2025-08-26T20:19:21.9725155Z Current runner version: '2.328.0'
2025-08-26T20:19:21.9730674Z Runner name: 'i-08b62a2473888d64c'
2025-08-26T20:19:21.9731362Z Runner group name: 'default'
2025-08-26T20:19:21.9732252Z Machine name: 'ip-10-0-49-220'
2025-08-26T20:19:21.9734945Z ##[group]GITHUB_TOKEN Permissions
2025-08-26T20:19:21.9737117Z Contents: read
2025-08-26T20:19:21.9737820Z Metadata: read
2025-08-26T20:19:21.9738315Z ##[endgroup]
2025-08-26T20:19:21.9740232Z Secret source: Actions
2025-08-26T20:19:21.9740953Z Prepare workflow directory
2025-08-26T20:19:22.0218119Z Prepare all required actions
2025-08-26T20:19:22.0252068Z Getting action download info
2025-08-26T20:19:22.3249000Z Download action repository 'pytorch/test-infra@main' (SHA:0192d56cb596bb73b125bd368553908cc5c513f0)
2025-08-26T20:19:24.4867061Z Download action repository 'pytorch/pytorch@main' (SHA:6afd766401659e0ba40589939c2576a29e9c64e7)
2025-08-26T20:19:40.0511818Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-08-26T20:19:40.4233208Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-08-26T20:19:40.7099296Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-08-26T20:19:40.8875492Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-26T20:19:41.2091654Z Getting action download info
2025-08-26T20:19:41.3289671Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-08-26T20:19:41.6481986Z Getting action download info
2025-08-26T20:19:41.7546338Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-08-26T20:19:41.9735437Z Getting action download info
2025-08-26T20:19:42.0919834Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-08-26T20:19:42.2796213Z Getting action download info
2025-08-26T20:19:42.4333853Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (262640fd220236042fbf4443cc163c8838c84c3d)
2025-08-26T20:19:42.4337697Z ##[group] Inputs
2025-08-26T20:19:42.4338035Z   build-environment: linux-jammy-cuda12.8-py3.10-gcc11
2025-08-26T20:19:42.4340448Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}
2025-08-26T20:19:42.4343367Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:19:42.4343998Z   sync-tag: 
2025-08-26T20:19:42.4344683Z   timeout-minutes: 360
2025-08-26T20:19:42.4344899Z   use-gha: 
2025-08-26T20:19:42.4345070Z   dashboard-tag: 
2025-08-26T20:19:42.4345268Z   s3-bucket: gha-artifacts
2025-08-26T20:19:42.4345476Z   aws-role-to-assume: 
2025-08-26T20:19:42.4345947Z   disable-monitor: false
2025-08-26T20:19:42.4346424Z   monitor-log-interval: 5
2025-08-26T20:19:42.4346816Z   monitor-data-collect-interval: 1
2025-08-26T20:19:42.4347077Z ##[endgroup]
2025-08-26T20:19:42.4347476Z Complete job name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-26T20:19:42.4993087Z A job started hook has been configured by the self-hosted runner administrator
2025-08-26T20:19:42.5087121Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-08-26T20:19:42.5096954Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:42.5097501Z ##[endgroup]
2025-08-26T20:19:43.7490941Z Runner Type: linux.g6.4xlarge.experimental.nvidia.gpu
2025-08-26T20:19:43.7491472Z Instance Type: g6.4xlarge
2025-08-26T20:19:43.7491695Z AMI Name: unknown
2025-08-26T20:19:43.7530229Z AMI ID: ami-05ffe3c48a9991133
2025-08-26T20:19:48.5076294Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-08-26T20:19:48.5076669Z with:
2025-08-26T20:19:48.5077155Z   github-secret: ***
2025-08-26T20:19:48.5077695Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-08-26T20:19:48.5078249Z   activate-with-label: false
2025-08-26T20:19:48.5078457Z   label: with-ssh
2025-08-26T20:19:48.5078645Z   remove-existing-keys: true
2025-08-26T20:19:48.5078852Z   fail-silently: true
2025-08-26T20:19:48.5079034Z env:
2025-08-26T20:19:48.5079186Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:48.5079383Z ##[endgroup]
2025-08-26T20:19:48.6295423Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-08-26T20:19:48.6296490Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-08-26T20:19:48.6450484Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-08-26T20:19:48.6450848Z with:
2025-08-26T20:19:48.6451012Z   no-sudo: true
2025-08-26T20:19:48.6451196Z   submodules: recursive
2025-08-26T20:19:48.6451405Z   fetch-depth: 0
2025-08-26T20:19:48.6451576Z env:
2025-08-26T20:19:48.6451728Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:48.6451923Z ##[endgroup]
2025-08-26T20:19:48.6522856Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:19:48.6523564Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:19:48.6535383Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:48.6535674Z env:
2025-08-26T20:19:48.6535874Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:48.6536107Z ##[endgroup]
2025-08-26T20:19:48.6627417Z ##[group]Run # Use all available CPUs for fetching
2025-08-26T20:19:48.6627743Z # Use all available CPUs for fetching
2025-08-26T20:19:48.6628001Z cd "${GITHUB_WORKSPACE}"
2025-08-26T20:19:48.6628255Z git config --global fetch.parallel 0
2025-08-26T20:19:48.6628556Z git config --global submodule.fetchJobs 0
2025-08-26T20:19:48.6628817Z 
2025-08-26T20:19:48.6629156Z # Clean workspace. The default checkout action should also do this, but
2025-08-26T20:19:48.6629527Z # do it here as well just in case
2025-08-26T20:19:48.6629768Z if [[ -d .git ]]; then
2025-08-26T20:19:48.6629997Z   if [ -z "${NO_SUDO}" ]; then
2025-08-26T20:19:48.6630232Z     sudo git clean -ffdx
2025-08-26T20:19:48.6630445Z   else
2025-08-26T20:19:48.6630618Z     git clean -ffdx
2025-08-26T20:19:48.6630820Z   fi
2025-08-26T20:19:48.6630985Z fi
2025-08-26T20:19:48.6637490Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:48.6637776Z env:
2025-08-26T20:19:48.6637946Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:48.6638145Z   NO_SUDO: true
2025-08-26T20:19:48.6638314Z ##[endgroup]
2025-08-26T20:19:48.6770608Z ##[group]Run actions/checkout@v4
2025-08-26T20:19:48.6771085Z with:
2025-08-26T20:19:48.6771277Z   ref: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:48.6771530Z   fetch-depth: 0
2025-08-26T20:19:48.6771713Z   submodules: recursive
2025-08-26T20:19:48.6771909Z   show-progress: false
2025-08-26T20:19:48.6772113Z   repository: pytorch/pytorch
2025-08-26T20:19:48.6772427Z   token: ***
2025-08-26T20:19:48.6772607Z   ssh-strict: true
2025-08-26T20:19:48.6772780Z   ssh-user: git
2025-08-26T20:19:48.6772965Z   persist-credentials: true
2025-08-26T20:19:48.6773169Z   clean: true
2025-08-26T20:19:48.6773354Z   sparse-checkout-cone-mode: true
2025-08-26T20:19:48.6773576Z   fetch-tags: false
2025-08-26T20:19:48.6773747Z   lfs: false
2025-08-26T20:19:48.6773911Z   set-safe-directory: true
2025-08-26T20:19:48.6774109Z env:
2025-08-26T20:19:48.6774268Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:48.6774457Z ##[endgroup]
2025-08-26T20:19:48.7736602Z Syncing repository: pytorch/pytorch
2025-08-26T20:19:48.7737778Z ##[group]Getting Git version info
2025-08-26T20:19:48.7738198Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-26T20:19:48.7738711Z [command]/usr/bin/git version
2025-08-26T20:19:48.7877819Z git version 2.47.1
2025-08-26T20:19:48.7902926Z ##[endgroup]
2025-08-26T20:19:48.7911746Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/43e6ff6f-ed8b-4b04-a008-ee80d3bd73f1/.gitconfig'
2025-08-26T20:19:48.7930818Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/43e6ff6f-ed8b-4b04-a008-ee80d3bd73f1' before making global git config changes
2025-08-26T20:19:48.7931733Z Adding repository directory to the temporary git global config as a safe directory
2025-08-26T20:19:48.7935446Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:19:48.7991060Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-26T20:19:48.7994137Z ##[group]Initializing the repository
2025-08-26T20:19:48.7997603Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:19:48.8051586Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-08-26T20:19:48.8052134Z hint: is subject to change. To configure the initial branch name to use in all
2025-08-26T20:19:48.8052657Z hint: of your new repositories, which will suppress this warning, call:
2025-08-26T20:19:48.8053023Z hint:
2025-08-26T20:19:48.8053309Z hint: 	git config --global init.defaultBranch <name>
2025-08-26T20:19:48.8053634Z hint:
2025-08-26T20:19:48.8054090Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-08-26T20:19:48.8055004Z hint: 'development'. The just-created branch can be renamed via this command:
2025-08-26T20:19:48.8055744Z hint:
2025-08-26T20:19:48.8056119Z hint: 	git branch -m <name>
2025-08-26T20:19:48.8065435Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-08-26T20:19:48.8075282Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-08-26T20:19:48.8112153Z ##[endgroup]
2025-08-26T20:19:48.8112610Z ##[group]Disabling automatic garbage collection
2025-08-26T20:19:48.8116202Z [command]/usr/bin/git config --local gc.auto 0
2025-08-26T20:19:48.8144323Z ##[endgroup]
2025-08-26T20:19:48.8144712Z ##[group]Setting up auth
2025-08-26T20:19:48.8150320Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-26T20:19:48.8179581Z [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' || :"
2025-08-26T20:19:48.8548846Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-26T20:19:48.8577714Z [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' || :"
2025-08-26T20:19:48.8939319Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-26T20:19:48.8977840Z ##[endgroup]
2025-08-26T20:19:48.8978463Z ##[group]Fetching the repository
2025-08-26T20:19:48.8984688Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-08-26T20:20:31.2502692Z From https://github.com/pytorch/pytorch
2025-08-26T20:20:31.2503328Z  * [new branch]              160583                      -> origin/160583
2025-08-26T20:20:31.2503804Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-08-26T20:20:31.2504294Z  * [new branch]              5addvllmbuild               -> origin/5addvllmbuild
2025-08-26T20:20:31.2504848Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-08-26T20:20:31.2506388Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-08-26T20:20:31.2508111Z  * [new branch]              ISSUE-154849                -> origin/ISSUE-154849
2025-08-26T20:20:31.2510549Z  * [new branch]              JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops
2025-08-26T20:20:31.2512751Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-08-26T20:20:31.2514875Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-08-26T20:20:31.2516237Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-08-26T20:20:31.2518281Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-08-26T20:20:31.2519526Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-08-26T20:20:31.2521458Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-08-26T20:20:31.2523125Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-08-26T20:20:31.2525058Z  * [new branch]              add-missing-args-normalization -> origin/add-missing-args-normalization
2025-08-26T20:20:31.2526863Z  * [new branch]              add-user-guide-structure    -> origin/add-user-guide-structure
2025-08-26T20:20:31.2528821Z  * [new branch]              addVllmPin                  -> origin/addVllmPin
2025-08-26T20:20:31.2530582Z  * [new branch]              add_compile_benchmarking    -> origin/add_compile_benchmarking
2025-08-26T20:20:31.2532286Z  * [new branch]              add_windows_testing_back    -> origin/add_windows_testing_back
2025-08-26T20:20:31.2534096Z  * [new branch]              addbuildvllm                -> origin/addbuildvllm
2025-08-26T20:20:31.2535883Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-08-26T20:20:31.2537569Z  * [new branch]              addsimde                    -> origin/addsimde
2025-08-26T20:20:31.2539957Z  * [new branch]              adi/acl_upgrade             -> origin/adi/acl_upgrade
2025-08-26T20:20:31.2541592Z  * [new branch]              adi/test                    -> origin/adi/test
2025-08-26T20:20:31.2543701Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-08-26T20:20:31.2545219Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-08-26T20:20:31.2546831Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-08-26T20:20:31.2548511Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-08-26T20:20:31.2550221Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-08-26T20:20:31.2552068Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-08-26T20:20:31.2554970Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-08-26T20:20:31.2556884Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-08-26T20:20:31.2558493Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-08-26T20:20:31.2560909Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-08-26T20:20:31.2562560Z  * [new branch]              angelayi/aoti_inductor_fx   -> origin/angelayi/aoti_inductor_fx
2025-08-26T20:20:31.2564257Z  * [new branch]              angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device
2025-08-26T20:20:31.2565838Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-08-26T20:20:31.2567572Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-08-26T20:20:31.2569620Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-08-26T20:20:31.2571420Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-08-26T20:20:31.2573553Z  * [new branch]              angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph
2025-08-26T20:20:31.2575259Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-08-26T20:20:31.2576985Z  * [new branch]              angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing
2025-08-26T20:20:31.2578791Z  * [new branch]              angelayi/logging.bak        -> origin/angelayi/logging.bak
2025-08-26T20:20:31.2580496Z  * [new branch]              angelayi/logging2           -> origin/angelayi/logging2
2025-08-26T20:20:31.2582365Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-08-26T20:20:31.2583922Z  * [new branch]              angelayi/opoverload         -> origin/angelayi/opoverload
2025-08-26T20:20:31.2585570Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-08-26T20:20:31.2587401Z  * [new branch]              angelayi/save_error         -> origin/angelayi/save_error
2025-08-26T20:20:31.2589024Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-08-26T20:20:31.2590735Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-08-26T20:20:31.2592483Z  * [new branch]              angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta
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2025-08-26T20:20:32.1280080Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-08-26T20:20:32.1281650Z  * [new branch]              zxiiro/test                 -> origin/zxiiro/test
2025-08-26T20:20:32.1283331Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-08-26T20:20:32.1284811Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-08-26T20:20:32.1286386Z  * [new tag]                 ciflow/binaries/153920      -> ciflow/binaries/153920
2025-08-26T20:20:32.1287282Z  * [new tag]                 ciflow/binaries/158104      -> ciflow/binaries/158104
2025-08-26T20:20:32.1288717Z  * [new tag]                 ciflow/binaries/160229      -> ciflow/binaries/160229
2025-08-26T20:20:32.1289877Z  * [new tag]                 ciflow/binaries/160853      -> ciflow/binaries/160853
2025-08-26T20:20:32.1290798Z  * [new tag]                 ciflow/binaries/161257      -> ciflow/binaries/161257
2025-08-26T20:20:32.1292241Z  * [new tag]                 ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049
2025-08-26T20:20:32.1293389Z  * [new tag]                 ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049
2025-08-26T20:20:32.1294582Z  * [new tag]                 ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733
2025-08-26T20:20:32.1295774Z  * [new tag]                 ciflow/binaries_wheel/160207 -> ciflow/binaries_wheel/160207
2025-08-26T20:20:32.1297150Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-08-26T20:20:32.1298204Z  * [new tag]                 ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923
2025-08-26T20:20:32.1299240Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-08-26T20:20:32.1300455Z  * [new tag]                 ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562
2025-08-26T20:20:32.1301513Z  * [new tag]                 ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889
2025-08-26T20:20:32.1302553Z  * [new tag]                 ciflow/h100-symm-mem/160825 -> ciflow/h100-symm-mem/160825
2025-08-26T20:20:32.1303605Z  * [new tag]                 ciflow/h100-symm-mem/161008 -> ciflow/h100-symm-mem/161008
2025-08-26T20:20:32.1304678Z  * [new tag]                 ciflow/h100-symm-mem/161090 -> ciflow/h100-symm-mem/161090
2025-08-26T20:20:32.1305855Z  * [new tag]                 ciflow/h100-symm-mem/161214 -> ciflow/h100-symm-mem/161214
2025-08-26T20:20:32.1306851Z  * [new tag]                 ciflow/h100-symm-mem/161217 -> ciflow/h100-symm-mem/161217
2025-08-26T20:20:32.1307892Z  * [new tag]                 ciflow/h100-symm-mem/161232 -> ciflow/h100-symm-mem/161232
2025-08-26T20:20:32.1309218Z  * [new tag]                 ciflow/h100-symm-mem/161257 -> ciflow/h100-symm-mem/161257
2025-08-26T20:20:32.1310639Z  * [new tag]                 ciflow/h100-symm-mem/161309 -> ciflow/h100-symm-mem/161309
2025-08-26T20:20:32.1312013Z  * [new tag]                 ciflow/h100-symm-mem/161470 -> ciflow/h100-symm-mem/161470
2025-08-26T20:20:32.1313140Z  * [new tag]                 ciflow/h100-symm-mem/161471 -> ciflow/h100-symm-mem/161471
2025-08-26T20:20:32.1314329Z  * [new tag]                 ciflow/h100-symm-mem/161532 -> ciflow/h100-symm-mem/161532
2025-08-26T20:20:32.1315461Z  * [new tag]                 ciflow/h100-symm-mem/161533 -> ciflow/h100-symm-mem/161533
2025-08-26T20:20:32.1316858Z  * [new tag]                 ciflow/h100/159158          -> ciflow/h100/159158
2025-08-26T20:20:32.1317878Z  * [new tag]                 ciflow/h100/161225          -> ciflow/h100/161225
2025-08-26T20:20:32.1319328Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845
2025-08-26T20:20:32.1320683Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/161512 -> ciflow/inductor-perf-test-nightly-x86-zen/161512
2025-08-26T20:20:32.1322223Z  * [new tag]                 ciflow/inductor-periodic/158137 -> ciflow/inductor-periodic/158137
2025-08-26T20:20:32.1323283Z  * [new tag]                 ciflow/inductor-periodic/160807 -> ciflow/inductor-periodic/160807
2025-08-26T20:20:32.1324319Z  * [new tag]                 ciflow/inductor-periodic/161461 -> ciflow/inductor-periodic/161461
2025-08-26T20:20:32.1325347Z  * [new tag]                 ciflow/inductor-periodic/161536 -> ciflow/inductor-periodic/161536
2025-08-26T20:20:32.1326684Z  * [new tag]                 ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6
2025-08-26T20:20:32.1328214Z  * [new tag]                 ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed -> ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed
2025-08-26T20:20:32.1329726Z  * [new tag]                 ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073 -> ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073
2025-08-26T20:20:32.1330781Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-08-26T20:20:32.1331800Z  * [new tag]                 ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158
2025-08-26T20:20:32.1333062Z  * [new tag]                 ciflow/inductor-rocm/160671 -> ciflow/inductor-rocm/160671
2025-08-26T20:20:32.1334216Z  * [new tag]                 ciflow/inductor-rocm/161180 -> ciflow/inductor-rocm/161180
2025-08-26T20:20:32.1335228Z  * [new tag]                 ciflow/inductor-rocm/161225 -> ciflow/inductor-rocm/161225
2025-08-26T20:20:32.1336474Z  * [new tag]                 ciflow/inductor-rocm/161521 -> ciflow/inductor-rocm/161521
2025-08-26T20:20:32.1337947Z  * [new tag]                 ciflow/inductor-windows/160406 -> ciflow/inductor-windows/160406
2025-08-26T20:20:32.1339220Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-08-26T20:20:32.1340321Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-08-26T20:20:32.1341358Z  * [new tag]                 ciflow/inductor/154694      -> ciflow/inductor/154694
2025-08-26T20:20:32.1342376Z  * [new tag]                 ciflow/inductor/155072      -> ciflow/inductor/155072
2025-08-26T20:20:32.1343453Z  * [new tag]                 ciflow/inductor/155152      -> ciflow/inductor/155152
2025-08-26T20:20:32.1346374Z  * [new tag]                 ciflow/inductor/155153      -> ciflow/inductor/155153
2025-08-26T20:20:32.1347266Z  * [new tag]                 ciflow/inductor/155154      -> ciflow/inductor/155154
2025-08-26T20:20:32.1348327Z  * [new tag]                 ciflow/inductor/155501      -> ciflow/inductor/155501
2025-08-26T20:20:32.1349361Z  * [new tag]                 ciflow/inductor/155502      -> ciflow/inductor/155502
2025-08-26T20:20:32.1350409Z  * [new tag]                 ciflow/inductor/155503      -> ciflow/inductor/155503
2025-08-26T20:20:32.1351421Z  * [new tag]                 ciflow/inductor/155557      -> ciflow/inductor/155557
2025-08-26T20:20:32.1352770Z  * [new tag]                 ciflow/inductor/155608      -> ciflow/inductor/155608
2025-08-26T20:20:32.1354122Z  * [new tag]                 ciflow/inductor/155923      -> ciflow/inductor/155923
2025-08-26T20:20:32.1355464Z  * [new tag]                 ciflow/inductor/155928      -> ciflow/inductor/155928
2025-08-26T20:20:32.1357109Z  * [new tag]                 ciflow/inductor/156875      -> ciflow/inductor/156875
2025-08-26T20:20:32.1358198Z  * [new tag]                 ciflow/inductor/156967      -> ciflow/inductor/156967
2025-08-26T20:20:32.1359273Z  * [new tag]                 ciflow/inductor/157298      -> ciflow/inductor/157298
2025-08-26T20:20:32.1360416Z  * [new tag]                 ciflow/inductor/157572      -> ciflow/inductor/157572
2025-08-26T20:20:32.1361528Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-08-26T20:20:32.1362770Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-08-26T20:20:32.1363881Z  * [new tag]                 ciflow/inductor/157767      -> ciflow/inductor/157767
2025-08-26T20:20:32.1365067Z  * [new tag]                 ciflow/inductor/157944      -> ciflow/inductor/157944
2025-08-26T20:20:32.1366189Z  * [new tag]                 ciflow/inductor/158061      -> ciflow/inductor/158061
2025-08-26T20:20:32.1367329Z  * [new tag]                 ciflow/inductor/158097      -> ciflow/inductor/158097
2025-08-26T20:20:32.1374415Z  * [new tag]                 ciflow/inductor/158098      -> ciflow/inductor/158098
2025-08-26T20:20:32.1374574Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-08-26T20:20:32.1374718Z  * [new tag]                 ciflow/inductor/158137      -> ciflow/inductor/158137
2025-08-26T20:20:32.1375007Z  * [new tag]                 ciflow/inductor/158321      -> ciflow/inductor/158321
2025-08-26T20:20:32.1375147Z  * [new tag]                 ciflow/inductor/158609      -> ciflow/inductor/158609
2025-08-26T20:20:32.1375275Z  * [new tag]                 ciflow/inductor/158932      -> ciflow/inductor/158932
2025-08-26T20:20:32.1375403Z  * [new tag]                 ciflow/inductor/159003      -> ciflow/inductor/159003
2025-08-26T20:20:32.1376542Z  * [new tag]                 ciflow/inductor/159158      -> ciflow/inductor/159158
2025-08-26T20:20:32.1377767Z  * [new tag]                 ciflow/inductor/159274      -> ciflow/inductor/159274
2025-08-26T20:20:32.1378917Z  * [new tag]                 ciflow/inductor/159387      -> ciflow/inductor/159387
2025-08-26T20:20:32.1380104Z  * [new tag]                 ciflow/inductor/159473      -> ciflow/inductor/159473
2025-08-26T20:20:32.1381206Z  * [new tag]                 ciflow/inductor/159664      -> ciflow/inductor/159664
2025-08-26T20:20:32.1382317Z  * [new tag]                 ciflow/inductor/159678      -> ciflow/inductor/159678
2025-08-26T20:20:32.1383749Z  * [new tag]                 ciflow/inductor/159778      -> ciflow/inductor/159778
2025-08-26T20:20:32.1384833Z  * [new tag]                 ciflow/inductor/159786      -> ciflow/inductor/159786
2025-08-26T20:20:32.1385943Z  * [new tag]                 ciflow/inductor/159817      -> ciflow/inductor/159817
2025-08-26T20:20:32.1387058Z  * [new tag]                 ciflow/inductor/159835      -> ciflow/inductor/159835
2025-08-26T20:20:32.1388180Z  * [new tag]                 ciflow/inductor/159889      -> ciflow/inductor/159889
2025-08-26T20:20:32.1389524Z  * [new tag]                 ciflow/inductor/159923      -> ciflow/inductor/159923
2025-08-26T20:20:32.1390674Z  * [new tag]                 ciflow/inductor/159944      -> ciflow/inductor/159944
2025-08-26T20:20:32.1391780Z  * [new tag]                 ciflow/inductor/160080      -> ciflow/inductor/160080
2025-08-26T20:20:32.1393073Z  * [new tag]                 ciflow/inductor/160111      -> ciflow/inductor/160111
2025-08-26T20:20:32.1394179Z  * [new tag]                 ciflow/inductor/160138      -> ciflow/inductor/160138
2025-08-26T20:20:32.1395285Z  * [new tag]                 ciflow/inductor/160156      -> ciflow/inductor/160156
2025-08-26T20:20:32.1396665Z  * [new tag]                 ciflow/inductor/160180      -> ciflow/inductor/160180
2025-08-26T20:20:32.1398400Z  * [new tag]                 ciflow/inductor/160198      -> ciflow/inductor/160198
2025-08-26T20:20:32.1399658Z  * [new tag]                 ciflow/inductor/160258      -> ciflow/inductor/160258
2025-08-26T20:20:32.1400789Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-08-26T20:20:32.1401895Z  * [new tag]                 ciflow/inductor/160282      -> ciflow/inductor/160282
2025-08-26T20:20:32.1403194Z  * [new tag]                 ciflow/inductor/160323      -> ciflow/inductor/160323
2025-08-26T20:20:32.1404564Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-08-26T20:20:32.1405855Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-08-26T20:20:32.1407176Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-08-26T20:20:32.1408395Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-08-26T20:20:32.1409637Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-08-26T20:20:32.1411013Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-08-26T20:20:32.1412312Z  * [new tag]                 ciflow/inductor/160431      -> ciflow/inductor/160431
2025-08-26T20:20:32.1413471Z  * [new tag]                 ciflow/inductor/160448      -> ciflow/inductor/160448
2025-08-26T20:20:32.1414580Z  * [new tag]                 ciflow/inductor/160449      -> ciflow/inductor/160449
2025-08-26T20:20:32.1415727Z  * [new tag]                 ciflow/inductor/160467      -> ciflow/inductor/160467
2025-08-26T20:20:32.1416813Z  * [new tag]                 ciflow/inductor/160470      -> ciflow/inductor/160470
2025-08-26T20:20:32.1417947Z  * [new tag]                 ciflow/inductor/160483      -> ciflow/inductor/160483
2025-08-26T20:20:32.1419065Z  * [new tag]                 ciflow/inductor/160527      -> ciflow/inductor/160527
2025-08-26T20:20:32.1420497Z  * [new tag]                 ciflow/inductor/160532      -> ciflow/inductor/160532
2025-08-26T20:20:32.1422183Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-08-26T20:20:32.1423392Z  * [new tag]                 ciflow/inductor/160580      -> ciflow/inductor/160580
2025-08-26T20:20:32.1424537Z  * [new tag]                 ciflow/inductor/160601      -> ciflow/inductor/160601
2025-08-26T20:20:32.1425658Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-08-26T20:20:32.1426782Z  * [new tag]                 ciflow/inductor/160669      -> ciflow/inductor/160669
2025-08-26T20:20:32.1427896Z  * [new tag]                 ciflow/inductor/160670      -> ciflow/inductor/160670
2025-08-26T20:20:32.1429005Z  * [new tag]                 ciflow/inductor/160671      -> ciflow/inductor/160671
2025-08-26T20:20:32.1430250Z  * [new tag]                 ciflow/inductor/160677      -> ciflow/inductor/160677
2025-08-26T20:20:32.1431378Z  * [new tag]                 ciflow/inductor/160690      -> ciflow/inductor/160690
2025-08-26T20:20:32.1432524Z  * [new tag]                 ciflow/inductor/160763      -> ciflow/inductor/160763
2025-08-26T20:20:32.1433718Z  * [new tag]                 ciflow/inductor/160772      -> ciflow/inductor/160772
2025-08-26T20:20:32.1434912Z  * [new tag]                 ciflow/inductor/160798      -> ciflow/inductor/160798
2025-08-26T20:20:32.1436079Z  * [new tag]                 ciflow/inductor/160807      -> ciflow/inductor/160807
2025-08-26T20:20:32.1437365Z  * [new tag]                 ciflow/inductor/160836      -> ciflow/inductor/160836
2025-08-26T20:20:32.1438460Z  * [new tag]                 ciflow/inductor/160861      -> ciflow/inductor/160861
2025-08-26T20:20:32.1439586Z  * [new tag]                 ciflow/inductor/160883      -> ciflow/inductor/160883
2025-08-26T20:20:32.1440698Z  * [new tag]                 ciflow/inductor/160888      -> ciflow/inductor/160888
2025-08-26T20:20:32.1441842Z  * [new tag]                 ciflow/inductor/160903      -> ciflow/inductor/160903
2025-08-26T20:20:32.1443123Z  * [new tag]                 ciflow/inductor/160913      -> ciflow/inductor/160913
2025-08-26T20:20:32.1444411Z  * [new tag]                 ciflow/inductor/160941      -> ciflow/inductor/160941
2025-08-26T20:20:32.1445578Z  * [new tag]                 ciflow/inductor/160943      -> ciflow/inductor/160943
2025-08-26T20:20:32.1446670Z  * [new tag]                 ciflow/inductor/160991      -> ciflow/inductor/160991
2025-08-26T20:20:32.1447999Z  * [new tag]                 ciflow/inductor/160997      -> ciflow/inductor/160997
2025-08-26T20:20:32.1449114Z  * [new tag]                 ciflow/inductor/161003      -> ciflow/inductor/161003
2025-08-26T20:20:32.1450287Z  * [new tag]                 ciflow/inductor/161026      -> ciflow/inductor/161026
2025-08-26T20:20:32.1451401Z  * [new tag]                 ciflow/inductor/161032      -> ciflow/inductor/161032
2025-08-26T20:20:32.1452687Z  * [new tag]                 ciflow/inductor/161040      -> ciflow/inductor/161040
2025-08-26T20:20:32.1453825Z  * [new tag]                 ciflow/inductor/161055      -> ciflow/inductor/161055
2025-08-26T20:20:32.1455025Z  * [new tag]                 ciflow/inductor/161062      -> ciflow/inductor/161062
2025-08-26T20:20:32.1456151Z  * [new tag]                 ciflow/inductor/161069      -> ciflow/inductor/161069
2025-08-26T20:20:32.1457269Z  * [new tag]                 ciflow/inductor/161092      -> ciflow/inductor/161092
2025-08-26T20:20:32.1458390Z  * [new tag]                 ciflow/inductor/161093      -> ciflow/inductor/161093
2025-08-26T20:20:32.1459590Z  * [new tag]                 ciflow/inductor/161097      -> ciflow/inductor/161097
2025-08-26T20:20:32.1460760Z  * [new tag]                 ciflow/inductor/161098      -> ciflow/inductor/161098
2025-08-26T20:20:32.1461873Z  * [new tag]                 ciflow/inductor/161100      -> ciflow/inductor/161100
2025-08-26T20:20:32.1463134Z  * [new tag]                 ciflow/inductor/161107      -> ciflow/inductor/161107
2025-08-26T20:20:32.1464528Z  * [new tag]                 ciflow/inductor/161110      -> ciflow/inductor/161110
2025-08-26T20:20:32.1465644Z  * [new tag]                 ciflow/inductor/161117      -> ciflow/inductor/161117
2025-08-26T20:20:32.1466753Z  * [new tag]                 ciflow/inductor/161118      -> ciflow/inductor/161118
2025-08-26T20:20:32.1467870Z  * [new tag]                 ciflow/inductor/161123      -> ciflow/inductor/161123
2025-08-26T20:20:32.1469035Z  * [new tag]                 ciflow/inductor/161124      -> ciflow/inductor/161124
2025-08-26T20:20:32.1470130Z  * [new tag]                 ciflow/inductor/161125      -> ciflow/inductor/161125
2025-08-26T20:20:32.1471257Z  * [new tag]                 ciflow/inductor/161126      -> ciflow/inductor/161126
2025-08-26T20:20:32.1472489Z  * [new tag]                 ciflow/inductor/161144      -> ciflow/inductor/161144
2025-08-26T20:20:32.1473784Z  * [new tag]                 ciflow/inductor/161148      -> ciflow/inductor/161148
2025-08-26T20:20:32.1475309Z  * [new tag]                 ciflow/inductor/161158      -> ciflow/inductor/161158
2025-08-26T20:20:32.1476728Z  * [new tag]                 ciflow/inductor/161178      -> ciflow/inductor/161178
2025-08-26T20:20:32.1477988Z  * [new tag]                 ciflow/inductor/161190      -> ciflow/inductor/161190
2025-08-26T20:20:32.1479129Z  * [new tag]                 ciflow/inductor/161208      -> ciflow/inductor/161208
2025-08-26T20:20:32.1480191Z  * [new tag]                 ciflow/inductor/161225      -> ciflow/inductor/161225
2025-08-26T20:20:32.1481440Z  * [new tag]                 ciflow/inductor/161229      -> ciflow/inductor/161229
2025-08-26T20:20:32.1482620Z  * [new tag]                 ciflow/inductor/161237      -> ciflow/inductor/161237
2025-08-26T20:20:32.1483738Z  * [new tag]                 ciflow/inductor/161241      -> ciflow/inductor/161241
2025-08-26T20:20:32.1484978Z  * [new tag]                 ciflow/inductor/161246      -> ciflow/inductor/161246
2025-08-26T20:20:32.1486209Z  * [new tag]                 ciflow/inductor/161274      -> ciflow/inductor/161274
2025-08-26T20:20:32.1487487Z  * [new tag]                 ciflow/inductor/161278      -> ciflow/inductor/161278
2025-08-26T20:20:32.1488796Z  * [new tag]                 ciflow/inductor/161279      -> ciflow/inductor/161279
2025-08-26T20:20:32.1489902Z  * [new tag]                 ciflow/inductor/161288      -> ciflow/inductor/161288
2025-08-26T20:20:32.1491147Z  * [new tag]                 ciflow/inductor/161314      -> ciflow/inductor/161314
2025-08-26T20:20:32.1492327Z  * [new tag]                 ciflow/inductor/161320      -> ciflow/inductor/161320
2025-08-26T20:20:32.1493454Z  * [new tag]                 ciflow/inductor/161336      -> ciflow/inductor/161336
2025-08-26T20:20:32.1494572Z  * [new tag]                 ciflow/inductor/161337      -> ciflow/inductor/161337
2025-08-26T20:20:32.1495719Z  * [new tag]                 ciflow/inductor/161338      -> ciflow/inductor/161338
2025-08-26T20:20:32.1496867Z  * [new tag]                 ciflow/inductor/161339      -> ciflow/inductor/161339
2025-08-26T20:20:32.1498005Z  * [new tag]                 ciflow/inductor/161340      -> ciflow/inductor/161340
2025-08-26T20:20:32.1499195Z  * [new tag]                 ciflow/inductor/161341      -> ciflow/inductor/161341
2025-08-26T20:20:32.1500375Z  * [new tag]                 ciflow/inductor/161342      -> ciflow/inductor/161342
2025-08-26T20:20:32.1501491Z  * [new tag]                 ciflow/inductor/161343      -> ciflow/inductor/161343
2025-08-26T20:20:32.1502694Z  * [new tag]                 ciflow/inductor/161344      -> ciflow/inductor/161344
2025-08-26T20:20:32.1503807Z  * [new tag]                 ciflow/inductor/161345      -> ciflow/inductor/161345
2025-08-26T20:20:32.1504928Z  * [new tag]                 ciflow/inductor/161346      -> ciflow/inductor/161346
2025-08-26T20:20:32.1506043Z  * [new tag]                 ciflow/inductor/161347      -> ciflow/inductor/161347
2025-08-26T20:20:32.1507206Z  * [new tag]                 ciflow/inductor/161348      -> ciflow/inductor/161348
2025-08-26T20:20:32.1508328Z  * [new tag]                 ciflow/inductor/161349      -> ciflow/inductor/161349
2025-08-26T20:20:32.1509443Z  * [new tag]                 ciflow/inductor/161350      -> ciflow/inductor/161350
2025-08-26T20:20:32.1510586Z  * [new tag]                 ciflow/inductor/161351      -> ciflow/inductor/161351
2025-08-26T20:20:32.1511727Z  * [new tag]                 ciflow/inductor/161353      -> ciflow/inductor/161353
2025-08-26T20:20:32.1512855Z  * [new tag]                 ciflow/inductor/161354      -> ciflow/inductor/161354
2025-08-26T20:20:32.1514138Z  * [new tag]                 ciflow/inductor/161355      -> ciflow/inductor/161355
2025-08-26T20:20:32.1515288Z  * [new tag]                 ciflow/inductor/161362      -> ciflow/inductor/161362
2025-08-26T20:20:32.1516497Z  * [new tag]                 ciflow/inductor/161363      -> ciflow/inductor/161363
2025-08-26T20:20:32.1517639Z  * [new tag]                 ciflow/inductor/161382      -> ciflow/inductor/161382
2025-08-26T20:20:32.1518746Z  * [new tag]                 ciflow/inductor/161383      -> ciflow/inductor/161383
2025-08-26T20:20:32.1519938Z  * [new tag]                 ciflow/inductor/161385      -> ciflow/inductor/161385
2025-08-26T20:20:32.1521175Z  * [new tag]                 ciflow/inductor/161396      -> ciflow/inductor/161396
2025-08-26T20:20:32.1522378Z  * [new tag]                 ciflow/inductor/161397      -> ciflow/inductor/161397
2025-08-26T20:20:32.1523516Z  * [new tag]                 ciflow/inductor/161404      -> ciflow/inductor/161404
2025-08-26T20:20:32.1524665Z  * [new tag]                 ciflow/inductor/161405      -> ciflow/inductor/161405
2025-08-26T20:20:32.1525877Z  * [new tag]                 ciflow/inductor/161406      -> ciflow/inductor/161406
2025-08-26T20:20:32.1527167Z  * [new tag]                 ciflow/inductor/161409      -> ciflow/inductor/161409
2025-08-26T20:20:32.1528489Z  * [new tag]                 ciflow/inductor/161410      -> ciflow/inductor/161410
2025-08-26T20:20:32.1529649Z  * [new tag]                 ciflow/inductor/161414      -> ciflow/inductor/161414
2025-08-26T20:20:32.1530771Z  * [new tag]                 ciflow/inductor/161416      -> ciflow/inductor/161416
2025-08-26T20:20:32.1531879Z  * [new tag]                 ciflow/inductor/161420      -> ciflow/inductor/161420
2025-08-26T20:20:32.1533069Z  * [new tag]                 ciflow/inductor/161431      -> ciflow/inductor/161431
2025-08-26T20:20:32.1534253Z  * [new tag]                 ciflow/inductor/161435      -> ciflow/inductor/161435
2025-08-26T20:20:32.1535459Z  * [new tag]                 ciflow/inductor/161440      -> ciflow/inductor/161440
2025-08-26T20:20:32.1536669Z  * [new tag]                 ciflow/inductor/161447      -> ciflow/inductor/161447
2025-08-26T20:20:32.1537813Z  * [new tag]                 ciflow/inductor/161452      -> ciflow/inductor/161452
2025-08-26T20:20:32.1539058Z  * [new tag]                 ciflow/inductor/161453      -> ciflow/inductor/161453
2025-08-26T20:20:32.1540133Z  * [new tag]                 ciflow/inductor/161458      -> ciflow/inductor/161458
2025-08-26T20:20:32.1541265Z  * [new tag]                 ciflow/inductor/161461      -> ciflow/inductor/161461
2025-08-26T20:20:32.1542400Z  * [new tag]                 ciflow/inductor/161464      -> ciflow/inductor/161464
2025-08-26T20:20:32.1543885Z  * [new tag]                 ciflow/inductor/161466      -> ciflow/inductor/161466
2025-08-26T20:20:32.1545037Z  * [new tag]                 ciflow/inductor/161468      -> ciflow/inductor/161468
2025-08-26T20:20:32.1546209Z  * [new tag]                 ciflow/inductor/161469      -> ciflow/inductor/161469
2025-08-26T20:20:32.1547302Z  * [new tag]                 ciflow/inductor/161474      -> ciflow/inductor/161474
2025-08-26T20:20:32.1548489Z  * [new tag]                 ciflow/inductor/161477      -> ciflow/inductor/161477
2025-08-26T20:20:32.1549823Z  * [new tag]                 ciflow/inductor/161485      -> ciflow/inductor/161485
2025-08-26T20:20:32.1551396Z  * [new tag]                 ciflow/inductor/161486      -> ciflow/inductor/161486
2025-08-26T20:20:32.1552567Z  * [new tag]                 ciflow/inductor/161487      -> ciflow/inductor/161487
2025-08-26T20:20:32.1553748Z  * [new tag]                 ciflow/inductor/161495      -> ciflow/inductor/161495
2025-08-26T20:20:32.1554993Z  * [new tag]                 ciflow/inductor/161497      -> ciflow/inductor/161497
2025-08-26T20:20:32.1556175Z  * [new tag]                 ciflow/inductor/161499      -> ciflow/inductor/161499
2025-08-26T20:20:32.1557341Z  * [new tag]                 ciflow/inductor/161512      -> ciflow/inductor/161512
2025-08-26T20:20:32.1558468Z  * [new tag]                 ciflow/inductor/161521      -> ciflow/inductor/161521
2025-08-26T20:20:32.1559603Z  * [new tag]                 ciflow/inductor/161526      -> ciflow/inductor/161526
2025-08-26T20:20:32.1560719Z  * [new tag]                 ciflow/inductor/161530      -> ciflow/inductor/161530
2025-08-26T20:20:32.1561856Z  * [new tag]                 ciflow/inductor/161534      -> ciflow/inductor/161534
2025-08-26T20:20:32.1562966Z  * [new tag]                 ciflow/inductor/161536      -> ciflow/inductor/161536
2025-08-26T20:20:32.1564469Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-08-26T20:20:32.1565660Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-08-26T20:20:32.1566911Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-08-26T20:20:32.1568237Z  * [new tag]                 ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737
2025-08-26T20:20:32.1569269Z  * [new tag]                 ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078
2025-08-26T20:20:32.1570369Z  * [new tag]                 ciflow/linux-aarch64/160080 -> ciflow/linux-aarch64/160080
2025-08-26T20:20:32.1571624Z  * [new tag]                 ciflow/mps/155923           -> ciflow/mps/155923
2025-08-26T20:20:32.1572741Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-08-26T20:20:32.1573755Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-08-26T20:20:32.1574908Z  * [new tag]                 ciflow/mps/160839           -> ciflow/mps/160839
2025-08-26T20:20:32.1575936Z  * [new tag]                 ciflow/mps/161511           -> ciflow/mps/161511
2025-08-26T20:20:32.1577261Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-08-26T20:20:32.1578626Z  * [new tag]                 ciflow/periodic-rocm-mi300/161180 -> ciflow/periodic-rocm-mi300/161180
2025-08-26T20:20:32.1580088Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-08-26T20:20:32.1581578Z  * [new tag]                 ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756
2025-08-26T20:20:32.1582566Z  * [new tag]                 ciflow/periodic/161013      -> ciflow/periodic/161013
2025-08-26T20:20:32.1583774Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-08-26T20:20:32.1584956Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-08-26T20:20:32.1586154Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-08-26T20:20:32.1587423Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-08-26T20:20:32.1588766Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-08-26T20:20:32.1590493Z  * [new tag]                 ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84
2025-08-26T20:20:32.1591910Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-08-26T20:20:32.1593222Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-08-26T20:20:32.1594500Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-08-26T20:20:32.1595892Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-08-26T20:20:32.1597486Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-08-26T20:20:32.1598790Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-08-26T20:20:32.1600085Z  * [new tag]                 ciflow/rocm-mi300/159158    -> ciflow/rocm-mi300/159158
2025-08-26T20:20:32.1601131Z  * [new tag]                 ciflow/rocm-mi300/161040    -> ciflow/rocm-mi300/161040
2025-08-26T20:20:32.1602206Z  * [new tag]                 ciflow/rocm-mi300/161180    -> ciflow/rocm-mi300/161180
2025-08-26T20:20:32.1603218Z  * [new tag]                 ciflow/rocm-mi300/161225    -> ciflow/rocm-mi300/161225
2025-08-26T20:20:32.1604360Z  * [new tag]                 ciflow/rocm-mi300/161429    -> ciflow/rocm-mi300/161429
2025-08-26T20:20:32.1605908Z  * [new tag]                 ciflow/rocm-mi355/160215    -> ciflow/rocm-mi355/160215
2025-08-26T20:20:32.1607270Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-08-26T20:20:32.1608364Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-08-26T20:20:32.1609449Z  * [new tag]                 ciflow/rocm/152526          -> ciflow/rocm/152526
2025-08-26T20:20:32.1610573Z  * [new tag]                 ciflow/rocm/154864          -> ciflow/rocm/154864
2025-08-26T20:20:32.1611763Z  * [new tag]                 ciflow/rocm/158352          -> ciflow/rocm/158352
2025-08-26T20:20:32.1612757Z  * [new tag]                 ciflow/rocm/159158          -> ciflow/rocm/159158
2025-08-26T20:20:32.1613794Z  * [new tag]                 ciflow/rocm/160215          -> ciflow/rocm/160215
2025-08-26T20:20:32.1614823Z  * [new tag]                 ciflow/rocm/160671          -> ciflow/rocm/160671
2025-08-26T20:20:32.1616204Z  * [new tag]                 ciflow/rocm/160676          -> ciflow/rocm/160676
2025-08-26T20:20:32.1617336Z  * [new tag]                 ciflow/rocm/161180          -> ciflow/rocm/161180
2025-08-26T20:20:32.1618380Z  * [new tag]                 ciflow/rocm/161225          -> ciflow/rocm/161225
2025-08-26T20:20:32.1619892Z  * [new tag]                 ciflow/rocm/161277          -> ciflow/rocm/161277
2025-08-26T20:20:32.1621328Z  * [new tag]                 ciflow/rocm/161429          -> ciflow/rocm/161429
2025-08-26T20:20:32.1622633Z  * [new tag]                 ciflow/rocm/161496          -> ciflow/rocm/161496
2025-08-26T20:20:32.1624110Z  * [new tag]                 ciflow/s390/160893          -> ciflow/s390/160893
2025-08-26T20:20:32.1625533Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-08-26T20:20:32.1626704Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-08-26T20:20:32.1628197Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-08-26T20:20:32.1629181Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-08-26T20:20:32.1630315Z  * [new tag]                 ciflow/slow/161182          -> ciflow/slow/161182
2025-08-26T20:20:32.1631364Z  * [new tag]                 ciflow/slow/161395          -> ciflow/slow/161395
2025-08-26T20:20:32.1632576Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-08-26T20:20:32.1633875Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-08-26T20:20:32.1635316Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-08-26T20:20:32.1637106Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-08-26T20:20:32.1638927Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-08-26T20:20:32.1640243Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-08-26T20:20:32.1641499Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-08-26T20:20:32.1642979Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-08-26T20:20:32.1644950Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-08-26T20:20:32.1645724Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-08-26T20:20:32.1647071Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-08-26T20:20:32.1648331Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-08-26T20:20:32.1649587Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-08-26T20:20:32.1650864Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-08-26T20:20:32.1652522Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-08-26T20:20:32.1653560Z  * [new tag]                 ciflow/torchbench/158137    -> ciflow/torchbench/158137
2025-08-26T20:20:32.1654994Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-08-26T20:20:32.1655878Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-08-26T20:20:32.1657107Z  * [new tag]                 ciflow/trunk/153784         -> ciflow/trunk/153784
2025-08-26T20:20:32.1658097Z  * [new tag]                 ciflow/trunk/154694         -> ciflow/trunk/154694
2025-08-26T20:20:32.1659136Z  * [new tag]                 ciflow/trunk/154864         -> ciflow/trunk/154864
2025-08-26T20:20:32.1660306Z  * [new tag]                 ciflow/trunk/156418         -> ciflow/trunk/156418
2025-08-26T20:20:32.1661477Z  * [new tag]                 ciflow/trunk/157196         -> ciflow/trunk/157196
2025-08-26T20:20:32.1662563Z  * [new tag]                 ciflow/trunk/157537         -> ciflow/trunk/157537
2025-08-26T20:20:32.1663582Z  * [new tag]                 ciflow/trunk/157767         -> ciflow/trunk/157767
2025-08-26T20:20:32.1664621Z  * [new tag]                 ciflow/trunk/157944         -> ciflow/trunk/157944
2025-08-26T20:20:32.1665664Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-08-26T20:20:32.1667018Z  * [new tag]                 ciflow/trunk/158541         -> ciflow/trunk/158541
2025-08-26T20:20:32.1668482Z  * [new tag]                 ciflow/trunk/158733         -> ciflow/trunk/158733
2025-08-26T20:20:32.1669899Z  * [new tag]                 ciflow/trunk/158747         -> ciflow/trunk/158747
2025-08-26T20:20:32.1671042Z  * [new tag]                 ciflow/trunk/159158         -> ciflow/trunk/159158
2025-08-26T20:20:32.1672135Z  * [new tag]                 ciflow/trunk/159387         -> ciflow/trunk/159387
2025-08-26T20:20:32.1673833Z  * [new tag]                 ciflow/trunk/159562         -> ciflow/trunk/159562
2025-08-26T20:20:32.1674939Z  * [new tag]                 ciflow/trunk/159786         -> ciflow/trunk/159786
2025-08-26T20:20:32.1676163Z  * [new tag]                 ciflow/trunk/159835         -> ciflow/trunk/159835
2025-08-26T20:20:32.1677322Z  * [new tag]                 ciflow/trunk/159889         -> ciflow/trunk/159889
2025-08-26T20:20:32.1678392Z  * [new tag]                 ciflow/trunk/159923         -> ciflow/trunk/159923
2025-08-26T20:20:32.1679561Z  * [new tag]                 ciflow/trunk/160156         -> ciflow/trunk/160156
2025-08-26T20:20:32.1680788Z  * [new tag]                 ciflow/trunk/160180         -> ciflow/trunk/160180
2025-08-26T20:20:32.1681847Z  * [new tag]                 ciflow/trunk/160198         -> ciflow/trunk/160198
2025-08-26T20:20:32.1682944Z  * [new tag]                 ciflow/trunk/160258         -> ciflow/trunk/160258
2025-08-26T20:20:32.1684120Z  * [new tag]                 ciflow/trunk/160431         -> ciflow/trunk/160431
2025-08-26T20:20:32.1685287Z  * [new tag]                 ciflow/trunk/160448         -> ciflow/trunk/160448
2025-08-26T20:20:32.1686360Z  * [new tag]                 ciflow/trunk/160449         -> ciflow/trunk/160449
2025-08-26T20:20:32.1687538Z  * [new tag]                 ciflow/trunk/160527         -> ciflow/trunk/160527
2025-08-26T20:20:32.1688642Z  * [new tag]                 ciflow/trunk/160532         -> ciflow/trunk/160532
2025-08-26T20:20:32.1689765Z  * [new tag]                 ciflow/trunk/160671         -> ciflow/trunk/160671
2025-08-26T20:20:32.1690861Z  * [new tag]                 ciflow/trunk/160677         -> ciflow/trunk/160677
2025-08-26T20:20:32.1692073Z  * [new tag]                 ciflow/trunk/160692         -> ciflow/trunk/160692
2025-08-26T20:20:32.1693243Z  * [new tag]                 ciflow/trunk/160781         -> ciflow/trunk/160781
2025-08-26T20:20:32.1694400Z  * [new tag]                 ciflow/trunk/160825         -> ciflow/trunk/160825
2025-08-26T20:20:32.1695456Z  * [new tag]                 ciflow/trunk/160836         -> ciflow/trunk/160836
2025-08-26T20:20:32.1696710Z  * [new tag]                 ciflow/trunk/160866         -> ciflow/trunk/160866
2025-08-26T20:20:32.1698055Z  * [new tag]                 ciflow/trunk/160915         -> ciflow/trunk/160915
2025-08-26T20:20:32.1699093Z  * [new tag]                 ciflow/trunk/160991         -> ciflow/trunk/160991
2025-08-26T20:20:32.1700221Z  * [new tag]                 ciflow/trunk/160992         -> ciflow/trunk/160992
2025-08-26T20:20:32.1701355Z  * [new tag]                 ciflow/trunk/161004         -> ciflow/trunk/161004
2025-08-26T20:20:32.1702538Z  * [new tag]                 ciflow/trunk/161016         -> ciflow/trunk/161016
2025-08-26T20:20:32.1703761Z  * [new tag]                 ciflow/trunk/161023         -> ciflow/trunk/161023
2025-08-26T20:20:32.1704871Z  * [new tag]                 ciflow/trunk/161026         -> ciflow/trunk/161026
2025-08-26T20:20:32.1705967Z  * [new tag]                 ciflow/trunk/161032         -> ciflow/trunk/161032
2025-08-26T20:20:32.1707193Z  * [new tag]                 ciflow/trunk/161035         -> ciflow/trunk/161035
2025-08-26T20:20:32.1708314Z  * [new tag]                 ciflow/trunk/161040         -> ciflow/trunk/161040
2025-08-26T20:20:32.1709564Z  * [new tag]                 ciflow/trunk/161094         -> ciflow/trunk/161094
2025-08-26T20:20:32.1710686Z  * [new tag]                 ciflow/trunk/161097         -> ciflow/trunk/161097
2025-08-26T20:20:32.1711797Z  * [new tag]                 ciflow/trunk/161098         -> ciflow/trunk/161098
2025-08-26T20:20:32.1712877Z  * [new tag]                 ciflow/trunk/161100         -> ciflow/trunk/161100
2025-08-26T20:20:32.1714006Z  * [new tag]                 ciflow/trunk/161106         -> ciflow/trunk/161106
2025-08-26T20:20:32.1715092Z  * [new tag]                 ciflow/trunk/161110         -> ciflow/trunk/161110
2025-08-26T20:20:32.1716592Z  * [new tag]                 ciflow/trunk/161114         -> ciflow/trunk/161114
2025-08-26T20:20:32.1717751Z  * [new tag]                 ciflow/trunk/161117         -> ciflow/trunk/161117
2025-08-26T20:20:32.1718808Z  * [new tag]                 ciflow/trunk/161123         -> ciflow/trunk/161123
2025-08-26T20:20:32.1719952Z  * [new tag]                 ciflow/trunk/161124         -> ciflow/trunk/161124
2025-08-26T20:20:32.1721066Z  * [new tag]                 ciflow/trunk/161126         -> ciflow/trunk/161126
2025-08-26T20:20:32.1722339Z  * [new tag]                 ciflow/trunk/161131         -> ciflow/trunk/161131
2025-08-26T20:20:32.1723677Z  * [new tag]                 ciflow/trunk/161143         -> ciflow/trunk/161143
2025-08-26T20:20:32.1724775Z  * [new tag]                 ciflow/trunk/161144         -> ciflow/trunk/161144
2025-08-26T20:20:32.1725880Z  * [new tag]                 ciflow/trunk/161164         -> ciflow/trunk/161164
2025-08-26T20:20:32.1727003Z  * [new tag]                 ciflow/trunk/161180         -> ciflow/trunk/161180
2025-08-26T20:20:32.1728148Z  * [new tag]                 ciflow/trunk/161214         -> ciflow/trunk/161214
2025-08-26T20:20:32.1729265Z  * [new tag]                 ciflow/trunk/161217         -> ciflow/trunk/161217
2025-08-26T20:20:32.1730389Z  * [new tag]                 ciflow/trunk/161225         -> ciflow/trunk/161225
