspace." 2025-08-26T21:58:37.6533999Z  echo "$msg" 2025-08-26T21:58:37.6534496Z  exit 1 2025-08-26T21:58:37.6534948Z  else 2025-08-26T21:58:37.6535483Z  difference=$((diskspace - diskspace_new)) 2025-08-26T21:58:37.6536226Z  echo "Diskspace saved: $difference percent" 2025-08-26T21:58:37.6536844Z  fi 2025-08-26T21:58:37.6537255Z fi 2025-08-26T21:58:37.6592055Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-26T21:58:37.6592741Z env: 2025-08-26T21:58:37.6593151Z GIT_DEFAULT_BRANCH: main 2025-08-26T21:58:37.6593902Z RUNNER_ARTIFACT_DIR: /home/pytorchci/actions-runner/_work/_temp/artifacts 2025-08-26T21:58:37.6594950Z RUNNER_TEST_RESULTS_DIR: /home/pytorchci/actions-runner/_work/_temp/test-results 2025-08-26T21:58:37.6595909Z RUNNER_DOCS_DIR: /home/pytorchci/actions-runner/_work/_temp/docs 2025-08-26T21:58:37.6597549Z GPU_FLAG: --device=/dev/mem --device=/dev/kfd --device /dev/dri --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host 2025-08-26T21:58:37.6599085Z AWS_DEFAULT_REGION: us-east-1 2025-08-26T21:58:37.6599697Z AWS_REGION: us-east-1 2025-08-26T21:58:37.6600361Z AWS_ACCESS_KEY_ID: *** 2025-08-26T21:58:37.6601189Z AWS_SECRET_ACCESS_KEY: *** 2025-08-26T21:58:37.6611883Z AWS_SESSION_TOKEN: *** 2025-08-26T21:58:37.6612761Z CONTAINER_NAME: 2da3dc07850ae405214b195750da9eba0559eee89653eb6908675966f51e0650 2025-08-26T21:58:37.6613811Z DEVICE_NAME: rocm 2025-08-26T21:58:37.6614287Z DEVICE_TYPE: AMD Instinct MI210 2025-08-26T21:58:37.6614819Z ##[endgroup] 2025-08-26T21:58:37.6701075Z + diskspace_cutoff=70 2025-08-26T21:58:37.6707919Z ++ docker info -f '{{.DockerRootDir}}' 2025-08-26T21:58:37.7375027Z + docker_root_dir=/home/pytorchci/.local/share/docker 2025-08-26T21:58:37.7392053Z + '[' '!' -d /home/pytorchci/.local/share/docker ']' 2025-08-26T21:58:37.7395226Z ++ df -H --output=pcent /home/pytorchci/.local/share/docker 2025-08-26T21:58:37.7395807Z ++ sed -n 2p 2025-08-26T21:58:37.7396165Z ++ sed s/%// 2025-08-26T21:58:37.7396502Z ++ sed 's/ //' 2025-08-26T21:58:37.7419562Z + diskspace=29 2025-08-26T21:58:37.7420663Z + msg='Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified' 2025-08-26T21:58:37.7421719Z + [[ 29 -ge 70 ]] 2025-08-26T21:58:37.7493853Z Post job cleanup. 2025-08-26T21:58:37.7566539Z Post job cleanup. 2025-08-26T21:58:37.8781969Z Post job cleanup. 2025-08-26T21:58:37.9102497Z Logging out of registry 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-26T21:58:37.9570780Z Post job cleanup. 2025-08-26T21:58:38.0848931Z Post job cleanup. 2025-08-26T21:58:38.0925780Z Post job cleanup. 2025-08-26T21:58:38.1741701Z [command]/usr/bin/git version 2025-08-26T21:58:38.1819395Z git version 2.34.1 2025-08-26T21:58:38.1855087Z Copying '/home/pytorchci/.gitconfig' to '/home/pytorchci/actions-runner/_work/_temp/4cc4fc03-ff93-45cd-a78b-decc0afd097b/.gitconfig' 2025-08-26T21:58:38.1866736Z Temporarily overriding HOME='/home/pytorchci/actions-runner/_work/_temp/4cc4fc03-ff93-45cd-a78b-decc0afd097b' before making global git config changes 2025-08-26T21:58:38.1868722Z Adding repository directory to the temporary git global config as a safe directory 2025-08-26T21:58:38.1870186Z [command]/usr/bin/git config --global --add safe.directory /home/pytorchci/actions-runner/_work/pytorch/pytorch 2025-08-26T21:58:38.1925446Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-26T21:58:38.1955304Z [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' || :" 2025-08-26T21:58:38.2335288Z Entering 'android/libs/fbjni' 2025-08-26T21:58:38.2404178Z Entering 'third_party/FP16' 2025-08-26T21:58:38.2479159Z Entering 'third_party/FXdiv' 2025-08-26T21:58:38.2538135Z Entering 'third_party/NNPACK' 2025-08-26T21:58:38.2612092Z Entering 'third_party/NVTX' 2025-08-26T21:58:38.2657365Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-26T21:58:38.2715092Z Entering 'third_party/XNNPACK' 2025-08-26T21:58:38.2789491Z Entering 'third_party/aiter' 2025-08-26T21:58:38.2857304Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T21:58:38.2919594Z Entering 'third_party/benchmark' 2025-08-26T21:58:38.2968547Z Entering 'third_party/composable_kernel' 2025-08-26T21:58:38.3017999Z Entering 'third_party/cpp-httplib' 2025-08-26T21:58:38.3062910Z Entering 'third_party/cpuinfo' 2025-08-26T21:58:38.3119415Z Entering 'third_party/cudnn_frontend' 2025-08-26T21:58:38.3158538Z Entering 'third_party/cutlass' 2025-08-26T21:58:38.3216692Z Entering 'third_party/fbgemm' 2025-08-26T21:58:38.3266494Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-26T21:58:38.3312971Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-26T21:58:38.3366846Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-26T21:58:38.3403477Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-26T21:58:38.3478006Z Entering 'third_party/fbgemm/external/googletest' 