2025-08-26T20:20:32.1731519Z  * [new tag]                 ciflow/trunk/161236         -> ciflow/trunk/161236
2025-08-26T20:20:32.1732631Z  * [new tag]                 ciflow/trunk/161237         -> ciflow/trunk/161237
2025-08-26T20:20:32.1733753Z  * [new tag]                 ciflow/trunk/161241         -> ciflow/trunk/161241
2025-08-26T20:20:32.1735003Z  * [new tag]                 ciflow/trunk/161262         -> ciflow/trunk/161262
2025-08-26T20:20:32.1736552Z  * [new tag]                 ciflow/trunk/161263         -> ciflow/trunk/161263
2025-08-26T20:20:32.1737685Z  * [new tag]                 ciflow/trunk/161279         -> ciflow/trunk/161279
2025-08-26T20:20:32.1738922Z  * [new tag]                 ciflow/trunk/161306         -> ciflow/trunk/161306
2025-08-26T20:20:32.1740055Z  * [new tag]                 ciflow/trunk/161311         -> ciflow/trunk/161311
2025-08-26T20:20:32.1741149Z  * [new tag]                 ciflow/trunk/161354         -> ciflow/trunk/161354
2025-08-26T20:20:32.1742404Z  * [new tag]                 ciflow/trunk/161355         -> ciflow/trunk/161355
2025-08-26T20:20:32.1745093Z  * [new tag]                 ciflow/trunk/161362         -> ciflow/trunk/161362
2025-08-26T20:20:32.1746224Z  * [new tag]                 ciflow/trunk/161363         -> ciflow/trunk/161363
2025-08-26T20:20:32.1747461Z  * [new tag]                 ciflow/trunk/161370         -> ciflow/trunk/161370
2025-08-26T20:20:32.1748572Z  * [new tag]                 ciflow/trunk/161383         -> ciflow/trunk/161383
2025-08-26T20:20:32.1750071Z  * [new tag]                 ciflow/trunk/161385         -> ciflow/trunk/161385
2025-08-26T20:20:32.1751357Z  * [new tag]                 ciflow/trunk/161389         -> ciflow/trunk/161389
2025-08-26T20:20:32.1752477Z  * [new tag]                 ciflow/trunk/161392         -> ciflow/trunk/161392
2025-08-26T20:20:32.1753574Z  * [new tag]                 ciflow/trunk/161395         -> ciflow/trunk/161395
2025-08-26T20:20:32.1754697Z  * [new tag]                 ciflow/trunk/161396         -> ciflow/trunk/161396
2025-08-26T20:20:32.1755932Z  * [new tag]                 ciflow/trunk/161409         -> ciflow/trunk/161409
2025-08-26T20:20:32.1757166Z  * [new tag]                 ciflow/trunk/161410         -> ciflow/trunk/161410
2025-08-26T20:20:32.1758303Z  * [new tag]                 ciflow/trunk/161435         -> ciflow/trunk/161435
2025-08-26T20:20:32.1759574Z  * [new tag]                 ciflow/trunk/161437         -> ciflow/trunk/161437
2025-08-26T20:20:32.1760816Z  * [new tag]                 ciflow/trunk/161451         -> ciflow/trunk/161451
2025-08-26T20:20:32.1762082Z  * [new tag]                 ciflow/trunk/161453         -> ciflow/trunk/161453
2025-08-26T20:20:32.1763318Z  * [new tag]                 ciflow/trunk/161454         -> ciflow/trunk/161454
2025-08-26T20:20:32.1764533Z  * [new tag]                 ciflow/trunk/161489         -> ciflow/trunk/161489
2025-08-26T20:20:32.1765878Z  * [new tag]                 ciflow/trunk/161517         -> ciflow/trunk/161517
2025-08-26T20:20:32.1767438Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-08-26T20:20:32.1768763Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-08-26T20:20:32.1769817Z  * [new tag]                 ciflow/win-arm64/159562     -> ciflow/win-arm64/159562
2025-08-26T20:20:32.1770907Z  * [new tag]                 ciflow/win-arm64/160258     -> ciflow/win-arm64/160258
2025-08-26T20:20:32.1772122Z  * [new tag]                 ciflow/win-arm64/161504     -> ciflow/win-arm64/161504
2025-08-26T20:20:32.1773570Z  * [new tag]                 ciflow/xpu/143553           -> ciflow/xpu/143553
2025-08-26T20:20:32.1774609Z  * [new tag]                 ciflow/xpu/158733           -> ciflow/xpu/158733
2025-08-26T20:20:32.1775617Z  * [new tag]                 ciflow/xpu/159473           -> ciflow/xpu/159473
2025-08-26T20:20:32.1776763Z  * [new tag]                 ciflow/xpu/159944           -> ciflow/xpu/159944
2025-08-26T20:20:32.1778261Z  * [new tag]                 ciflow/xpu/160067           -> ciflow/xpu/160067
2025-08-26T20:20:32.1779453Z  * [new tag]                 ciflow/xpu/160158           -> ciflow/xpu/160158
2025-08-26T20:20:32.1780607Z  * [new tag]                 ciflow/xpu/160940           -> ciflow/xpu/160940
2025-08-26T20:20:32.1781764Z  * [new tag]                 ciflow/xpu/161041           -> ciflow/xpu/161041
2025-08-26T20:20:32.1782845Z  * [new tag]                 ciflow/xpu/161045           -> ciflow/xpu/161045
2025-08-26T20:20:32.1783895Z  * [new tag]                 ciflow/xpu/161142           -> ciflow/xpu/161142
2025-08-26T20:20:32.1785207Z  * [new tag]                 ciflow/xpu/161152           -> ciflow/xpu/161152
2025-08-26T20:20:32.1786555Z  * [new tag]                 ciflow/xpu/161246           -> ciflow/xpu/161246
2025-08-26T20:20:32.1787962Z  * [new tag]                 ciflow/xpu/161389           -> ciflow/xpu/161389
2025-08-26T20:20:32.1789264Z  * [new tag]                 ciflow/xpu/161392           -> ciflow/xpu/161392
2025-08-26T20:20:32.1790554Z  * [new tag]                 ciflow/xpu/161397           -> ciflow/xpu/161397
2025-08-26T20:20:32.1791617Z  * [new tag]                 ciflow/xpu/161477           -> ciflow/xpu/161477
2025-08-26T20:20:32.1792701Z  * [new tag]                 ciflow/xpu/161489           -> ciflow/xpu/161489
2025-08-26T20:20:32.1793859Z  * [new tag]                 cslpull75                   -> cslpull75
2025-08-26T20:20:32.1795016Z  * [new tag]                 cslpull76                   -> cslpull76
2025-08-26T20:20:32.1796181Z  * [new tag]                 cslpull77                   -> cslpull77
2025-08-26T20:20:32.1797344Z  * [new tag]                 cslpull78                   -> cslpull78
2025-08-26T20:20:32.1798779Z  * [new tag]                 cslpull79                   -> cslpull79
2025-08-26T20:20:32.1800223Z  * [new tag]                 cslpull80                   -> cslpull80
2025-08-26T20:20:32.1801440Z  * [new tag]                 cslpull81                   -> cslpull81
2025-08-26T20:20:32.1802697Z  * [new tag]                 cslpull82                   -> cslpull82
2025-08-26T20:20:32.1803890Z  * [new tag]                 cslpull83                   -> cslpull83
2025-08-26T20:20:32.1805142Z  * [new tag]                 cslpull84                   -> cslpull84
2025-08-26T20:20:32.1806287Z  * [new tag]                 cslpull85                   -> cslpull85
2025-08-26T20:20:32.1807491Z  * [new tag]                 cslpull86                   -> cslpull86
2025-08-26T20:20:32.1808674Z  * [new tag]                 cslpull87                   -> cslpull87
2025-08-26T20:20:32.1809936Z  * [new tag]                 cslpull88                   -> cslpull88
2025-08-26T20:20:32.1811115Z  * [new tag]                 cslpull89                   -> cslpull89
2025-08-26T20:20:32.1812163Z  * [new tag]                 cslpull90                   -> cslpull90
2025-08-26T20:20:32.1813677Z  * [new tag]                 cslpull91                   -> cslpull91
2025-08-26T20:20:32.1814890Z  * [new tag]                 cslpull92                   -> cslpull92
2025-08-26T20:20:32.1816057Z  * [new tag]                 flight_5                    -> flight_5
2025-08-26T20:20:32.1817380Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-08-26T20:20:32.1818645Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-08-26T20:20:32.1819791Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-08-26T20:20:32.1820934Z  * [new tag]                 forpull1                    -> forpull1
2025-08-26T20:20:32.1822514Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-08-26T20:20:32.1823693Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-08-26T20:20:32.1824949Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-08-26T20:20:32.1826194Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-08-26T20:20:32.1827357Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-08-26T20:20:32.1828621Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-08-26T20:20:32.1830330Z  * [new tag]                 trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1 -> trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1
2025-08-26T20:20:32.1831464Z  * [new tag]                 trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf -> trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf
2025-08-26T20:20:32.1833015Z  * [new tag]                 trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff -> trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff
2025-08-26T20:20:32.1834852Z  * [new tag]                 trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2 -> trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2
2025-08-26T20:20:32.1836316Z  * [new tag]                 trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8 -> trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8
2025-08-26T20:20:32.1837714Z  * [new tag]                 trunk/0924304e728b9507a54eced28c812fbd5b13c397 -> trunk/0924304e728b9507a54eced28c812fbd5b13c397
2025-08-26T20:20:32.1838892Z  * [new tag]                 trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89 -> trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89
2025-08-26T20:20:32.1840073Z  * [new tag]                 trunk/0d19541284c38212235f78db24e3ac3ae4787e45 -> trunk/0d19541284c38212235f78db24e3ac3ae4787e45
2025-08-26T20:20:32.1841322Z  * [new tag]                 trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863 -> trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863
2025-08-26T20:20:32.1842434Z  * [new tag]                 trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756
2025-08-26T20:20:32.1844067Z  * [new tag]                 trunk/0f801a510f5f185543388717241adb7237c3d46a -> trunk/0f801a510f5f185543388717241adb7237c3d46a
2025-08-26T20:20:32.1845375Z  * [new tag]                 trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0 -> trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0
2025-08-26T20:20:32.1846655Z  * [new tag]                 trunk/1113e7de30da95973c1eac7921601f9a0e94f2db -> trunk/1113e7de30da95973c1eac7921601f9a0e94f2db
2025-08-26T20:20:32.1847892Z  * [new tag]                 trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb -> trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb
2025-08-26T20:20:32.1849178Z  * [new tag]                 trunk/1471b20cb3fc502931ef12b1420414e32facd5b0 -> trunk/1471b20cb3fc502931ef12b1420414e32facd5b0
2025-08-26T20:20:32.1850655Z  * [new tag]                 trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053 -> trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053
2025-08-26T20:20:32.1851926Z  * [new tag]                 trunk/17b0263e86aec8aed068bb8b6744b129233e8084 -> trunk/17b0263e86aec8aed068bb8b6744b129233e8084
2025-08-26T20:20:32.1852984Z  * [new tag]                 trunk/18271148d32da3d48897e9e7515de45066fce5bc -> trunk/18271148d32da3d48897e9e7515de45066fce5bc
2025-08-26T20:20:32.1854286Z  * [new tag]                 trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4 -> trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4
2025-08-26T20:20:32.1855532Z  * [new tag]                 trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712 -> trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712
2025-08-26T20:20:32.1856752Z  * [new tag]                 trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8 -> trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8
2025-08-26T20:20:32.1858010Z  * [new tag]                 trunk/1d46aa736fc8870dc88015c729a8c64470fa985c -> trunk/1d46aa736fc8870dc88015c729a8c64470fa985c
2025-08-26T20:20:32.1859283Z  * [new tag]                 trunk/1de4540449ad6b9df8f452ab72da30ce8908af60 -> trunk/1de4540449ad6b9df8f452ab72da30ce8908af60
2025-08-26T20:20:32.1860629Z  * [new tag]                 trunk/1e3fe78a104776cd708f150116348540346dae25 -> trunk/1e3fe78a104776cd708f150116348540346dae25
2025-08-26T20:20:32.1861809Z  * [new tag]                 trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a -> trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a
2025-08-26T20:20:32.1863045Z  * [new tag]                 trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a -> trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a
2025-08-26T20:20:32.1864267Z  * [new tag]                 trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c -> trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c
2025-08-26T20:20:32.1865559Z  * [new tag]                 trunk/209143ddeb99b0b075d16525088cee4893be7492 -> trunk/209143ddeb99b0b075d16525088cee4893be7492
2025-08-26T20:20:32.1866796Z  * [new tag]                 trunk/22df59efc0a845b3ff37019029efd07c5a25c456 -> trunk/22df59efc0a845b3ff37019029efd07c5a25c456
2025-08-26T20:20:32.1868103Z  * [new tag]                 trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3 -> trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3
2025-08-26T20:20:32.1869379Z  * [new tag]                 trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a -> trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a
2025-08-26T20:20:32.1870766Z  * [new tag]                 trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9 -> trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9
2025-08-26T20:20:32.1872136Z  * [new tag]                 trunk/262640fd220236042fbf4443cc163c8838c84c3d -> trunk/262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:20:32.1873306Z  * [new tag]                 trunk/266784ec6ae82f823abe406582e7a91f2ebb564a -> trunk/266784ec6ae82f823abe406582e7a91f2ebb564a
2025-08-26T20:20:32.1874392Z  * [new tag]                 trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409 -> trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409
2025-08-26T20:20:32.1875656Z  * [new tag]                 trunk/284b7190054686e68d9cc683b6ce43e45dd22338 -> trunk/284b7190054686e68d9cc683b6ce43e45dd22338
2025-08-26T20:20:32.1877104Z  * [new tag]                 trunk/29afde20203ee6773641b4e3552942a37315316f -> trunk/29afde20203ee6773641b4e3552942a37315316f
2025-08-26T20:20:32.1878291Z  * [new tag]                 trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e -> trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e
2025-08-26T20:20:32.1879632Z  * [new tag]                 trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8 -> trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8
2025-08-26T20:20:32.1880838Z  * [new tag]                 trunk/2beffb3311a41589021c121dac543994a7cbdff2 -> trunk/2beffb3311a41589021c121dac543994a7cbdff2
2025-08-26T20:20:32.1882153Z  * [new tag]                 trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54 -> trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54
2025-08-26T20:20:32.1883417Z  * [new tag]                 trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421 -> trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421
2025-08-26T20:20:32.1884670Z  * [new tag]                 trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10 -> trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10
2025-08-26T20:20:32.1885965Z  * [new tag]                 trunk/2f0cba934de7094a66c6ce68f5e937254f23142a -> trunk/2f0cba934de7094a66c6ce68f5e937254f23142a
2025-08-26T20:20:32.1887080Z  * [new tag]                 trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6
2025-08-26T20:20:32.1888329Z  * [new tag]                 trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf -> trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf
2025-08-26T20:20:32.1889608Z  * [new tag]                 trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06 -> trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06
2025-08-26T20:20:32.1890952Z  * [new tag]                 trunk/30384abcb1d181e774c0ac21b580aa34336a96c6 -> trunk/30384abcb1d181e774c0ac21b580aa34336a96c6
2025-08-26T20:20:32.1892302Z  * [new tag]                 trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d -> trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d
2025-08-26T20:20:32.1893643Z  * [new tag]                 trunk/332fa5b388521c05a19217649745c6edfdc2836d -> trunk/332fa5b388521c05a19217649745c6edfdc2836d
2025-08-26T20:20:32.1895039Z  * [new tag]                 trunk/33346b58148c55592994a43385c321ae8c8808f2 -> trunk/33346b58148c55592994a43385c321ae8c8808f2
2025-08-26T20:20:32.1896369Z  * [new tag]                 trunk/3373b074f5ea5277974fa6e945544fdfb16bb446 -> trunk/3373b074f5ea5277974fa6e945544fdfb16bb446
2025-08-26T20:20:32.1897599Z  * [new tag]                 trunk/33c3794533844236a6e30ba377e0a6802b279fc8 -> trunk/33c3794533844236a6e30ba377e0a6802b279fc8
2025-08-26T20:20:32.1898864Z  * [new tag]                 trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208 -> trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208
2025-08-26T20:20:32.1900145Z  * [new tag]                 trunk/36ac916929ca67b533cc45932970297e9824324e -> trunk/36ac916929ca67b533cc45932970297e9824324e
2025-08-26T20:20:32.1901388Z  * [new tag]                 trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76 -> trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76
2025-08-26T20:20:32.1902650Z  * [new tag]                 trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b -> trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b
2025-08-26T20:20:32.1903954Z  * [new tag]                 trunk/37a34022b59a6ff2757e5cec0fdc72278418f339 -> trunk/37a34022b59a6ff2757e5cec0fdc72278418f339
2025-08-26T20:20:32.1905290Z  * [new tag]                 trunk/38a492d40d7ebb2856cb120df337c6cdac244528 -> trunk/38a492d40d7ebb2856cb120df337c6cdac244528
2025-08-26T20:20:32.1906541Z  * [new tag]                 trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728 -> trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728
2025-08-26T20:20:32.1907777Z  * [new tag]                 trunk/39862acb2e320783245d2a03acfd1b14cae28038 -> trunk/39862acb2e320783245d2a03acfd1b14cae28038
2025-08-26T20:20:32.1909134Z  * [new tag]                 trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f -> trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f
2025-08-26T20:20:32.1910400Z  * [new tag]                 trunk/3caddd4daa5b1a167663c07219e065e86247ad76 -> trunk/3caddd4daa5b1a167663c07219e065e86247ad76
2025-08-26T20:20:32.1911711Z  * [new tag]                 trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9 -> trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9
2025-08-26T20:20:32.1912924Z  * [new tag]                 trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa -> trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa
2025-08-26T20:20:32.1914063Z  * [new tag]                 trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062 -> trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062
2025-08-26T20:20:32.1915201Z  * [new tag]                 trunk/3e5b021f217a42ae55dc690083f67a28126808ed -> trunk/3e5b021f217a42ae55dc690083f67a28126808ed
2025-08-26T20:20:32.1917086Z  * [new tag]                 trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39 -> trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39
2025-08-26T20:20:32.1918325Z  * [new tag]                 trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24 -> trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24
2025-08-26T20:20:32.1919638Z  * [new tag]                 trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3 -> trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3
2025-08-26T20:20:32.1920900Z  * [new tag]                 trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759 -> trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759
2025-08-26T20:20:32.1922171Z  * [new tag]                 trunk/419a2dbf5f69cee52382090200b532a81da92c69 -> trunk/419a2dbf5f69cee52382090200b532a81da92c69
2025-08-26T20:20:32.1923449Z  * [new tag]                 trunk/431846a6323c6f1d02da49e311ac694324f386f4 -> trunk/431846a6323c6f1d02da49e311ac694324f386f4
2025-08-26T20:20:32.1924695Z  * [new tag]                 trunk/44549c7146bd6c4166f97e856037babe1b7f4f49 -> trunk/44549c7146bd6c4166f97e856037babe1b7f4f49
2025-08-26T20:20:32.1926037Z  * [new tag]                 trunk/447d34b5f80fb7350f79decd855cb599cab39083 -> trunk/447d34b5f80fb7350f79decd855cb599cab39083
2025-08-26T20:20:32.1927289Z  * [new tag]                 trunk/46429be72323c1807a785234164bd91011f68d08 -> trunk/46429be72323c1807a785234164bd91011f68d08
2025-08-26T20:20:32.1928456Z  * [new tag]                 trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8 -> trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8
2025-08-26T20:20:32.1929684Z  * [new tag]                 trunk/46576f5a164fcf95ec7fceaa13516bcb1ca4f6ab -> trunk/46576f5a164fcf95ec7fceaa13516bcb1ca4f6ab
2025-08-26T20:20:32.1930948Z  * [new tag]                 trunk/47d267364cad407b5612bf4a5faa160d2f4a7121 -> trunk/47d267364cad407b5612bf4a5faa160d2f4a7121
2025-08-26T20:20:32.1932213Z  * [new tag]                 trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24 -> trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24
2025-08-26T20:20:32.1933512Z  * [new tag]                 trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4 -> trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4
2025-08-26T20:20:32.1934779Z  * [new tag]                 trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52 -> trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52
2025-08-26T20:20:32.1936028Z  * [new tag]                 trunk/4c36c8a99463c898190a462300ba7f05b5b3384e -> trunk/4c36c8a99463c898190a462300ba7f05b5b3384e
2025-08-26T20:20:32.1937288Z  * [new tag]                 trunk/4e19c1906a830714c1d9d71361357ce616a034d6 -> trunk/4e19c1906a830714c1d9d71361357ce616a034d6
2025-08-26T20:20:32.1938662Z  * [new tag]                 trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898 -> trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898
2025-08-26T20:20:32.1939865Z  * [new tag]                 trunk/50cfe76231768ee2c784f68a1eba03369f386019 -> trunk/50cfe76231768ee2c784f68a1eba03369f386019
2025-08-26T20:20:32.1941085Z  * [new tag]                 trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810 -> trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810
2025-08-26T20:20:32.1942386Z  * [new tag]                 trunk/512fc768e94c937df350911aaa4ebce757d1f9df -> trunk/512fc768e94c937df350911aaa4ebce757d1f9df
2025-08-26T20:20:32.1944122Z  * [new tag]                 trunk/517d38d3406abbba35d0694bff259a698cad3ec9 -> trunk/517d38d3406abbba35d0694bff259a698cad3ec9
2025-08-26T20:20:32.1945425Z  * [new tag]                 trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2 -> trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2
2025-08-26T20:20:32.1946674Z  * [new tag]                 trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed -> trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed
2025-08-26T20:20:32.1948075Z  * [new tag]                 trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb -> trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb
2025-08-26T20:20:32.1949274Z  * [new tag]                 trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1 -> trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1
2025-08-26T20:20:32.1950559Z  * [new tag]                 trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7 -> trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7
2025-08-26T20:20:32.1951847Z  * [new tag]                 trunk/576a0e64ed2470abd2c430205d1984a11951ce05 -> trunk/576a0e64ed2470abd2c430205d1984a11951ce05
2025-08-26T20:20:32.1953169Z  * [new tag]                 trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa -> trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa
2025-08-26T20:20:32.1954478Z  * [new tag]                 trunk/58f9a3dd6391397e439c5f5075837e8f983735aa -> trunk/58f9a3dd6391397e439c5f5075837e8f983735aa
2025-08-26T20:20:32.1955737Z  * [new tag]                 trunk/595987d28d4c8aee68de83734af919c7710ad58b -> trunk/595987d28d4c8aee68de83734af919c7710ad58b
2025-08-26T20:20:32.1957183Z  * [new tag]                 trunk/599f639ddb8bb45abb2dc305542f38288427183d -> trunk/599f639ddb8bb45abb2dc305542f38288427183d
2025-08-26T20:20:32.1958451Z  * [new tag]                 trunk/5afa4187dfe1e99278f8e372ec09102d5b937572 -> trunk/5afa4187dfe1e99278f8e372ec09102d5b937572
2025-08-26T20:20:32.1959715Z  * [new tag]                 trunk/5d9653d90ee003173dd03f93e09fed236500ef06 -> trunk/5d9653d90ee003173dd03f93e09fed236500ef06
2025-08-26T20:20:32.1960920Z  * [new tag]                 trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e -> trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e
2025-08-26T20:20:32.1962355Z  * [new tag]                 trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f -> trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f
2025-08-26T20:20:32.1963557Z  * [new tag]                 trunk/6096d277c543f5dd40351431ef9a8d556134c74d -> trunk/6096d277c543f5dd40351431ef9a8d556134c74d
2025-08-26T20:20:32.1964802Z  * [new tag]                 trunk/62db8ec39116544ae247f876b3e06753178db49b -> trunk/62db8ec39116544ae247f876b3e06753178db49b
2025-08-26T20:20:32.1966033Z  * [new tag]                 trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1 -> trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1
2025-08-26T20:20:32.1967358Z  * [new tag]                 trunk/6443ea337df843681bc558d99efa84a3e5559b7f -> trunk/6443ea337df843681bc558d99efa84a3e5559b7f
2025-08-26T20:20:32.1968677Z  * [new tag]                 trunk/6598f00c18dfcc4fc50427305b6b5724e617246f -> trunk/6598f00c18dfcc4fc50427305b6b5724e617246f
2025-08-26T20:20:32.1969925Z  * [new tag]                 trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611 -> trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611
2025-08-26T20:20:32.1971170Z  * [new tag]                 trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43 -> trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43
2025-08-26T20:20:32.1972489Z  * [new tag]                 trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc -> trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc
2025-08-26T20:20:32.1973933Z  * [new tag]                 trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03 -> trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03
2025-08-26T20:20:32.1975087Z  * [new tag]                 trunk/67b98da1b262317f9c0375d64a4b467c82712548 -> trunk/67b98da1b262317f9c0375d64a4b467c82712548
2025-08-26T20:20:32.1976347Z  * [new tag]                 trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab -> trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab
2025-08-26T20:20:32.1977615Z  * [new tag]                 trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4 -> trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4
2025-08-26T20:20:32.1978897Z  * [new tag]                 trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9 -> trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9
2025-08-26T20:20:32.1980029Z  * [new tag]                 trunk/6afd766401659e0ba40589939c2576a29e9c64e7 -> trunk/6afd766401659e0ba40589939c2576a29e9c64e7
2025-08-26T20:20:32.1981192Z  * [new tag]                 trunk/6ea4be1e2eca952ea66090182bd2eede89799a45 -> trunk/6ea4be1e2eca952ea66090182bd2eede89799a45
2025-08-26T20:20:32.1982540Z  * [new tag]                 trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021 -> trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021
2025-08-26T20:20:32.1983778Z  * [new tag]                 trunk/710514a2a51facaba445d2c188541d778f9fdb59 -> trunk/710514a2a51facaba445d2c188541d778f9fdb59
2025-08-26T20:20:32.1985084Z  * [new tag]                 trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1 -> trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1
2025-08-26T20:20:32.1986434Z  * [new tag]                 trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72 -> trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72
2025-08-26T20:20:32.1987672Z  * [new tag]                 trunk/72e4786d1635681b8d053d0168c7d16b980e5124 -> trunk/72e4786d1635681b8d053d0168c7d16b980e5124
2025-08-26T20:20:32.1988897Z  * [new tag]                 trunk/7376111d59f3170c2814d565c09d09435189692a -> trunk/7376111d59f3170c2814d565c09d09435189692a
2025-08-26T20:20:32.1990257Z  * [new tag]                 trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1 -> trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1
2025-08-26T20:20:32.1991931Z  * [new tag]                 trunk/74280d091321343b47a2975e17584b973d7c22c4 -> trunk/74280d091321343b47a2975e17584b973d7c22c4
2025-08-26T20:20:32.1993123Z  * [new tag]                 trunk/74c4c758afa8c28162f00a456c185552e1159fd3 -> trunk/74c4c758afa8c28162f00a456c185552e1159fd3
2025-08-26T20:20:32.1994503Z  * [new tag]                 trunk/763053dc536341997641e920d8887b3010901b3b -> trunk/763053dc536341997641e920d8887b3010901b3b
2025-08-26T20:20:32.1995782Z  * [new tag]                 trunk/774b4befa18741b3115802cae71000168a40c384 -> trunk/774b4befa18741b3115802cae71000168a40c384
2025-08-26T20:20:32.1997293Z  * [new tag]                 trunk/77bc959fe122bfd131e339ca36cab445a1860806 -> trunk/77bc959fe122bfd131e339ca36cab445a1860806
2025-08-26T20:20:32.1998481Z  * [new tag]                 trunk/78a8e6a671c5631bc0e89b0e674790a424540547 -> trunk/78a8e6a671c5631bc0e89b0e674790a424540547
2025-08-26T20:20:32.2000160Z  * [new tag]                 trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808 -> trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808
2025-08-26T20:20:32.2001437Z  * [new tag]                 trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea -> trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea
2025-08-26T20:20:32.2002712Z  * [new tag]                 trunk/7f201baf414301b3312576893b7f6f2698acd9ba -> trunk/7f201baf414301b3312576893b7f6f2698acd9ba
2025-08-26T20:20:32.2003973Z  * [new tag]                 trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a -> trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a
2025-08-26T20:20:32.2005300Z  * [new tag]                 trunk/801851086d09506d081800108c9e214edb3f5b7d -> trunk/801851086d09506d081800108c9e214edb3f5b7d
2025-08-26T20:20:32.2006615Z  * [new tag]                 trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f -> trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f
2025-08-26T20:20:32.2007989Z  * [new tag]                 trunk/80df27a612be3433516d7e6dfc8d8be058425d3e -> trunk/80df27a612be3433516d7e6dfc8d8be058425d3e
2025-08-26T20:20:32.2009324Z  * [new tag]                 trunk/818ba434c7de4cd604184b2857d544e0ad95735f -> trunk/818ba434c7de4cd604184b2857d544e0ad95735f
2025-08-26T20:20:32.2010577Z  * [new tag]                 trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527 -> trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527
2025-08-26T20:20:32.2011860Z  * [new tag]                 trunk/85adf80cf15538a7e010fa235036fe8e06f8bede -> trunk/85adf80cf15538a7e010fa235036fe8e06f8bede
2025-08-26T20:20:32.2013164Z  * [new tag]                 trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740 -> trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740
2025-08-26T20:20:32.2014836Z  * [new tag]                 trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2 -> trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2
2025-08-26T20:20:32.2016161Z  * [new tag]                 trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8 -> trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8
2025-08-26T20:20:32.2017479Z  * [new tag]                 trunk/8cfc119491f533c4edded4263a78eb0af782a2d5 -> trunk/8cfc119491f533c4edded4263a78eb0af782a2d5
2025-08-26T20:20:32.2018838Z  * [new tag]                 trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e -> trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e
2025-08-26T20:20:32.2020133Z  * [new tag]                 trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa -> trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa
2025-08-26T20:20:32.2021520Z  * [new tag]                 trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9 -> trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9
2025-08-26T20:20:32.2022953Z  * [new tag]                 trunk/8f766d68397736053883aa281cae0eb46bb233bb -> trunk/8f766d68397736053883aa281cae0eb46bb233bb
2025-08-26T20:20:32.2025123Z  * [new tag]                 trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836 -> trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836
2025-08-26T20:20:32.2025697Z  * [new tag]                 trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b -> trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b
2025-08-26T20:20:32.2026816Z  * [new tag]                 trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e -> trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e
2025-08-26T20:20:32.2028146Z  * [new tag]                 trunk/923bc46122d173a7964c646311a3bea3cd8dd561 -> trunk/923bc46122d173a7964c646311a3bea3cd8dd561
2025-08-26T20:20:32.2029453Z  * [new tag]                 trunk/92ab18482459a63e97f1374e27e8411964da9762 -> trunk/92ab18482459a63e97f1374e27e8411964da9762
2025-08-26T20:20:32.2030728Z  * [new tag]                 trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e -> trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e
2025-08-26T20:20:32.2032191Z  * [new tag]                 trunk/957b170d8efe2a51147e0cdb7515acc345ba81da -> trunk/957b170d8efe2a51147e0cdb7515acc345ba81da
2025-08-26T20:20:32.2033489Z  * [new tag]                 trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae -> trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae
2025-08-26T20:20:32.2034616Z  * [new tag]                 trunk/96682103026b5ea27f19e6db9303e17572095b0e -> trunk/96682103026b5ea27f19e6db9303e17572095b0e
2025-08-26T20:20:32.2036012Z  * [new tag]                 trunk/97200c971110d54030feaad999698c7341f8acc7 -> trunk/97200c971110d54030feaad999698c7341f8acc7
2025-08-26T20:20:32.2037456Z  * [new tag]                 trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be -> trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be
2025-08-26T20:20:32.2038825Z  * [new tag]                 trunk/995397d47a0e27394ee1010f158e181eb304100a -> trunk/995397d47a0e27394ee1010f158e181eb304100a
2025-08-26T20:20:32.2040170Z  * [new tag]                 trunk/9a41570199155eee92ebd28452a556075e34e1b4 -> trunk/9a41570199155eee92ebd28452a556075e34e1b4
2025-08-26T20:20:32.2041481Z  * [new tag]                 trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da -> trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da
2025-08-26T20:20:32.2042939Z  * [new tag]                 trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44 -> trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44
2025-08-26T20:20:32.2044816Z  * [new tag]                 trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a -> trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a
2025-08-26T20:20:32.2046010Z  * [new tag]                 trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5 -> trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5
2025-08-26T20:20:32.2047280Z  * [new tag]                 trunk/9d882fd9ffc6ad2a292fee548740aabfea745002 -> trunk/9d882fd9ffc6ad2a292fee548740aabfea745002
2025-08-26T20:20:32.2048672Z  * [new tag]                 trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3 -> trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3
2025-08-26T20:20:32.2049949Z  * [new tag]                 trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a -> trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a
2025-08-26T20:20:32.2051238Z  * [new tag]                 trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea -> trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea
2025-08-26T20:20:32.2052531Z  * [new tag]                 trunk/9f6e1b8730d6a7a7d012be90ae08674294aa4933 -> trunk/9f6e1b8730d6a7a7d012be90ae08674294aa4933
2025-08-26T20:20:32.2053863Z  * [new tag]                 trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b -> trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b
2025-08-26T20:20:32.2055091Z  * [new tag]                 trunk/a154c2093c0f2646346f032e1f30012779b3c51d -> trunk/a154c2093c0f2646346f032e1f30012779b3c51d
2025-08-26T20:20:32.2056475Z  * [new tag]                 trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88 -> trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88
2025-08-26T20:20:32.2057792Z  * [new tag]                 trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645 -> trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645
2025-08-26T20:20:32.2059073Z  * [new tag]                 trunk/a3fe1ced409d186628ff2975f05ba529a86fae84 -> trunk/a3fe1ced409d186628ff2975f05ba529a86fae84
2025-08-26T20:20:32.2060380Z  * [new tag]                 trunk/a43480d19cdd68e544163b1a07c328a9c54723b8 -> trunk/a43480d19cdd68e544163b1a07c328a9c54723b8
2025-08-26T20:20:32.2061701Z  * [new tag]                 trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77 -> trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77
2025-08-26T20:20:32.2062978Z  * [new tag]                 trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b -> trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b
2025-08-26T20:20:32.2064365Z  * [new tag]                 trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182 -> trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182
2025-08-26T20:20:32.2065581Z  * [new tag]                 trunk/a68f63e33161b4665e0f4c399bf8072135a35a57 -> trunk/a68f63e33161b4665e0f4c399bf8072135a35a57
2025-08-26T20:20:32.2066767Z  * [new tag]                 trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b -> trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b
2025-08-26T20:20:32.2068145Z  * [new tag]                 trunk/a7aa480e55ef5cdf56af53d93b381eca6680e2ae -> trunk/a7aa480e55ef5cdf56af53d93b381eca6680e2ae
2025-08-26T20:20:32.2069527Z  * [new tag]                 trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb -> trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb
2025-08-26T20:20:32.2070810Z  * [new tag]                 trunk/a818fa77e3a72271f144514ef349c5a666313205 -> trunk/a818fa77e3a72271f144514ef349c5a666313205
2025-08-26T20:20:32.2072271Z  * [new tag]                 trunk/a825557ed53507e85ac613862311a81eb88710a4 -> trunk/a825557ed53507e85ac613862311a81eb88710a4
2025-08-26T20:20:32.2073495Z  * [new tag]                 trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e -> trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e
2025-08-26T20:20:32.2074745Z  * [new tag]                 trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88 -> trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88
2025-08-26T20:20:32.2076129Z  * [new tag]                 trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58 -> trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58
2025-08-26T20:20:32.2077540Z  * [new tag]                 trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b -> trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b
2025-08-26T20:20:32.2078936Z  * [new tag]                 trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6 -> trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6
2025-08-26T20:20:32.2080147Z  * [new tag]                 trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b -> trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b
2025-08-26T20:20:32.2081492Z  * [new tag]                 trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e -> trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e
2025-08-26T20:20:32.2082816Z  * [new tag]                 trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83 -> trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83
2025-08-26T20:20:32.2084121Z  * [new tag]                 trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc -> trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc
2025-08-26T20:20:32.2085842Z  * [new tag]                 trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18 -> trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18
2025-08-26T20:20:32.2087182Z  * [new tag]                 trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6 -> trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6
2025-08-26T20:20:32.2088523Z  * [new tag]                 trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687 -> trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687
2025-08-26T20:20:32.2089813Z  * [new tag]                 trunk/b2632e79828300302fd11e093d765196c3c0db58 -> trunk/b2632e79828300302fd11e093d765196c3c0db58
2025-08-26T20:20:32.2091156Z  * [new tag]                 trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67 -> trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67
2025-08-26T20:20:32.2092440Z  * [new tag]                 trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27 -> trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27
2025-08-26T20:20:32.2093765Z  * [new tag]                 trunk/b708966201811b31ee765ec57715ac21d06ef652 -> trunk/b708966201811b31ee765ec57715ac21d06ef652
2025-08-26T20:20:32.2094987Z  * [new tag]                 trunk/b9e9e92817fd7d1a778f074105603efb07e05004 -> trunk/b9e9e92817fd7d1a778f074105603efb07e05004
2025-08-26T20:20:32.2096176Z  * [new tag]                 trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84
2025-08-26T20:20:32.2097485Z  * [new tag]                 trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045 -> trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045
2025-08-26T20:20:32.2098830Z  * [new tag]                 trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a -> trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a
2025-08-26T20:20:32.2100149Z  * [new tag]                 trunk/be2e6b3158552405acc13ef7829a0217826fb271 -> trunk/be2e6b3158552405acc13ef7829a0217826fb271
2025-08-26T20:20:32.2101398Z  * [new tag]                 trunk/be87f22dfba4488963fcc854699829e2782ee0f2 -> trunk/be87f22dfba4488963fcc854699829e2782ee0f2
2025-08-26T20:20:32.2102681Z  * [new tag]                 trunk/becd6cd744bdf950578519437652a0d1f4b48781 -> trunk/becd6cd744bdf950578519437652a0d1f4b48781
2025-08-26T20:20:32.2104187Z  * [new tag]                 trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216 -> trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216
2025-08-26T20:20:32.2105488Z  * [new tag]                 trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32 -> trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32
2025-08-26T20:20:32.2106767Z  * [new tag]                 trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7 -> trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7
2025-08-26T20:20:32.2108058Z  * [new tag]                 trunk/c2390087c34c964ef648addf43efb8c6a34e30c2 -> trunk/c2390087c34c964ef648addf43efb8c6a34e30c2
2025-08-26T20:20:32.2109408Z  * [new tag]                 trunk/c4670e40c9b741d50a79b714e3830149833be908 -> trunk/c4670e40c9b741d50a79b714e3830149833be908
2025-08-26T20:20:32.2110754Z  * [new tag]                 trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a -> trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a
2025-08-26T20:20:32.2112063Z  * [new tag]                 trunk/c60dea5261d9648d1da51528a07731966bb6823e -> trunk/c60dea5261d9648d1da51528a07731966bb6823e
2025-08-26T20:20:32.2113356Z  * [new tag]                 trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc -> trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc
2025-08-26T20:20:32.2114620Z  * [new tag]                 trunk/c7a77470c54b28e555319e34048af14d1d66198a -> trunk/c7a77470c54b28e555319e34048af14d1d66198a
2025-08-26T20:20:32.2115923Z  * [new tag]                 trunk/c7fb031706330684fc3a2d8d169bebea874d4e95 -> trunk/c7fb031706330684fc3a2d8d169bebea874d4e95
2025-08-26T20:20:32.2117295Z  * [new tag]                 trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca -> trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca
2025-08-26T20:20:32.2118616Z  * [new tag]                 trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f -> trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f
2025-08-26T20:20:32.2120006Z  * [new tag]                 trunk/caf98fde0d5c47452af45dc77099449edd521579 -> trunk/caf98fde0d5c47452af45dc77099449edd521579
2025-08-26T20:20:32.2121216Z  * [new tag]                 trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1 -> trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1
2025-08-26T20:20:32.2122482Z  * [new tag]                 trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f -> trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f
2025-08-26T20:20:32.2123856Z  * [new tag]                 trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d -> trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d
2025-08-26T20:20:32.2125286Z  * [new tag]                 trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec -> trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec
2025-08-26T20:20:32.2126536Z  * [new tag]                 trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138 -> trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138
2025-08-26T20:20:32.2127848Z  * [new tag]                 trunk/ce048de608180fa88335e5821070472539968b54 -> trunk/ce048de608180fa88335e5821070472539968b54
2025-08-26T20:20:32.2129183Z  * [new tag]                 trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936 -> trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936
2025-08-26T20:20:32.2130438Z  * [new tag]                 trunk/cee72119b2dec7776bc2550dd39a9b1349772751 -> trunk/cee72119b2dec7776bc2550dd39a9b1349772751
2025-08-26T20:20:32.2131977Z  * [new tag]                 trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0 -> trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0
2025-08-26T20:20:32.2133298Z  * [new tag]                 trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e -> trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e
2025-08-26T20:20:32.2134762Z  * [new tag]                 trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a -> trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a
2025-08-26T20:20:32.2136032Z  * [new tag]                 trunk/d228a776e90368bb693837ae23285ad8fc33def5 -> trunk/d228a776e90368bb693837ae23285ad8fc33def5
2025-08-26T20:20:32.2137342Z  * [new tag]                 trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31 -> trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31
2025-08-26T20:20:32.2138658Z  * [new tag]                 trunk/d2bd55d8de784df439b38378f161271dc43b744c -> trunk/d2bd55d8de784df439b38378f161271dc43b744c
2025-08-26T20:20:32.2139996Z  * [new tag]                 trunk/d4703fb91c3510460d71f648da113177edf593c8 -> trunk/d4703fb91c3510460d71f648da113177edf593c8
2025-08-26T20:20:32.2141299Z  * [new tag]                 trunk/d875d3ca1e5099636c766c9df70ac5888c25215a -> trunk/d875d3ca1e5099636c766c9df70ac5888c25215a
2025-08-26T20:20:32.2142675Z  * [new tag]                 trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892 -> trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892
2025-08-26T20:20:32.2145663Z  * [new tag]                 trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e -> trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e
2025-08-26T20:20:32.2146988Z  * [new tag]                 trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0 -> trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0
2025-08-26T20:20:32.2148537Z  * [new tag]                 trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8 -> trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8
2025-08-26T20:20:32.2150010Z  * [new tag]                 trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769 -> trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769
2025-08-26T20:20:32.2151509Z  * [new tag]                 trunk/df571ae7ad7dacf77ce42c00189cf369d7993387 -> trunk/df571ae7ad7dacf77ce42c00189cf369d7993387
2025-08-26T20:20:32.2152693Z  * [new tag]                 trunk/df6073641079c781e66a905e4f15ee49ac257eb2 -> trunk/df6073641079c781e66a905e4f15ee49ac257eb2
2025-08-26T20:20:32.2154024Z  * [new tag]                 trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec -> trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec
2025-08-26T20:20:32.2155319Z  * [new tag]                 trunk/e20f6d798606f3245686e950c43635bbe526232d -> trunk/e20f6d798606f3245686e950c43635bbe526232d
2025-08-26T20:20:32.2156694Z  * [new tag]                 trunk/e25ee0290ef16503f178e04890c15717f6e9ea44 -> trunk/e25ee0290ef16503f178e04890c15717f6e9ea44
2025-08-26T20:20:32.2157991Z  * [new tag]                 trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa -> trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa
2025-08-26T20:20:32.2159351Z  * [new tag]                 trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a -> trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a
2025-08-26T20:20:32.2160635Z  * [new tag]                 trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79 -> trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79
2025-08-26T20:20:32.2161810Z  * [new tag]                 trunk/e4839470470168648dee5997f57347bb8541ea2b -> trunk/e4839470470168648dee5997f57347bb8541ea2b
2025-08-26T20:20:32.2163047Z  * [new tag]                 trunk/e63155751825ba026ced3a1fc89563231bc85ccc -> trunk/e63155751825ba026ced3a1fc89563231bc85ccc
2025-08-26T20:20:32.2164375Z  * [new tag]                 trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717 -> trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717
2025-08-26T20:20:32.2165763Z  * [new tag]                 trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb -> trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb
2025-08-26T20:20:32.2167147Z  * [new tag]                 trunk/e795450a35bca909902e12de99245e1c0e7e2872 -> trunk/e795450a35bca909902e12de99245e1c0e7e2872
2025-08-26T20:20:32.2168443Z  * [new tag]                 trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71 -> trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71
2025-08-26T20:20:32.2169723Z  * [new tag]                 trunk/e836323a23f5750e800abe04ef8ca386b3066b58 -> trunk/e836323a23f5750e800abe04ef8ca386b3066b58
2025-08-26T20:20:32.2171039Z  * [new tag]                 trunk/e83825f91cb2901567fedbf31ba7cc434a897271 -> trunk/e83825f91cb2901567fedbf31ba7cc434a897271
2025-08-26T20:20:32.2173091Z  * [new tag]                 trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3 -> trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3
2025-08-26T20:20:32.2174370Z  * [new tag]                 trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4 -> trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4
2025-08-26T20:20:32.2175687Z  * [new tag]                 trunk/eba1ad09e47b66478f973e03cece7f314ac3b412 -> trunk/eba1ad09e47b66478f973e03cece7f314ac3b412
2025-08-26T20:20:32.2177062Z  * [new tag]                 trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282 -> trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282
2025-08-26T20:20:32.2178342Z  * [new tag]                 trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2 -> trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2
2025-08-26T20:20:32.2179617Z  * [new tag]                 trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3 -> trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3
2025-08-26T20:20:32.2180918Z  * [new tag]                 trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259 -> trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259
2025-08-26T20:20:32.2182217Z  * [new tag]                 trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a -> trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a
2025-08-26T20:20:32.2183493Z  * [new tag]                 trunk/f085f299584b06a2a7d8855eda2a411313e782ad -> trunk/f085f299584b06a2a7d8855eda2a411313e782ad
2025-08-26T20:20:32.2184845Z  * [new tag]                 trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8 -> trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8
2025-08-26T20:20:32.2186236Z  * [new tag]                 trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999 -> trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999
2025-08-26T20:20:32.2187574Z  * [new tag]                 trunk/f30501937738a2440f90988d1d46920529309ba8 -> trunk/f30501937738a2440f90988d1d46920529309ba8
2025-08-26T20:20:32.2188904Z  * [new tag]                 trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744 -> trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744
2025-08-26T20:20:32.2190088Z  * [new tag]                 trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1 -> trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1
2025-08-26T20:20:32.2191237Z  * [new tag]                 trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a -> trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a
2025-08-26T20:20:32.2192569Z  * [new tag]                 trunk/f795e92802c55608ad4f4f198726d250056d0232 -> trunk/f795e92802c55608ad4f4f198726d250056d0232
2025-08-26T20:20:32.2193976Z  * [new tag]                 trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d -> trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d
2025-08-26T20:20:32.2195351Z  * [new tag]                 trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935 -> trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935