2025-08-26T21:58:38.3536616Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-26T21:58:38.3587031Z Entering 'third_party/fbgemm/external/json' 2025-08-26T21:58:38.3634434Z Entering 'third_party/flash-attention' 2025-08-26T21:58:38.3674694Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T21:58:38.3725445Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-26T21:58:38.3784063Z Entering 'third_party/flatbuffers' 2025-08-26T21:58:38.3832777Z Entering 'third_party/fmt' 2025-08-26T21:58:38.3884348Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-26T21:58:38.3957237Z Entering 'third_party/gloo' 2025-08-26T21:58:38.4002033Z Entering 'third_party/googletest' 2025-08-26T21:58:38.4052355Z Entering 'third_party/ideep' 2025-08-26T21:58:38.4094947Z Entering 'third_party/ideep/mkl-dnn' 2025-08-26T21:58:38.4160889Z Entering 'third_party/ittapi' 2025-08-26T21:58:38.4224137Z Entering 'third_party/kineto' 2025-08-26T21:58:38.4273147Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T21:58:38.4326815Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T21:58:38.4378271Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T21:58:38.4421097Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T21:58:38.4468997Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T21:58:38.4522998Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T21:58:38.4566615Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T21:58:38.4606403Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T21:58:38.4646697Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T21:58:38.4684742Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T21:58:38.4724008Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T21:58:38.4761224Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T21:58:38.4801142Z Entering 'third_party/kleidiai' 2025-08-26T21:58:38.4848430Z Entering 'third_party/mimalloc' 2025-08-26T21:58:38.4891647Z Entering 'third_party/nlohmann' 2025-08-26T21:58:38.4934790Z Entering 'third_party/onnx' 2025-08-26T21:58:38.4991524Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-26T21:58:38.5049846Z Entering 'third_party/opentelemetry-cpp' 2025-08-26T21:58:38.5099395Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T21:58:38.5149202Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T21:58:38.5213473Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T21:58:38.5283526Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T21:58:38.5334677Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T21:58:38.5372123Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T21:58:38.5419111Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T21:58:38.5457662Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T21:58:38.5518703Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T21:58:38.5574866Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T21:58:38.5634460Z Entering 'third_party/pocketfft' 2025-08-26T21:58:38.5680419Z Entering 'third_party/protobuf' 2025-08-26T21:58:38.5730139Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-26T21:58:38.5780340Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-26T21:58:38.5823646Z Entering 'third_party/psimd' 2025-08-26T21:58:38.5874352Z Entering 'third_party/pthreadpool' 2025-08-26T21:58:38.5918478Z Entering 'third_party/pybind11' 2025-08-26T21:58:38.5956990Z Entering 'third_party/python-peachpy' 2025-08-26T21:58:38.5995166Z Entering 'third_party/sleef' 2025-08-26T21:58:38.6033388Z Entering 'third_party/tensorpipe' 2025-08-26T21:58:38.6082636Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T21:58:38.6122684Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T21:58:38.6158838Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T21:58:38.6208386Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T21:58:38.6257554Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T21:58:38.6337064Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-26T21:58:38.6369118Z http.https://github.com/.extraheader 2025-08-26T21:58:38.6388210Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-26T21:58:38.6444138Z [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' || :" 2025-08-26T21:58:38.6816316Z Entering 'android/libs/fbjni' 2025-08-26T21:58:38.6853180Z http.https://github.com/.extraheader 2025-08-26T21:58:38.6904815Z Entering 'third_party/FP16' 2025-08-26T21:58:38.6932165Z http.https://github.com/.extraheader 2025-08-26T21:58:38.6974617Z Entering 'third_party/FXdiv' 2025-08-26T21:58:38.6996253Z http.https://github.com/.extraheader 2025-08-26T21:58:38.7028528Z Entering 'third_party/NNPACK' 2025-08-26T21:58:38.7052995Z http.https://github.com/.extraheader 2025-08-26T21:58:38.7087179Z Entering 'third_party/NVTX' 2025-08-26T21:58:38.7108173Z http.https://github.com/.extraheader 2025-08-26T21:58:38.7155143Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-26T21:58:38.7179073Z http.https://github.com/.extraheader 2025-08-26T21:58:38.7215504Z Entering 'third_party/XNNPACK' 2025-08-26T21:58:38.7236512Z http.https://github.com/.extraheader 2025-08-26T21:58:38.7286599Z Entering 'third_party/aiter' 2025-08-26T21:58:38.7307367Z http.https://github.com/.extraheader 2025-08-26T21:58:38.7355628Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-26T21:58:38.7374100Z http.https://github.com/.extraheader 2025-08-26T21:58:38.7438461Z Entering 'third_party/benchmark' 2025-08-26T21:58:38.7479711Z http.https://github.com/.extraheader 2025-08-26T21:58:38.7519216Z Entering 'third_party/composable_kernel' 2025-08-26T21:58:38.7546017Z http.https://github.com/.extraheader 2025-08-26T21:58:38.7600232Z Entering 'third_party/cpp-httplib' 2025-08-26T21:58:38.7623829Z http.https://github.com/.extraheader 2025-08-26T21:58:38.7671027Z Entering 'third_party/cpuinfo' 2025-08-26T21:58:38.7706105Z http.https://github.com/.extraheader 2025-08-26T21:58:38.7755402Z Entering 'third_party/cudnn_frontend' 2025-08-26T21:58:38.7781415Z http.https://github.com/.extraheader 2025-08-26T21:58:38.7824855Z Entering 'third_party/cutlass' 2025-08-26T21:58:38.7858308Z http.https://github.com/.extraheader 2025-08-26T21:58:38.7920397Z Entering 'third_party/fbgemm' 2025-08-26T21:58:38.7946894Z http.https://github.com/.extraheader 2025-08-26T21:58:38.7984231Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-26T21:58:38.8010010Z http.https://github.com/.extraheader 2025-08-26T21:58:38.8063812Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-26T21:58:38.8090974Z http.https://github.com/.extraheader 2025-08-26T21:58:38.8156028Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-26T21:58:38.8181054Z http.https://github.com/.extraheader 2025-08-26T21:58:38.8223741Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-26T21:58:38.8251278Z http.https://github.com/.extraheader 2025-08-26T21:58:38.8293301Z Entering 'third_party/fbgemm/external/googletest' 2025-08-26T21:58:38.8324664Z http.https://github.com/.extraheader 2025-08-26T21:58:38.8368595Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-26T21:58:38.8403212Z http.https://github.com/.extraheader 2025-08-26T21:58:38.8443588Z Entering 'third_party/fbgemm/external/json' 2025-08-26T21:58:38.8468386Z http.https://github.com/.extraheader 2025-08-26T21:58:38.8523815Z Entering 'third_party/flash-attention' 2025-08-26T21:58:38.8556314Z http.https://github.com/.extraheader 2025-08-26T21:58:38.8601490Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-26T21:58:38.8632174Z http.https://github.com/.extraheader 2025-08-26T21:58:38.8673275Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-26T21:58:38.8707391Z http.https://github.com/.extraheader 2025-08-26T21:58:38.8769260Z Entering 'third_party/flatbuffers' 2025-08-26T21:58:38.8799310Z http.https://github.com/.extraheader 2025-08-26T21:58:38.8846649Z Entering 'third_party/fmt' 2025-08-26T21:58:38.8876513Z http.https://github.com/.extraheader 2025-08-26T21:58:38.8921134Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-26T21:58:38.8953118Z http.https://github.com/.extraheader 2025-08-26T21:58:38.9002078Z Entering 'third_party/gloo' 2025-08-26T21:58:38.9033752Z http.https://github.com/.extraheader 2025-08-26T21:58:38.9078251Z Entering 'third_party/googletest' 2025-08-26T21:58:38.9107468Z http.https://github.com/.extraheader 2025-08-26T21:58:38.9163555Z Entering 'third_party/ideep' 2025-08-26T21:58:38.9194033Z http.https://github.com/.extraheader 2025-08-26T21:58:38.9232600Z Entering 'third_party/ideep/mkl-dnn' 2025-08-26T21:58:38.9253039Z http.https://github.com/.extraheader 2025-08-26T21:58:38.9318685Z Entering 'third_party/ittapi' 2025-08-26T21:58:38.9346376Z http.https://github.com/.extraheader 2025-08-26T21:58:38.9399499Z Entering 'third_party/kineto' 2025-08-26T21:58:38.9426007Z http.https://github.com/.extraheader 2025-08-26T21:58:38.9467640Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-26T21:58:38.9499106Z http.https://github.com/.extraheader 2025-08-26T21:58:38.9555610Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-26T21:58:38.9589461Z http.https://github.com/.extraheader 2025-08-26T21:58:38.9639317Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-26T21:58:38.9661744Z http.https://github.com/.extraheader 2025-08-26T21:58:38.9704226Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-26T21:58:38.9731394Z http.https://github.com/.extraheader 2025-08-26T21:58:38.9767718Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-26T21:58:38.9790802Z http.https://github.com/.extraheader 2025-08-26T21:58:38.9834632Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-26T21:58:38.9853720Z http.https://github.com/.extraheader 2025-08-26T21:58:38.9893991Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-26T21:58:38.9914548Z