2025-08-26T20:20:32.2196585Z  * [new tag]                 trunk/f912c93344caa74e24c8164a2e25fe84a8203073 -> trunk/f912c93344caa74e24c8164a2e25fe84a8203073
2025-08-26T20:20:32.2197985Z  * [new tag]                 trunk/f9875166a953a51bbd454d963ee03d41818a27e8 -> trunk/f9875166a953a51bbd454d963ee03d41818a27e8
2025-08-26T20:20:32.2199303Z  * [new tag]                 trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36 -> trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36
2025-08-26T20:20:32.2200618Z  * [new tag]                 trunk/fab5dac734344105ae107e85c08151758a4a9b4d -> trunk/fab5dac734344105ae107e85c08151758a4a9b4d
2025-08-26T20:20:32.2202037Z  * [new tag]                 trunk/fb241d0a448f1dd88471098ac149418124a7c4aa -> trunk/fb241d0a448f1dd88471098ac149418124a7c4aa
2025-08-26T20:20:32.2203393Z  * [new tag]                 trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1 -> trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1
2025-08-26T20:20:32.2206029Z  * [new tag]                 trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0 -> trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0
2025-08-26T20:20:32.2207354Z  * [new tag]                 trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0 -> trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0
2025-08-26T20:20:32.2208730Z  * [new tag]                 trunk/fecc5f600110209aaaedead11770a445b3c879e6 -> trunk/fecc5f600110209aaaedead11770a445b3c879e6
2025-08-26T20:20:32.2210075Z  * [new tag]                 trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8 -> trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8
2025-08-26T20:20:32.2211315Z  * [new tag]                 trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec -> trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec
2025-08-26T20:20:32.2212494Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-08-26T20:20:32.2213776Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-08-26T20:20:32.2215009Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-08-26T20:20:32.2216243Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-08-26T20:20:32.2217389Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-08-26T20:20:32.2218640Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-08-26T20:20:32.2219779Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-08-26T20:20:32.2221071Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-08-26T20:20:32.2222716Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-08-26T20:20:32.2223906Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-08-26T20:20:32.2225053Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-08-26T20:20:32.2226203Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-08-26T20:20:32.2227407Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-08-26T20:20:32.2228799Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-08-26T20:20:32.2230041Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-08-26T20:20:32.2231247Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-08-26T20:20:32.2232492Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-08-26T20:20:32.2233725Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-08-26T20:20:32.2234995Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-08-26T20:20:32.2236293Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-08-26T20:20:32.2237618Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-08-26T20:20:32.2238657Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-08-26T20:20:32.2239888Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-08-26T20:20:32.2241163Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-08-26T20:20:32.2242558Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-08-26T20:20:32.2244073Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-08-26T20:20:32.2245382Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-08-26T20:20:32.2246460Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-08-26T20:20:32.2247729Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-08-26T20:20:32.2248828Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-08-26T20:20:32.2249855Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-08-26T20:20:32.2250962Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-08-26T20:20:32.2252214Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-08-26T20:20:32.2253508Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-08-26T20:20:32.2254827Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-08-26T20:20:32.2256108Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-08-26T20:20:32.2257392Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-08-26T20:20:32.2258712Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-08-26T20:20:32.2259760Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-08-26T20:20:32.2260749Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-08-26T20:20:32.2262004Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-08-26T20:20:32.2263187Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-08-26T20:20:32.2264451Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-08-26T20:20:32.2265783Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-08-26T20:20:32.2267121Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-08-26T20:20:32.2268330Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-08-26T20:20:32.2269592Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-08-26T20:20:32.2270663Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-08-26T20:20:32.2271700Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-08-26T20:20:32.2272769Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-08-26T20:20:32.2274089Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-08-26T20:20:32.2275347Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-08-26T20:20:32.2276908Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-08-26T20:20:32.2278135Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-08-26T20:20:32.2279347Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-08-26T20:20:32.2280505Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-08-26T20:20:32.2281693Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-08-26T20:20:32.2282974Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-08-26T20:20:32.2284169Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-08-26T20:20:32.2285450Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-08-26T20:20:32.2286512Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-08-26T20:20:32.2287700Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-08-26T20:20:32.2288965Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-08-26T20:20:32.2290101Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-08-26T20:20:32.2291345Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-08-26T20:20:32.2292683Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-08-26T20:20:32.2293936Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-08-26T20:20:32.2295119Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-08-26T20:20:32.2296219Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-08-26T20:20:32.2297440Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-08-26T20:20:32.2298692Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-08-26T20:20:32.2299754Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-08-26T20:20:32.2301531Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-08-26T20:20:32.2302927Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-08-26T20:20:32.2304244Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-08-26T20:20:32.2305557Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-08-26T20:20:32.2306706Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-08-26T20:20:32.2307767Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-08-26T20:20:32.2309141Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-08-26T20:20:32.2310166Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-08-26T20:20:32.2311194Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-08-26T20:20:32.2312437Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-08-26T20:20:32.2313745Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-08-26T20:20:32.2315013Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-08-26T20:20:32.2316365Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-08-26T20:20:32.2317748Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-08-26T20:20:32.2318959Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-08-26T20:20:32.2320001Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-08-26T20:20:32.2321269Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-08-26T20:20:32.2322659Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-08-26T20:20:32.2324138Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-08-26T20:20:32.2325400Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-08-26T20:20:32.2326435Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-08-26T20:20:32.2327715Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-08-26T20:20:32.2329079Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-08-26T20:20:32.2330416Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-08-26T20:20:32.2331580Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-08-26T20:20:32.2332731Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-08-26T20:20:32.2333767Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-08-26T20:20:32.2335014Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-08-26T20:20:32.2336296Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-08-26T20:20:32.2337561Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-08-26T20:20:32.2338622Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-08-26T20:20:32.2339657Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-08-26T20:20:32.2341020Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-08-26T20:20:32.2342098Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-08-26T20:20:32.2343392Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-08-26T20:20:32.2345056Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-08-26T20:20:32.2346130Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-08-26T20:20:32.2347367Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-08-26T20:20:32.2348599Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-08-26T20:20:32.2349979Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-08-26T20:20:32.2351355Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-08-26T20:20:32.2352411Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-08-26T20:20:32.2353692Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-08-26T20:20:32.2355085Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-08-26T20:20:32.2356241Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-08-26T20:20:32.2357558Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-08-26T20:20:32.2358764Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-08-26T20:20:32.2360084Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-08-26T20:20:32.2361406Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-08-26T20:20:32.2362604Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-08-26T20:20:32.2363832Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-08-26T20:20:32.2364901Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-08-26T20:20:32.2366246Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-08-26T20:20:32.2367573Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-08-26T20:20:32.2368605Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-08-26T20:20:32.2369869Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-08-26T20:20:32.2370944Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-08-26T20:20:32.2372624Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-08-26T20:20:32.2373898Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-08-26T20:20:32.2375138Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-08-26T20:20:32.2376499Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-08-26T20:20:32.2377795Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-08-26T20:20:32.2379102Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-08-26T20:20:32.2380139Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-08-26T20:20:32.2381983Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-08-26T20:20:32.2383373Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-08-26T20:20:32.2384524Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-08-26T20:20:32.2385800Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-08-26T20:20:32.2387132Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-08-26T20:20:32.2388362Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-08-26T20:20:32.2389419Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-08-26T20:20:32.2390658Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-08-26T20:20:32.2392016Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-08-26T20:20:32.2393286Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-08-26T20:20:32.2394338Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-08-26T20:20:32.2395672Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-08-26T20:20:32.2397181Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-08-26T20:20:32.2398318Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-08-26T20:20:32.2399532Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-08-26T20:20:32.2400743Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-08-26T20:20:32.2402103Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-08-26T20:20:32.2403444Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-08-26T20:20:32.2404515Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-08-26T20:20:32.2405580Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-08-26T20:20:32.2406912Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-08-26T20:20:32.2408244Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-08-26T20:20:32.2409302Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-08-26T20:20:32.2410409Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-08-26T20:20:32.2411525Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-08-26T20:20:32.2412852Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-08-26T20:20:32.2413891Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-08-26T20:20:32.2414935Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-08-26T20:20:32.2416310Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-08-26T20:20:32.2417539Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-08-26T20:20:32.2418799Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-08-26T20:20:32.2420104Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-08-26T20:20:32.2421209Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-08-26T20:20:32.2422417Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-08-26T20:20:32.2423682Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-08-26T20:20:32.2424933Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-08-26T20:20:32.2426246Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-08-26T20:20:32.2427263Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-08-26T20:20:32.2428492Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-08-26T20:20:32.2429739Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-08-26T20:20:32.2430816Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-08-26T20:20:32.2431841Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-08-26T20:20:32.2433214Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-08-26T20:20:32.2434449Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-08-26T20:20:32.2435668Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-08-26T20:20:32.2437103Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-08-26T20:20:32.2438325Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-08-26T20:20:32.2439558Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-08-26T20:20:32.2440841Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-08-26T20:20:32.2442041Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-08-26T20:20:32.2443361Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-08-26T20:20:32.2444789Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-08-26T20:20:32.2446082Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-08-26T20:20:32.2447318Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-08-26T20:20:32.2448660Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-08-26T20:20:32.2449810Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-08-26T20:20:32.2451172Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-08-26T20:20:32.2452408Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-08-26T20:20:32.2453749Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-08-26T20:20:32.2455001Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-08-26T20:20:32.2456382Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-08-26T20:20:32.2457423Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-08-26T20:20:32.2458648Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-08-26T20:20:32.2459987Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-08-26T20:20:32.2461773Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-08-26T20:20:32.2462934Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-08-26T20:20:32.2464317Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-08-26T20:20:32.2465513Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-08-26T20:20:32.2466889Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-08-26T20:20:32.2468108Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-08-26T20:20:32.2469169Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-08-26T20:20:32.2470231Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-08-26T20:20:32.2471308Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-08-26T20:20:32.2472591Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-08-26T20:20:32.2473872Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-08-26T20:20:32.2475158Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-08-26T20:20:32.2476595Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-08-26T20:20:32.2477982Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-08-26T20:20:32.2479391Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-08-26T20:20:32.2480663Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-08-26T20:20:32.2482044Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-08-26T20:20:32.2483276Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-08-26T20:20:32.2484691Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-08-26T20:20:32.2486088Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-08-26T20:20:32.2487070Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-08-26T20:20:32.2488374Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-08-26T20:20:32.2489728Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-08-26T20:20:32.2491090Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-08-26T20:20:32.2492331Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-08-26T20:20:32.2493627Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-08-26T20:20:32.2494906Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-08-26T20:20:32.2496217Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-08-26T20:20:32.2497587Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-08-26T20:20:32.2498603Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-08-26T20:20:32.2499897Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-08-26T20:20:32.2501201Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-08-26T20:20:32.2502595Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-08-26T20:20:32.2503849Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-08-26T20:20:32.2505088Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-08-26T20:20:32.2506182Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-08-26T20:20:32.2507587Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-08-26T20:20:32.2508808Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-08-26T20:20:32.2510192Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-08-26T20:20:32.2511516Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-08-26T20:20:32.2512900Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-08-26T20:20:32.2514212Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-08-26T20:20:32.2515480Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-08-26T20:20:32.2516984Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-08-26T20:20:32.2518284Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-08-26T20:20:32.2519523Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-08-26T20:20:32.2520739Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-08-26T20:20:32.3368413Z [command]/usr/bin/git rev-parse --verify --quiet 262640fd220236042fbf4443cc163c8838c84c3d^{object}
2025-08-26T20:20:32.3393224Z 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:20:32.3398341Z ##[endgroup]
2025-08-26T20:20:32.3398654Z ##[group]Determining the checkout info
2025-08-26T20:20:32.3399522Z ##[endgroup]
2025-08-26T20:20:32.3403349Z [command]/usr/bin/git sparse-checkout disable
2025-08-26T20:20:32.3445589Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-08-26T20:20:32.3472083Z ##[group]Checking out the ref
2025-08-26T20:20:32.3475057Z [command]/usr/bin/git checkout --progress --force 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:20:33.3853665Z Updating files:  76% (14742/19395)
2025-08-26T20:20:33.3989038Z Updating files:  77% (14935/19395)
2025-08-26T20:20:33.4180290Z Updating files:  78% (15129/19395)
2025-08-26T20:20:33.4431282Z Updating files:  79% (15323/19395)
2025-08-26T20:20:33.4690795Z Updating files:  80% (15516/19395)
2025-08-26T20:20:33.4976968Z Updating files:  81% (15710/19395)
2025-08-26T20:20:33.5197361Z Updating files:  82% (15904/19395)
2025-08-26T20:20:33.5356940Z Updating files:  83% (16098/19395)
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2025-08-26T20:20:33.8372569Z Note: switching to '262640fd220236042fbf4443cc163c8838c84c3d'.
2025-08-26T20:20:33.8372852Z 
2025-08-26T20:20:33.8373059Z You are in 'detached HEAD' state. You can look around, make experimental
2025-08-26T20:20:33.8373588Z changes and commit them, and you can discard any commits you make in this
2025-08-26T20:20:33.8374104Z state without impacting any branches by switching back to a branch.
2025-08-26T20:20:33.8374384Z 
2025-08-26T20:20:33.8374575Z If you want to create a new branch to retain commits you create, you may
2025-08-26T20:20:33.8375025Z do so (now or later) by using -c with the switch command. Example:
2025-08-26T20:20:33.8375279Z 
2025-08-26T20:20:33.8375386Z   git switch -c <new-branch-name>
2025-08-26T20:20:33.8375571Z 
2025-08-26T20:20:33.8375670Z Or undo this operation with:
2025-08-26T20:20:33.8375836Z 
2025-08-26T20:20:33.8375920Z   git switch -
2025-08-26T20:20:33.8376055Z 
2025-08-26T20:20:33.8376284Z Turn off this advice by setting config variable advice.detachedHead to false
2025-08-26T20:20:33.8376592Z 
2025-08-26T20:20:33.8376806Z HEAD is now at 262640fd220 [ROCm][CI] restore test_flex_attention tests (#161519)
2025-08-26T20:20:33.8493793Z ##[endgroup]
2025-08-26T20:20:33.8494212Z ##[group]Setting up auth for fetching submodules
2025-08-26T20:20:33.8499395Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-26T20:20:33.8551254Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-08-26T20:20:33.8580879Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-08-26T20:20:33.8611736Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-08-26T20:20:33.8637214Z ##[endgroup]
2025-08-26T20:20:33.8637709Z ##[group]Fetching submodules
2025-08-26T20:20:33.8641170Z [command]/usr/bin/git submodule sync --recursive
2025-08-26T20:20:33.8993847Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-08-26T20:20:33.9334792Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-08-26T20:20:33.9697331Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-08-26T20:20:33.9703241Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-08-26T20:20:33.9706579Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-08-26T20:20:33.9710545Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-08-26T20:20:33.9715139Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-08-26T20:20:33.9735883Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-08-26T20:20:33.9741794Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-08-26T20:20:33.9747297Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-08-26T20:20:33.9751708Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-08-26T20:20:33.9756675Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-08-26T20:20:33.9772737Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-08-26T20:20:33.9778021Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-08-26T20:20:33.9783093Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-08-26T20:20:33.9787872Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-08-26T20:20:33.9805622Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-08-26T20:20:33.9810536Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-08-26T20:20:33.9818116Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-08-26T20:20:33.9823139Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:20:33.9828051Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-08-26T20:20:33.9845893Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-08-26T20:20:33.9850825Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-08-26T20:20:33.9855881Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-08-26T20:20:33.9861091Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-08-26T20:20:33.9878270Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-08-26T20:20:33.9883683Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-08-26T20:20:33.9889015Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-08-26T20:20:33.9894426Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-08-26T20:20:33.9900131Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-08-26T20:20:33.9917466Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-08-26T20:20:33.9923160Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-08-26T20:20:33.9928775Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-08-26T20:20:33.9934608Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-08-26T20:20:33.9951824Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-08-26T20:20:33.9960469Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-08-26T20:20:33.9966254Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-08-26T20:20:33.9972357Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
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2025-08-26T20:20:34.2555508Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-08-26T20:20:34.2556536Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-08-26T20:20:34.2589741Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-08-26T20:20:36.8726325Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-08-26T20:20:36.8727765Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-08-26T20:20:36.8728992Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-08-26T20:20:36.8730464Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-08-26T20:20:36.8733735Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-08-26T20:20:36.8734881Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-08-26T20:20:36.8735935Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-08-26T20:20:36.8737053Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-08-26T20:20:36.8738196Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-08-26T20:20:36.8739334Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-08-26T20:20:36.8740382Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-08-26T20:20:36.8741601Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-08-26T20:20:36.8742696Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-08-26T20:20:36.8751067Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-08-26T20:20:36.8752228Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-08-26T20:20:36.8954385Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-08-26T20:20:36.8955410Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-08-26T20:20:36.8956540Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-08-26T20:20:36.8957472Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-08-26T20:20:36.9457361Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-08-26T20:20:37.4063488Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-08-26T20:20:37.4064898Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-08-26T20:20:37.5065006Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-08-26T20:20:40.9373809Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-08-26T20:20:40.9374895Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-08-26T20:20:40.9375986Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-08-26T20:20:40.9377171Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-08-26T20:20:41.0374449Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-08-26T20:20:52.0160019Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-08-26T20:20:52.0160761Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-08-26T20:20:52.0161449Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
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2025-08-26T20:20:52.0162748Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-08-26T20:20:52.0352622Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-08-26T20:20:52.0503355Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
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2025-08-26T20:20:52.0930813Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-08-26T20:20:52.1781075Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-08-26T20:20:52.2307895Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-08-26T20:20:53.1204573Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-08-26T20:20:53.2880541Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-08-26T20:20:53.2904749Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:20:53.2936022Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-08-26T20:20:56.8793702Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-08-26T20:20:56.9083619Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-08-26T20:20:57.3063302Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-08-26T20:20:57.3627173Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c'
2025-08-26T20:20:57.4638405Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
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2025-08-26T20:20:58.2234458Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491'
2025-08-26T20:20:58.3903970Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067'
2025-08-26T20:20:58.3928776Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-08-26T20:20:58.3932198Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:20:58.3935648Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:20:58.3939155Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-08-26T20:20:58.3942990Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-08-26T20:20:58.3947478Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:20:58.3950820Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-08-26T20:20:58.3985004Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
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2025-08-26T20:21:05.0730980Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-08-26T20:21:05.4103245Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9'
2025-08-26T20:21:05.5138912Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-08-26T20:21:06.2069169Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad'
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2025-08-26T20:21:06.2707772Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c'
2025-08-26T20:21:06.3929466Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-08-26T20:21:06.4769456Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-08-26T20:21:06.4790905Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:21:06.4794162Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:21:06.4827460Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-08-26T20:21:09.5788284Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-08-26T20:21:09.8737487Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-08-26T20:21:10.5104894Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-08-26T20:21:10.6770284Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-08-26T20:21:10.7121496Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-08-26T20:21:10.7539726Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-08-26T20:21:10.7851876Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2'
2025-08-26T20:21:10.8512347Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-26T20:21:10.8677973Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-08-26T20:21:10.8698320Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-08-26T20:21:10.8730771Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-08-26T20:21:22.8231845Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-08-26T20:21:22.8498902Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-08-26T20:21:22.9380664Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-08-26T20:21:22.9401160Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:21:22.9404236Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:21:22.9407813Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:21:22.9440637Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-08-26T20:21:23.5969662Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-08-26T20:21:24.1340049Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-08-26T20:21:24.2173099Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-08-26T20:21:24.2194458Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:21:24.2198115Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:21:24.2201658Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:21:24.2205125Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:21:24.2208794Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:21:24.2212551Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:21:24.2216240Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:21:24.2220180Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:21:24.2255099Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-08-26T20:21:25.5645540Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-08-26T20:21:25.5646649Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-08-26T20:21:25.5647656Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-08-26T20:21:25.5648655Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-08-26T20:21:25.5649945Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-08-26T20:21:25.5650971Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-08-26T20:21:25.6644614Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-08-26T20:21:31.9339941Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-08-26T20:21:31.9565938Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-08-26T20:21:31.9966088Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-08-26T20:21:32.0132850Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-08-26T20:21:32.0154791Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:21:32.0193514Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-08-26T20:21:32.2959677Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-08-26T20:21:32.3185638Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-08-26T20:21:32.3631183Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-08-26T20:21:32.4721687Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-08-26T20:21:32.4924373Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-08-26T20:21:32.5324121Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-08-26T20:21:32.5932664Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-08-26T20:21:32.6433923Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-08-26T20:21:32.6874463Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-08-26T20:21:32.8154660Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-08-26T20:21:33.3890543Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-08-26T20:21:33.3927465Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-08-26T20:21:33.3959705Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-08-26T20:21:34.2506440Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-26T20:21:34.3389305Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-08-26T20:21:34.3411710Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:21:34.3415067Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:21:34.3418862Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:21:34.3422159Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:21:34.3425919Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:21:34.3429536Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:21:34.3433251Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:21:34.3436903Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:21:34.3470356Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-08-26T20:21:34.7416536Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-08-26T20:21:34.7417449Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-08-26T20:21:34.7418277Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-08-26T20:21:34.7419004Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-08-26T20:21:34.8417635Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-08-26T20:21:35.3959719Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-08-26T20:21:42.4557420Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-08-26T20:21:42.4789693Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-08-26T20:21:42.5228274Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-08-26T20:21:42.5425961Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-08-26T20:21:42.6601245Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-08-26T20:21:42.6772492Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-08-26T20:21:42.6962805Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-08-26T20:21:42.7175874Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-08-26T20:21:42.7204094Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:21:42.7207458Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:21:42.7240688Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-08-26T20:21:44.5050931Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-08-26T20:21:44.7507280Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-08-26T20:21:44.8002393Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-08-26T20:21:45.4666388Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-08-26T20:21:45.4813095Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-08-26T20:21:45.7728024Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-08-26T20:21:45.7754345Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:21:45.7757874Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-08-26T20:21:45.7791056Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-08-26T20:21:46.2773308Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-08-26T20:21:46.6307408Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-08-26T20:21:46.7031738Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-08-26T20:21:46.7151192Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-08-26T20:21:46.7303744Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-08-26T20:21:46.7762818Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-08-26T20:21:46.8080760Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-08-26T20:21:46.8541680Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-08-26T20:21:46.8879246Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075'
2025-08-26T20:21:46.8900295Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:21:46.8903730Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:21:46.8907397Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:21:46.8910838Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:21:46.8943691Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-08-26T20:21:47.8809562Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-08-26T20:21:47.8810499Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
2025-08-26T20:21:47.9811021Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'...
2025-08-26T20:21:48.0934087Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-08-26T20:21:48.1137045Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-08-26T20:21:48.1907102Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
2025-08-26T20:21:48.2260340Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-08-26T20:21:48.2280603Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang'
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2025-08-26T20:21:48.8708226Z ##[endgroup]
2025-08-26T20:21:48.8708895Z ##[group]Persisting credentials for submodules
2025-08-26T20:21:48.8715277Z [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' || :"
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2025-08-26T20:21:49.4312868Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:21:49.4377107Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:21:49.4464975Z [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"
2025-08-26T20:21:49.4802972Z Entering 'android/libs/fbjni'
2025-08-26T20:21:49.4866369Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-08-26T20:21:49.4888389Z Entering 'third_party/FP16'
2025-08-26T20:21:49.4952063Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-08-26T20:21:49.4972308Z Entering 'third_party/FXdiv'
2025-08-26T20:21:49.5034836Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
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2025-08-26T20:21:49.5538562Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
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2025-08-26T20:21:49.5719936Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
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2025-08-26T20:21:49.5808880Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
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2025-08-26T20:21:49.5891134Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
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2025-08-26T20:21:49.5976683Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
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2025-08-26T20:21:49.6067630Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-08-26T20:21:49.6095946Z Entering 'third_party/fbgemm'
2025-08-26T20:21:49.6158996Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
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2025-08-26T20:21:49.6323425Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
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2025-08-26T20:21:49.6415678Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
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2025-08-26T20:21:49.6496795Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
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2025-08-26T20:21:49.6608205Z Entering 'third_party/fbgemm/external/hipify_torch'
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2025-08-26T20:21:49.7008485Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
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2025-08-26T20:21:49.9462602Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
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2025-08-26T20:21:50.4954434Z Entering 'third_party/nlohmann'
2025-08-26T20:21:50.5005297Z Entering 'third_party/onnx'
2025-08-26T20:21:50.5069482Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T20:21:50.5122732Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T20:21:50.5172819Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:21:50.5221369Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:21:50.5271065Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:21:50.5320549Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:21:50.5375010Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:21:50.5423353Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:21:50.5471931Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:21:50.5518393Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:21:50.5572110Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:21:50.5623071Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:21:50.5689906Z Entering 'third_party/pocketfft'
2025-08-26T20:21:50.5741168Z Entering 'third_party/protobuf'
2025-08-26T20:21:50.5794366Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:21:50.5842331Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T20:21:50.5894664Z Entering 'third_party/psimd'
2025-08-26T20:21:50.5944451Z Entering 'third_party/pthreadpool'
2025-08-26T20:21:50.5993631Z Entering 'third_party/pybind11'
2025-08-26T20:21:50.6043984Z Entering 'third_party/python-peachpy'
2025-08-26T20:21:50.6092339Z Entering 'third_party/sleef'
2025-08-26T20:21:50.6140775Z Entering 'third_party/tensorpipe'
2025-08-26T20:21:50.6191137Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:21:50.6240823Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:21:50.6291049Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:21:50.6340988Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:21:50.6390309Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:21:50.6466278Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-08-26T20:21:50.6800711Z Entering 'android/libs/fbjni'
2025-08-26T20:21:50.6852251Z Entering 'third_party/FP16'
2025-08-26T20:21:50.6902211Z Entering 'third_party/FXdiv'
2025-08-26T20:21:50.6951544Z Entering 'third_party/NNPACK'
2025-08-26T20:21:50.7001946Z Entering 'third_party/NVTX'
2025-08-26T20:21:50.7052756Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:21:50.7102987Z Entering 'third_party/XNNPACK'
2025-08-26T20:21:50.7163456Z Entering 'third_party/aiter'
2025-08-26T20:21:50.7212752Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:21:50.7268695Z Entering 'third_party/benchmark'
2025-08-26T20:21:50.7319813Z Entering 'third_party/composable_kernel'
2025-08-26T20:21:50.7377416Z Entering 'third_party/cpp-httplib'
2025-08-26T20:21:50.7427638Z Entering 'third_party/cpuinfo'
2025-08-26T20:21:50.7480033Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:21:50.7529041Z Entering 'third_party/cutlass'
2025-08-26T20:21:50.7591055Z Entering 'third_party/fbgemm'
2025-08-26T20:21:50.7643966Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T20:21:50.7692117Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:21:50.7746519Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:21:50.7794240Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T20:21:50.7849961Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T20:21:50.7897982Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:21:50.7944313Z Entering 'third_party/fbgemm/external/json'
2025-08-26T20:21:50.7996326Z Entering 'third_party/flash-attention'
2025-08-26T20:21:50.8048316Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:21:50.8105010Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:21:50.8162816Z Entering 'third_party/flatbuffers'
2025-08-26T20:21:50.8215508Z Entering 'third_party/fmt'
2025-08-26T20:21:50.8264617Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:21:50.8317554Z Entering 'third_party/gloo'
2025-08-26T20:21:50.8365967Z Entering 'third_party/googletest'
2025-08-26T20:21:50.8415004Z Entering 'third_party/ideep'
2025-08-26T20:21:50.8463515Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T20:21:50.8518169Z Entering 'third_party/ittapi'
2025-08-26T20:21:50.8567711Z Entering 'third_party/kineto'
2025-08-26T20:21:50.8638981Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:21:50.8689458Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:21:50.8743111Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:21:50.8792865Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:21:50.8842072Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:21:50.8890856Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:21:50.8944428Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:21:50.8993921Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:21:50.9044718Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:21:50.9094723Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:21:50.9146987Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:21:50.9198167Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:21:50.9250624Z Entering 'third_party/kleidiai'
2025-08-26T20:21:50.9302105Z Entering 'third_party/mimalloc'
2025-08-26T20:21:50.9352870Z Entering 'third_party/nlohmann'
2025-08-26T20:21:50.9403992Z Entering 'third_party/onnx'
2025-08-26T20:21:50.9467993Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T20:21:50.9523821Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T20:21:50.9574402Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:21:50.9622588Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:21:50.9671997Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:21:50.9721313Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:21:50.9772954Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:21:50.9821199Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:21:50.9869787Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:21:50.9922620Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:21:50.9973192Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:21:51.0024848Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:21:51.0090949Z Entering 'third_party/pocketfft'
2025-08-26T20:21:51.0141601Z Entering 'third_party/protobuf'
2025-08-26T20:21:51.0193465Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:21:51.0242280Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T20:21:51.0294402Z Entering 'third_party/psimd'
2025-08-26T20:21:51.0342562Z Entering 'third_party/pthreadpool'
2025-08-26T20:21:51.0393772Z Entering 'third_party/pybind11'
2025-08-26T20:21:51.0444328Z Entering 'third_party/python-peachpy'
2025-08-26T20:21:51.0493825Z Entering 'third_party/sleef'
2025-08-26T20:21:51.0545277Z Entering 'third_party/tensorpipe'
2025-08-26T20:21:51.0595627Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:21:51.0643718Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:21:51.0692395Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:21:51.0740229Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:21:51.0798601Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:21:51.0869675Z ##[endgroup]
2025-08-26T20:21:51.0905891Z [command]/usr/bin/git log -1 --format=%H
2025-08-26T20:21:51.0931022Z 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:21:51.1106880Z Prepare all required actions
2025-08-26T20:21:51.1107337Z Getting action download info
2025-08-26T20:21:51.2392623Z ##[group]Run ./.github/actions/setup-linux
2025-08-26T20:21:51.2392862Z env:
2025-08-26T20:21:51.2393028Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:51.2393227Z ##[endgroup]
2025-08-26T20:21:51.2430356Z ##[group]Run set -euo pipefail
2025-08-26T20:21:51.2430607Z set -euo pipefail
2025-08-26T20:21:51.2430819Z function get_ec2_metadata() {
2025-08-26T20:21:51.2431102Z   # Pulled from instance metadata endpoint for EC2
2025-08-26T20:21:51.2431568Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-08-26T20:21:51.2431971Z   category=$1
2025-08-26T20:21:51.2432232Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-08-26T20:21:51.2432543Z   runner_name_str=i-08b62a2473888d64c
2025-08-26T20:21:51.2432825Z   if [[ -f /.inarc ]]; then
2025-08-26T20:21:51.2433079Z     echo "ARC Runner, no info on ec2 metadata"
2025-08-26T20:21:51.2433368Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-08-26T20:21:51.2433702Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-08-26T20:21:51.2434028Z   else
2025-08-26T20:21:51.2434636Z     curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2025-08-26T20:21:51.2435251Z   fi
2025-08-26T20:21:51.2435410Z }
2025-08-26T20:21:51.2435604Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-08-26T20:21:51.2436000Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-08-26T20:21:51.2436338Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-08-26T20:21:51.2436630Z echo "system info $(uname -a)"
2025-08-26T20:21:51.2446106Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:51.2446394Z env:
2025-08-26T20:21:51.2446553Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:51.2446737Z ##[endgroup]
2025-08-26T20:21:51.2612395Z ami-id: ami-05ffe3c48a9991133
2025-08-26T20:21:51.2714164Z instance-id: i-08b62a2473888d64c
2025-08-26T20:21:51.2814027Z instance-type: g6.4xlarge
2025-08-26T20:21:51.2827304Z system info Linux ip-10-0-49-220.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-08-26T20:21:51.2852238Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:21:51.2852898Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:21:51.2860030Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:51.2860326Z env:
2025-08-26T20:21:51.2860499Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:51.2860700Z ##[endgroup]
2025-08-26T20:21:51.2914809Z ##[group]Run if systemctl is-active --quiet docker; then
2025-08-26T20:21:51.2915129Z if systemctl is-active --quiet docker; then
2025-08-26T20:21:51.2915415Z     echo "Docker daemon is running...";
2025-08-26T20:21:51.2915653Z else
2025-08-26T20:21:51.2916042Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-08-26T20:21:51.2916343Z fi
2025-08-26T20:21:51.2922680Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:51.2922955Z env:
2025-08-26T20:21:51.2923126Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:51.2923313Z ##[endgroup]
2025-08-26T20:21:51.3010524Z Docker daemon is running...
2025-08-26T20:21:51.3047514Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T20:21:51.3047731Z with:
2025-08-26T20:21:51.3047883Z   shell: bash
2025-08-26T20:21:51.3048233Z   timeout_minutes: 5
2025-08-26T20:21:51.3048437Z   max_attempts: 3
2025-08-26T20:21:51.3048608Z   retry_wait_seconds: 30
2025-08-26T20:21:51.3050208Z   command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
    --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"