http.https://github.com/.extraheader 2025-08-26T21:58:38.9949523Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-26T21:58:38.9970526Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0000608Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-26T21:58:39.0019965Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0056809Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-26T21:58:39.0079584Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0114603Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-26T21:58:39.0134477Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0164230Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-26T21:58:39.0184790Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0225052Z Entering 'third_party/kleidiai' 2025-08-26T21:58:39.0248329Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0283779Z Entering 'third_party/mimalloc' 2025-08-26T21:58:39.0305989Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0337536Z Entering 'third_party/nlohmann' 2025-08-26T21:58:39.0363581Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0394522Z Entering 'third_party/onnx' 2025-08-26T21:58:39.0417625Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0465652Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-26T21:58:39.0489979Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0523304Z Entering 'third_party/opentelemetry-cpp' 2025-08-26T21:58:39.0544296Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0586073Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-26T21:58:39.0611832Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0649764Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-26T21:58:39.0673560Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0703879Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-26T21:58:39.0724002Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0759099Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-26T21:58:39.0779251Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0813709Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-26T21:58:39.0833764Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0868754Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-26T21:58:39.0893939Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0928689Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-26T21:58:39.0947859Z http.https://github.com/.extraheader 2025-08-26T21:58:39.0986191Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-26T21:58:39.1009738Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1052131Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-26T21:58:39.1076700Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1109348Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-26T21:58:39.1129903Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1183707Z Entering 'third_party/pocketfft' 2025-08-26T21:58:39.1206797Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1243247Z Entering 'third_party/protobuf' 2025-08-26T21:58:39.1266964Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1298857Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-26T21:58:39.1325407Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1356860Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-26T21:58:39.1376259Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1413537Z Entering 'third_party/psimd' 2025-08-26T21:58:39.1436894Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1467148Z Entering 'third_party/pthreadpool' 2025-08-26T21:58:39.1488955Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1523931Z Entering 'third_party/pybind11' 2025-08-26T21:58:39.1557876Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1591215Z Entering 'third_party/python-peachpy' 2025-08-26T21:58:39.1620797Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1650808Z Entering 'third_party/sleef' 2025-08-26T21:58:39.1670936Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1705187Z Entering 'third_party/tensorpipe' 2025-08-26T21:58:39.1729603Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1758641Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-26T21:58:39.1780688Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1814153Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-26T21:58:39.1833807Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1877834Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-26T21:58:39.1897073Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1936728Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-26T21:58:39.1966514Z http.https://github.com/.extraheader 2025-08-26T21:58:39.1997655Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-26T21:58:39.2020011Z http.https://github.com/.extraheader 2025-08-26T21:58:39.2262872Z Cleaning up orphan processes