# For LF Runners we need to make sure we also login to Meta's ECR docker registry too.
META_AWS_ACCOUNT_ID=308535385114
if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then
    aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
        --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
fi

2025-08-26T20:21:51.3051806Z   polling_interval_seconds: 1
2025-08-26T20:21:51.3052011Z   warning_on_retry: true
2025-08-26T20:21:51.3052203Z   continue_on_error: false
2025-08-26T20:21:51.3052388Z env:
2025-08-26T20:21:51.3052538Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:51.3052726Z   AWS_RETRY_MODE: standard
2025-08-26T20:21:51.3052914Z   AWS_MAX_ATTEMPTS: 5
2025-08-26T20:21:51.3053103Z   AWS_DEFAULT_REGION: us-east-1
2025-08-26T20:21:51.3053302Z ##[endgroup]
2025-08-26T20:21:52.3199090Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:21:52.3199715Z Configure a credential helper to remove this warning. See
2025-08-26T20:21:52.3200249Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:21:52.3200598Z 
2025-08-26T20:21:52.3200700Z Login Succeeded
2025-08-26T20:21:52.3807729Z Command completed after 1 attempt(s).
2025-08-26T20:21:52.3875526Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:21:52.3876013Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:21:52.3876353Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:21:52.3885551Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:52.3885824Z env:
2025-08-26T20:21:52.3885988Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:52.3886177Z ##[endgroup]
2025-08-26T20:21:52.3976493Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T20:21:52.3976900Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T20:21:52.3977386Z # shellcheck disable=SC2046
2025-08-26T20:21:52.3977637Z docker stop $(docker ps -q) || true
2025-08-26T20:21:52.3977881Z # Prune all of the docker images
2025-08-26T20:21:52.3978132Z docker system prune -af
2025-08-26T20:21:52.3985227Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:52.3985511Z env:
2025-08-26T20:21:52.3985672Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:52.3985860Z ##[endgroup]
2025-08-26T20:21:52.4261927Z "docker stop" requires at least 1 argument.
2025-08-26T20:21:52.4262383Z See 'docker stop --help'.
2025-08-26T20:21:52.4262585Z 
2025-08-26T20:21:52.4262802Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-08-26T20:21:52.4263106Z 
2025-08-26T20:21:52.4263252Z Stop one or more running containers
2025-08-26T20:21:52.4447679Z Total reclaimed space: 0B
2025-08-26T20:21:52.4500434Z ##[group]Run set +e
2025-08-26T20:21:52.4500675Z set +e
2025-08-26T20:21:52.4500836Z set -x
2025-08-26T20:21:52.4501012Z 
2025-08-26T20:21:52.4501195Z PT_DOMAIN=download.pytorch.org
2025-08-26T20:21:52.4501628Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400,
2025-08-26T20:21:52.4502157Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last
2025-08-26T20:21:52.4502525Z # one is returned at random
2025-08-26T20:21:52.4502812Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1)
2025-08-26T20:21:52.4503095Z 
2025-08-26T20:21:52.4503447Z if [ -z "${RESOLVED_IP}" ]; then
2025-08-26T20:21:52.4503772Z   echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..."
2025-08-26T20:21:52.4504143Z   RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1)
2025-08-26T20:21:52.4504422Z 
2025-08-26T20:21:52.4504597Z   if [ -z "${RESOLVED_IP}" ]; then
2025-08-26T20:21:52.4504872Z     echo "Couldn't resolve ${PT_DOMAIN}, exiting..."
2025-08-26T20:21:52.4505131Z     exit 1
2025-08-26T20:21:52.4505299Z   fi
2025-08-26T20:21:52.4505458Z fi
2025-08-26T20:21:52.4505601Z 
2025-08-26T20:21:52.4505802Z if grep -r "${PT_DOMAIN}" /etc/hosts; then
2025-08-26T20:21:52.4506068Z   # Clean up any old records first
2025-08-26T20:21:52.4506320Z   sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts
2025-08-26T20:21:52.4506545Z fi
2025-08-26T20:21:52.4506694Z 
2025-08-26T20:21:52.4506921Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts
2025-08-26T20:21:52.4507207Z cat /etc/hosts
2025-08-26T20:21:52.4514530Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:52.4514803Z env:
2025-08-26T20:21:52.4514969Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:52.4515170Z ##[endgroup]
2025-08-26T20:21:52.4540724Z + PT_DOMAIN=download.pytorch.org
2025-08-26T20:21:52.4546720Z ++ dig -4 +short download.pytorch.org
2025-08-26T20:21:52.4547938Z ++ tail -n1
2025-08-26T20:21:52.4996370Z + RESOLVED_IP=18.160.10.36
2025-08-26T20:21:52.4996656Z + '[' -z 18.160.10.36 ']'
2025-08-26T20:21:52.4996936Z + grep -r download.pytorch.org /etc/hosts
2025-08-26T20:21:52.5014285Z + echo '18.160.10.36 download.pytorch.org'
2025-08-26T20:21:52.5015666Z + sudo tee -a /etc/hosts
2025-08-26T20:21:52.7905141Z 18.160.10.36 download.pytorch.org
2025-08-26T20:21:52.7926736Z + cat /etc/hosts
2025-08-26T20:21:52.7938479Z 127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
2025-08-26T20:21:52.7945510Z ::1         localhost6 localhost6.localdomain6
2025-08-26T20:21:52.7945879Z 18.160.10.36 download.pytorch.org
2025-08-26T20:21:52.8072938Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-08-26T20:21:52.8073319Z with:
2025-08-26T20:21:52.8073904Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:52.8074711Z   use-custom-docker-registry: true
2025-08-26T20:21:52.8074943Z   docker-build-dir: .ci/docker
2025-08-26T20:21:52.8075163Z   docker-build-script: ./build.sh
2025-08-26T20:21:52.8075376Z   working-directory: .
2025-08-26T20:21:52.8075627Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:21:52.8076005Z   force-push: false
2025-08-26T20:21:52.8076177Z env:
2025-08-26T20:21:52.8076330Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:52.8076516Z ##[endgroup]
2025-08-26T20:21:52.8096514Z ##[group]Run set -ex
2025-08-26T20:21:52.8096753Z set -ex
2025-08-26T20:21:52.8096920Z 
2025-08-26T20:21:52.8097241Z # If the docker build directory or the build script doesn't exist, the action will
2025-08-26T20:21:52.8097718Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-08-26T20:21:52.8098126Z # job could then download the pre-built image as usual
2025-08-26T20:21:52.8098619Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-08-26T20:21:52.8099078Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-08-26T20:21:52.8099321Z else
2025-08-26T20:21:52.8099518Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:21:52.8099832Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:21:52.8100122Z 
2025-08-26T20:21:52.8100519Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-08-26T20:21:52.8100981Z   exit 0
2025-08-26T20:21:52.8101142Z fi
2025-08-26T20:21:52.8101299Z 
2025-08-26T20:21:52.8101544Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-08-26T20:21:52.8101976Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-08-26T20:21:52.8102360Z   # use it as it is, but first let's extract the tag
2025-08-26T20:21:52.8102699Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-08-26T20:21:52.8103075Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:21:52.8103432Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:21:52.8103725Z else
2025-08-26T20:21:52.8103922Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-08-26T20:21:52.8104195Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-08-26T20:21:52.8104478Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-08-26T20:21:52.8104716Z   fi
2025-08-26T20:21:52.8105041Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-08-26T20:21:52.8105470Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:21:52.8105922Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:21:52.8106412Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:21:52.8106716Z fi
2025-08-26T20:21:52.8115490Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:52.8115761Z env:
2025-08-26T20:21:52.8116036Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:52.8116239Z   REPO_NAME: pytorch
2025-08-26T20:21:52.8116970Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:52.8117607Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-26T20:21:52.8117821Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-08-26T20:21:52.8118184Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:21:52.8118479Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-08-26T20:21:52.8118690Z   CUSTOM_TAG_PREFIX: 
2025-08-26T20:21:52.8118868Z ##[endgroup]
2025-08-26T20:21:52.8147556Z + [[ -d .ci/docker ]]
2025-08-26T20:21:52.8147792Z + [[ -f .ci/docker/./build.sh ]]
2025-08-26T20:21:52.8148008Z + [[ true == \t\r\u\e ]]
2025-08-26T20:21:52.8148192Z + echo skip=false
2025-08-26T20:21:52.8149072Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 == *\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* ]]
2025-08-26T20:21:52.8154767Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:52.8155378Z ++ awk -F '[:,]' '{print $2}'
2025-08-26T20:21:52.8179789Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:52.8180605Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:52.8181646Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:52.8204591Z ##[group]Run set +e
2025-08-26T20:21:52.8204812Z set +e
2025-08-26T20:21:52.8204979Z set -x
2025-08-26T20:21:52.8205138Z 
2025-08-26T20:21:52.8205286Z login() {
2025-08-26T20:21:52.8205644Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-26T20:21:52.8206011Z }
2025-08-26T20:21:52.8206175Z 
2025-08-26T20:21:52.8206321Z retry () {
2025-08-26T20:21:52.8206518Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-26T20:21:52.8206748Z }
2025-08-26T20:21:52.8206902Z 
2025-08-26T20:21:52.8207074Z retry login "${DOCKER_REGISTRY}"
2025-08-26T20:21:52.8207306Z 
2025-08-26T20:21:52.8207470Z START_TIME=$(date +%s)
2025-08-26T20:21:52.8207684Z # Wait up to 120 minutes
2025-08-26T20:21:52.8207950Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-08-26T20:21:52.8208297Z   # Check if image already exists, if it does then skip building it
2025-08-26T20:21:52.8208649Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-08-26T20:21:52.8208907Z     exit 0
2025-08-26T20:21:52.8209075Z   fi
2025-08-26T20:21:52.8209227Z 
2025-08-26T20:21:52.8209504Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-08-26T20:21:52.8209986Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-08-26T20:21:52.8210450Z   # latter, it will wait for the Docker images to become available before continuing
2025-08-26T20:21:52.8210827Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-08-26T20:21:52.8211120Z     # It's a Docker build job, let's build the image
2025-08-26T20:21:52.8211370Z     break
2025-08-26T20:21:52.8211539Z   else
2025-08-26T20:21:52.8211785Z     # It's a regular build job, wait for the image to become available
2025-08-26T20:21:52.8212075Z     sleep 300
2025-08-26T20:21:52.8212253Z   fi
2025-08-26T20:21:52.8212411Z done
2025-08-26T20:21:52.8212565Z 
2025-08-26T20:21:52.8212816Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-08-26T20:21:52.8213380Z # be empty.  The default action would be to continue rebuild the image
2025-08-26T20:21:52.8213758Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-08-26T20:21:52.8214088Z   # if we're on the base branch then use the parent commit
2025-08-26T20:21:52.8214479Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-08-26T20:21:52.8214698Z else
2025-08-26T20:21:52.8214934Z   # otherwise we're on a PR, so use the most recent base commit
2025-08-26T20:21:52.8215275Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-08-26T20:21:52.8215534Z fi
2025-08-26T20:21:52.8215693Z 
2025-08-26T20:21:52.8215871Z if [[ -z "${MERGE_BASE}" ]]; then
2025-08-26T20:21:52.8216126Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:21:52.8216359Z 
2025-08-26T20:21:52.8216681Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-08-26T20:21:52.8217073Z   exit 0
2025-08-26T20:21:52.8217236Z fi
2025-08-26T20:21:52.8217386Z 
2025-08-26T20:21:52.8217602Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-08-26T20:21:52.8218081Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-08-26T20:21:52.8218488Z   exit 1
2025-08-26T20:21:52.8218649Z fi
2025-08-26T20:21:52.8218795Z 
2025-08-26T20:21:52.8219064Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-08-26T20:21:52.8219522Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-08-26T20:21:52.8219937Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-08-26T20:21:52.8220408Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-08-26T20:21:52.8220939Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-08-26T20:21:52.8221259Z fi
2025-08-26T20:21:52.8221406Z 
2025-08-26T20:21:52.8221596Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:21:52.8228324Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:52.8228612Z env:
2025-08-26T20:21:52.8228774Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:52.8228977Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-26T20:21:52.8229233Z   BASE_REVISION: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:21:52.8229897Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:52.8230699Z   DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:52.8231189Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:21:52.8231479Z   DOCKER_PUSH: 
2025-08-26T20:21:52.8231650Z ##[endgroup]
2025-08-26T20:21:52.8257203Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:21:52.8257656Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:21:52.8259897Z + aws ecr get-login-password --region us-east-1
2025-08-26T20:21:52.8261057Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:21:53.2974574Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:21:53.2975652Z Configure a credential helper to remove this warning. See
2025-08-26T20:21:53.2976610Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:21:53.2977509Z 
2025-08-26T20:21:53.2977774Z Login Succeeded
2025-08-26T20:21:53.3000805Z ++ date +%s
2025-08-26T20:21:53.3012324Z + START_TIME=1756239713
2025-08-26T20:21:53.3015944Z ++ date +%s
2025-08-26T20:21:53.3027575Z + [[ 1756232513 -lt 1756239713 ]]
2025-08-26T20:21:53.3028433Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:53.5164271Z {
2025-08-26T20:21:53.5164653Z 	"schemaVersion": 2,
2025-08-26T20:21:53.5165087Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-08-26T20:21:53.5165492Z 	"config": {
2025-08-26T20:21:53.5165800Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-08-26T20:21:53.5166166Z 		"size": 30980,
2025-08-26T20:21:53.5166651Z 		"digest": "sha256:58831dbc74ac992b257d52d8094154520bb4d643c31a6600610c3f93a43e1370"
2025-08-26T20:21:53.5167060Z 	},
2025-08-26T20:21:53.5167228Z 	"layers": [
2025-08-26T20:21:53.5167413Z 		{
2025-08-26T20:21:53.5167710Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5168079Z 			"size": 30448173,
2025-08-26T20:21:53.5168473Z 			"digest": "sha256:660ffc76f83b006444a5731b215acc2e35138d8be5cac8ed1ffd40f947117495"
2025-08-26T20:21:53.5168886Z 		},
2025-08-26T20:21:53.5169056Z 		{
2025-08-26T20:21:53.5169347Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5169721Z 			"size": 1554,
2025-08-26T20:21:53.5170082Z 			"digest": "sha256:1886e94d171a1235c97705855bd007eb1825b089270b899c7c8682998d3273b1"
2025-08-26T20:21:53.5170488Z 		},
2025-08-26T20:21:53.5170660Z 		{
2025-08-26T20:21:53.5170946Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5171311Z 			"size": 314206719,
2025-08-26T20:21:53.5171686Z 			"digest": "sha256:b67e43ebb892222289d2a4faa66e62f87cb4a3455474e85ab843a5234fb3a236"
2025-08-26T20:21:53.5172012Z 		},
2025-08-26T20:21:53.5172142Z 		{
2025-08-26T20:21:53.5172369Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5172665Z 			"size": 791,
2025-08-26T20:21:53.5172949Z 			"digest": "sha256:bb24d058e7d75f29594ab76258aa622398f15626ab54d9145fdee1d803bc6a2b"
2025-08-26T20:21:53.5173268Z 		},
2025-08-26T20:21:53.5173407Z 		{
2025-08-26T20:21:53.5173635Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5173923Z 			"size": 106,
2025-08-26T20:21:53.5174216Z 			"digest": "sha256:cd65bb22a75c0d08b7afd5593c8ee47561bcaf192165bcb9c41eabc529e401a0"
2025-08-26T20:21:53.5174549Z 		},
2025-08-26T20:21:53.5174684Z 		{
2025-08-26T20:21:53.5174914Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5175241Z 			"size": 703,
2025-08-26T20:21:53.5175523Z 			"digest": "sha256:5a99dc4b9031da4e62c00465fe78378294240630f75e525803ca80f8d96dd9ea"
2025-08-26T20:21:53.5175838Z 		},
2025-08-26T20:21:53.5175971Z 		{
2025-08-26T20:21:53.5176185Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5176512Z 			"size": 1219,
2025-08-26T20:21:53.5176826Z 			"digest": "sha256:d80a8e2811a4344d7d877e438d3b7cbc738157038e4d21ed52d091a254bcfc5c"
2025-08-26T20:21:53.5177146Z 		},
2025-08-26T20:21:53.5177283Z 		{
2025-08-26T20:21:53.5177503Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5177791Z 			"size": 485,
2025-08-26T20:21:53.5178072Z 			"digest": "sha256:122a222fa3c98528f428abed1accfe7743340317d9474fe3c3f735704e5c7c68"
2025-08-26T20:21:53.5178394Z 		},
2025-08-26T20:21:53.5178522Z 		{
2025-08-26T20:21:53.5178746Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5179045Z 			"size": 110343909,
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2025-08-26T20:21:53.5247641Z 			"digest": "sha256:77fb94c39e3ad13ac5b0f4671d888089f2159903fb9702ce067b2c93031c75a0"
2025-08-26T20:21:53.5247970Z 		},
2025-08-26T20:21:53.5248107Z 		{
2025-08-26T20:21:53.5248332Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5248627Z 			"size": 135,
2025-08-26T20:21:53.5248918Z 			"digest": "sha256:3c9c01c9ab413cf790a4db63007d8875ea6494ad1d15f5809691b012f517c372"
2025-08-26T20:21:53.5249250Z 		},
2025-08-26T20:21:53.5249382Z 		{
2025-08-26T20:21:53.5249607Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5249896Z 			"size": 32,
2025-08-26T20:21:53.5250202Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:21:53.5250523Z 		},
2025-08-26T20:21:53.5250657Z 		{
2025-08-26T20:21:53.5250880Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5251172Z 			"size": 158,
2025-08-26T20:21:53.5251456Z 			"digest": "sha256:9bf9c3970039a4db085b867bb2ce5828775262027e1e773613a47f7206fea7fc"
2025-08-26T20:21:53.5251778Z 		},
2025-08-26T20:21:53.5251912Z 		{
2025-08-26T20:21:53.5252139Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5252418Z 			"size": 1369,
2025-08-26T20:21:53.5252720Z 			"digest": "sha256:d765cd01dba87ff9282c7a76d3e84dbab07e5b56316a97b8b2ac92a9cb09c226"
2025-08-26T20:21:53.5253060Z 		},
2025-08-26T20:21:53.5253196Z 		{
2025-08-26T20:21:53.5253421Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5253708Z 			"size": 32,
2025-08-26T20:21:53.5253996Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:21:53.5254326Z 		},
2025-08-26T20:21:53.5254455Z 		{
2025-08-26T20:21:53.5254675Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5254957Z 			"size": 136,
2025-08-26T20:21:53.5255244Z 			"digest": "sha256:a057fbda8fb57b6e4c9117720f1bcf303200e6c5f53bd6229fbd4b49c1dca750"
2025-08-26T20:21:53.5255568Z 		},
2025-08-26T20:21:53.5255699Z 		{
2025-08-26T20:21:53.5255917Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5256199Z 			"size": 381,
2025-08-26T20:21:53.5256480Z 			"digest": "sha256:56df4ae07ef64b4512bf8b8cba3dc5512912be9838c0658ac0e5c779de23c217"
2025-08-26T20:21:53.5256800Z 		},
2025-08-26T20:21:53.5256931Z 		{
2025-08-26T20:21:53.5257292Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5257594Z 			"size": 32,
2025-08-26T20:21:53.5257879Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:21:53.5258305Z 		},
2025-08-26T20:21:53.5258440Z 		{
2025-08-26T20:21:53.5258654Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5258935Z 			"size": 104,
2025-08-26T20:21:53.5259218Z 			"digest": "sha256:d34e5acbdc0e8e215fe885e0127f2e3697104a9dc623be75c8a5cfec9bb233a0"
2025-08-26T20:21:53.5259554Z 		},
2025-08-26T20:21:53.5259682Z 		{
2025-08-26T20:21:53.5259919Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5260214Z 			"size": 409,
2025-08-26T20:21:53.5260509Z 			"digest": "sha256:c9f82fea8d22b40247fc8003b9aaa50315cb3ac6458403c40dcf968b1be67fb0"
2025-08-26T20:21:53.5260833Z 		},
2025-08-26T20:21:53.5260973Z 		{
2025-08-26T20:21:53.5261204Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5261501Z 			"size": 32,
2025-08-26T20:21:53.5261784Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:21:53.5262114Z 		},
2025-08-26T20:21:53.5262251Z 		{
2025-08-26T20:21:53.5262477Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5262758Z 			"size": 109,
2025-08-26T20:21:53.5263042Z 			"digest": "sha256:0909dc53409e5b62bada22062013e67a39ead4d2c1926ed1c1fd9fd9388034d1"
2025-08-26T20:21:53.5263367Z 		},
2025-08-26T20:21:53.5263507Z 		{
2025-08-26T20:21:53.5263725Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5264014Z 			"size": 1897,
2025-08-26T20:21:53.5264319Z 			"digest": "sha256:afad8dd1ea3eb7d1ad87cd703d8f8ee6b976c25e43a8b750f4e9e6034f383c7c"
2025-08-26T20:21:53.5264658Z 		},
2025-08-26T20:21:53.5264787Z 		{
2025-08-26T20:21:53.5265010Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5265302Z 			"size": 242987518,
2025-08-26T20:21:53.5265610Z 			"digest": "sha256:f964dc10a8981ba4708afb10110fd51f7537f7bf340a1de2ba4e969a170c1aa7"
2025-08-26T20:21:53.5265928Z 		},
2025-08-26T20:21:53.5266062Z 		{
2025-08-26T20:21:53.5266289Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5266585Z 			"size": 106,
2025-08-26T20:21:53.5266873Z 			"digest": "sha256:02ef42026bfe325bbf0aa700c774b899ef4fe133f8d570b75cd7e0333bd784e6"
2025-08-26T20:21:53.5267193Z 		},
2025-08-26T20:21:53.5267321Z 		{
2025-08-26T20:21:53.5267540Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5267822Z 			"size": 164,
2025-08-26T20:21:53.5268094Z 			"digest": "sha256:539d63c8f20d536d9e25f7b362f734e1d7e28999029d6a4a572e731cb6907e36"
2025-08-26T20:21:53.5268411Z 		},
2025-08-26T20:21:53.5268546Z 		{
2025-08-26T20:21:53.5268772Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5269053Z 			"size": 7944,
2025-08-26T20:21:53.5269335Z 			"digest": "sha256:b432ff980518507147df4f94176f5e693b507e7dff2bcf0646cc7130e4112ea9"
2025-08-26T20:21:53.5269650Z 		},
2025-08-26T20:21:53.5269780Z 		{
2025-08-26T20:21:53.5269994Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5270279Z 			"size": 8072,
2025-08-26T20:21:53.5270562Z 			"digest": "sha256:82da7bb3ffbcc918d4b677f468c69bf3c095c826fd7c630a12076cdb92d08179"
2025-08-26T20:21:53.5270884Z 		},
2025-08-26T20:21:53.5271005Z 		{
2025-08-26T20:21:53.5271235Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5271512Z 			"size": 304,
2025-08-26T20:21:53.5271793Z 			"digest": "sha256:88de9388a01fbecfefcbab7602f8572f74b3d855e91976d20c702c9aa33fa3a9"
2025-08-26T20:21:53.5272113Z 		},
2025-08-26T20:21:53.5272243Z 		{
2025-08-26T20:21:53.5272467Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5272754Z 			"size": 13360901,
2025-08-26T20:21:53.5273120Z 			"digest": "sha256:ca846bf8a55c2df05bc5397101646c3de50fc0d89a91705961d62060efcbde0d"
2025-08-26T20:21:53.5273448Z 		},
2025-08-26T20:21:53.5273578Z 		{
2025-08-26T20:21:53.5273816Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5274184Z 			"size": 108,
2025-08-26T20:21:53.5274463Z 			"digest": "sha256:a7580a063e85fac80964d074372e67191a311957eadb43a420e74f0f5cecf388"
2025-08-26T20:21:53.5274781Z 		},
2025-08-26T20:21:53.5274914Z 		{
2025-08-26T20:21:53.5275132Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5275418Z 			"size": 54145653,
2025-08-26T20:21:53.5275714Z 			"digest": "sha256:c9bb59fd7563c3ba2820739f7bce477f8a67d3dfa4f064fcc5b228fa4476492b"
2025-08-26T20:21:53.5276117Z 		},
2025-08-26T20:21:53.5276243Z 		{
2025-08-26T20:21:53.5276466Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:21:53.5276747Z 			"size": 32,
2025-08-26T20:21:53.5277035Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:21:53.5277364Z 		}
2025-08-26T20:21:53.5277494Z 	]
2025-08-26T20:21:53.5277628Z }
2025-08-26T20:21:53.5277770Z + exit 0
2025-08-26T20:21:53.5303786Z ##[group]Run set -eux
2025-08-26T20:21:53.5304008Z set -eux
2025-08-26T20:21:53.5304301Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-08-26T20:21:53.5305099Z 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
2025-08-26T20:21:53.5313231Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:53.5313510Z env:
2025-08-26T20:21:53.5313673Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:53.5313859Z ##[endgroup]
2025-08-26T20:21:53.5343333Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-08-26T20:21:53.5344070Z + jq --raw-output .SecretString
2025-08-26T20:21:53.5345471Z + jq -r .docker_hub_readonly_token
2025-08-26T20:21:53.5346408Z + docker login --username pytorchbot --password-stdin
2025-08-26T20:21:54.0299192Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:21:54.0299783Z Configure a credential helper to remove this warning. See
2025-08-26T20:21:54.0300314Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:21:54.0300661Z 
2025-08-26T20:21:54.0300789Z Login Succeeded
2025-08-26T20:21:54.0390102Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-08-26T20:21:54.0390417Z tag=${ECR_DOCKER_IMAGE##*:}
2025-08-26T20:21:54.0390732Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-08-26T20:21:54.0398182Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:54.0398459Z env:
2025-08-26T20:21:54.0398626Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:54.0399235Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:54.0399846Z ##[endgroup]
2025-08-26T20:21:54.0428293Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:54.0479856Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-08-26T20:21:54.0480208Z with:
2025-08-26T20:21:54.0480769Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:54.0481436Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:21:54.0481714Z env:
2025-08-26T20:21:54.0481873Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:54.0482061Z ##[endgroup]
2025-08-26T20:21:54.0497913Z ##[group]Run set -x
2025-08-26T20:21:54.0498119Z set -x
2025-08-26T20:21:54.0498281Z set +e
2025-08-26T20:21:54.0498443Z 
2025-08-26T20:21:54.0498603Z login() {
2025-08-26T20:21:54.0498951Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-26T20:21:54.0499486Z }
2025-08-26T20:21:54.0499646Z 
2025-08-26T20:21:54.0499835Z retry () {
2025-08-26T20:21:54.0500024Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-26T20:21:54.0500247Z }
2025-08-26T20:21:54.0500400Z 
2025-08-26T20:21:54.0500571Z retry login "${DOCKER_REGISTRY}"
2025-08-26T20:21:54.0500780Z 
2025-08-26T20:21:54.0501120Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-08-26T20:21:54.0501588Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-08-26T20:21:54.0501867Z 
2025-08-26T20:21:54.0502017Z set -e
2025-08-26T20:21:54.0502264Z # ignore output since only exit code is used for conditional
2025-08-26T20:21:54.0502610Z # only pull docker image if it's not available locally
2025-08-26T20:21:54.0502993Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-08-26T20:21:54.0503356Z   retry docker pull "${DOCKER_IMAGE}"
2025-08-26T20:21:54.0503577Z fi
2025-08-26T20:21:54.0509880Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:54.0510151Z env:
2025-08-26T20:21:54.0510315Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:54.0510902Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:54.0511580Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:21:54.0511876Z ##[endgroup]
2025-08-26T20:21:54.0536162Z + set +e
2025-08-26T20:21:54.0536472Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:21:54.0536878Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:21:54.0539333Z + aws ecr get-login-password --region us-east-1
2025-08-26T20:21:54.0540560Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:21:54.5165955Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:21:54.5166535Z Configure a credential helper to remove this warning. See
2025-08-26T20:21:54.5167054Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:21:54.5167393Z 
2025-08-26T20:21:54.5168283Z Login Succeeded
2025-08-26T20:21:54.5192469Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:54.5193357Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-08-26T20:21:54.7167631Z + IMAGE_SIZE=15017.844016075134
2025-08-26T20:21:54.7168193Z + echo 'Compressed size of image in MB: 15017.844016075134'
2025-08-26T20:21:54.7168742Z + set -e
2025-08-26T20:21:54.7169693Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:54.7170877Z Compressed size of image in MB: 15017.844016075134
2025-08-26T20:21:54.7283963Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:54.7285263Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:54.9573005Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6: Pulling from pytorch/ci-image
2025-08-26T20:21:54.9573828Z 660ffc76f83b: Pulling fs layer
2025-08-26T20:21:54.9575278Z 1886e94d171a: Pulling fs layer
2025-08-26T20:21:54.9578076Z b67e43ebb892: Pulling fs layer
2025-08-26T20:21:54.9578543Z bb24d058e7d7: Pulling fs layer
2025-08-26T20:21:54.9578881Z cd65bb22a75c: Pulling fs layer
2025-08-26T20:21:54.9579205Z 5a99dc4b9031: Pulling fs layer
2025-08-26T20:21:54.9579826Z d80a8e2811a4: Pulling fs layer
2025-08-26T20:21:54.9580150Z 122a222fa3c9: Pulling fs layer
2025-08-26T20:21:54.9580426Z 479cfa5b1a66: Pulling fs layer
2025-08-26T20:21:54.9580629Z c5c0db0aadb3: Pulling fs layer
2025-08-26T20:21:54.9580834Z 5a2cf786e47e: Pulling fs layer
2025-08-26T20:21:54.9581033Z 77fb94c39e3a: Pulling fs layer
2025-08-26T20:21:54.9581222Z b01d3257ff75: Pulling fs layer
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2025-08-26T20:21:54.9588711Z 5b28b6df7c9d: Waiting
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2025-08-26T20:21:54.9594076Z 1c9089e86c8b: Waiting
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2025-08-26T20:21:54.9594578Z a057fbda8fb5: Pulling fs layer
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2025-08-26T20:21:54.9596491Z afad8dd1ea3e: Pulling fs layer
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2025-08-26T20:21:54.9596870Z d765cd01dba8: Waiting
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2025-08-26T20:21:55.0488213Z 1886e94d171a: Verifying Checksum
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2025-08-26T20:21:55.4866602Z c5c0db0aadb3: Download complete
2025-08-26T20:21:55.5573503Z 5a2cf786e47e: Verifying Checksum
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2025-08-26T20:21:56.5428659Z 479cfa5b1a66: Verifying Checksum
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2025-08-26T20:21:56.6979086Z e781996005d2: Download complete
2025-08-26T20:21:56.7680498Z 42914bb239b9: Download complete
2025-08-26T20:21:56.8618967Z 5b28b6df7c9d: Verifying Checksum
2025-08-26T20:21:56.8619497Z 5b28b6df7c9d: Download complete
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2025-08-26T20:21:57.1804595Z 0d709f66a775: Download complete
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2025-08-26T20:21:58.2563319Z 8f2a63de5bce: Download complete
2025-08-26T20:21:58.6302610Z a26d24a63c0d: Verifying Checksum
2025-08-26T20:21:58.6303082Z a26d24a63c0d: Download complete
2025-08-26T20:21:58.7007470Z f97ecb6a0b58: Verifying Checksum
2025-08-26T20:21:58.7007761Z f97ecb6a0b58: Download complete
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2025-08-26T20:22:03.3657145Z 64d91d4f3a57: Verifying Checksum
2025-08-26T20:22:03.3658668Z 64d91d4f3a57: Download complete
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2025-08-26T20:22:03.6619302Z af08306ea851: Verifying Checksum
2025-08-26T20:22:03.6619652Z af08306ea851: Download complete
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2025-08-26T20:22:04.1125505Z 9525150e2811: Download complete
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2025-08-26T20:22:04.1831919Z 74d3c03ad83a: Download complete
2025-08-26T20:22:04.2799641Z 6b8b80b65b19: Verifying Checksum
2025-08-26T20:22:04.2800010Z 6b8b80b65b19: Download complete
2025-08-26T20:22:04.3322287Z 1c9089e86c8b: Download complete
2025-08-26T20:22:04.4001273Z 5385fa2da678: Verifying Checksum
2025-08-26T20:22:04.4001642Z 5385fa2da678: Download complete
2025-08-26T20:22:05.1315575Z b67e43ebb892: Pull complete
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2025-08-26T20:22:07.2064303Z 7b35a6cabfea: Verifying Checksum
2025-08-26T20:22:07.2064684Z 7b35a6cabfea: Download complete
2025-08-26T20:22:07.3672179Z c5c0db0aadb3: Pull complete
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2025-08-26T20:22:28.1462810Z 1265afdb30aa: Verifying Checksum
2025-08-26T20:22:28.1463167Z 1265afdb30aa: Download complete
2025-08-26T20:22:28.2260747Z 17bb5c027c73: Verifying Checksum
2025-08-26T20:22:28.2261060Z 17bb5c027c73: Download complete
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2025-08-26T20:22:28.3122820Z facccc4ef145: Download complete
2025-08-26T20:22:28.3905374Z 3ef3276e60ae: Download complete
2025-08-26T20:22:28.4728420Z 50fcf2019ed6: Verifying Checksum
2025-08-26T20:22:28.4728903Z 50fcf2019ed6: Download complete
2025-08-26T20:22:28.5763620Z 5eb827f6cc6c: Verifying Checksum
2025-08-26T20:22:28.5763950Z 5eb827f6cc6c: Download complete
2025-08-26T20:22:28.6729604Z 3c9c01c9ab41: Verifying Checksum
2025-08-26T20:22:28.6730020Z 3c9c01c9ab41: Download complete
2025-08-26T20:22:28.7483488Z 9bf9c3970039: Verifying Checksum
2025-08-26T20:22:28.7483963Z 9bf9c3970039: Download complete
2025-08-26T20:22:28.8384207Z d765cd01dba8: Verifying Checksum
2025-08-26T20:22:28.8384605Z d765cd01dba8: Download complete
2025-08-26T20:22:28.9003241Z a057fbda8fb5: Verifying Checksum
2025-08-26T20:22:28.9003612Z a057fbda8fb5: Download complete
2025-08-26T20:22:28.9685759Z 56df4ae07ef6: Verifying Checksum
2025-08-26T20:22:28.9686156Z 56df4ae07ef6: Download complete
2025-08-26T20:22:29.0488797Z d34e5acbdc0e: Verifying Checksum
2025-08-26T20:22:29.0489282Z d34e5acbdc0e: Download complete
2025-08-26T20:22:29.1436507Z c9f82fea8d22: Download complete
2025-08-26T20:22:29.2264139Z 0909dc53409e: Download complete
2025-08-26T20:22:29.3651130Z afad8dd1ea3e: Verifying Checksum
2025-08-26T20:22:29.3651520Z afad8dd1ea3e: Download complete
2025-08-26T20:22:31.8541032Z f964dc10a898: Verifying Checksum
2025-08-26T20:22:31.8541340Z f964dc10a898: Download complete
2025-08-26T20:22:31.9226553Z 02ef42026bfe: Verifying Checksum
2025-08-26T20:22:31.9227054Z 02ef42026bfe: Download complete
2025-08-26T20:22:32.0230348Z 539d63c8f20d: Download complete
2025-08-26T20:22:32.0875338Z b432ff980518: Verifying Checksum
2025-08-26T20:22:32.0876041Z b432ff980518: Download complete
2025-08-26T20:22:32.1637977Z 82da7bb3ffbc: Verifying Checksum
2025-08-26T20:22:32.1638436Z 82da7bb3ffbc: Download complete
2025-08-26T20:22:32.2451007Z 88de9388a01f: Download complete
2025-08-26T20:22:32.4444767Z ca846bf8a55c: Download complete
2025-08-26T20:22:32.5416109Z a7580a063e85: Verifying Checksum
2025-08-26T20:22:32.5416577Z a7580a063e85: Download complete
2025-08-26T20:22:33.1204858Z c9bb59fd7563: Verifying Checksum
2025-08-26T20:22:33.1205303Z c9bb59fd7563: Download complete
2025-08-26T20:22:38.1948041Z 0c519215543c: Verifying Checksum
2025-08-26T20:22:38.1948588Z 0c519215543c: Download complete
2025-08-26T20:23:17.3387104Z 2ea41b7608ab: Verifying Checksum
2025-08-26T20:23:17.3389055Z 2ea41b7608ab: Download complete
2025-08-26T20:23:50.4134541Z 1265afdb30aa: Pull complete
2025-08-26T20:23:50.5232791Z 4f4fb700ef54: Pull complete
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2025-08-26T20:26:28.2447481Z 539d63c8f20d: Pull complete
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2025-08-26T20:26:30.2299918Z ca846bf8a55c: Pull complete
2025-08-26T20:26:30.4344503Z a7580a063e85: Pull complete
2025-08-26T20:26:31.6221978Z c9bb59fd7563: Pull complete
2025-08-26T20:26:31.9170691Z Digest: sha256:15ab42f58480117f0df9dc7154a36918844249ea780984fb625c72fb117d274f
2025-08-26T20:26:31.9577222Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:26:31.9810017Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:26:31.9866916Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:26:31.9867669Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:26:31.9879659Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:31.9879968Z env:
2025-08-26T20:26:31.9880131Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:31.9880327Z ##[endgroup]
2025-08-26T20:26:32.0010794Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-08-26T20:26:32.0011123Z with:
2025-08-26T20:26:32.0011293Z   driver-version: 570.133.07
2025-08-26T20:26:32.0011487Z env:
2025-08-26T20:26:32.0011650Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:32.0011848Z ##[endgroup]
2025-08-26T20:26:32.0145047Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2025-08-26T20:26:32.0145363Z with:
2025-08-26T20:26:32.0145521Z   timeout_minutes: 10
2025-08-26T20:26:32.0145715Z   max_attempts: 3
2025-08-26T20:26:32.0164817Z   command: # Is it disgusting to have a full shell script here in this github action? Sure
# But is it the best way to make it so that this action relies on nothing else? Absolutely
set -eou pipefail

DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID)
DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run"

install_nvidia_docker2_amzn2() {
    (
        set -x
        # Needed for yum-config-manager
        sudo yum install -y yum-utils
        if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then
          YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo"
        else
          # Amazon Linux 2
          YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo"
        fi

        sudo yum-config-manager --add-repo "${YUM_REPO_URL}"
        sudo yum install -y \
          nvidia-container-toolkit-1.17.8 \
          libnvidia-container-tools-1.17.8 \
          libnvidia-container1-1.17.8 \
          nvidia-container-toolkit-base-1.17.8
        sudo systemctl restart docker
    )
}

install_nvidia_docker2_ubuntu20() {
    (
        set -x
        # Install nvidia-driver package if not installed
        status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)"
        if [ ! $? = 0 ] || [ ! "$status" = installed ]; then
          sudo apt-get install -y nvidia-container-toolkit-1.17.8
          sudo systemctl restart docker
        fi
    )
}

pre_install_nvidia_driver_amzn2() {
    (
        # Purge any nvidia driver installed from RHEL repo
        sudo yum remove -y nvidia-driver-latest-dkms
    )
}

install_nvidia_driver_common() {
    (
        # Try to gather more information about the runner and its existing NVIDIA driver if any
        echo "Before installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        HAS_NVIDIA_DRIVER=0
        # Check if NVIDIA driver has already been installed
        if [ -x "$(command -v nvidia-smi)" ]; then
            set +e
            # The driver exists, check its version next. Also check only the first GPU if there are more than one of them
            # so that the same driver version is not print over multiple lines
            INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
            NVIDIA_SMI_STATUS=$?

            if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing"
            elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing"

                # Turn off persistent mode so that the installation script can unload the kernel module
                sudo killall nvidia-persistenced || true
            else
                HAS_NVIDIA_DRIVER=1
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation"
            fi
            set -e
        fi

        if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then
            # CAUTION: this may need to be updated in future
            if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then
                  sudo yum groupinstall -y "Development Tools"
                  # ensure our kernel install is the same as our underlying kernel,
                  # groupinstall "Development Tools" has a habit of mismatching kernel headers
                  sudo yum install -y "kernel-devel-uname-r == $(uname -r)"
                  sudo modprobe backlight
            fi
            sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN"

            set +e
            sudo /bin/bash /tmp/nvidia_driver -s --no-drm
            NVIDIA_INSTALLATION_STATUS=$?

            RESET_GPU=0
            if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then
                sudo cat /var/log/nvidia-installer.log
                # Fail to install NVIDIA driver, try to reset the GPU
                RESET_GPU=1
            elif [ -x "$(command -v nvidia-smi)" ]; then
                # Check again if nvidia-smi works even if the driver installation completes successfully
                INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
                NVIDIA_SMI_STATUS=$?

                if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                    RESET_GPU=1
                fi
            fi

            if [ "$RESET_GPU" -eq 1 ]; then
                NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1)
                # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this
                # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388
                for PCI_ID in $NVIDIA_DEVICES; do
                    DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable)

                    echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)"
                    # This requires sudo permission of course
                    echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset
                    sleep 1
                done
            fi

            sudo rm -fv /tmp/nvidia_driver
            set -e
        fi
    )
}

post_install_nvidia_driver_common() {
    (
        sudo modprobe nvidia || true
        echo "After installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        (
            set +e

            nvidia-smi
            # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in
            # the case where the driver has already crashed as it still can get the driver version
            # and some basic information like the bus ID.  However, the rest of the information
            # would be missing (ERR!), for example:
            #
            # +-----------------------------------------------------------------------------+
            # | NVIDIA-SMI 525.89.02    Driver Version: 525.89.02    CUDA Version: 12.0     |
            # |-------------------------------+----------------------+----------------------+
            # | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
            # | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
            # |                               |                      |               MIG M. |
            # |===============================+======================+======================|
            # |   0  ERR!                Off  | 00000000:00:1E.0 Off |                 ERR! |
            # |ERR!  ERR! ERR!    ERR! / ERR! |   4184MiB / 23028MiB |    ERR!      Default |
            # |                               |                      |                 ERR! |
            # +-------------------------------+----------------------+----------------------+
            #
            # +-----------------------------------------------------------------------------+
            # | Processes:                                                                  |
            # |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
            # |        ID   ID                                                   Usage      |
            # |=============================================================================|
            # +-----------------------------------------------------------------------------+
            #
            # This should be reported as a failure instead as it will guarantee to fail when
            # Docker tries to run with --gpus all
            #
            # So, the correct check here is to query one of the missing piece of info like
            # GPU name, so that the command can fail accordingly
            nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
            NVIDIA_SMI_STATUS=$?

            # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285
            if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then
                echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}"
            else
                echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}"
                exit ${NVIDIA_SMI_STATUS}
            fi
            set -e
        )
    )
}

install_nvidia_driver_amzn2() {
    (
        set -x
        pre_install_nvidia_driver_amzn2
        install_nvidia_driver_common
        post_install_nvidia_driver_common
    )
}

install_nvidia_driver_ubuntu20() {
    (
        set -x
        install_nvidia_driver_common
        post_install_nvidia_driver_common
    )
}

echo "== Installing nvidia driver ${DRIVER_FN} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_driver_amzn2
        ;;
    ubuntu20.04)
        install_nvidia_driver_ubuntu20
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac

# Install container toolkit based on distribution
echo "== Installing nvidia container toolkit for ${DISTRIBUTION} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_docker2_amzn2
        ;;
    ubuntu20.04)
        install_nvidia_docker2_ubuntu20
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac
echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"

# Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with
# more than one GPUs. This just needs to be run once. The command fails
# on subsequent runs and complains that the mode is already on, but that's
# ok
sudo nvidia-persistenced || true
# This should show persistence mode ON
nvidia-smi

# check if the container-toolkit is correctly installed and CUDA is available inside a container
docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi

2025-08-26T20:26:32.0184446Z   retry_wait_seconds: 10
2025-08-26T20:26:32.0184656Z   polling_interval_seconds: 1
2025-08-26T20:26:32.0184868Z   warning_on_retry: true
2025-08-26T20:26:32.0185052Z   continue_on_error: false
2025-08-26T20:26:32.0185251Z env:
2025-08-26T20:26:32.0185408Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:32.0185606Z   DRIVER_VERSION: 570.133.07
2025-08-26T20:26:32.0185805Z ##[endgroup]
2025-08-26T20:26:32.1251883Z == Installing nvidia driver NVIDIA-Linux-x86_64-570.133.07.run ==
2025-08-26T20:26:32.1253355Z + pre_install_nvidia_driver_amzn2
2025-08-26T20:26:32.1254619Z + sudo yum remove -y nvidia-driver-latest-dkms
2025-08-26T20:26:32.6852972Z No match for argument: nvidia-driver-latest-dkms
2025-08-26T20:26:32.6853817Z No packages marked for removal.
2025-08-26T20:26:32.6906357Z Dependencies resolved.
2025-08-26T20:26:32.6915010Z Nothing to do.
2025-08-26T20:26:32.6915948Z Complete!
2025-08-26T20:26:32.7644631Z + install_nvidia_driver_common
2025-08-26T20:26:32.7647954Z + echo 'Before installing NVIDIA driver'
2025-08-26T20:26:32.7649179Z Before installing NVIDIA driver
2025-08-26T20:26:32.7651060Z + lspci
2025-08-26T20:26:32.8469538Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-08-26T20:26:32.8470050Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-08-26T20:26:32.8470606Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-08-26T20:26:32.8471366Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-08-26T20:26:32.8471850Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-08-26T20:26:32.8472262Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8472600Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8472927Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8473230Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8473468Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8473711Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8473956Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8474208Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8474454Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8474695Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8474947Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8475196Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8475438Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8475776Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8476029Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8476273Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8476515Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8476755Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8477030Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8477275Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8477518Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8477758Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8478001Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8478436Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8478694Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8478955Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8479196Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8479442Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8479689Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8479932Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8480170Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8480415Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8480661Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8480906Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8481168Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8481418Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8481672Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8481925Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8482165Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8482422Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8482669Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8482920Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8483161Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8483408Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8483655Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8483976Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-08-26T20:26:32.8484317Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8484573Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8484823Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8485155Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-08-26T20:26:32.8485569Z 34:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:32.8485857Z 35:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1)
2025-08-26T20:26:32.8486117Z + lsmod
2025-08-26T20:26:32.8513638Z Module                  Size  Used by
2025-08-26T20:26:32.8514134Z xt_conntrack           16384  1
2025-08-26T20:26:32.8514568Z nft_chain_nat          16384  3
2025-08-26T20:26:32.8514979Z xt_MASQUERADE          20480  1
2025-08-26T20:26:32.8515488Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-08-26T20:26:32.8516158Z nf_conntrack_netlink    57344  0
2025-08-26T20:26:32.8516835Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-08-26T20:26:32.8517414Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-08-26T20:26:32.8517726Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-08-26T20:26:32.8528558Z xfrm_user              57344  1
2025-08-26T20:26:32.8528812Z xfrm_algo              16384  1 xfrm_user
2025-08-26T20:26:32.8529054Z xt_addrtype            16384  2
2025-08-26T20:26:32.8529263Z nft_compat             20480  4
2025-08-26T20:26:32.8529511Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-08-26T20:26:32.8529842Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-08-26T20:26:32.8530125Z br_netfilter           36864  0
2025-08-26T20:26:32.8530342Z bridge                323584  1 br_netfilter
2025-08-26T20:26:32.8530569Z stp                    16384  1 bridge
2025-08-26T20:26:32.8530793Z llc                    16384  2 bridge,stp
2025-08-26T20:26:32.8531001Z overlay               167936  0
2025-08-26T20:26:32.8531190Z tls                   139264  0
2025-08-26T20:26:32.8531368Z nls_ascii              16384  1
2025-08-26T20:26:32.8531547Z nls_cp437              20480  1
2025-08-26T20:26:32.8531716Z vfat                   24576  1
2025-08-26T20:26:32.8531914Z fat                    86016  1 vfat
2025-08-26T20:26:32.8532241Z sunrpc                700416  1
2025-08-26T20:26:32.8532444Z i8042                  45056  0
2025-08-26T20:26:32.8532627Z serio                  28672  3 i8042
2025-08-26T20:26:32.8532849Z ena                   180224  0
2025-08-26T20:26:32.8533045Z ghash_clmulni_intel    16384  0
2025-08-26T20:26:32.8533246Z button                 24576  0
2025-08-26T20:26:32.8533429Z sch_fq_codel           20480  9
2025-08-26T20:26:32.8533613Z dm_mod                188416  0
2025-08-26T20:26:32.8533794Z fuse                  184320  1
2025-08-26T20:26:32.8533975Z loop                   36864  0
2025-08-26T20:26:32.8534152Z configfs               57344  1
2025-08-26T20:26:32.8534340Z dmi_sysfs              20480  0
2025-08-26T20:26:32.8534530Z crc32_pclmul           16384  0
2025-08-26T20:26:32.8534717Z crc32c_intel           24576  0
2025-08-26T20:26:32.8534895Z efivarfs               24576  1
2025-08-26T20:26:32.8535079Z + modinfo nvidia
2025-08-26T20:26:32.8535417Z filename:       /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-08-26T20:26:32.8535763Z import_ns:      DMA_BUF
2025-08-26T20:26:32.8535953Z alias:          char-major-195-*
2025-08-26T20:26:32.8536151Z version:        570.133.07
2025-08-26T20:26:32.8536341Z supported:      external
2025-08-26T20:26:32.8536535Z license:        Dual MIT/GPL
2025-08-26T20:26:32.8536760Z firmware:       nvidia/570.133.07/gsp_tu10x.bin
2025-08-26T20:26:32.8537011Z firmware:       nvidia/570.133.07/gsp_ga10x.bin
2025-08-26T20:26:32.8537253Z srcversion:     49515739FD8F721A3F2F714
2025-08-26T20:26:32.8537510Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-08-26T20:26:32.8537786Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-08-26T20:26:32.8538031Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-08-26T20:26:32.8538281Z depends:        i2c-core,drm
2025-08-26T20:26:32.8538475Z retpoline:      Y
2025-08-26T20:26:32.8538636Z name:           nvidia
2025-08-26T20:26:32.8538918Z vermagic:       6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-08-26T20:26:32.8539365Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-08-26T20:26:32.8539707Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-08-26T20:26:32.8540027Z parm:           NVreg_ResmanDebugLevel:int
2025-08-26T20:26:32.8540270Z parm:           NVreg_RmLogonRC:int
2025-08-26T20:26:32.8540508Z parm:           NVreg_ModifyDeviceFiles:int
2025-08-26T20:26:32.8540740Z parm:           NVreg_DeviceFileUID:int
2025-08-26T20:26:32.8540967Z parm:           NVreg_DeviceFileGID:int
2025-08-26T20:26:32.8541195Z parm:           NVreg_DeviceFileMode:int
2025-08-26T20:26:32.8541467Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-08-26T20:26:32.8541752Z parm:           NVreg_UsePageAttributeTable:int
2025-08-26T20:26:32.8541999Z parm:           NVreg_EnablePCIeGen3:int
2025-08-26T20:26:32.8542218Z parm:           NVreg_EnableMSI:int
2025-08-26T20:26:32.8542443Z parm:           NVreg_EnableStreamMemOPs:int
2025-08-26T20:26:32.8542726Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-08-26T20:26:32.8543461Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-08-26T20:26:32.8543759Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-08-26T20:26:32.8544073Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-08-26T20:26:32.8544379Z parm:           NVreg_DynamicPowerManagement:int
2025-08-26T20:26:32.8544689Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-08-26T20:26:32.8545009Z parm:           NVreg_EnableGpuFirmware:int
2025-08-26T20:26:32.8545263Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-08-26T20:26:32.8545551Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-08-26T20:26:32.8545830Z parm:           NVreg_EnableUserNUMAManagement:int
2025-08-26T20:26:32.8546085Z parm:           NVreg_MemoryPoolSize:int
2025-08-26T20:26:32.8546337Z parm:           NVreg_KMallocHeapMaxSize:int
2025-08-26T20:26:32.8546752Z parm:           NVreg_VMallocHeapMaxSize:int
2025-08-26T20:26:32.8546993Z parm:           NVreg_IgnoreMMIOCheck:int
2025-08-26T20:26:32.8547229Z parm:           NVreg_NvLinkDisable:int
2025-08-26T20:26:32.8547502Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-08-26T20:26:32.8547770Z parm:           NVreg_RegisterPCIDriver:int
2025-08-26T20:26:32.8548012Z parm:           NVreg_EnableResizableBar:int
2025-08-26T20:26:32.8548267Z parm:           NVreg_EnableDbgBreakpoint:int
2025-08-26T20:26:32.8548526Z parm:           NVreg_EnableNonblockingOpen:int
2025-08-26T20:26:32.8548779Z parm:           NVreg_RegistryDwords:charp
2025-08-26T20:26:32.8549028Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-08-26T20:26:32.8549279Z parm:           NVreg_RmMsg:charp
2025-08-26T20:26:32.8549493Z parm:           NVreg_GpuBlacklist:charp
2025-08-26T20:26:32.8549733Z parm:           NVreg_TemporaryFilePath:charp
2025-08-26T20:26:32.8549978Z parm:           NVreg_ExcludedGpus:charp
2025-08-26T20:26:32.8550219Z parm:           NVreg_DmaRemapPeerMmio:int
2025-08-26T20:26:32.8550470Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-08-26T20:26:32.8550738Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-08-26T20:26:32.8550998Z parm:           NVreg_ImexChannelCount:int
2025-08-26T20:26:32.8551239Z parm:           NVreg_CreateImexChannel0:int
2025-08-26T20:26:32.8551492Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-08-26T20:26:32.8551746Z parm:           rm_firmware_active:charp
2025-08-26T20:26:32.8551965Z + HAS_NVIDIA_DRIVER=0
2025-08-26T20:26:32.8552151Z ++ command -v nvidia-smi
2025-08-26T20:26:32.8552353Z + '[' -x /usr/bin/nvidia-smi ']'
2025-08-26T20:26:32.8552550Z + set +e
2025-08-26T20:26:32.8552797Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2025-08-26T20:26:34.4622021Z + INSTALLED_DRIVER_VERSION=570.133.07
2025-08-26T20:26:34.4622336Z + NVIDIA_SMI_STATUS=0
2025-08-26T20:26:34.4623114Z + '[' 0 -ne 0 ']'
2025-08-26T20:26:34.4623326Z + '[' 570.133.07 '!=' 570.133.07 ']'
2025-08-26T20:26:34.4623526Z + HAS_NVIDIA_DRIVER=1
2025-08-26T20:26:34.4624135Z + echo 'NVIDIA driver (570.133.07) has already been installed. Skipping NVIDIA driver installation'
2025-08-26T20:26:34.4624531Z + set -e
2025-08-26T20:26:34.4624690Z + '[' 1 -eq 0 ']'
2025-08-26T20:26:34.4625002Z NVIDIA driver (570.133.07) has already been installed. Skipping NVIDIA driver installation
2025-08-26T20:26:34.4625357Z + post_install_nvidia_driver_common
2025-08-26T20:26:34.4628242Z + sudo modprobe nvidia
2025-08-26T20:26:34.6277506Z + echo 'After installing NVIDIA driver'
2025-08-26T20:26:34.6277837Z + lspci
2025-08-26T20:26:34.6278064Z After installing NVIDIA driver
2025-08-26T20:26:34.6449709Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-08-26T20:26:34.6450270Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-08-26T20:26:34.6450808Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-08-26T20:26:34.6451351Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-08-26T20:26:34.6451831Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-08-26T20:26:34.6452265Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6452604Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6452936Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6453261Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6453559Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6453816Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6454068Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6454321Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6454571Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6454812Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6455059Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6455548Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6455803Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6456048Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6456297Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6456547Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6456794Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6457035Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6457277Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6457520Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6457765Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6458009Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6458251Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6458497Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6458747Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6459000Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6459245Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6459492Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6459738Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6459981Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6460236Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6460485Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6460730Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6460978Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6461221Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6461469Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6461715Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6462008Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6462406Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6462656Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6462902Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6463157Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6463411Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6463651Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6463896Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6464222Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-08-26T20:26:34.6464557Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6464811Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6465070Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6465402Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-08-26T20:26:34.6465746Z 34:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-08-26T20:26:34.6466033Z 35:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1)
2025-08-26T20:26:34.6466301Z + lsmod
2025-08-26T20:26:34.6488301Z Module                  Size  Used by
2025-08-26T20:26:34.6488640Z nvidia_uvm           1884160  0
2025-08-26T20:26:34.6488913Z nvidia              11583488  1 nvidia_uvm
2025-08-26T20:26:34.6489185Z drm                   602112  1 nvidia
2025-08-26T20:26:34.6489494Z drm_panel_orientation_quirks    32768  1 drm
2025-08-26T20:26:34.6489794Z backlight              24576  1 drm
2025-08-26T20:26:34.6490065Z i2c_core              110592  2 nvidia,drm
2025-08-26T20:26:34.6490331Z xt_conntrack           16384  1
2025-08-26T20:26:34.6490572Z nft_chain_nat          16384  3
2025-08-26T20:26:34.6490810Z xt_MASQUERADE          20480  1
2025-08-26T20:26:34.6491086Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-08-26T20:26:34.6491531Z nf_conntrack_netlink    57344  0
2025-08-26T20:26:34.6491912Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-08-26T20:26:34.6492337Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-08-26T20:26:34.6492631Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-08-26T20:26:34.6492901Z xfrm_user              57344  1
2025-08-26T20:26:34.6493142Z xfrm_algo              16384  1 xfrm_user
2025-08-26T20:26:34.6493411Z xt_addrtype            16384  2
2025-08-26T20:26:34.6493630Z nft_compat             20480  4
2025-08-26T20:26:34.6493858Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-08-26T20:26:34.6494168Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-08-26T20:26:34.6494462Z br_netfilter           36864  0
2025-08-26T20:26:34.6494673Z bridge                323584  1 br_netfilter
2025-08-26T20:26:34.6494903Z stp                    16384  1 bridge
2025-08-26T20:26:34.6495130Z llc                    16384  2 bridge,stp
2025-08-26T20:26:34.6495345Z overlay               167936  0
2025-08-26T20:26:34.6495533Z tls                   139264  0
2025-08-26T20:26:34.6495715Z nls_ascii              16384  1
2025-08-26T20:26:34.6495904Z nls_cp437              20480  1
2025-08-26T20:26:34.6496083Z vfat                   24576  1
2025-08-26T20:26:34.6496271Z fat                    86016  1 vfat
2025-08-26T20:26:34.6496474Z sunrpc                700416  1
2025-08-26T20:26:34.6496657Z i8042                  45056  0
2025-08-26T20:26:34.6496840Z serio                  28672  3 i8042
2025-08-26T20:26:34.6497046Z ena                   180224  0
2025-08-26T20:26:34.6497241Z ghash_clmulni_intel    16384  0
2025-08-26T20:26:34.6497439Z button                 24576  0
2025-08-26T20:26:34.6497617Z sch_fq_codel           20480  9
2025-08-26T20:26:34.6497802Z dm_mod                188416  0
2025-08-26T20:26:34.6497978Z fuse                  184320  1
2025-08-26T20:26:34.6498158Z loop                   36864  0
2025-08-26T20:26:34.6498340Z configfs               57344  1
2025-08-26T20:26:34.6498523Z dmi_sysfs              20480  0
2025-08-26T20:26:34.6498802Z crc32_pclmul           16384  0
2025-08-26T20:26:34.6498994Z crc32c_intel           24576  0
2025-08-26T20:26:34.6499174Z efivarfs               24576  1
2025-08-26T20:26:34.6499364Z + modinfo nvidia
2025-08-26T20:26:34.6507184Z filename:       /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-08-26T20:26:34.6507624Z import_ns:      DMA_BUF
2025-08-26T20:26:34.6507865Z alias:          char-major-195-*
2025-08-26T20:26:34.6508113Z version:        570.133.07
2025-08-26T20:26:34.6508351Z supported:      external
2025-08-26T20:26:34.6508586Z license:        Dual MIT/GPL
2025-08-26T20:26:34.6508853Z firmware:       nvidia/570.133.07/gsp_tu10x.bin
2025-08-26T20:26:34.6509175Z firmware:       nvidia/570.133.07/gsp_ga10x.bin
2025-08-26T20:26:34.6509485Z srcversion:     49515739FD8F721A3F2F714
2025-08-26T20:26:34.6509794Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-08-26T20:26:34.6510121Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-08-26T20:26:34.6510425Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-08-26T20:26:34.6510711Z depends:        i2c-core,drm
2025-08-26T20:26:34.6510947Z retpoline:      Y
2025-08-26T20:26:34.6511154Z name:           nvidia
2025-08-26T20:26:34.6511496Z vermagic:       6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-08-26T20:26:34.6511947Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-08-26T20:26:34.6512368Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-08-26T20:26:34.6512760Z parm:           NVreg_ResmanDebugLevel:int
2025-08-26T20:26:34.6513043Z parm:           NVreg_RmLogonRC:int
2025-08-26T20:26:34.6513321Z parm:           NVreg_ModifyDeviceFiles:int
2025-08-26T20:26:34.6513600Z parm:           NVreg_DeviceFileUID:int
2025-08-26T20:26:34.6513827Z parm:           NVreg_DeviceFileGID:int
2025-08-26T20:26:34.6514057Z parm:           NVreg_DeviceFileMode:int
2025-08-26T20:26:34.6514429Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-08-26T20:26:34.6514727Z parm:           NVreg_UsePageAttributeTable:int
2025-08-26T20:26:34.6514990Z parm:           NVreg_EnablePCIeGen3:int
2025-08-26T20:26:34.6515222Z parm:           NVreg_EnableMSI:int
2025-08-26T20:26:34.6515449Z parm:           NVreg_EnableStreamMemOPs:int
2025-08-26T20:26:34.6515835Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-08-26T20:26:34.6516140Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-08-26T20:26:34.6516426Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-08-26T20:26:34.6516726Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-08-26T20:26:34.6517035Z parm:           NVreg_DynamicPowerManagement:int
2025-08-26T20:26:34.6517347Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-08-26T20:26:34.6517656Z parm:           NVreg_EnableGpuFirmware:int
2025-08-26T20:26:34.6517908Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-08-26T20:26:34.6518190Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-08-26T20:26:34.6518479Z parm:           NVreg_EnableUserNUMAManagement:int
2025-08-26T20:26:34.6518732Z parm:           NVreg_MemoryPoolSize:int
2025-08-26T20:26:34.6518971Z parm:           NVreg_KMallocHeapMaxSize:int
2025-08-26T20:26:34.6519208Z parm:           NVreg_VMallocHeapMaxSize:int
2025-08-26T20:26:34.6519447Z parm:           NVreg_IgnoreMMIOCheck:int
2025-08-26T20:26:34.6519676Z parm:           NVreg_NvLinkDisable:int
2025-08-26T20:26:34.6519929Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-08-26T20:26:34.6520190Z parm:           NVreg_RegisterPCIDriver:int
2025-08-26T20:26:34.6520429Z parm:           NVreg_EnableResizableBar:int
2025-08-26T20:26:34.6520691Z parm:           NVreg_EnableDbgBreakpoint:int
2025-08-26T20:26:34.6520957Z parm:           NVreg_EnableNonblockingOpen:int
2025-08-26T20:26:34.6521203Z parm:           NVreg_RegistryDwords:charp
2025-08-26T20:26:34.6521462Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-08-26T20:26:34.6521794Z parm:           NVreg_RmMsg:charp
2025-08-26T20:26:34.6522020Z parm:           NVreg_GpuBlacklist:charp
2025-08-26T20:26:34.6522253Z parm:           NVreg_TemporaryFilePath:charp
2025-08-26T20:26:34.6522493Z parm:           NVreg_ExcludedGpus:charp
2025-08-26T20:26:34.6522730Z parm:           NVreg_DmaRemapPeerMmio:int
2025-08-26T20:26:34.6522976Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-08-26T20:26:34.6523235Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-08-26T20:26:34.6523515Z parm:           NVreg_ImexChannelCount:int
2025-08-26T20:26:34.6523753Z parm:           NVreg_CreateImexChannel0:int
2025-08-26T20:26:34.6524010Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-08-26T20:26:34.6524254Z parm:           rm_firmware_active:charp
2025-08-26T20:26:34.6524466Z + set +e
2025-08-26T20:26:34.6524611Z + nvidia-smi
2025-08-26T20:26:36.0469527Z Tue Aug 26 20:26:36 2025       
2025-08-26T20:26:36.0470365Z +-----------------------------------------------------------------------------------------+
2025-08-26T20:26:36.0471309Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-08-26T20:26:36.0472218Z |-----------------------------------------+------------------------+----------------------+
2025-08-26T20:26:36.0473365Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-08-26T20:26:36.0474824Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-08-26T20:26:36.0475316Z |                                         |                        |               MIG M. |
2025-08-26T20:26:36.0475766Z |=========================================+========================+======================|
2025-08-26T20:26:36.0524274Z |   0  NVIDIA L4                      Off |   00000000:35:00.0 Off |                    0 |
2025-08-26T20:26:36.0524752Z | N/A   40C    P0             29W /   72W |       0MiB /  23034MiB |      3%      Default |
2025-08-26T20:26:36.0525382Z |                                         |                        |                  N/A |
2025-08-26T20:26:36.0525952Z +-----------------------------------------+------------------------+----------------------+
2025-08-26T20:26:36.0526360Z                                                                                          
2025-08-26T20:26:36.0526727Z +-----------------------------------------------------------------------------------------+
2025-08-26T20:26:36.0527126Z | Processes:                                                                              |
2025-08-26T20:26:36.0527551Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-08-26T20:26:36.0527959Z |        ID   ID                                                               Usage      |
2025-08-26T20:26:36.0528408Z |=========================================================================================|
2025-08-26T20:26:36.0528970Z |  No running processes found                                                             |
2025-08-26T20:26:36.0529504Z +-----------------------------------------------------------------------------------------+
2025-08-26T20:26:36.3573597Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2025-08-26T20:26:37.7485280Z NVIDIA L4
2025-08-26T20:26:37.9264420Z + NVIDIA_SMI_STATUS=0
2025-08-26T20:26:37.9264727Z + '[' 0 -eq 0 ']'
2025-08-26T20:26:37.9264981Z + echo 'INFO: Ignoring allowed status 0'
2025-08-26T20:26:37.9265260Z + set -e
2025-08-26T20:26:37.9265471Z INFO: Ignoring allowed status 0
2025-08-26T20:26:37.9272183Z == Installing nvidia container toolkit for amzn2023 ==
2025-08-26T20:26:37.9276148Z + sudo yum install -y yum-utils
2025-08-26T20:26:38.2933703Z Last metadata expiration check: 0:07:36 ago on Tue Aug 26 20:19:02 2025.
2025-08-26T20:26:38.3129188Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed.
2025-08-26T20:26:38.3474787Z Dependencies resolved.
2025-08-26T20:26:38.3654860Z Nothing to do.
2025-08-26T20:26:38.3655376Z Complete!
2025-08-26T20:26:38.5329047Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]]
2025-08-26T20:26:38.5329598Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-08-26T20:26:38.5330297Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-08-26T20:26:38.8240648Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-08-26T20:26:38.8693591Z + sudo yum install -y nvidia-container-toolkit-1.17.8 libnvidia-container-tools-1.17.8 libnvidia-container1-1.17.8 nvidia-container-toolkit-base-1.17.8
2025-08-26T20:26:39.3494695Z nvidia-container-toolkit                         22 kB/s | 833  B     00:00    
2025-08-26T20:26:39.3694281Z Package nvidia-container-toolkit-1.17.8-1.x86_64 is already installed.
2025-08-26T20:26:39.3698557Z Package libnvidia-container-tools-1.17.8-1.x86_64 is already installed.
2025-08-26T20:26:39.3701715Z Package libnvidia-container1-1.17.8-1.x86_64 is already installed.
2025-08-26T20:26:39.3707156Z Package nvidia-container-toolkit-base-1.17.8-1.x86_64 is already installed.
2025-08-26T20:26:39.4056519Z Dependencies resolved.
2025-08-26T20:26:39.4236559Z Nothing to do.
2025-08-26T20:26:39.4237458Z Complete!
2025-08-26T20:26:39.4624445Z + sudo systemctl restart docker
2025-08-26T20:27:35.0424697Z Tue Aug 26 20:27:35 2025       
2025-08-26T20:27:35.0425143Z +-----------------------------------------------------------------------------------------+
2025-08-26T20:27:35.0425664Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-08-26T20:27:35.0426156Z |-----------------------------------------+------------------------+----------------------+
2025-08-26T20:27:35.0426657Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-08-26T20:27:35.0427645Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-08-26T20:27:35.0428105Z |                                         |                        |               MIG M. |
2025-08-26T20:27:35.0428436Z |=========================================+========================+======================|
2025-08-26T20:27:35.0494908Z |   0  NVIDIA L4                      On  |   00000000:35:00.0 Off |                    0 |
2025-08-26T20:27:35.0495306Z | N/A   39C    P0             28W /   72W |       0MiB /  23034MiB |      4%      Default |
2025-08-26T20:27:35.0495705Z |                                         |                        |                  N/A |
2025-08-26T20:27:35.0496092Z +-----------------------------------------+------------------------+----------------------+
2025-08-26T20:27:35.0496474Z                                                                                          
2025-08-26T20:27:35.0496850Z +-----------------------------------------------------------------------------------------+
2025-08-26T20:27:35.0497291Z | Processes:                                                                              |
2025-08-26T20:27:35.0497717Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-08-26T20:27:35.0498102Z |        ID   ID                                                               Usage      |
2025-08-26T20:27:35.0498423Z |=========================================================================================|
2025-08-26T20:27:35.0499138Z |  No running processes found                                                             |
2025-08-26T20:27:35.0499588Z +-----------------------------------------------------------------------------------------+
2025-08-26T20:27:35.1960625Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally
2025-08-26T20:27:35.4713723Z 3.13: Pulling from docker/library/python
2025-08-26T20:27:35.5725983Z 80b7316254b3: Pulling fs layer
2025-08-26T20:27:35.5726310Z 36e4db86de6e: Pulling fs layer
2025-08-26T20:27:35.5726528Z 8ea45766c644: Pulling fs layer
2025-08-26T20:27:35.5727018Z 3cb1455cf185: Pulling fs layer
2025-08-26T20:27:35.5727264Z d622b1dca92a: Pulling fs layer
2025-08-26T20:27:35.5727577Z ad72fce423fc: Pulling fs layer
2025-08-26T20:27:35.5727778Z b9f8f98927f6: Pulling fs layer
2025-08-26T20:27:35.5728002Z 3cb1455cf185: Waiting
2025-08-26T20:27:35.5728183Z d622b1dca92a: Waiting
2025-08-26T20:27:35.5728354Z ad72fce423fc: Waiting
2025-08-26T20:27:35.5728521Z b9f8f98927f6: Waiting
2025-08-26T20:27:35.6681276Z 36e4db86de6e: Verifying Checksum
2025-08-26T20:27:35.6681843Z 36e4db86de6e: Download complete
2025-08-26T20:27:35.8781212Z 8ea45766c644: Verifying Checksum
2025-08-26T20:27:35.8781585Z 8ea45766c644: Download complete
2025-08-26T20:27:35.8957597Z 80b7316254b3: Verifying Checksum
2025-08-26T20:27:35.8957883Z 80b7316254b3: Download complete
2025-08-26T20:27:35.9726612Z d622b1dca92a: Verifying Checksum
2025-08-26T20:27:35.9727039Z d622b1dca92a: Download complete
2025-08-26T20:27:36.0793178Z b9f8f98927f6: Verifying Checksum
2025-08-26T20:27:36.0793673Z b9f8f98927f6: Download complete
2025-08-26T20:27:36.0822730Z ad72fce423fc: Verifying Checksum
2025-08-26T20:27:36.0822999Z ad72fce423fc: Download complete
2025-08-26T20:27:37.3425617Z 80b7316254b3: Pull complete
2025-08-26T20:27:37.4874774Z 3cb1455cf185: Verifying Checksum
2025-08-26T20:27:37.4875221Z 3cb1455cf185: Download complete
2025-08-26T20:27:39.9847724Z 36e4db86de6e: Pull complete
2025-08-26T20:27:41.7393144Z 8ea45766c644: Pull complete
2025-08-26T20:27:46.4950595Z 3cb1455cf185: Pull complete
2025-08-26T20:27:46.7110539Z d622b1dca92a: Pull complete
2025-08-26T20:27:47.2537830Z ad72fce423fc: Pull complete
2025-08-26T20:27:47.2771548Z b9f8f98927f6: Pull complete
2025-08-26T20:27:47.2908208Z Digest: sha256:18634e45b29c0dd1a9a3a3d0781f9f8a221fe32ee7a853db01e9120c710ef535
2025-08-26T20:27:47.2950800Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13
2025-08-26T20:27:55.2340240Z Tue Aug 26 20:27:55 2025       
2025-08-26T20:27:55.2340999Z +-----------------------------------------------------------------------------------------+
2025-08-26T20:27:55.2341503Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-08-26T20:27:55.2341985Z |-----------------------------------------+------------------------+----------------------+
2025-08-26T20:27:55.2342471Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-08-26T20:27:55.2343208Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-08-26T20:27:55.2343554Z |                                         |                        |               MIG M. |
2025-08-26T20:27:55.2343805Z |=========================================+========================+======================|
2025-08-26T20:27:55.2445129Z |   0  NVIDIA L4                      On  |   00000000:35:00.0 Off |                    0 |
2025-08-26T20:27:55.2445558Z | N/A   38C    P8             11W /   72W |       0MiB /  23034MiB |      0%      Default |
2025-08-26T20:27:55.2445953Z |                                         |                        |                  N/A |
2025-08-26T20:27:55.2446317Z +-----------------------------------------+------------------------+----------------------+
2025-08-26T20:27:55.2448368Z                                                                                          
2025-08-26T20:27:55.2448757Z +-----------------------------------------------------------------------------------------+
2025-08-26T20:27:55.2449150Z | Processes:                                                                              |
2025-08-26T20:27:55.2449549Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-08-26T20:27:55.2449914Z |        ID   ID                                                               Usage      |
2025-08-26T20:27:55.2450223Z |=========================================================================================|
2025-08-26T20:27:55.2453510Z |  No running processes found                                                             |
2025-08-26T20:27:55.2453897Z +-----------------------------------------------------------------------------------------+
2025-08-26T20:27:56.1679631Z Command completed after 1 attempt(s).
2025-08-26T20:27:56.1764665Z Prepare all required actions
2025-08-26T20:27:56.1788332Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-08-26T20:27:56.1788585Z with:
2025-08-26T20:27:56.1789144Z   github-token: ***
2025-08-26T20:27:56.1789333Z env:
2025-08-26T20:27:56.1789493Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:27:56.1789741Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:27:56.1789995Z ##[endgroup]
2025-08-26T20:27:56.1817314Z ##[group]Run set -eux
2025-08-26T20:27:56.1817519Z set -eux
2025-08-26T20:27:56.1817840Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-26T20:27:56.1829655Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:27:56.1829944Z env:
2025-08-26T20:27:56.1830106Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:27:56.1830352Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:27:56.1830725Z   GITHUB_TOKEN: ***
2025-08-26T20:27:56.1830901Z ##[endgroup]
2025-08-26T20:27:56.1867083Z + python3 .github/scripts/get_workflow_job_id.py 17248463647 i-08b62a2473888d64c
2025-08-26T20:27:57.2617125Z Setting output job-id=48947455375
2025-08-26T20:27:57.2617761Z Setting output job-name=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-26T20:27:57.2754967Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-26T20:27:57.2755610Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-26T20:27:57.2756419Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-08-26T20:27:57.2757227Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:27:57.2764511Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:27:57.2764786Z env:
2025-08-26T20:27:57.2764949Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:27:57.2765198Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:27:57.2765461Z   JOB_ID: 48947455375
2025-08-26T20:27:57.2765844Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-26T20:27:57.2766287Z   WORKFLOW_NAME: trunk
2025-08-26T20:27:57.2766473Z   WORKFLOW_RUN_ID: 17248463647
2025-08-26T20:27:57.2766674Z   MONITOR_LOG_INTERVAL: 5
2025-08-26T20:27:57.2766872Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-08-26T20:27:57.2767080Z ##[endgroup]
2025-08-26T20:27:57.5454392Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T20:27:57.8649888Z Collecting psutil==5.9.8
2025-08-26T20:27:57.8807134Z   Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB)
2025-08-26T20:27:57.9465935Z Collecting dataclasses_json==0.6.7
2025-08-26T20:27:57.9497934Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-08-26T20:27:57.9763072Z Collecting nvidia-ml-py==11.525.84
2025-08-26T20:27:57.9799779Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-08-26T20:27:58.0099388Z Collecting typing-inspect<1,>=0.4.0
2025-08-26T20:27:58.0128793Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-08-26T20:27:58.1123679Z Collecting marshmallow<4.0.0,>=3.18.0
2025-08-26T20:27:58.1151838Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-08-26T20:27:58.1700093Z Collecting packaging>=17.0
2025-08-26T20:27:58.1727388Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-08-26T20:27:58.1944609Z Collecting mypy-extensions>=0.3.0
2025-08-26T20:27:58.1975291Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-08-26T20:27:58.2418123Z Collecting typing-extensions>=3.7.4
2025-08-26T20:27:58.2447074Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-08-26T20:27:58.3357996Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-08-26T20:27:58.5855537Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0
2025-08-26T20:27:58.7407492Z Prepare all required actions
2025-08-26T20:27:58.7407839Z Getting action download info
2025-08-26T20:27:58.8832124Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-08-26T20:27:59.1364323Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-08-26T20:27:59.5040325Z ##[group]Run ./.github/actions/download-build-artifacts
2025-08-26T20:27:59.5040598Z with:
2025-08-26T20:27:59.5040792Z   name: linux-jammy-cuda12.8-py3.10-gcc11
2025-08-26T20:27:59.5041038Z   s3-bucket: gha-artifacts
2025-08-26T20:27:59.5041233Z env:
2025-08-26T20:27:59.5041393Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:27:59.5041636Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:27:59.5041895Z ##[endgroup]
2025-08-26T20:27:59.5076278Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-26T20:27:59.5076529Z with:
2025-08-26T20:27:59.5076742Z   name: linux-jammy-cuda12.8-py3.10-gcc11
2025-08-26T20:27:59.5076991Z   s3-bucket: gha-artifacts
2025-08-26T20:27:59.5077192Z   region: us-east-1
2025-08-26T20:27:59.5077355Z env:
2025-08-26T20:27:59.5077512Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:27:59.5077745Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:27:59.5078011Z ##[endgroup]
2025-08-26T20:27:59.9270981Z (node:63779) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-26T20:27:59.9271788Z 
2025-08-26T20:27:59.9271971Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-26T20:27:59.9272462Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-26T20:27:59.9272990Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-26T20:28:00.2215090Z Found 1 objects with prefix pytorch/pytorch/17248463647/linux-jammy-cuda12.8-py3.10-gcc11/
2025-08-26T20:28:00.2215821Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-26T20:28:08.7935029Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-26T20:28:08.7941536Z Artifact download has finished successfully
2025-08-26T20:28:08.8194047Z ##[group]Run unzip -o artifacts.zip
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2025-08-26T20:28:08.8203740Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:08.8204004Z ##[endgroup]
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2025-08-26T20:28:17.9607044Z   inflating: build/bin/c10_exception_test  
2025-08-26T20:28:17.9655492Z   inflating: build/bin/c10_generic_math_test  
2025-08-26T20:28:17.9706576Z   inflating: build/bin/c10_lazy_test  
2025-08-26T20:28:17.9755379Z   inflating: build/bin/c10_irange_test  
2025-08-26T20:28:17.9904874Z   inflating: build/bin/c10_intrusive_ptr_test  
2025-08-26T20:28:17.9959237Z   inflating: build/bin/c10_logging_test  
2025-08-26T20:28:18.0029642Z   inflating: build/bin/c10_optional_test  
2025-08-26T20:28:18.0080643Z   inflating: build/bin/c10_registry_test  
2025-08-26T20:28:18.0139114Z   inflating: build/bin/c10_ordered_preserving_dict_test  
2025-08-26T20:28:18.0280371Z   inflating: build/bin/c10_small_vector_test  
2025-08-26T20:28:18.0334109Z   inflating: build/bin/c10_string_util_test  
2025-08-26T20:28:18.0381717Z   inflating: build/bin/c10_string_view_test  
2025-08-26T20:28:18.0431044Z   inflating: build/bin/c10_ssize_test  
2025-08-26T20:28:18.0479689Z   inflating: build/bin/c10_tempfile_test  
2025-08-26T20:28:18.0521314Z   inflating: build/bin/c10_intrusive_ptr_benchmark  
2025-08-26T20:28:18.0575110Z   inflating: build/bin/c10_typeid_test  
2025-08-26T20:28:18.0625474Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_1_var_test  
2025-08-26T20:28:18.0676396Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_catches_stream  
2025-08-26T20:28:18.0727185Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_catches_thread_and_block_and_device  
2025-08-26T20:28:18.0777536Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_blocks_and_threads  
2025-08-26T20:28:18.0827238Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_from_2_processes  
2025-08-26T20:28:18.0874779Z   inflating: build/bin/c10_cuda_CUDATest  
2025-08-26T20:28:18.0925719Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_multiple_blocks  
2025-08-26T20:28:18.0976042Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_same_block  
2025-08-26T20:28:18.1497789Z   inflating: build/bin/vec_test_all_types_DEFAULT  
2025-08-26T20:28:18.2034860Z   inflating: build/bin/vec_test_all_types_AVX512  
2025-08-26T20:28:18.2577831Z   inflating: build/bin/vec_test_all_types_AVX2  
2025-08-26T20:28:18.2647362Z   inflating: build/bin/Dict_test     
2025-08-26T20:28:18.2697625Z   inflating: build/bin/Dimname_test  
2025-08-26T20:28:18.2759260Z   inflating: build/bin/MaybeOwned_test  
2025-08-26T20:28:18.2813267Z   inflating: build/bin/NamedTensor_test  
2025-08-26T20:28:18.2869061Z   inflating: build/bin/apply_utils_test  
2025-08-26T20:28:18.2925130Z   inflating: build/bin/atest         
2025-08-26T20:28:18.2985734Z   inflating: build/bin/basic         
2025-08-26T20:28:18.3038495Z   inflating: build/bin/broadcast_test  
2025-08-26T20:28:18.3087469Z   inflating: build/bin/cpu_allocator_test  
2025-08-26T20:28:18.3142660Z   inflating: build/bin/cpu_generator_test  
2025-08-26T20:28:18.3193564Z   inflating: build/bin/cpu_profiling_allocator_test  
2025-08-26T20:28:18.3279206Z   inflating: build/bin/cpu_rng_test  
2025-08-26T20:28:18.3328175Z   inflating: build/bin/dlconvertor_test  
2025-08-26T20:28:18.3382929Z   inflating: build/bin/extension_backend_test  
2025-08-26T20:28:18.3436225Z   inflating: build/bin/half_test     
2025-08-26T20:28:18.3525665Z   inflating: build/bin/ivalue_test   
2025-08-26T20:28:18.3574302Z   inflating: build/bin/lazy_tensor_test  
2025-08-26T20:28:18.3625427Z   inflating: build/bin/math_kernel_test  
2025-08-26T20:28:18.3677212Z   inflating: build/bin/memory_format_test  
2025-08-26T20:28:18.3728481Z   inflating: build/bin/memory_overlapping_test  
2025-08-26T20:28:18.3779646Z   inflating: build/bin/mobile_memory_cleanup  
2025-08-26T20:28:18.3833123Z   inflating: build/bin/native_test   
2025-08-26T20:28:18.3882191Z   inflating: build/bin/operator_name_test  
2025-08-26T20:28:18.3930762Z   inflating: build/bin/operators_test  
2025-08-26T20:28:18.3980977Z   inflating: build/bin/packedtensoraccessor_test  
2025-08-26T20:28:18.4044440Z   inflating: build/bin/pow_test      
2025-08-26T20:28:18.4098953Z   inflating: build/bin/quantized_test  
2025-08-26T20:28:18.4147379Z   inflating: build/bin/reduce_ops_test  
2025-08-26T20:28:18.4196692Z   inflating: build/bin/reportMemoryUsage_test  
2025-08-26T20:28:18.4250820Z   inflating: build/bin/scalar_tensor_test  
2025-08-26T20:28:18.4306605Z   inflating: build/bin/scalar_test   
2025-08-26T20:28:18.4356333Z   inflating: build/bin/StorageUtils_test  
2025-08-26T20:28:18.4406307Z   inflating: build/bin/stride_properties_test  
2025-08-26T20:28:18.4480199Z   inflating: build/bin/tensor_iterator_test  
2025-08-26T20:28:18.4532306Z   inflating: build/bin/test_parallel  
2025-08-26T20:28:18.4580771Z   inflating: build/bin/thread_init_test  
2025-08-26T20:28:18.4633574Z   inflating: build/bin/type_ptr_test  
2025-08-26T20:28:18.4690344Z   inflating: build/bin/type_test     
2025-08-26T20:28:18.4740406Z   inflating: build/bin/undefined_tensor_test  
2025-08-26T20:28:18.4788289Z   inflating: build/bin/verify_api_visibility  
2025-08-26T20:28:18.4854269Z   inflating: build/bin/legacy_vmap_test  
2025-08-26T20:28:18.4903277Z   inflating: build/bin/weakref_test  
2025-08-26T20:28:18.4952763Z   inflating: build/bin/wrapdim_test  
2025-08-26T20:28:18.5002139Z   inflating: build/bin/xla_tensor_test  
2025-08-26T20:28:18.5059027Z   inflating: build/bin/IListRef_test  
2025-08-26T20:28:18.5156811Z   inflating: build/bin/List_test     
2025-08-26T20:28:18.5219207Z   inflating: build/bin/KernelFunction_test  
2025-08-26T20:28:18.5329519Z   inflating: build/bin/kernel_function_legacy_test  
2025-08-26T20:28:18.5417532Z   inflating: build/bin/kernel_function_test  
2025-08-26T20:28:18.5532961Z   inflating: build/bin/kernel_lambda_legacy_test  
2025-08-26T20:28:18.5626781Z   inflating: build/bin/kernel_lambda_test  
2025-08-26T20:28:18.5684532Z   inflating: build/bin/kernel_stackbased_test  
2025-08-26T20:28:18.5772287Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-08-26T20:28:18.5821314Z   inflating: build/bin/CppSignature_test  
2025-08-26T20:28:18.5874232Z   inflating: build/bin/backend_fallback_test  
2025-08-26T20:28:18.5921793Z   inflating: build/bin/op_allowlist_test  
2025-08-26T20:28:18.6200498Z   inflating: build/bin/op_registration_test  
2025-08-26T20:28:18.6263798Z   inflating: build/bin/inline_container_test  
2025-08-26T20:28:18.6313189Z   inflating: build/bin/cuda_allocator_test  
2025-08-26T20:28:18.6364057Z   inflating: build/bin/cuda_apply_test  
2025-08-26T20:28:18.6421755Z   inflating: build/bin/cuda_atomic_ops_test  
2025-08-26T20:28:18.6475587Z   inflating: build/bin/cuda_caching_host_allocator_test  
2025-08-26T20:28:18.6542336Z   inflating: build/bin/cuda_complex_math_test  
2025-08-26T20:28:18.6599182Z   inflating: build/bin/cuda_complex_test  
2025-08-26T20:28:18.6659992Z   inflating: build/bin/cuda_cub_test  
2025-08-26T20:28:18.6707652Z   inflating: build/bin/cuda_device_test  
2025-08-26T20:28:18.6778079Z   inflating: build/bin/cuda_distributions_test  
2025-08-26T20:28:18.6825721Z   inflating: build/bin/cuda_exchange_device_test  
2025-08-26T20:28:18.6875476Z   inflating: build/bin/cuda_dlconvertor_test  
2025-08-26T20:28:18.6925977Z   inflating: build/bin/cuda_reportMemoryUsage_test  
2025-08-26T20:28:18.6974173Z   inflating: build/bin/cuda_allocatorTraceTracker_test  
2025-08-26T20:28:18.7023533Z   inflating: build/bin/cuda_integer_divider_test  
2025-08-26T20:28:18.7081830Z   inflating: build/bin/cuda_stream_test  
2025-08-26T20:28:18.7129647Z   inflating: build/bin/cuda_cudnn_test  
2025-08-26T20:28:18.7177929Z   inflating: build/bin/cuda_half_test  
2025-08-26T20:28:18.7225681Z   inflating: build/bin/cuda_optional_test  
2025-08-26T20:28:18.7280354Z   inflating: build/bin/cuda_generator_test  
2025-08-26T20:28:18.7330353Z   inflating: build/bin/cuda_packedtensoraccessor_test  
2025-08-26T20:28:18.7381056Z   inflating: build/bin/cuda_vectorized_test  
2025-08-26T20:28:18.8353683Z   inflating: build/bin/test_jit      
2025-08-26T20:28:18.8404048Z   inflating: build/bin/BackoffTest   
2025-08-26T20:28:18.8455365Z   inflating: build/bin/FileStoreTest  
2025-08-26T20:28:18.8509506Z   inflating: build/bin/TCPStoreTest  
2025-08-26T20:28:18.8838434Z   inflating: build/bin/test_nativert  
2025-08-26T20:28:18.8890145Z   inflating: build/bin/HashStoreTest  
2025-08-26T20:28:18.8902478Z   inflating: build/bin/ProcessGroupMPITest  
2025-08-26T20:28:18.8905261Z   inflating: build/bin/example_allreduce  
2025-08-26T20:28:18.8957850Z   inflating: build/bin/test_dist_autograd  
2025-08-26T20:28:18.9021705Z   inflating: build/bin/test_cpp_rpc  
2025-08-26T20:28:18.9084387Z   inflating: build/bin/ProcessGroupGlooTest  
2025-08-26T20:28:18.9138592Z   inflating: build/bin/ProcessGroupGlooAsyncTest  
2025-08-26T20:28:18.9199012Z   inflating: build/bin/ProcessGroupNCCLTest  
2025-08-26T20:28:18.9257108Z   inflating: build/bin/ProcessGroupNCCLErrorsTest  
2025-08-26T20:28:19.0273917Z   inflating: build/bin/test_api      
2025-08-26T20:28:19.0276390Z   inflating: build/bin/parallel_benchmark  
2025-08-26T20:28:19.0583837Z   inflating: build/bin/test_lazy     
2025-08-26T20:28:19.0587417Z   inflating: build/bin/torch_shm_manager  
2025-08-26T20:28:19.0587935Z    creating: .additional_ci_files/
2025-08-26T20:28:19.0657464Z   inflating: .additional_ci_files/test-times.json  
2025-08-26T20:28:19.0920645Z   inflating: .additional_ci_files/test-class-times.json  
2025-08-26T20:28:19.0960879Z ##[group]Run rm artifacts.zip
2025-08-26T20:28:19.0961167Z rm artifacts.zip
2025-08-26T20:28:19.0969351Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:28:19.0969634Z env:
2025-08-26T20:28:19.0969800Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:28:19.0970068Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:19.0970332Z ##[endgroup]
2025-08-26T20:28:19.1877278Z ##[group]Run df -H
2025-08-26T20:28:19.1877496Z df -H
2025-08-26T20:28:19.1884065Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:28:19.1884338Z env:
2025-08-26T20:28:19.1884500Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:28:19.1884755Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:19.1885012Z ##[endgroup]
2025-08-26T20:28:19.1932852Z Filesystem        Size  Used Avail Use% Mounted on
2025-08-26T20:28:19.1933338Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-08-26T20:28:19.1933672Z tmpfs              33G     0   33G   0% /dev/shm
2025-08-26T20:28:19.1933923Z tmpfs              13G  771k   13G   1% /run
2025-08-26T20:28:19.1934150Z /dev/nvme0n1p1    161G   53G  109G  33% /
2025-08-26T20:28:19.1934387Z tmpfs              33G   13k   33G   1% /tmp
2025-08-26T20:28:19.1934634Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-08-26T20:28:19.1934892Z tmpfs             6.5G     0  6.5G   0% /run/user/0
2025-08-26T20:28:19.1962165Z Prepare all required actions
2025-08-26T20:28:19.1962748Z Getting action download info
2025-08-26T20:28:19.3379749Z ##[group]Run ./.github/actions/download-td-artifacts
2025-08-26T20:28:19.3380009Z with:
2025-08-26T20:28:19.3380168Z env:
2025-08-26T20:28:19.3380327Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:28:19.3380570Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:19.3380838Z ##[endgroup]
2025-08-26T20:28:19.3414776Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-26T20:28:19.3415024Z with:
2025-08-26T20:28:19.3415173Z   name: td_results
2025-08-26T20:28:19.3415352Z   s3-bucket: gha-artifacts
2025-08-26T20:28:19.3415548Z   region: us-east-1
2025-08-26T20:28:19.3415710Z env:
2025-08-26T20:28:19.3415872Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:28:19.3416118Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:19.3416378Z ##[endgroup]
2025-08-26T20:28:19.7163913Z (node:63803) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-26T20:28:19.7164408Z 
2025-08-26T20:28:19.7164603Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-26T20:28:19.7165088Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-26T20:28:19.7165613Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-26T20:28:19.8127010Z Found 1 objects with prefix pytorch/pytorch/17248463647/td_results/
2025-08-26T20:28:19.8127677Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-08-26T20:28:19.8691490Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-08-26T20:28:19.8696527Z Artifact download has finished successfully
2025-08-26T20:28:19.8937105Z ##[group]Run mkdir -p .additional_ci_files
2025-08-26T20:28:19.8937397Z mkdir -p .additional_ci_files
2025-08-26T20:28:19.8937725Z mv td_results.json .additional_ci_files/td_results.json || true
2025-08-26T20:28:19.8946560Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:28:19.8946843Z env:
2025-08-26T20:28:19.8947009Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:28:19.8947265Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:19.8947526Z ##[endgroup]
2025-08-26T20:28:19.9039469Z ##[group]Run .github/scripts/parse_ref.py
2025-08-26T20:28:19.9039785Z .github/scripts/parse_ref.py
2025-08-26T20:28:19.9046627Z shell: /usr/bin/bash -e {0}
2025-08-26T20:28:19.9046837Z env:
2025-08-26T20:28:19.9046992Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:28:19.9047258Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:19.9047520Z ##[endgroup]
2025-08-26T20:28:19.9256044Z Setting output branch=main
2025-08-26T20:28:19.9363614Z Prepare all required actions
2025-08-26T20:28:19.9363959Z Getting action download info
2025-08-26T20:28:20.0377606Z ##[group]Run ./.github/actions/filter-test-configs
2025-08-26T20:28:20.0377872Z with:
2025-08-26T20:28:20.0378206Z   github-token: ***
2025-08-26T20:28:20.0380462Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}
2025-08-26T20:28:20.0382915Z   job-name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-26T20:28:20.0383325Z env:
2025-08-26T20:28:20.0383488Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:28:20.0383744Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:20.0384005Z ##[endgroup]
2025-08-26T20:28:20.0423078Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T20:28:20.0423475Z with:
2025-08-26T20:28:20.0423628Z   shell: bash
2025-08-26T20:28:20.0423793Z   timeout_minutes: 10
2025-08-26T20:28:20.0423971Z   max_attempts: 5
2025-08-26T20:28:20.0424138Z   retry_wait_seconds: 30
2025-08-26T20:28:20.0424701Z   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

2025-08-26T20:28:20.0425279Z   polling_interval_seconds: 1
2025-08-26T20:28:20.0425491Z   warning_on_retry: true
2025-08-26T20:28:20.0425677Z   continue_on_error: false
2025-08-26T20:28:20.0425865Z env:
2025-08-26T20:28:20.0426016Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:28:20.0426256Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:20.0426635Z   GITHUB_TOKEN: ***
2025-08-26T20:28:20.0426810Z ##[endgroup]
2025-08-26T20:28:20.1331872Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-08-26T20:28:20.3461136Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T20:28:20.4498167Z Collecting requests==2.27.1
2025-08-26T20:28:20.4659579Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-08-26T20:28:20.6119542Z Collecting pyyaml==6.0.2
2025-08-26T20:28:20.6154529Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-08-26T20:28:20.6772683Z Collecting certifi>=2017.4.17
2025-08-26T20:28:20.6805247Z   Downloading certifi-2025.8.3-py3-none-any.whl (161 kB)
2025-08-26T20:28:21.0116079Z Collecting charset-normalizer~=2.0.0
2025-08-26T20:28:21.0155845Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-08-26T20:28:21.0213511Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-08-26T20:28:21.0217087Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-08-26T20:28:21.0956889Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-08-26T20:28:21.2108068Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-08-26T20:28:22.1105331Z Command completed after 1 attempt(s).
2025-08-26T20:28:22.1175871Z ##[group]Run set -x
2025-08-26T20:28:22.1176175Z set -x
2025-08-26T20:28:22.1176551Z 
2025-08-26T20:28:22.1176850Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-26T20:28:22.1177187Z # in runner workspace
2025-08-26T20:28:22.1177470Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-08-26T20:28:22.1184943Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:28:22.1185221Z env:
2025-08-26T20:28:22.1185378Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:28:22.1185618Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:22.1185875Z ##[endgroup]
2025-08-26T20:28:22.1212647Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-08-26T20:28:22.1374514Z Setting output branch=main
2025-08-26T20:28:22.1429265Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-26T20:28:22.1429565Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-26T20:28:22.1429824Z echo "Job name: ${JOB_NAME}"
2025-08-26T20:28:22.1430041Z 
2025-08-26T20:28:22.1430317Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-26T20:28:22.1430661Z # in runner workspace
2025-08-26T20:28:22.1430975Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-08-26T20:28:22.1431338Z   --workflow "${GITHUB_WORKFLOW}" \
2025-08-26T20:28:22.1431591Z   --job-name "${JOB_NAME}" \
2025-08-26T20:28:22.1433894Z   --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}" \
2025-08-26T20:28:22.1436481Z   --selected-test-configs "" \
2025-08-26T20:28:22.1436728Z   --pr-number "${PR_NUMBER}" \
2025-08-26T20:28:22.1436958Z   --tag "${TAG}" \
2025-08-26T20:28:22.1437181Z   --event-name "${EVENT_NAME}" \
2025-08-26T20:28:22.1437407Z   --schedule "${SCHEDULE}" \
2025-08-26T20:28:22.1437632Z   --branch "${HEAD_BRANCH}"
2025-08-26T20:28:22.1444505Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:28:22.1444804Z env:
2025-08-26T20:28:22.1444961Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:28:22.1445222Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:22.1445760Z   GITHUB_TOKEN: ***
2025-08-26T20:28:22.1446165Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-26T20:28:22.1446584Z   PR_NUMBER: 
2025-08-26T20:28:22.1446786Z   TAG: 
2025-08-26T20:28:22.1446937Z   EVENT_NAME: push
2025-08-26T20:28:22.1447102Z   SCHEDULE: 
2025-08-26T20:28:22.1447259Z   HEAD_BRANCH: main
2025-08-26T20:28:22.1447423Z ##[endgroup]
2025-08-26T20:28:22.1474102Z Workflow: trunk
2025-08-26T20:28:22.1474618Z Job name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-26T20:28:22.3139991Z Setting output keep-going=True
2025-08-26T20:28:22.3140449Z Setting output ci-verbose-test-logs=False
2025-08-26T20:28:22.3140779Z Setting output ci-test-showlocals=False
2025-08-26T20:28:22.3141377Z Setting output ci-no-test-timeout=False
2025-08-26T20:28:22.3141690Z Setting output ci-no-td=False
2025-08-26T20:28:22.3141982Z Setting output ci-td-distributed=False
2025-08-26T20:28:22.3142289Z Setting output is-unstable=False
2025-08-26T20:28:22.3142577Z Setting output reenabled-issues=
2025-08-26T20:28:22.3145737Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}
2025-08-26T20:28:22.3148712Z Setting output is-test-matrix-empty=False
2025-08-26T20:28:22.3254853Z ##[group]Run echo "Filtered matrix:"
2025-08-26T20:28:22.3255114Z echo "Filtered matrix:"
2025-08-26T20:28:22.3257375Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.g4dn.12xlarge.nvidia.gpu"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu"}]}"
2025-08-26T20:28:22.3259809Z 
2025-08-26T20:28:22.3259964Z echo
2025-08-26T20:28:22.3260159Z echo "Is the current job unstable? False"
2025-08-26T20:28:22.3260413Z 
2025-08-26T20:28:22.3260563Z echo
2025-08-26T20:28:22.3260753Z echo "Is keep-going label set? True"
2025-08-26T20:28:22.3260974Z 
2025-08-26T20:28:22.3261116Z echo
2025-08-26T20:28:22.3261286Z echo "Reenabled issues? "
2025-08-26T20:28:22.3268419Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:28:22.3268714Z env:
2025-08-26T20:28:22.3268877Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:28:22.3269121Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:22.3269382Z ##[endgroup]
2025-08-26T20:28:22.3295522Z Filtered matrix:
2025-08-26T20:28:22.3298480Z {include: [{config: default, shard: 1, num_shards: 5, runner: linux.g6.4xlarge.experimental.nvidia.gpu}, {config: default, shard: 2, num_shards: 5, runner: linux.g6.4xlarge.experimental.nvidia.gpu}, {config: default, shard: 3, num_shards: 5, runner: linux.g6.4xlarge.experimental.nvidia.gpu}, {config: default, shard: 4, num_shards: 5, runner: linux.g6.4xlarge.experimental.nvidia.gpu}, {config: default, shard: 5, num_shards: 5, runner: linux.g6.4xlarge.experimental.nvidia.gpu}, {config: distributed, shard: 1, num_shards: 3, runner: linux.g4dn.12xlarge.nvidia.gpu}, {config: distributed, shard: 2, num_shards: 3, runner: linux.g4dn.12xlarge.nvidia.gpu}, {config: distributed, shard: 3, num_shards: 3, runner: linux.g4dn.12xlarge.nvidia.gpu}, {config: pr_time_benchmarks, shard: 1, num_shards: 1, runner: linux.g4dn.metal.nvidia.gpu}]}
2025-08-26T20:28:22.3300630Z 
2025-08-26T20:28:22.3300726Z Is the current job unstable? False
2025-08-26T20:28:22.3300890Z 
2025-08-26T20:28:22.3300977Z Is keep-going label set? True
2025-08-26T20:28:22.3301111Z 
2025-08-26T20:28:22.3301185Z Reenabled issues? 
2025-08-26T20:28:22.3341434Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-26T20:28:22.3341995Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-26T20:28:22.3348938Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:28:22.3349287Z env:
2025-08-26T20:28:22.3349522Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:28:22.3349873Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:22.3350218Z   JOB_TIMEOUT: 360
2025-08-26T20:28:22.3350434Z ##[endgroup]
2025-08-26T20:28:22.3405373Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:28:22.3405790Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:28:22.3406115Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:28:22.3412526Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:28:22.3412810Z env:
2025-08-26T20:28:22.3412974Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:28:22.3413223Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:22.3413483Z ##[endgroup]
2025-08-26T20:28:22.3531070Z ##[group]Run set -x
2025-08-26T20:28:22.3531375Z set -x
2025-08-26T20:28:22.3531556Z 
2025-08-26T20:28:22.3531748Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-08-26T20:28:22.3532194Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-08-26T20:28:22.3532484Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-08-26T20:28:22.3532743Z   TEST_COMMAND=.ci/onnx/test.sh
2025-08-26T20:28:22.3532968Z else
2025-08-26T20:28:22.3533150Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-08-26T20:28:22.3533368Z fi
2025-08-26T20:28:22.3533514Z 
2025-08-26T20:28:22.3533700Z # Leaving 1GB for the runner and other things
2025-08-26T20:28:22.3534123Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-08-26T20:28:22.3534738Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-08-26T20:28:22.3535250Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-08-26T20:28:22.3535638Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-08-26T20:28:22.3535949Z 
2025-08-26T20:28:22.3536146Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-26T20:28:22.3536393Z   SHM_OPTS=
2025-08-26T20:28:22.3536569Z   JENKINS_USER=
2025-08-26T20:28:22.3536826Z   # ensure that docker container cleanly exits in 12 hours
2025-08-26T20:28:22.3537163Z   # if for some reason cleanup action doesn't stop container
2025-08-26T20:28:22.3537443Z   # when job is cancelled
2025-08-26T20:28:22.3537663Z   DOCKER_SHELL_CMD="sleep 12h"
2025-08-26T20:28:22.3537868Z else
2025-08-26T20:28:22.3538050Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-08-26T20:28:22.3538293Z   JENKINS_USER="--user jenkins"
2025-08-26T20:28:22.3538519Z   DOCKER_SHELL_CMD=
2025-08-26T20:28:22.3538703Z fi
2025-08-26T20:28:22.3538849Z 
2025-08-26T20:28:22.3539103Z # detached container should get cleaned up by teardown_ec2_linux
2025-08-26T20:28:22.3539481Z # TODO: Stop building test binaries as part of the build phase
2025-08-26T20:28:22.3539902Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-08-26T20:28:22.3540279Z # shellcheck disable=SC2086,SC2090
2025-08-26T20:28:22.3540516Z container_name=$(docker run \
2025-08-26T20:28:22.3540739Z   ${GPU_FLAG:-} \
2025-08-26T20:28:22.3540959Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-08-26T20:28:22.3541204Z   -e BUILD_ENVIRONMENT \
2025-08-26T20:28:22.3541420Z   -e PR_NUMBER \
2025-08-26T20:28:22.3541611Z   -e GITHUB_ACTIONS \
2025-08-26T20:28:22.3541831Z   -e GITHUB_REPOSITORY \
2025-08-26T20:28:22.3542043Z   -e GITHUB_WORKFLOW \
2025-08-26T20:28:22.3542247Z   -e GITHUB_JOB \
2025-08-26T20:28:22.3542445Z   -e GITHUB_RUN_ID \
2025-08-26T20:28:22.3542643Z   -e GITHUB_RUN_NUMBER \
2025-08-26T20:28:22.3543143Z   -e GITHUB_RUN_ATTEMPT \
2025-08-26T20:28:22.3543375Z   -e JOB_ID \
2025-08-26T20:28:22.3543570Z   -e JOB_NAME \
2025-08-26T20:28:22.3543758Z   -e BASE_SHA \
2025-08-26T20:28:22.3543939Z   -e BRANCH \
2025-08-26T20:28:22.3544123Z   -e SHA1 \
2025-08-26T20:28:22.3544308Z   -e AWS_DEFAULT_REGION \
2025-08-26T20:28:22.3544526Z   -e IN_WHEEL_TEST \
2025-08-26T20:28:22.3544721Z   -e SHARD_NUMBER \
2025-08-26T20:28:22.3544922Z   -e TEST_CONFIG \
2025-08-26T20:28:22.3545121Z   -e NUM_TEST_SHARDS \
2025-08-26T20:28:22.3545334Z   -e REENABLED_ISSUES \
2025-08-26T20:28:22.3545551Z   -e CONTINUE_THROUGH_ERROR \
2025-08-26T20:28:22.3545951Z   -e VERBOSE_TEST_LOGS \
2025-08-26T20:28:22.3546178Z   -e TEST_SHOWLOCALS \
2025-08-26T20:28:22.3546383Z   -e NO_TEST_TIMEOUT \
2025-08-26T20:28:22.3546576Z   -e NO_TD \
2025-08-26T20:28:22.3546858Z   -e TD_DISTRIBUTED \
2025-08-26T20:28:22.3547054Z   -e PR_LABELS \
2025-08-26T20:28:22.3547273Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-08-26T20:28:22.3547520Z   -e SCCACHE_BUCKET \
2025-08-26T20:28:22.3547723Z   -e SCCACHE_REGION \
2025-08-26T20:28:22.3547916Z   -e XLA_CUDA \
2025-08-26T20:28:22.3548124Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-08-26T20:28:22.3548383Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-08-26T20:28:22.3548644Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-08-26T20:28:22.3548910Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-08-26T20:28:22.3549154Z   -e HUGGING_FACE_HUB_TOKEN \
2025-08-26T20:28:22.3549399Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-08-26T20:28:22.3549645Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-08-26T20:28:22.3549872Z   -e DASHBOARD_TAG \
2025-08-26T20:28:22.3550077Z   -e ARTIFACTS_FILE_SUFFIX \
2025-08-26T20:28:22.3550339Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-08-26T20:28:22.3550630Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-08-26T20:28:22.3550923Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-08-26T20:28:22.3551203Z   --security-opt seccomp=unconfined \
2025-08-26T20:28:22.3551452Z   --cap-add=SYS_PTRACE \
2025-08-26T20:28:22.3551664Z   --ipc=host \
2025-08-26T20:28:22.3551844Z   ${SHM_OPTS} \
2025-08-26T20:28:22.3552024Z   --tty \
2025-08-26T20:28:22.3552197Z   --detach \
2025-08-26T20:28:22.3552393Z   --name="${container_name}" \
2025-08-26T20:28:22.3552633Z   ${JENKINS_USER} \
2025-08-26T20:28:22.3552890Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-08-26T20:28:22.3553177Z   -w /var/lib/jenkins/workspace \
2025-08-26T20:28:22.3553404Z   "${DOCKER_IMAGE}" \
2025-08-26T20:28:22.3553602Z   ${DOCKER_SHELL_CMD}
2025-08-26T20:28:22.3553789Z )
2025-08-26T20:28:22.3554020Z # Propagate download.pytorch.org IP to container
2025-08-26T20:28:22.3554510Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts"
2025-08-26T20:28:22.3555032Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-08-26T20:28:22.3555318Z 
2025-08-26T20:28:22.3555512Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-26T20:28:22.3556017Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-08-26T20:28:22.3556387Z fi
2025-08-26T20:28:22.3556534Z 
2025-08-26T20:28:22.3556887Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-08-26T20:28:22.3563436Z shell: /usr/bin/bash -e {0}
2025-08-26T20:28:22.3563652Z env:
2025-08-26T20:28:22.3563812Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:28:22.3564064Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:22.3564383Z   BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc11
2025-08-26T20:28:22.3564647Z   PR_NUMBER: 
2025-08-26T20:28:22.3564840Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-08-26T20:28:22.3565064Z   GITHUB_WORKFLOW: trunk
2025-08-26T20:28:22.3565247Z   GITHUB_JOB: test
2025-08-26T20:28:22.3565418Z   GITHUB_RUN_ID: 17248463647
2025-08-26T20:28:22.3565613Z   GITHUB_RUN_NUMBER: 141812
2025-08-26T20:28:22.3565800Z   GITHUB_RUN_ATTEMPT: 1
2025-08-26T20:28:22.3565975Z   JOB_ID: 48947455375
2025-08-26T20:28:22.3566354Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-26T20:28:22.3566872Z   BRANCH: main
2025-08-26T20:28:22.3567059Z   SHA1: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:28:22.3567336Z   BASE_SHA: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:28:22.3567638Z   TEST_CONFIG: default
2025-08-26T20:28:22.3567811Z   SHARD_NUMBER: 1
2025-08-26T20:28:22.3567970Z   NUM_TEST_SHARDS: 5
2025-08-26T20:28:22.3568141Z   REENABLED_ISSUES: 
2025-08-26T20:28:22.3568317Z   CONTINUE_THROUGH_ERROR: True
2025-08-26T20:28:22.3568524Z   VERBOSE_TEST_LOGS: False
2025-08-26T20:28:22.3568709Z   TEST_SHOWLOCALS: False
2025-08-26T20:28:22.3568894Z   NO_TEST_TIMEOUT: False
2025-08-26T20:28:22.3569069Z   NO_TD: False
2025-08-26T20:28:22.3569233Z   TD_DISTRIBUTED: False
2025-08-26T20:28:22.3569459Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-08-26T20:28:22.3569726Z   SCCACHE_REGION: us-east-1
2025-08-26T20:28:22.3569914Z   SHM_SIZE: 2g
2025-08-26T20:28:22.3570479Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:28:22.3571082Z   XLA_CUDA: 
2025-08-26T20:28:22.3571344Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:28:22.3571678Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-08-26T20:28:22.3571908Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-08-26T20:28:22.3572114Z   DASHBOARD_TAG: 
2025-08-26T20:28:22.3572448Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-08-26T20:28:22.3572763Z   HUGGING_FACE_HUB_TOKEN: ***
2025-08-26T20:28:22.3573057Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-08-26T20:28:22.3573434Z   ARTIFACTS_FILE_SUFFIX: test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375
2025-08-26T20:28:22.3573814Z ##[endgroup]
2025-08-26T20:28:22.3598702Z + [[ default == \m\u\l\t\i\g\p\u ]]
2025-08-26T20:28:22.3599066Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *onnx* ]]
2025-08-26T20:28:22.3599408Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-08-26T20:28:22.3602100Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-08-26T20:28:22.3625686Z + TOTAL_AVAILABLE_MEMORY_IN_GB='59.453 '
2025-08-26T20:28:22.3626181Z + TOTAL_MEMORY_WITH_SWAP=62
2025-08-26T20:28:22.3626702Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *\s\3\9\0\x* ]]
2025-08-26T20:28:22.3627256Z + SHM_OPTS=--shm-size=2g
2025-08-26T20:28:22.3627512Z + JENKINS_USER='--user jenkins'
2025-08-26T20:28:22.3627776Z + DOCKER_SHELL_CMD=
2025-08-26T20:28:22.3635023Z +++ nproc --ignore=2
2025-08-26T20:28:22.3666895Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=59g --memory-swap=62g --env-file=/tmp/github_env_17248463647 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:28:35.1101856Z + container_name=e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T20:28:35.1106261Z + grep download.pytorch.org /etc/hosts
2025-08-26T20:28:35.1108461Z + docker exec -i e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4 sudo bash -c '/bin/cat >> /etc/hosts'
2025-08-26T20:28:35.2166100Z + echo DOCKER_CONTAINER_ID=e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T20:28:35.2167029Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *\s\3\9\0\x* ]]
2025-08-26T20:28:35.2170382Z ++ echo dist/torch-2.9.0a0+git262640f-cp310-cp310-linux_x86_64.whl
2025-08-26T20:28:35.2172736Z + docker exec -t e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git262640f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-08-26T20:28:35.5685024Z Processing ./dist/torch-2.9.0a0+git262640f-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git262640f)
2025-08-26T20:28:35.8895429Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.19.1)
2025-08-26T20:28:35.8898457Z 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->torch==2.9.0a0+git262640f) (4.15.0)
2025-08-26T20:28:35.8902459Z 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->torch==2.9.0a0+git262640f) (1.13.3)
2025-08-26T20:28:35.8906600Z 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->torch==2.9.0a0+git262640f) (2.8.8)
2025-08-26T20:28:35.8910013Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.1.6)
2025-08-26T20:28:35.8914218Z 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->torch==2.9.0a0+git262640f) (2025.7.0)
2025-08-26T20:28:35.8926170Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.3.0)
2025-08-26T20:28:35.9248787Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (1.22.4)
2025-08-26T20:28:35.9265580Z 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->torch==2.9.0a0+git262640f) (1.3.0)
2025-08-26T20:28:35.9297338Z 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->torch==2.9.0a0+git262640f) (3.0.2)
2025-08-26T20:28:36.2430318Z Installing collected packages: torch
2025-08-26T20:28:45.8619467Z Successfully installed torch-2.9.0a0+git262640f
2025-08-26T20:28:45.9120500Z + export TERM=vt100
2025-08-26T20:28:45.9120789Z + TERM=vt100
2025-08-26T20:28:45.9122651Z ++ dirname .ci/pytorch/test.sh
2025-08-26T20:28:45.9133449Z + source .ci/pytorch/common.sh
2025-08-26T20:28:45.9137289Z +++ dirname .ci/pytorch/common.sh
2025-08-26T20:28:45.9146946Z ++ source .ci/pytorch/common_utils.sh
2025-08-26T20:28:45.9147917Z +++ declare -f -t trap_add
2025-08-26T20:28:45.9152086Z ++ set -ex -o pipefail
2025-08-26T20:28:45.9152410Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-08-26T20:28:45.9152758Z ++ BUILD_TEST_LIBTORCH=0
2025-08-26T20:28:45.9155462Z ++ dirname .ci/pytorch/test.sh
2025-08-26T20:28:45.9165357Z + source .ci/pytorch/common-build.sh
2025-08-26T20:28:45.9167388Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 != *win-* ]]
2025-08-26T20:28:45.9173678Z ++++ dirname .ci/pytorch/common-build.sh
2025-08-26T20:28:45.9181944Z +++ cd .ci/pytorch
2025-08-26T20:28:45.9182180Z +++ pwd -P
2025-08-26T20:28:45.9184550Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-08-26T20:28:45.9184956Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-pch* ]]
2025-08-26T20:28:45.9185269Z ++ which sccache
2025-08-26T20:28:45.9206096Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-08-26T20:28:45.9206405Z ++ sccache --stop-server
2025-08-26T20:28:45.9232297Z ++ true
2025-08-26T20:28:45.9232537Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-08-26T20:28:45.9244505Z ++ trap_add sccache_epilogue EXIT
2025-08-26T20:28:45.9244862Z ++ trap_add_cmd=sccache_epilogue
2025-08-26T20:28:45.9245071Z ++ shift
2025-08-26T20:28:45.9245239Z ++ for trap_add_name in "$@"
2025-08-26T20:28:45.9250819Z ++++ trap -p EXIT
2025-08-26T20:28:45.9253295Z +++ eval 'extract_trap_cmd '
2025-08-26T20:28:45.9253497Z ++++ extract_trap_cmd
2025-08-26T20:28:45.9253675Z ++++ printf '%s\n' ''
2025-08-26T20:28:45.9253975Z +++ printf '%s\n' sccache_epilogue
2025-08-26T20:28:45.9256569Z ++ trap -- '
2025-08-26T20:28:45.9256747Z sccache_epilogue' EXIT
2025-08-26T20:28:45.9256937Z ++ [[ -n 1 ]]
2025-08-26T20:28:45.9257228Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-08-26T20:28:45.9257677Z Skipping sccache server initialization, setting environment variables
2025-08-26T20:28:45.9257992Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:28:45.9258208Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:28:45.9258461Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:28:45.9258800Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:28:45.9259103Z ++ export RUST_LOG=sccache::server=error
2025-08-26T20:28:45.9259336Z ++ RUST_LOG=sccache::server=error
2025-08-26T20:28:45.9259550Z ++ sccache --zero-stats
2025-08-26T20:28:46.0550584Z Statistics zeroed.
2025-08-26T20:28:46.0558237Z ++ which ccache
2025-08-26T20:28:46.0586056Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-08-26T20:28:46.0586373Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *s390x* ]]
2025-08-26T20:28:46.0586658Z + [[ -d /var/lib/jenkins/workspace ]]
2025-08-26T20:28:46.0589697Z ++ stat -c %u /var/lib/jenkins/workspace
2025-08-26T20:28:46.0605048Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-08-26T20:28:46.0605480Z + trap_add cleanup_workspace EXIT
2025-08-26T20:28:46.0605860Z + trap_add_cmd=cleanup_workspace
2025-08-26T20:28:46.0606135Z + shift
2025-08-26T20:28:46.0606304Z + for trap_add_name in "$@"
2025-08-26T20:28:46.0612888Z +++ trap -p EXIT
2025-08-26T20:28:46.0615315Z ++ eval 'extract_trap_cmd trap -- '\''
2025-08-26T20:28:46.0615712Z sccache_epilogue'\'' EXIT'
2025-08-26T20:28:46.0616039Z +++ extract_trap_cmd trap -- '
2025-08-26T20:28:46.0616348Z sccache_epilogue' EXIT
2025-08-26T20:28:46.0616533Z +++ printf '%s\n' '
2025-08-26T20:28:46.0616707Z sccache_epilogue'
2025-08-26T20:28:46.0616949Z ++ printf '%s\n' cleanup_workspace
2025-08-26T20:28:46.0618124Z + trap -- '
2025-08-26T20:28:46.0618382Z sccache_epilogue
2025-08-26T20:28:46.0618665Z cleanup_workspace' EXIT
2025-08-26T20:28:46.0618985Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-08-26T20:28:46.9076182Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-08-26T20:28:46.9096640Z + echo 'Environment variables:'
2025-08-26T20:28:46.9097093Z Environment variables:
2025-08-26T20:28:46.9097419Z + env
2025-08-26T20:28:46.9106649Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:28:46.9107027Z CONTINUE_THROUGH_ERROR=True
2025-08-26T20:28:46.9107313Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11
2025-08-26T20:28:46.9107781Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-08-26T20:28:46.9108003Z HOSTNAME=e44f48fbfae3
2025-08-26T20:28:46.9108430Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_75d097c0-96da-4e22-82ae-93ac0aa0f1ce
2025-08-26T20:28:46.9108868Z GITHUB_ACTION=__run_2
2025-08-26T20:28:46.9109060Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-26T20:28:46.9109282Z GITHUB_RUN_NUMBER=141812
2025-08-26T20:28:46.9109469Z TEST_CONFIG=default
2025-08-26T20:28:46.9109647Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-26T20:28:46.9109883Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-26T20:28:46.9110116Z SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:28:46.9110399Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-26T20:28:46.9110860Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-26T20:28:46.9111113Z GITHUB_REF_TYPE=branch
2025-08-26T20:28:46.9111332Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:28:46.9111697Z XLA_CUDA=
2025-08-26T20:28:46.9111862Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-26T20:28:46.9112163Z HUGGING_FACE_HUB_TOKEN=***
2025-08-26T20:28:46.9112597Z ***
2025-08-26T20:28:46.9112764Z GITHUB_REPOSITORY_ID=65600975
2025-08-26T20:28:46.9112972Z GITHUB_ACTIONS=true
2025-08-26T20:28:46.9113150Z NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:46.9113396Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:28:46.9113676Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:28:46.9113933Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:28:46.9114289Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/trunk.yml@refs/heads/main
2025-08-26T20:28:46.9114644Z UCC_HOME=/usr
2025-08-26T20:28:46.9114812Z VERBOSE_TEST_LOGS=False
2025-08-26T20:28:46.9115007Z GITHUB_REF=refs/heads/main
2025-08-26T20:28:46.9115189Z SHARD_NUMBER=1
2025-08-26T20:28:46.9115362Z GITHUB_REF_PROTECTED=true
2025-08-26T20:28:46.9115550Z HOME=/var/lib/jenkins
2025-08-26T20:28:46.9115894Z GITHUB_API_URL=https://api.github.com
2025-08-26T20:28:46.9116171Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-26T20:28:46.9116417Z UCX_COMMIT=7bb2722ff2187a0cad557ae4a6afa090569f83fb
2025-08-26T20:28:46.9116662Z USE_SYSTEM_NCCL=1
2025-08-26T20:28:46.9116828Z NUM_TEST_SHARDS=5
2025-08-26T20:28:46.9116989Z UCX_HOME=/usr
2025-08-26T20:28:46.9117389Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_75d097c0-96da-4e22-82ae-93ac0aa0f1ce
2025-08-26T20:28:46.9118078Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-26T20:28:46.9118810Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_75d097c0-96da-4e22-82ae-93ac0aa0f1ce
2025-08-26T20:28:46.9119390Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-26T20:28:46.9119748Z GITHUB_EVENT_NAME=push
2025-08-26T20:28:46.9119928Z DASHBOARD_TAG=
2025-08-26T20:28:46.9120099Z GITHUB_RUN_ID=17248463647
2025-08-26T20:28:46.9120303Z INSTALLED_OPENBLAS=
2025-08-26T20:28:46.9120734Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_75d097c0-96da-4e22-82ae-93ac0aa0f1ce
2025-08-26T20:28:46.9121233Z GITHUB_ACTOR=pytorchmergebot
2025-08-26T20:28:46.9121435Z PR_NUMBER=
2025-08-26T20:28:46.9121594Z DESIRED_CUDA=12.8.1
2025-08-26T20:28:46.9121770Z GITHUB_RUN_ATTEMPT=1
2025-08-26T20:28:46.9121949Z ANACONDA_PYTHON_VERSION=3.10
2025-08-26T20:28:46.9122200Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-26T20:28:46.9122448Z TERM=vt100
2025-08-26T20:28:46.9122597Z INSTALLED_VISION=yes
2025-08-26T20:28:46.9122768Z BRANCH=main
2025-08-26T20:28:46.9122926Z SCCACHE_REGION=us-east-1
2025-08-26T20:28:46.9123123Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-26T20:28:46.9123328Z CUDA_PATH=/usr/local/cuda
2025-08-26T20:28:46.9123702Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-26T20:28:46.9124160Z GITHUB_SERVER_URL=https://github.com
2025-08-26T20:28:46.9124428Z UCC_COMMIT=20eae37090a4ce1b32bcce6144ccad0b49943e0b
2025-08-26T20:28:46.9124688Z REENABLED_ISSUES=
2025-08-26T20:28:46.9124844Z DOCS=
2025-08-26T20:28:46.9124986Z SHLVL=1
2025-08-26T20:28:46.9125130Z MAX_JOBS=14
2025-08-26T20:28:46.9125282Z GITHUB_ACTOR_ID=97764156
2025-08-26T20:28:46.9125525Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:28:46.9125806Z GITHUB_REF_NAME=main
2025-08-26T20:28:46.9126084Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:28:46.9126382Z GITHUB_JOB=test
2025-08-26T20:28:46.9126551Z NO_TEST_TIMEOUT=False
2025-08-26T20:28:46.9126732Z TD_DISTRIBUTED=False
2025-08-26T20:28:46.9126919Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-26T20:28:46.9127286Z GITHUB_RETENTION_DAYS=90
2025-08-26T20:28:46.9127485Z OPENSSL_DIR=/opt/openssl
2025-08-26T20:28:46.9127675Z GITHUB_ACTION_REPOSITORY=
2025-08-26T20:28:46.9128219Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-26T20:28:46.9128865Z GITHUB_BASE_REF=
2025-08-26T20:28:46.9129027Z INSTALLED_ACL=
2025-08-26T20:28:46.9129365Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375
2025-08-26T20:28:46.9129744Z CI=true
2025-08-26T20:28:46.9129904Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-26T20:28:46.9130153Z RUST_LOG=sccache::server=error
2025-08-26T20:28:46.9130351Z JOB_ID=48947455375
2025-08-26T20:28:46.9130514Z GITHUB_HEAD_REF=
2025-08-26T20:28:46.9130674Z GITHUB_ACTION_REF=
2025-08-26T20:28:46.9130886Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-26T20:28:46.9131150Z TEST_SHOWLOCALS=False
2025-08-26T20:28:46.9131332Z GITHUB_WORKFLOW=trunk
2025-08-26T20:28:46.9131520Z DEBIAN_FRONTEND=noninteractive
2025-08-26T20:28:46.9131970Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_75d097c0-96da-4e22-82ae-93ac0aa0f1ce
2025-08-26T20:28:46.9132420Z NO_TD=False
2025-08-26T20:28:46.9132592Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-26T20:28:46.9132815Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-26T20:28:46.9133031Z _=/usr/bin/env
2025-08-26T20:28:46.9133261Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-08-26T20:28:46.9694290Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-08-26T20:28:46.9695248Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-08-26T20:28:46.9695777Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-08-26T20:28:46.9696285Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-08-26T20:28:46.9696682Z + BUILD_DIR=build
2025-08-26T20:28:46.9696926Z + BUILD_RENAMED_DIR=build_renamed
2025-08-26T20:28:46.9697201Z + BUILD_BIN_DIR=build/bin
2025-08-26T20:28:46.9697426Z + SHARD_NUMBER=1
2025-08-26T20:28:46.9697731Z + NUM_TEST_SHARDS=5
2025-08-26T20:28:46.9698039Z + export TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:28:46.9698330Z + TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:28:46.9698582Z + export VALGRIND=ON
2025-08-26T20:28:46.9698801Z + VALGRIND=ON
2025-08-26T20:28:46.9699082Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *clang9* ]]
2025-08-26T20:28:46.9699448Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-08-26T20:28:46.9699747Z + detect_cuda_arch
2025-08-26T20:28:46.9699999Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-08-26T20:28:46.9700310Z + command -v nvidia-smi
2025-08-26T20:28:46.9700534Z /usr/bin/nvidia-smi
2025-08-26T20:28:46.9704633Z ++ nvidia-smi --query-gpu=compute_cap --format=csv
2025-08-26T20:28:46.9706084Z ++ tail -n 1
2025-08-26T20:28:46.9917625Z + TORCH_CUDA_ARCH_LIST=8.9
2025-08-26T20:28:46.9917996Z + export TORCH_CUDA_ARCH_LIST
2025-08-26T20:28:46.9918421Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *s390x* ]]
2025-08-26T20:28:46.9918751Z + [[ 0 == \1 ]]
2025-08-26T20:28:46.9918955Z + [[ True == \1 ]]
2025-08-26T20:28:46.9919220Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *bazel* ]]
2025-08-26T20:28:46.9922800Z ++ realpath build/custom_test_artifacts
2025-08-26T20:28:46.9932280Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-08-26T20:28:46.9932895Z + [[ -n '' ]]
2025-08-26T20:28:46.9933168Z + echo 'Environment variables'
2025-08-26T20:28:46.9933381Z Environment variables
2025-08-26T20:28:46.9933553Z + env
2025-08-26T20:28:47.0105077Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:28:47.0105813Z CONTINUE_THROUGH_ERROR=True
2025-08-26T20:28:47.0106279Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11
2025-08-26T20:28:47.0106887Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-08-26T20:28:47.0107171Z HOSTNAME=e44f48fbfae3
2025-08-26T20:28:47.0108023Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_75d097c0-96da-4e22-82ae-93ac0aa0f1ce
2025-08-26T20:28:47.0108658Z GITHUB_ACTION=__run_2
2025-08-26T20:28:47.0108907Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-26T20:28:47.0109356Z GITHUB_RUN_NUMBER=141812
2025-08-26T20:28:47.0109585Z TEST_CONFIG=default
2025-08-26T20:28:47.0109818Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-26T20:28:47.0110120Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-26T20:28:47.0110411Z SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:28:47.0110772Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-26T20:28:47.0111062Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-26T20:28:47.0111345Z GITHUB_REF_TYPE=branch
2025-08-26T20:28:47.0111578Z TORCH_CUDA_ARCH_LIST=8.9
2025-08-26T20:28:47.0111805Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:28:47.0112036Z XLA_CUDA=
2025-08-26T20:28:47.0112202Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-26T20:28:47.0112665Z HUGGING_FACE_HUB_TOKEN=***
2025-08-26T20:28:47.0113019Z ***
2025-08-26T20:28:47.0113263Z GITHUB_REPOSITORY_ID=65600975
2025-08-26T20:28:47.0113576Z GITHUB_ACTIONS=true
2025-08-26T20:28:47.0113858Z NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T20:28:47.0114275Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:28:47.0114663Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:28:47.0114922Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:28:47.0115282Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/trunk.yml@refs/heads/main
2025-08-26T20:28:47.0115609Z UCC_HOME=/usr
2025-08-26T20:28:47.0115876Z TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:28:47.0116237Z VERBOSE_TEST_LOGS=False
2025-08-26T20:28:47.0116503Z GITHUB_REF=refs/heads/main
2025-08-26T20:28:47.0116799Z SHARD_NUMBER=1
2025-08-26T20:28:47.0116971Z GITHUB_REF_PROTECTED=true
2025-08-26T20:28:47.0117158Z HOME=/var/lib/jenkins
2025-08-26T20:28:47.0117365Z GITHUB_API_URL=https://api.github.com
2025-08-26T20:28:47.0117610Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-26T20:28:47.0117873Z UCX_COMMIT=7bb2722ff2187a0cad557ae4a6afa090569f83fb
2025-08-26T20:28:47.0118143Z USE_SYSTEM_NCCL=1
2025-08-26T20:28:47.0118578Z NUM_TEST_SHARDS=5
2025-08-26T20:28:47.0118765Z UCX_HOME=/usr
2025-08-26T20:28:47.0119189Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_75d097c0-96da-4e22-82ae-93ac0aa0f1ce
2025-08-26T20:28:47.0119842Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-26T20:28:47.0120471Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_75d097c0-96da-4e22-82ae-93ac0aa0f1ce
2025-08-26T20:28:47.0121039Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-26T20:28:47.0121413Z GITHUB_EVENT_NAME=push
2025-08-26T20:28:47.0121590Z DASHBOARD_TAG=
2025-08-26T20:28:47.0121761Z GITHUB_RUN_ID=17248463647
2025-08-26T20:28:47.0121961Z INSTALLED_OPENBLAS=
2025-08-26T20:28:47.0122403Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_75d097c0-96da-4e22-82ae-93ac0aa0f1ce
2025-08-26T20:28:47.0122881Z GITHUB_ACTOR=pytorchmergebot
2025-08-26T20:28:47.0123082Z PR_NUMBER=
2025-08-26T20:28:47.0123247Z DESIRED_CUDA=12.8.1
2025-08-26T20:28:47.0123419Z GITHUB_RUN_ATTEMPT=1
2025-08-26T20:28:47.0123598Z VALGRIND=ON
2025-08-26T20:28:47.0123769Z ANACONDA_PYTHON_VERSION=3.10
2025-08-26T20:28:47.0124018Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-26T20:28:47.0124264Z TERM=vt100
2025-08-26T20:28:47.0124417Z INSTALLED_VISION=yes
2025-08-26T20:28:47.0124583Z BRANCH=main
2025-08-26T20:28:47.0124746Z SCCACHE_REGION=us-east-1
2025-08-26T20:28:47.0124938Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-26T20:28:47.0125137Z CUDA_PATH=/usr/local/cuda
2025-08-26T20:28:47.0125526Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-26T20:28:47.0125959Z GITHUB_SERVER_URL=https://github.com
2025-08-26T20:28:47.0127206Z UCC_COMMIT=20eae37090a4ce1b32bcce6144ccad0b49943e0b
2025-08-26T20:28:47.0127474Z REENABLED_ISSUES=
2025-08-26T20:28:47.0127638Z DOCS=
2025-08-26T20:28:47.0127794Z SHLVL=1
2025-08-26T20:28:47.0127941Z MAX_JOBS=14
2025-08-26T20:28:47.0128093Z GITHUB_ACTOR_ID=97764156
2025-08-26T20:28:47.0128409Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:28:47.0128675Z GITHUB_REF_NAME=main
2025-08-26T20:28:47.0128949Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:28:47.0129244Z GITHUB_JOB=test
2025-08-26T20:28:47.0129407Z NO_TEST_TIMEOUT=False
2025-08-26T20:28:47.0129583Z TD_DISTRIBUTED=False
2025-08-26T20:28:47.0129778Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-26T20:28:47.0129988Z GITHUB_RETENTION_DAYS=90
2025-08-26T20:28:47.0130177Z OPENSSL_DIR=/opt/openssl
2025-08-26T20:28:47.0130368Z GITHUB_ACTION_REPOSITORY=
2025-08-26T20:28:47.0130919Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-26T20:28:47.0131485Z GITHUB_BASE_REF=
2025-08-26T20:28:47.0131653Z INSTALLED_ACL=
2025-08-26T20:28:47.0131988Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375
2025-08-26T20:28:47.0132370Z CI=true
2025-08-26T20:28:47.0132527Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-26T20:28:47.0132770Z RUST_LOG=sccache::server=error
2025-08-26T20:28:47.0132963Z JOB_ID=48947455375
2025-08-26T20:28:47.0133126Z GITHUB_HEAD_REF=
2025-08-26T20:28:47.0133285Z GITHUB_ACTION_REF=
2025-08-26T20:28:47.0133498Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-26T20:28:47.0133751Z TEST_SHOWLOCALS=False
2025-08-26T20:28:47.0133930Z GITHUB_WORKFLOW=trunk
2025-08-26T20:28:47.0134106Z DEBIAN_FRONTEND=noninteractive
2025-08-26T20:28:47.0134547Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_75d097c0-96da-4e22-82ae-93ac0aa0f1ce
2025-08-26T20:28:47.0134991Z NO_TD=False
2025-08-26T20:28:47.0135165Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-26T20:28:47.0135384Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-26T20:28:47.0135618Z _=/usr/bin/env
2025-08-26T20:28:47.0135785Z + echo 'Testing pytorch'
2025-08-26T20:28:47.0135969Z Testing pytorch
2025-08-26T20:28:47.0136147Z + export LANG=C.UTF-8
2025-08-26T20:28:47.0136320Z + LANG=C.UTF-8
2025-08-26T20:28:47.0136472Z + PR_NUMBER=
2025-08-26T20:28:47.0136636Z + [[ default == \d\e\f\a\u\l\t ]]
2025-08-26T20:28:47.0136844Z + export CUDA_VISIBLE_DEVICES=0
2025-08-26T20:28:47.0137045Z + CUDA_VISIBLE_DEVICES=0
2025-08-26T20:28:47.0137233Z + export HIP_VISIBLE_DEVICES=0
2025-08-26T20:28:47.0137431Z + HIP_VISIBLE_DEVICES=0
2025-08-26T20:28:47.0137613Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-08-26T20:28:47.0137843Z + [[ default == \s\l\o\w ]]
2025-08-26T20:28:47.0138096Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *slow-gradcheck* ]]
2025-08-26T20:28:47.0138407Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-08-26T20:28:47.0138675Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-08-26T20:28:47.0138925Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-08-26T20:28:47.0139145Z + [[ default == *crossref* ]]
2025-08-26T20:28:47.0139367Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-08-26T20:28:47.0139639Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-08-26T20:28:47.0139923Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *-bazel-* ]]
2025-08-26T20:28:47.0140175Z + pip_install ninja==1.10.2
2025-08-26T20:28:47.0140434Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-26T20:28:47.0140757Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-08-26T20:28:48.6144359Z Collecting ninja==1.10.2
2025-08-26T20:28:48.6303244Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-08-26T20:28:48.6936150Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-08-26T20:28:49.0056874Z Installing collected packages: ninja
2025-08-26T20:28:49.0057252Z   Attempting uninstall: ninja
2025-08-26T20:28:49.0063928Z     Found existing installation: ninja 1.11.1.3
2025-08-26T20:28:49.0085180Z     Uninstalling ninja-1.11.1.3:
2025-08-26T20:28:49.0176709Z       Successfully uninstalled ninja-1.11.1.3
2025-08-26T20:28:49.0788003Z Successfully installed ninja-1.10.2
2025-08-26T20:28:49.1241065Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-26T20:28:49.1242482Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-26T20:28:49.1243337Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *aarch64* ]]
2025-08-26T20:28:49.1243643Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *asan* ]]
2025-08-26T20:28:49.1243926Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-debug* ]]
2025-08-26T20:28:49.1244251Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *-bazel-* ]]
2025-08-26T20:28:49.1244669Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11. Expect the assertion to pass'
2025-08-26T20:28:49.1245173Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11. Expect the assertion to pass
2025-08-26T20:28:49.1245523Z + cd test
2025-08-26T20:28:49.1245781Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-08-26T20:28:50.5242294Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-08-26T20:28:50.5242681Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-08-26T20:28:50.5243295Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-08-26T20:28:50.5245636Z + DYNAMO_BENCHMARK_FLAGS=()
2025-08-26T20:28:50.5246003Z + [[ default == *pr_time_benchmarks* ]]
2025-08-26T20:28:50.5246311Z + [[ default == *dynamo_eager* ]]
2025-08-26T20:28:50.5246586Z + [[ default == *aot_eager* ]]
2025-08-26T20:28:50.5246830Z + [[ default == *aot_inductor* ]]
2025-08-26T20:28:50.5247130Z + [[ default == *max_autotune_inductor* ]]
2025-08-26T20:28:50.5247410Z + [[ default == *inductor* ]]
2025-08-26T20:28:50.5247670Z + [[ default == *dynamic* ]]
2025-08-26T20:28:50.5247907Z + [[ default == *cpu* ]]
2025-08-26T20:28:50.5248199Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-08-26T20:28:50.5345803Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *libtorch* ]]
2025-08-26T20:28:50.5346228Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-bazel-* ]]
2025-08-26T20:28:50.5349182Z + cd test
2025-08-26T20:28:50.5349986Z + python -c 'import torch; print(torch.__config__.show())'
2025-08-26T20:28:51.9217092Z PyTorch built with:
2025-08-26T20:28:51.9217371Z   - GCC 11.4
2025-08-26T20:28:51.9217589Z   - C++ Version: 201703
2025-08-26T20:28:51.9218111Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-26T20:28:51.9218765Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-26T20:28:51.9219198Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-26T20:28:51.9219506Z   - LAPACK is enabled (usually provided by MKL)
2025-08-26T20:28:51.9219805Z   - NNPACK is enabled
2025-08-26T20:28:51.9220048Z   - CPU capability usage: AVX2
2025-08-26T20:28:51.9220325Z   - CUDA Runtime 12.8
2025-08-26T20:28:51.9220765Z   - NVCC architecture flags: -gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_89,code=sm_89
2025-08-26T20:28:51.9221240Z   - CuDNN 90.8
2025-08-26T20:28:51.9225233Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=262640fd220236042fbf4443cc163c8838c84c3d, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=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 -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-08-26T20:28:51.9228925Z 
2025-08-26T20:28:52.2264233Z + cd test
2025-08-26T20:28:52.2264637Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-08-26T20:28:53.3562265Z ATen/Parallel:
2025-08-26T20:28:53.3562622Z 	at::get_num_threads() : 8
2025-08-26T20:28:53.3562913Z 	at::get_num_interop_threads() : 8
2025-08-26T20:28:53.3563200Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-26T20:28:53.3563517Z 	omp_get_max_threads() : 8
2025-08-26T20:28:53.3564039Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-26T20:28:53.3564605Z 	mkl_get_max_threads() : 8
2025-08-26T20:28:53.3564972Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-26T20:28:53.3565374Z std::thread::hardware_concurrency() : 16
2025-08-26T20:28:53.3565663Z Environment variables:
2025-08-26T20:28:53.3565897Z 	OMP_NUM_THREADS : [not set]
2025-08-26T20:28:53.3566140Z 	MKL_NUM_THREADS : [not set]
2025-08-26T20:28:53.3566395Z ATen parallel backend: OpenMP
2025-08-26T20:28:53.3566570Z 
2025-08-26T20:28:53.5820173Z + [[ default == *numpy_2* ]]
2025-08-26T20:28:53.5820586Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *aarch64* ]]
2025-08-26T20:28:53.5821061Z + [[ default == *backward* ]]
2025-08-26T20:28:53.5821323Z + [[ default == *xla* ]]
2025-08-26T20:28:53.5821547Z + [[ default == *vllm* ]]
2025-08-26T20:28:53.5821814Z + [[ default == *executorch* ]]
2025-08-26T20:28:53.5822072Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]]
2025-08-26T20:28:53.5822404Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *libtorch* ]]
2025-08-26T20:28:53.5822737Z + [[ default == distributed ]]
2025-08-26T20:28:53.5823005Z + [[ default == *operator_benchmark* ]]
2025-08-26T20:28:53.5823293Z + [[ default == *inductor_distributed* ]]
2025-08-26T20:28:53.5823585Z + [[ default == *inductor-halide* ]]
2025-08-26T20:28:53.5823837Z + [[ default == *inductor-triton-cpu* ]]
2025-08-26T20:28:53.5824079Z + [[ default == *inductor-micro-benchmark* ]]
2025-08-26T20:28:53.5824317Z + [[ default == *huggingface* ]]
2025-08-26T20:28:53.5824520Z + [[ default == *timm* ]]
2025-08-26T20:28:53.5824707Z + [[ default == cachebench ]]
2025-08-26T20:28:53.5824903Z + [[ default == verify_cachebench ]]
2025-08-26T20:28:53.5825118Z + [[ default == *torchbench* ]]
2025-08-26T20:28:53.5825333Z + [[ default == *inductor_cpp_wrapper* ]]
2025-08-26T20:28:53.5825564Z + [[ default == *inductor* ]]
2025-08-26T20:28:53.5825759Z + [[ default == *einops* ]]
2025-08-26T20:28:53.5825959Z + [[ default == *dynamo_wrapped* ]]
2025-08-26T20:28:53.5826204Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-08-26T20:28:53.5826459Z + [[ 1 == 1 ]]
2025-08-26T20:28:53.5826620Z + [[ 5 -gt 1 ]]
2025-08-26T20:28:53.5826818Z + test_lazy_tensor_meta_reference_disabled
2025-08-26T20:28:53.5827105Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-08-26T20:28:53.5837787Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-08-26T20:28:53.5838157Z + echo 'Testing lazy tensor operations without meta reference'
2025-08-26T20:28:53.5838498Z Testing lazy tensor operations without meta reference
2025-08-26T20:28:53.5838865Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose
2025-08-26T20:28:56.1874889Z /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.
2025-08-26T20:28:56.1876122Z   import pkg_resources
2025-08-26T20:28:57.9065268Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-26T20:28:57.9547326Z Ignoring disabled issues:  ['']
2025-08-26T20:28:57.9647398Z Found test times from artifacts
2025-08-26T20:28:58.0049481Z Found test times from artifacts
2025-08-26T20:28:58.0060619Z Running all tests
2025-08-26T20:28:58.0063312Z Running parallel tests on 3 processes
2025-08-26T20:28:58.0063648Z Name: tests to run (est. time: 0.01min)
2025-08-26T20:28:58.0063953Z   Serial tests (0):
2025-08-26T20:28:58.0064181Z   Parallel tests (1):
2025-08-26T20:28:58.0064439Z     lazy/test_ts_opinfo 1/1
2025-08-26T20:28:58.0064873Z Name: excluded (est. time: 0.0min)
2025-08-26T20:28:58.0065325Z   Serial tests (0):
2025-08-26T20:28:58.0065589Z   Parallel tests (0):
2025-08-26T20:28:58.0065862Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-26 20:28:58.006368]
2025-08-26T20:28:58.0066161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T20:28:58.0068789Z 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 20:28:58.006669]
2025-08-26T20:29:02.4785790Z 
2025-08-26T20:29:02.4786634Z 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_ebcc91594a03c2a0_.log
2025-08-26T20:29:02.4787343Z Running 0 items in this shard:
2025-08-26T20:29:02.4787530Z 
2025-08-26T20:29:02.8605912Z Uploading artifacts took 0.38 seconds
2025-08-26T20:29:05.7732573Z /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.
2025-08-26T20:29:05.7733930Z   import pkg_resources
2025-08-26T20:29:05.7911399Z /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.
2025-08-26T20:29:05.7912722Z   import pkg_resources
2025-08-26T20:29:05.7925859Z /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.
2025-08-26T20:29:05.7927159Z   import pkg_resources
2025-08-26T20:29:06.1282477Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-26 20:29:06.127837]
2025-08-26T20:29:06.1282886Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T20:29:06.1285253Z 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 20:29:06.128222]
2025-08-26T20:29:10.9511908Z 
2025-08-26T20:29:10.9512832Z 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_19f47633ef0de840_.log
2025-08-26T20:29:10.9515253Z 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
2025-08-26T20:29:10.9516819Z 
2025-08-26T20:29:11.9848631Z Running test batch 'tests to run' cost 13.98 seconds
2025-08-26T20:29:12.7263134Z 
2025-08-26T20:29:12.7263503Z real	0m19.144s
2025-08-26T20:29:12.7263777Z user	0m24.245s
2025-08-26T20:29:12.7263993Z sys	0m11.969s
2025-08-26T20:29:12.7264313Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE
2025-08-26T20:29:12.7264658Z + test_without_numpy
2025-08-26T20:29:12.7267895Z ++ dirname .ci/pytorch/test.sh
2025-08-26T20:29:12.7295459Z + pushd .ci/pytorch
2025-08-26T20:29:12.7295837Z ~/workspace/.ci/pytorch ~/workspace
2025-08-26T20:29:12.7296576Z + 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())'
2025-08-26T20:29:13.4034977Z /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.)
2025-08-26T20:29:13.4036490Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-08-26T20:29:14.0037975Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))'
2025-08-26T20:29:14.6796350Z /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.)
2025-08-26T20:29:14.6797644Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-08-26T20:29:15.0647142Z tensor([0., 1.])
2025-08-26T20:29:15.2788451Z + [[ default == *dynamo_wrapped* ]]
2025-08-26T20:29:15.2789040Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx'
2025-08-26T20:29:15.9482550Z /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.)
2025-08-26T20:29:15.9483888Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-08-26T20:29:16.5636817Z + popd
2025-08-26T20:29:16.5637081Z ~/workspace
2025-08-26T20:29:16.5637306Z + install_torchvision
2025-08-26T20:29:16.5637561Z + local orig_preload
2025-08-26T20:29:16.5637798Z + local commit
2025-08-26T20:29:16.5640885Z ++ get_pinned_commit vision
2025-08-26T20:29:16.5641202Z ++ cat .github/ci_commit_pins/vision.txt
2025-08-26T20:29:16.5667630Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:29:16.5667964Z + orig_preload=
2025-08-26T20:29:16.5668231Z + '[' -n '' ']'
2025-08-26T20:29:16.5668665Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-08-26T20:29:16.5669070Z + export FORCE_CUDA=1
2025-08-26T20:29:16.5669453Z + FORCE_CUDA=1
2025-08-26T20:29:16.5669654Z + export WITH_CUDA=1
2025-08-26T20:29:16.5669882Z + WITH_CUDA=1
2025-08-26T20:29:16.5670399Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-08-26T20:29:16.5671202Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:29:16.5671729Z + local wheel_dir=dist/vision
2025-08-26T20:29:16.5671980Z + local found_whl=0
2025-08-26T20:29:16.5672166Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:29:16.5672386Z + [[ -f dist/vision/*.whl ]]
2025-08-26T20:29:16.5672582Z + '[' 0 == 0 ']'
2025-08-26T20:29:16.5673109Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/vision git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:29:16.8536491Z Collecting git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:29:16.8544735Z   Cloning https://github.com/pytorch/vision.git (to revision 966da7e46f65d6d49df3e31214470a4fe5cc8e66) to /tmp/pip-req-build-3dvo5m7x
2025-08-26T20:29:16.8734250Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-3dvo5m7x
2025-08-26T20:29:18.3182847Z   Running command git rev-parse -q --verify 'sha^966da7e46f65d6d49df3e31214470a4fe5cc8e66'
2025-08-26T20:29:18.3207757Z   Running command git fetch -q https://github.com/pytorch/vision.git 966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:29:18.4432858Z   Running command git checkout -q 966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:29:18.7579566Z   Resolved https://github.com/pytorch/vision.git to commit 966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:29:20.9374046Z   Preparing metadata (setup.py) ... [?25l- \ | done
2025-08-26T20:29:20.9409094Z [?25hBuilding wheels for collected packages: torchvision
2025-08-26T20:29:20.9469418Z   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
2025-08-26T20:30:31.0864431Z   Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done
2025-08-26T20:30:31.0890793Z [?25h  Created wheel for torchvision: filename=torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl size=1761640 sha256=09bd3c2a84a612671ba94039716ab0132d6d5f84cc452781f7d5b8416293c128
2025-08-26T20:30:31.0893643Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/9c/9d/3e/42fa2d5ac6ba44a90363f8fff0fa9e712e24d4f977637c81cb
2025-08-26T20:30:31.0925216Z Successfully built torchvision
2025-08-26T20:30:31.1856282Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:30:31.1856854Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-26T20:30:31.1857483Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl')
2025-08-26T20:30:31.1857893Z + local args
2025-08-26T20:30:31.1858261Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-08-26T20:30:31.1858701Z + for path in "${args[@]}"
2025-08-26T20:30:31.1859139Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl'
2025-08-26T20:30:31.1859668Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-26T20:30:31.1860261Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-26T20:30:31.4804373Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-26T20:30:31.4885045Z Installing collected packages: torchvision
2025-08-26T20:30:31.8962006Z Successfully installed torchvision-0.22.0a0+966da7e
2025-08-26T20:30:31.9247701Z + '[' -n '' ']'
2025-08-26T20:30:31.9247986Z + test_python_shard 1
2025-08-26T20:30:31.9248235Z + [[ -z 5 ]]
2025-08-26T20:30:31.9248837Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 1 5 --verbose --upload-artifacts-while-running
2025-08-26T20:30:34.4929556Z /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.
2025-08-26T20:30:34.4932024Z   import pkg_resources
2025-08-26T20:30:36.2396087Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-26T20:30:36.2495410Z Found test times from artifacts
2025-08-26T20:30:36.2907581Z Found test times from artifacts
2025-08-26T20:30:36.2919911Z Running all tests
2025-08-26T20:30:36.3330838Z Running parallel tests on 3 processes
2025-08-26T20:30:36.3334839Z Name: tests to run (est. time: 91.27min)
2025-08-26T20:30:36.3335180Z   Serial tests (53):
2025-08-26T20:30:36.3335434Z     inductor/test_flex_attention 1/6
2025-08-26T20:30:36.3335737Z     inductor/test_flex_attention 2/6
2025-08-26T20:30:36.3336012Z     inductor/test_flex_attention 3/6
2025-08-26T20:30:36.3336277Z     inductor/test_flex_attention 4/6
2025-08-26T20:30:36.3336546Z     inductor/test_flex_attention 5/6
2025-08-26T20:30:36.3336811Z     inductor/test_flex_attention 6/6
2025-08-26T20:30:36.3337075Z     test_ci_sanity_check_fail 1/1
2025-08-26T20:30:36.3337348Z     doctests 1/1
2025-08-26T20:30:36.3337564Z     inductor/test_max_autotune 1/1
2025-08-26T20:30:36.3337846Z     inductor/test_benchmark_fusion 1/1
2025-08-26T20:30:36.3338134Z     inductor/test_cutlass_backend 1/1
2025-08-26T20:30:36.3338435Z     inductor/test_distributed_patterns 1/1
2025-08-26T20:30:36.3338727Z     dynamo/test_fake_distributed 1/1
2025-08-26T20:30:36.3338989Z     test_utils 1/1
2025-08-26T20:30:36.3339194Z     test_fx 1/1
2025-08-26T20:30:36.3339427Z     test_transformers_privateuse1 1/1
2025-08-26T20:30:36.3339697Z     test_cpp_api_parity 1/1
2025-08-26T20:30:36.3339944Z     test_extension_utils 1/1
2025-08-26T20:30:36.3340183Z     test_openreg 1/1
2025-08-26T20:30:36.3340402Z     test_show_pickle 1/1
2025-08-26T20:30:36.3340618Z     test_torch 1/1
2025-08-26T20:30:36.3340836Z     test_tensorexpr 1/1
2025-08-26T20:30:36.3341020Z     test_overrides 1/1
2025-08-26T20:30:36.3341208Z     test_namedtuple_return_api 1/1
2025-08-26T20:30:36.3341418Z     test_multiprocessing 1/1
2025-08-26T20:30:36.3341627Z     test_autograd_fallback 1/1
2025-08-26T20:30:36.3341823Z     test_reductions 1/1
2025-08-26T20:30:36.3342001Z     test_fake_tensor 1/1
2025-08-26T20:30:36.3342182Z     test_python_dispatch 1/1
2025-08-26T20:30:36.3342379Z     test_autocast 1/1
2025-08-26T20:30:36.3342561Z     test_jit_disabled 1/1
2025-08-26T20:30:36.3342758Z     test_tensor_creation_ops 1/1
2025-08-26T20:30:36.3343173Z     test_cpp_extensions_mtia_backend 1/1
2025-08-26T20:30:36.3343397Z     test_nn 1/1
2025-08-26T20:30:36.3343589Z     functorch/test_memory_efficient_fusion 1/1
2025-08-26T20:30:36.3343852Z     test_cpp_extensions_stream_and_event 1/1
2025-08-26T20:30:36.3344072Z     test_dispatch 1/1
2025-08-26T20:30:36.3344254Z     test_native_mha 1/1
2025-08-26T20:30:36.3344434Z     test_sort_and_select 1/1
2025-08-26T20:30:36.3344632Z     test_cpp_extensions_jit 1/1
2025-08-26T20:30:36.3344841Z     nn/test_pooling 1/1
2025-08-26T20:30:36.3345029Z     nn/test_convolution 1/1
2025-08-26T20:30:36.3345244Z     test_multiprocessing_spawn 1/1
2025-08-26T20:30:36.3345470Z     test_cuda_primary_ctx 1/1
2025-08-26T20:30:36.3345667Z     test_mobile_optimizer 1/1
2025-08-26T20:30:36.3345860Z     test_cuda_trace 1/1
2025-08-26T20:30:36.3346066Z     test_cuda_nvml_based_avail 1/1
2025-08-26T20:30:36.3346280Z     test_spectral_ops 1/1
2025-08-26T20:30:36.3346484Z     distributions/test_distributions 1/1
2025-08-26T20:30:36.3346725Z     test_cpp_extensions_aot_no_ninja 1/1
2025-08-26T20:30:36.3346943Z     test_autoload_disable 1/1
2025-08-26T20:30:36.3347138Z     test_autoload_enable 1/1
2025-08-26T20:30:36.3347335Z     test_cpp_extensions_aot_ninja 1/1
2025-08-26T20:30:36.3347552Z   Parallel tests (22):
2025-08-26T20:30:36.3347739Z     inductor/test_halide 1/1
2025-08-26T20:30:36.3347943Z     inductor/test_autoheuristic 1/1
2025-08-26T20:30:36.3348162Z     inductor/test_cpu_cpp_wrapper 1/1
2025-08-26T20:30:36.3348380Z     dynamo/test_torchrec 1/1
2025-08-26T20:30:36.3348567Z     test_openmp 1/1
2025-08-26T20:30:36.3348953Z     test_fx_experimental 1/1
2025-08-26T20:30:36.3349153Z     test_binary_ufuncs 1/1
2025-08-26T20:30:36.3349353Z     torch_np/test_nep50_examples 1/1
2025-08-26T20:30:36.3349566Z     test_module_tracker 1/1
2025-08-26T20:30:36.3349872Z     test_ops 1/8
2025-08-26T20:30:36.3350036Z     test_content_store 1/1
2025-08-26T20:30:36.3350221Z     test_stateless 1/1
2025-08-26T20:30:36.3350400Z     functorch/test_ac 1/1
2025-08-26T20:30:36.3350587Z     test_numpy_interop 1/1
2025-08-26T20:30:36.3350880Z     cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1
2025-08-26T20:30:36.3351202Z     torch_np/test_ufuncs_basic 1/1
2025-08-26T20:30:36.3351413Z     test_out_dtype_op 1/1
2025-08-26T20:30:36.3351601Z     test_ops_gradients 1/2
2025-08-26T20:30:36.3351796Z     test_ops_gradients 2/2
2025-08-26T20:30:36.3351991Z     functorch/test_control_flow 2/2
2025-08-26T20:30:36.3352210Z     optim/test_lrscheduler 1/1
2025-08-26T20:30:36.3352414Z     test_quantization 3/4
2025-08-26T20:30:36.3352607Z Name: excluded (est. time: 0.0min)
2025-08-26T20:30:36.3352812Z   Serial tests (0):
2025-08-26T20:30:36.3352984Z   Parallel tests (0):
2025-08-26T20:30:36.3353257Z Running inductor/test_flex_attention 1/6 ... [2025-08-26 20:30:36.334054]
2025-08-26T20:30:36.3353568Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T20:30:36.3354331Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:30:36.334369]
2025-08-26T20:39:39.7328359Z 
2025-08-26T20:39:39.7329236Z inductor/test_flex_attention 1/6 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.6_483c56916d197287_.log
2025-08-26T20:39:39.7374615Z Running 122 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_GQA_score_mod3_cuda_float16, 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_automatic_dynamic_score_mod5_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_mod1_BLOCK_SIZE3_cuda_float16, 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_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_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_mod5_BLOCK_SIZE_128_cuda_float32, 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_mod6_BLOCK_SIZE2_cuda_bfloat16, 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_mod6_BLOCK_SIZE_256_cuda_float32, 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_different_seqlen_score_mod4_cuda_float16, 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_different_seqlen_score_mod7_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_dynamic_score_mask_mod2_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_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod4_cuda_float16, 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_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_captured_reduction_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_causal_block_paged_attention_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_device_cuda_1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_dynamic_divisibility_guards_cuda_float16, 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_inductor_permute_order1_shape1_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_order0_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_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_fw_bw_graph_correctness_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_inputs_are_realized_cuda, 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_dims1_head_dims0_score_mod4_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_batch_dims1_head_dims1_score_mod6_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_dims1_score_mod7_cuda_float16, 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_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_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_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_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod1_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_load_from_bias_head_seq_batch_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_logsumexp_correctness_score_mod0_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_mask_mod_combiners_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_multiple_mask_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_dims0_cuda_float32, 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_equal_head_dims_score_mod3_head_dims0_cuda_float32, 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_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_dims1_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_dims1_cuda_bfloat16, 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_non_pow_2_headdim_head_dim_17_cuda_float16, 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::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_s1_v_s1_do_s0_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_allocate_cuda, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod1_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_mod3_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::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod6_cuda_float32, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_backward_error_with_none_q_indices_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_mask_device_change_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_mask_viz_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_size_changes_BLOCK_SIZE_32_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_size_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::TestBlockMaskCUDA::test_init_mismatched_full_kv_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_absolute_2d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cuda, 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2025-08-26T20:39:39.7417508Z 
2025-08-26T20:39:40.2042376Z Uploading artifacts took 0.47 seconds
2025-08-26T20:39:40.2045233Z Running inductor/test_flex_attention 2/6 ... [2025-08-26 20:39:40.204270]
2025-08-26T20:39:40.2045664Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T20:39:40.2048693Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=2', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:40.204635]
2025-08-26T20:49:11.4639836Z 
2025-08-26T20:49:11.4641023Z inductor/test_flex_attention 2/6 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_2.6_6ca30f43f58d57c4_.log
2025-08-26T20:49:11.4690737Z Running 129 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_causal_mask_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_block_mask_non_divisible_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_128_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_256_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE2_cuda_float32, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_cuda
2025-08-26T20:49:11.4736865Z 
2025-08-26T20:49:11.4737059Z Running inductor/test_flex_attention 3/6 ... [2025-08-26 20:49:11.464270]
2025-08-26T20:49:11.4737395Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T20:49:11.4738146Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=3', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:49:11.464655]
2025-08-26T20:57:28.5127804Z 
2025-08-26T20:57:28.5130244Z inductor/test_flex_attention 3/6 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_3.6_006ef83ecdde7986_.log
2025-08-26T20:57:28.5169563Z Running 106 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_automatic_dynamic_score_mod2_cuda_float16, 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_mod0_BLOCK_SIZE_256_cuda_bfloat16, 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_mod2_BLOCK_SIZE2_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_mod2_BLOCK_SIZE3_cuda_float32, 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_mod4_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_128_cuda_float16, 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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_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
2025-08-26T20:57:28.5206901Z 
2025-08-26T20:57:28.5207074Z Running inductor/test_flex_attention 4/6 ... [2025-08-26 20:57:28.512174]
2025-08-26T20:57:28.5207401Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T20:57:28.5208165Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=4', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:57:28.512520]
2025-08-26T21:05:23.1435752Z 
2025-08-26T21:05:23.1436634Z inductor/test_flex_attention 4/6 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_4.6_6df616a2632e65fe_.log
2025-08-26T21:05:23.1475061Z Running 106 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_aot_eager_gradcheck_score_mod2_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE3_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_256_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE2_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_128_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_256_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_256_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_128_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_256_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE2_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE3_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_256_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE3_cuda_float16, 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test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod0_cuda_float16, 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test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_multiple_score_mod_calls_paged_attention_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_njt_causal_cuda_bfloat16, 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test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s1_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_s2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_symbol_closure_in_score_mod_cuda, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_convert_logical_block_mask_cuda, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod0_cuda_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod7_cuda_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_update_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_size_changes_BLOCK_SIZE4_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_size_changes_BLOCK_SIZE_256_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_block_size_changes_BLOCK_SIZE_64_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_eager_tracing_correctness_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_batch_head_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_global_tokens_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_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:float16_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_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_indirect_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_multiplicative_bias_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: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:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_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_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_only_grad_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:256_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cuda
2025-08-26T21:05:23.1512415Z 
2025-08-26T21:05:23.4492149Z Uploading artifacts took 0.31 seconds
2025-08-26T21:05:23.4494559Z Running inductor/test_flex_attention 5/6 ... [2025-08-26 21:05:23.449256]
2025-08-26T21:05:23.4495008Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:05:23.4497912Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=5', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:05:23.449552]
2025-08-26T21:14:31.0524925Z 
2025-08-26T21:14:31.0529924Z inductor/test_flex_attention 5/6 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_5.6_f0b9f0b8476ea993_.log
2025-08-26T21:14:31.0576533Z Running 129 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_mod5_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_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_SIZE2_cuda_bfloat16, 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_mod2_BLOCK_SIZE_256_cuda_float32, 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_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_mod5_BLOCK_SIZE3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_128_cuda_bfloat16, 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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:256_headdim:16_dtype:bfloat16_mode_default_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, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:bfloat16_mode_default_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:float16_cuda
2025-08-26T21:14:31.0622172Z 
2025-08-26T21:14:31.0622340Z Running inductor/test_flex_attention 6/6 ... [2025-08-26 21:14:31.052870]
2025-08-26T21:14:31.0622669Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:14:31.0623452Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=6', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:14:31.053213]
2025-08-26T21:24:06.3480249Z 
2025-08-26T21:24:06.3481039Z inductor/test_flex_attention 6/6 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_6.6_30ae1538ae8d7934_.log
2025-08-26T21:24:06.3529069Z Running 134 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_GQA_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_aot_eager_gradcheck_score_mod1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_aot_eager_gradcheck_score_mod3_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_aot_eager_gradcheck_score_mod4_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_aot_eager_gradcheck_score_mod5_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_autograd_function_in_score_mod_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_automatic_dynamic_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_256_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE3_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_128_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_256_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_128_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_128_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_256_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE3_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_256_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_128_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE3_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_different_seqlen_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_dynamic_score_mask_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_dynamic_score_mask_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod0_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod5_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_score_mod7_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_cant_lower_error_message_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_captured_buffers_all_dims_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_captured_score_mod_aot_eager_gradcheck_score_mod_name__head_offset_mode_aot_eager_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_captured_wrong_device_error_message_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_dependent_causal_bidirectional_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order1_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_eager_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order0_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_fully_masked_out_rows_0_check_compile_False_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_function_composition_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_index_weird1_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod7_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod6_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_load_from_view_buffer_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_logsumexp_correctness_score_mod1_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_logsumexp_only_return_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_lse_masked_output_backend_flex_decode_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_max_autotune_with_captured_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_mixed_device_error_message_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_mixed_dtypes_fails_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_multiple_score_mod_calls2_paged_attention_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_new_empty_mask_mod_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_njt_causal_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod4_head_dims1_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod4_head_dims1_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod5_head_dims0_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod5_head_dims1_cuda_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_non_equal_head_dims_score_mod6_head_dims1_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_selective_ac_ops_to_save0_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_skip_odd_keys_cuda_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_small_block_mask_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s0_k_s3_v_s3_do_s2_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_strided_inputs_q_s1_k_s1_v_s1_do_s1_cuda_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_tma_with_customer_kernel_options_cuda, test/inductor/test_flex_attention.py::TestFlexAttentionCUDA::test_validate_small_embedding_size_error_message_cuda, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod1_cuda_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod3_cuda_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod4_cuda_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCUDA::test_paged_builtin_score_mods_score_mod5_cuda_float16, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_doc_mask_clamped_repro_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_forward_pass_with_none_q_indices_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_from_kv_blocks_without_q_computation_full_indices_False_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_getitem_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_init_mismatched_full_q_cuda, test/inductor/test_flex_attention.py::TestBlockMaskCUDA::test_upcast_appropriately_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_batch_head_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_batch_head_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_comparison_vs_sdpa_with_learnable_bias_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_distinct_biases_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_distinct_biases_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:277_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:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_distinct_biases_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_flipped_indexed_bias_batch:2_head:4_seq_len:37_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:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_global_tokens_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_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:256_headdim:16_dtype:bfloat16_mode_max-autotune-no-cudagraphs_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_head_specific_gate_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_head_specific_gate_batch:2_head:4_seq_len:277_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:float16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_indirect_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_learnable_bias_global_compiled_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_local_window_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:256_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:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_batch:2_head:4_seq_len:277_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: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:277_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_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:37_headdim:16_dtype:float16_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_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:float32_mode_default_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_symmetric_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_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:bfloat16_cuda, test/inductor/test_flex_attention.py::TestLearnableBiasesCUDA::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cuda
2025-08-26T21:24:06.3576981Z 
2025-08-26T21:24:06.3577131Z Running test_ci_sanity_check_fail 1/1 ... [2025-08-26 21:24:06.347641]
2025-08-26T21:24:06.3577435Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:24:06.3578174Z 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 21:24:06.348004]
2025-08-26T21:24:20.7913493Z Running doctests 1/1 ... [2025-08-26 21:24:20.790928]
2025-08-26T21:24:20.8244219Z Start doctest_module('/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch')
2025-08-26T21:24:20.8244699Z Listing tests
2025-08-26T21:24:21.2398594Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=375.
2025-08-26T21:24:21.2399428Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:21.2399982Z Registers the function implementation as the fallback for the given key.
2025-08-26T21:24:21.2400295Z 
2025-08-26T21:24:21.2400497Z         This function only works for a library with global namespace ("_").
2025-08-26T21:24:21.2400777Z 
2025-08-26T21:24:21.2400857Z         Args:
2025-08-26T21:24:21.2401221Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-08-26T21:24:21.2401665Z                 to register a fallthrough.
2025-08-26T21:24:21.2402494Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-08-26T21:24:21.2403015Z                           the dispatch key that the library was created with.
2025-08-26T21:24:21.2403593Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-08-26T21:24:21.2404454Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-08-26T21:24:21.2404832Z 
2025-08-26T21:24:21.2404955Z         Example::
2025-08-26T21:24:21.2405084Z 
2025-08-26T21:24:21.2405191Z             >>> my_lib = Library("_", "IMPL")
2025-08-26T21:24:21.2405511Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-08-26T21:24:21.2405836Z             >>>     # Handle all autocast ops generically
2025-08-26T21:24:21.2406119Z             >>>     # ...
2025-08-26T21:24:21.2406384Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-08-26T21:24:21.2406678Z         
2025-08-26T21:24:21.2407315Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-08-26T21:24:21.2407930Z 
2025-08-26T21:24:21.2408052Z my_lib.fallback(fallback_kernel, "Autocast")
2025-08-26T21:24:21.2408329Z ^
2025-08-26T21:24:21.2518616Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=948.
2025-08-26T21:24:21.2519366Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:21.2519877Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-08-26T21:24:21.2520174Z 
2025-08-26T21:24:21.2520330Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-08-26T21:24:21.2520580Z 
2025-08-26T21:24:21.2520787Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-08-26T21:24:21.2521292Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-08-26T21:24:21.2521772Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-08-26T21:24:21.2522193Z     what the properties of the output Tensors are.
2025-08-26T21:24:21.2522413Z 
2025-08-26T21:24:21.2522612Z     The FakeTensor implementation has the same signature as the operator.
2025-08-26T21:24:21.2523081Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-08-26T21:24:21.2523534Z     implementation, assume that all Tensor inputs to the operator are
2025-08-26T21:24:21.2523990Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-08-26T21:24:21.2524424Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-08-26T21:24:21.2524891Z     The FakeTensor implementation must consist of only PyTorch operations
2025-08-26T21:24:21.2525349Z     (and may not directly access the storage or data of any input or
2025-08-26T21:24:21.2525714Z     intermediate Tensors).
2025-08-26T21:24:21.2525877Z 
2025-08-26T21:24:21.2526024Z     This API may be used as a decorator (see examples).
2025-08-26T21:24:21.2526247Z 
2025-08-26T21:24:21.2526375Z     For a detailed guide on custom ops, please see
2025-08-26T21:24:21.2526812Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-08-26T21:24:21.2527111Z 
2025-08-26T21:24:21.2527187Z     Args:
2025-08-26T21:24:21.2527487Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-08-26T21:24:21.2527870Z         func: Fake tensor implementation.
2025-08-26T21:24:21.2528234Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-08-26T21:24:21.2528658Z         allow_override: Flag controlling if we want to override an
2025-08-26T21:24:21.2529067Z                         existing registered fake impl. This is by default off,
2025-08-26T21:24:21.2529471Z                         and will error you're trying to register a fake impl to
2025-08-26T21:24:21.2529998Z                         an operator that already has a fake impl. This also only
2025-08-26T21:24:21.2530323Z                         applies if the custom operator was not created via
2025-08-26T21:24:21.2530643Z                         torch.library.custom_op, as overriding and existing fake
2025-08-26T21:24:21.2531028Z                         impl is already allowed.
2025-08-26T21:24:21.2531179Z 
2025-08-26T21:24:21.2531248Z     Examples:
2025-08-26T21:24:21.2531405Z         >>> import torch
2025-08-26T21:24:21.2531596Z         >>> import numpy as np
2025-08-26T21:24:21.2531801Z         >>> from torch import Tensor
2025-08-26T21:24:21.2531995Z         >>>
2025-08-26T21:24:21.2532227Z         >>> # Example 1: an operator without data-dependent output shape
2025-08-26T21:24:21.2532587Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-08-26T21:24:21.2532969Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-26T21:24:21.2533331Z         >>>     raise NotImplementedError("Implementation goes here")
2025-08-26T21:24:21.2533585Z         >>>
2025-08-26T21:24:21.2533790Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-08-26T21:24:21.2534079Z         >>> def _(x, weight, bias):
2025-08-26T21:24:21.2534295Z         >>>     assert x.dim() == 2
2025-08-26T21:24:21.2534512Z         >>>     assert weight.dim() == 2
2025-08-26T21:24:21.2534735Z         >>>     assert bias.dim() == 1
2025-08-26T21:24:21.2534983Z         >>>     assert x.shape[1] == weight.shape[1]
2025-08-26T21:24:21.2535242Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-08-26T21:24:21.2535498Z         >>>     assert x.device == weight.device
2025-08-26T21:24:21.2535717Z         >>>
2025-08-26T21:24:21.2535887Z         >>>     return (x @ weight.t()) + bias
2025-08-26T21:24:21.2536096Z         >>>
2025-08-26T21:24:21.2536311Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-08-26T21:24:21.2536582Z         >>>     x = torch.randn(2, 3)
2025-08-26T21:24:21.2536799Z         >>>     w = torch.randn(3, 3)
2025-08-26T21:24:21.2537001Z         >>>     b = torch.randn(3)
2025-08-26T21:24:21.2537234Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-08-26T21:24:21.2537471Z         >>>
2025-08-26T21:24:21.2537628Z         >>> assert y.shape == (2, 3)
2025-08-26T21:24:21.2537818Z         >>>
2025-08-26T21:24:21.2538038Z         >>> # Example 2: an operator with data-dependent output shape
2025-08-26T21:24:21.2538389Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-08-26T21:24:21.2538707Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-08-26T21:24:21.2538947Z         >>>     x_np = x.numpy(force=True)
2025-08-26T21:24:21.2539186Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-26T21:24:21.2539446Z         >>>     return torch.tensor(res, device=x.device)
2025-08-26T21:24:21.2539679Z         >>>
2025-08-26T21:24:21.2539892Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-08-26T21:24:21.2540158Z         >>> def _(x):
2025-08-26T21:24:21.2540387Z         >>> # Number of nonzero-elements is data-dependent.
2025-08-26T21:24:21.2540675Z         >>> # Since we cannot peek at the data in an fake impl,
2025-08-26T21:24:21.2540972Z         >>> # we use the ctx object to construct a new symint that
2025-08-26T21:24:21.2541245Z         >>> # represents the data-dependent size.
2025-08-26T21:24:21.2541496Z         >>>     ctx = torch.library.get_ctx()
2025-08-26T21:24:21.2541733Z         >>>     nnz = ctx.new_dynamic_size()
2025-08-26T21:24:21.2541962Z         >>>     shape = [nnz, x.dim()]
2025-08-26T21:24:21.2542207Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-26T21:24:21.2542458Z         >>>     return result
2025-08-26T21:24:21.2542648Z         >>>
2025-08-26T21:24:21.2543073Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-08-26T21:24:21.2543352Z         >>>
2025-08-26T21:24:21.2543528Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-08-26T21:24:21.2543975Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-08-26T21:24:21.2544319Z         >>> trace.print_readable()
2025-08-26T21:24:21.2544527Z         >>>
2025-08-26T21:24:21.2544867Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-08-26T21:24:21.2545110Z 
2025-08-26T21:24:21.2545168Z     
2025-08-26T21:24:21.2545609Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-08-26T21:24:21.2546034Z 
2025-08-26T21:24:21.2546102Z _._ = None
2025-08-26T21:24:21.2546244Z ^
2025-08-26T21:24:21.2639430Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1482.
2025-08-26T21:24:21.2640196Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:21.2640700Z Returns the computed kernel for a given operator and dispatch key.
2025-08-26T21:24:21.2640988Z 
2025-08-26T21:24:21.2641190Z     This function retrieves the kernel that would be executed for a given
2025-08-26T21:24:21.2641679Z     operator and dispatch key combination. The returned SafeKernelFunction
2025-08-26T21:24:21.2642146Z     can be used to call the kernel in a boxed fashion. The intended use
2025-08-26T21:24:21.2642590Z     case for this function is to retrieve the original kernel for a given
2025-08-26T21:24:21.2643262Z     dispatch key and then register another kernel to the same dispatch key
2025-08-26T21:24:21.2643706Z     that calls into the original kernel for certain cases.
2025-08-26T21:24:21.2643942Z 
2025-08-26T21:24:21.2644018Z     Args:
2025-08-26T21:24:21.2644301Z         op: Operator name (along with the overload) or OpOverload object
2025-08-26T21:24:21.2644766Z             Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-08-26T21:24:21.2645301Z         dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-08-26T21:24:21.2645782Z             Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-08-26T21:24:21.2646038Z 
2025-08-26T21:24:21.2646114Z     Returns:
2025-08-26T21:24:21.2646452Z         torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-08-26T21:24:21.2646838Z             call the kernel.
2025-08-26T21:24:21.2646995Z 
2025-08-26T21:24:21.2647074Z     Raises:
2025-08-26T21:24:21.2647302Z         RuntimeError: If the operator does not exist.
2025-08-26T21:24:21.2647525Z 
2025-08-26T21:24:21.2647600Z     Example:
2025-08-26T21:24:21.2647816Z         >>> # Get the CPU kernel for torch.add
2025-08-26T21:24:21.2648182Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-08-26T21:24:21.2648516Z         >>>
2025-08-26T21:24:21.2648722Z         >>> # You can also use DispatchKey enum
2025-08-26T21:24:21.2649140Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-08-26T21:24:21.2649550Z         >>>
2025-08-26T21:24:21.2649758Z         >>> # Or use an OpOverload directly
2025-08-26T21:24:21.2650138Z         >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-08-26T21:24:21.2650434Z         >>>
2025-08-26T21:24:21.2650666Z         >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-08-26T21:24:21.2650975Z         >>> # Get the original kernel for torch.sin
2025-08-26T21:24:21.2651280Z         >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-08-26T21:24:21.2651565Z         >>>
2025-08-26T21:24:21.2651804Z         >>> # If input has negative values, use original sin, otherwise return zeros
2025-08-26T21:24:21.2652134Z         >>> def conditional_sin_impl(dispatch_keys, x):
2025-08-26T21:24:21.2652375Z         >>>     if (x < 0).any():
2025-08-26T21:24:21.2652631Z         >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-08-26T21:24:21.2652909Z         >>>     else:
2025-08-26T21:24:21.2653224Z         >>>         return torch.zeros_like(x)
2025-08-26T21:24:21.2653455Z         >>>
2025-08-26T21:24:21.2653631Z         >>> lib = torch.library.Library("aten", "IMPL")
2025-08-26T21:24:21.2654093Z         >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-08-26T21:24:21.2654499Z         >>> which needs to be the first argument to ``kernel.call_boxed``
2025-08-26T21:24:21.2654839Z         >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-08-26T21:24:21.2655104Z         >>>
2025-08-26T21:24:21.2655272Z         >>> # Test the conditional behavior
2025-08-26T21:24:21.2655518Z         >>> x_positive = torch.tensor([1.0, 2.0])
2025-08-26T21:24:21.2655760Z         >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-08-26T21:24:21.2655985Z         >>> torch.sin(x_positive)
2025-08-26T21:24:21.2656194Z         tensor([0., 0.])
2025-08-26T21:24:21.2656388Z         >>> torch.sin(x_mixed)
2025-08-26T21:24:21.2656595Z         tensor([-0.8415, 0.9093])
2025-08-26T21:24:21.2656791Z     
2025-08-26T21:24:21.2657206Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-08-26T21:24:21.2657616Z 
2025-08-26T21:24:21.2657739Z which needs to be the first argument to ``kernel.call_boxed``
2025-08-26T21:24:21.2658005Z       ^
2025-08-26T21:24:21.3929568Z 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.
2025-08-26T21:24:21.3930346Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:21.3930875Z Check if the current accelerator is available at runtime: it was build, all the
2025-08-26T21:24:21.3931374Z     required drivers are available and at least one device is visible.
2025-08-26T21:24:21.3931785Z     See :ref:`accelerator<accelerators>` for details.
2025-08-26T21:24:21.3932005Z 
2025-08-26T21:24:21.3932086Z     Returns:
2025-08-26T21:24:21.3932452Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-08-26T21:24:21.3932804Z 
2025-08-26T21:24:21.3933029Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-08-26T21:24:21.3933564Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-08-26T21:24:21.3934100Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-08-26T21:24:21.3934547Z         :ref:`multiprocessing-poison-fork-note`.
2025-08-26T21:24:21.3934765Z 
2025-08-26T21:24:21.3934845Z     Example::
2025-08-26T21:24:21.3934967Z 
2025-08-26T21:24:21.3935203Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T21:24:21.3935601Z     
2025-08-26T21:24:21.3936170Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-08-26T21:24:21.3936733Z 
2025-08-26T21:24:21.3936967Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T21:24:21.3937365Z                                         ^
2025-08-26T21:24:21.3952118Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=212.
2025-08-26T21:24:21.3952865Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:21.3953361Z Wait for all kernels in all streams on the given device to complete.
2025-08-26T21:24:21.3953631Z 
2025-08-26T21:24:21.3953714Z     Args:
2025-08-26T21:24:21.3954083Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-08-26T21:24:21.3954647Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-08-26T21:24:21.3955110Z             use :func:`torch.accelerator.current_device_index` by default.
2025-08-26T21:24:21.3955371Z 
2025-08-26T21:24:21.3955947Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-08-26T21:24:21.3956324Z 
2025-08-26T21:24:21.3956411Z     Example::
2025-08-26T21:24:21.3956645Z 
2025-08-26T21:24:21.3956771Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-26T21:24:21.3957214Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T21:24:21.3957679Z         >>> start_event = torch.Event(enable_timing=True)
2025-08-26T21:24:21.3958013Z         >>> end_event = torch.Event(enable_timing=True)
2025-08-26T21:24:21.3958319Z         >>> start_event.record()
2025-08-26T21:24:21.3958690Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-08-26T21:24:21.3959086Z         >>> sum = torch.sum(tensor)
2025-08-26T21:24:21.3959350Z         >>> end_event.record()
2025-08-26T21:24:21.3959624Z         >>> torch.accelerator.synchronize()
2025-08-26T21:24:21.3959983Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-08-26T21:24:21.3960280Z     
2025-08-26T21:24:21.3960745Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-08-26T21:24:21.3961196Z 
2025-08-26T21:24:21.3961382Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T21:24:21.3961711Z                                         ^
2025-08-26T21:24:21.4187369Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=434.
2025-08-26T21:24:21.4188161Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:21.4188578Z Retrieves the CUDA runtime API module.
2025-08-26T21:24:21.4188768Z 
2025-08-26T21:24:21.4188793Z 
2025-08-26T21:24:21.4189011Z     This function initializes the CUDA runtime environment if it is not already
2025-08-26T21:24:21.4189529Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-08-26T21:24:21.4190021Z     runtime API module provides access to various CUDA runtime functions.
2025-08-26T21:24:21.4190312Z 
2025-08-26T21:24:21.4190387Z     Args:
2025-08-26T21:24:21.4190583Z         ``None``
2025-08-26T21:24:21.4190707Z 
2025-08-26T21:24:21.4190788Z     Returns:
2025-08-26T21:24:21.4191031Z         module: The CUDA runtime API module (_cudart).
2025-08-26T21:24:21.4191247Z 
2025-08-26T21:24:21.4191322Z     Raises:
2025-08-26T21:24:21.4191635Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-08-26T21:24:21.4192243Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-08-26T21:24:21.4192637Z 
2025-08-26T21:24:21.4192762Z     Example of CUDA operations with profiling:
2025-08-26T21:24:21.4193054Z         >>> import torch
2025-08-26T21:24:21.4193308Z         >>> from torch.cuda import cudart, check_error
2025-08-26T21:24:21.4193600Z         >>> import os
2025-08-26T21:24:21.4193805Z         >>>
2025-08-26T21:24:21.4194015Z         >>> os.environ["CUDA_PROFILE"] = "1"
2025-08-26T21:24:21.4194271Z         >>>
2025-08-26T21:24:21.4194503Z         >>> def perform_cuda_operations_with_streams():
2025-08-26T21:24:21.4194816Z         >>>     stream = torch.cuda.Stream()
2025-08-26T21:24:21.4195112Z         >>>     with torch.cuda.stream(stream):
2025-08-26T21:24:21.4195417Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-08-26T21:24:21.4195833Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-08-26T21:24:21.4196133Z         >>>         z = torch.mul(x, y)
2025-08-26T21:24:21.4196393Z         >>>     return z
2025-08-26T21:24:21.4196599Z         >>>
2025-08-26T21:24:21.4196805Z         >>> torch.cuda.synchronize()
2025-08-26T21:24:21.4197112Z         >>> print("====== Start nsys profiling ======")
2025-08-26T21:24:21.4197448Z         >>> check_error(cudart().cudaProfilerStart())
2025-08-26T21:24:21.4197924Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-08-26T21:24:21.4198282Z         >>>     result = perform_cuda_operations_with_streams()
2025-08-26T21:24:21.4198626Z         >>>     print("CUDA operations completed.")
2025-08-26T21:24:21.4199078Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-08-26T21:24:21.4199415Z         >>> print("====== End nsys profiling ======")
2025-08-26T21:24:21.4199620Z 
2025-08-26T21:24:21.4199791Z     To run this example and save the profiling information, execute:
2025-08-26T21:24:21.4200313Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-26T21:24:21.4200633Z 
2025-08-26T21:24:21.4200809Z     This command profiles the CUDA operations in the provided script and saves
2025-08-26T21:24:21.4209509Z     the profiling information to a file named `trace_name.prof`.
2025-08-26T21:24:21.4209998Z     The `--profile-from-start off` option ensures that profiling starts only
2025-08-26T21:24:21.4210366Z     after the `cudaProfilerStart` call in the script.
2025-08-26T21:24:21.4210725Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-08-26T21:24:21.4211076Z     CSV file and print a summary, respectively.
2025-08-26T21:24:21.4211417Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-08-26T21:24:21.4211778Z     overwrite of the output file if it already exists.
2025-08-26T21:24:21.4212020Z     
2025-08-26T21:24:21.4212551Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-08-26T21:24:21.4213065Z 
2025-08-26T21:24:21.4213316Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-26T21:24:21.4213700Z ^
2025-08-26T21:24:22.5389002Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39.
2025-08-26T21:24:22.5389771Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:22.5390100Z 
2025-08-26T21:24:22.5390307Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-08-26T21:24:22.5390774Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-08-26T21:24:22.5391227Z pushes the map into PyTorch operations called by ``func``, effectively
2025-08-26T21:24:22.5391619Z vectorizing those operations.
2025-08-26T21:24:22.5391795Z 
2025-08-26T21:24:22.5391978Z vmap is useful for handling batch dimensions: one can write a function
2025-08-26T21:24:22.5392425Z ``func`` that runs on examples and then lift it to a function that can
2025-08-26T21:24:22.5392864Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-08-26T21:24:22.5393283Z compute batched gradients when composed with autograd.
2025-08-26T21:24:22.5393524Z 
2025-08-26T21:24:22.5393648Z .. note::
2025-08-26T21:24:22.5393929Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-08-26T21:24:22.5394293Z     convenience. Use whichever one you'd like.
2025-08-26T21:24:22.5394505Z 
2025-08-26T21:24:22.5394583Z Args:
2025-08-26T21:24:22.5394869Z     func (function): A Python function that takes one or more arguments.
2025-08-26T21:24:22.5395240Z         Must return one or more Tensors.
2025-08-26T21:24:22.5395586Z     in_dims (int or nested structure): Specifies which dimension of the
2025-08-26T21:24:22.5396129Z         inputs should be mapped over. ``in_dims`` should have a
2025-08-26T21:24:22.5396544Z         structure like the inputs. If the ``in_dim`` for a particular
2025-08-26T21:24:22.5396955Z         input is None, then that indicates there is no map dimension.
2025-08-26T21:24:22.5397276Z         Default: 0.
2025-08-26T21:24:22.5397560Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-08-26T21:24:22.5398348Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-08-26T21:24:22.5398757Z         it should have one element per output. Default: 0.
2025-08-26T21:24:22.5399149Z     randomness (str): Specifies whether the randomness in this
2025-08-26T21:24:22.5399717Z         vmap should be the same or different across batches. If 'different',
2025-08-26T21:24:22.5400160Z         the randomness for each batch will be different. If 'same', the
2025-08-26T21:24:22.5400514Z         randomness will be the same across batches. If 'error', any calls to
2025-08-26T21:24:22.5400893Z         random functions will error. Default: 'error'. WARNING: this flag
2025-08-26T21:24:22.5401254Z         only applies to random PyTorch operations and does not apply to
2025-08-26T21:24:22.5401556Z         Python's random module or numpy randomness.
2025-08-26T21:24:22.5401887Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-08-26T21:24:22.5402271Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-08-26T21:24:22.5402680Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-08-26T21:24:22.5403107Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-08-26T21:24:22.5403372Z 
2025-08-26T21:24:22.5403434Z Returns:
2025-08-26T21:24:22.5403654Z     Returns a new "batched" function. It takes the same inputs as
2025-08-26T21:24:22.5403985Z     ``func``, except each input has an extra dimension at the index
2025-08-26T21:24:22.5404315Z     specified by ``in_dims``. It takes returns the same outputs as
2025-08-26T21:24:22.5404640Z     ``func``, except each output has an extra dimension at the index
2025-08-26T21:24:22.5404915Z     specified by ``out_dims``.
2025-08-26T21:24:22.5405043Z 
2025-08-26T21:24:22.5405106Z .. warning:
2025-08-26T21:24:22.5405330Z     :func:`vmap` works best with functional-style code. Please do not
2025-08-26T21:24:22.5405663Z     perform any side-effects in ``func``, with the exception of
2025-08-26T21:24:22.5406034Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-08-26T21:24:22.5406423Z     Python data structures and assigning values to variables not captured
2025-08-26T21:24:22.5406722Z     in ``func``.
2025-08-26T21:24:22.5406818Z 
2025-08-26T21:24:22.5406977Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-08-26T21:24:22.5407359Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-08-26T21:24:22.5407731Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-08-26T21:24:22.5407951Z 
2025-08-26T21:24:22.5408053Z     >>> torch.dot  # [D], [D] -> []
2025-08-26T21:24:22.5408333Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-08-26T21:24:22.5408632Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-26T21:24:22.5408862Z     >>> batched_dot(x, y)
2025-08-26T21:24:22.5408984Z 
2025-08-26T21:24:22.5409144Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-08-26T21:24:22.5409447Z model authoring experience.
2025-08-26T21:24:22.5409573Z 
2025-08-26T21:24:22.5409656Z     >>> batch_size, feature_size = 3, 5
2025-08-26T21:24:22.5409923Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-26T21:24:22.5410194Z     >>>
2025-08-26T21:24:22.5410348Z     >>> def model(feature_vec):
2025-08-26T21:24:22.5410571Z     >>> # Very simple linear model with activation
2025-08-26T21:24:22.5410815Z     >>>     return feature_vec.dot(weights).relu()
2025-08-26T21:24:22.5411032Z     >>>
2025-08-26T21:24:22.5411222Z     >>> examples = torch.randn(batch_size, feature_size)
2025-08-26T21:24:22.5411482Z     >>> result = torch.vmap(model)(examples)
2025-08-26T21:24:22.5411635Z 
2025-08-26T21:24:22.5411807Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-08-26T21:24:22.5412219Z or impossible to batch. One example is higher-order gradient computation.
2025-08-26T21:24:22.5412698Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-08-26T21:24:22.5413117Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-08-26T21:24:22.5413524Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-08-26T21:24:22.5414011Z we can vectorize the whole computation, computing the Jacobian in a single
2025-08-26T21:24:22.5414319Z call to ``autograd.grad``.
2025-08-26T21:24:22.5414447Z 
2025-08-26T21:24:22.5414511Z     >>> # Setup
2025-08-26T21:24:22.5414674Z     >>> N = 5
2025-08-26T21:24:22.5414831Z     >>> f = lambda x: x**2
2025-08-26T21:24:22.5415029Z     >>> x = torch.randn(N, requires_grad=True)
2025-08-26T21:24:22.5415246Z     >>> y = f(x)
2025-08-26T21:24:22.5415414Z     >>> I_N = torch.eye(N)
2025-08-26T21:24:22.5415589Z     >>>
2025-08-26T21:24:22.5415739Z     >>> # Sequential approach
2025-08-26T21:24:22.5416020Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-08-26T21:24:22.5416332Z     >>>                  for v in I_N.unbind()]
2025-08-26T21:24:22.5416571Z     >>> jacobian = torch.stack(jacobian_rows)
2025-08-26T21:24:22.5416780Z     >>>
2025-08-26T21:24:22.5416954Z     >>> # vectorized gradient computation
2025-08-26T21:24:22.5417183Z     >>> def get_vjp(v):
2025-08-26T21:24:22.5417376Z     >>>     return torch.autograd.grad(y, x, v)
2025-08-26T21:24:22.5417611Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-08-26T21:24:22.5417770Z 
2025-08-26T21:24:22.5417955Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-08-26T21:24:22.5418215Z 
2025-08-26T21:24:22.5418290Z     >>> torch.dot  # [D], [D] -> []
2025-08-26T21:24:22.5418500Z     >>> batched_dot = torch.vmap(
2025-08-26T21:24:22.5418718Z     ...     torch.vmap(torch.dot)
2025-08-26T21:24:22.5418937Z     ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-08-26T21:24:22.5419192Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-08-26T21:24:22.5419455Z     >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-08-26T21:24:22.5419616Z 
2025-08-26T21:24:22.5419781Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-08-26T21:24:22.5420122Z the dimension that each inputs are batched along as
2025-08-26T21:24:22.5420310Z 
2025-08-26T21:24:22.5420393Z     >>> torch.dot  # [N], [N] -> []
2025-08-26T21:24:22.5420679Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-08-26T21:24:22.5420992Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-26T21:24:22.5421208Z     >>> batched_dot(
2025-08-26T21:24:22.5421378Z     ...     x, y
2025-08-26T21:24:22.5421607Z     ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-08-26T21:24:22.5421816Z 
2025-08-26T21:24:22.5421997Z If there are multiple inputs each of which is batched along different dimensions,
2025-08-26T21:24:22.5422385Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-08-26T21:24:22.5422597Z 
2025-08-26T21:24:22.5422677Z     >>> torch.dot  # [D], [D] -> []
2025-08-26T21:24:22.5422983Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-08-26T21:24:22.5423305Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-26T21:24:22.5423529Z     >>> batched_dot(
2025-08-26T21:24:22.5423686Z     ...     x, y
2025-08-26T21:24:22.5423912Z     ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-08-26T21:24:22.5424123Z 
2025-08-26T21:24:22.5424283Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-08-26T21:24:22.5424605Z matching the shape of the input:
2025-08-26T21:24:22.5424744Z 
2025-08-26T21:24:22.5424853Z     >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-08-26T21:24:22.5425103Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-26T21:24:22.5425334Z     >>> input = {"x": x, "y": y}
2025-08-26T21:24:22.5425581Z     >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-08-26T21:24:22.5425852Z     >>> batched_dot(input)
2025-08-26T21:24:22.5426050Z 
2025-08-26T21:24:22.5426243Z By default, the output is batched along the first dimension. However, it can be batched
2025-08-26T21:24:22.5426597Z along any dimension by using ``out_dims``
2025-08-26T21:24:22.5426819Z 
2025-08-26T21:24:22.5426885Z     >>> f = lambda x: x**2
2025-08-26T21:24:22.5427070Z     >>> x = torch.randn(2, 5)
2025-08-26T21:24:22.5427278Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-08-26T21:24:22.5427524Z     >>> batched_pow(x)  # [5, 2]
2025-08-26T21:24:22.5427664Z 
2025-08-26T21:24:22.5427860Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-08-26T21:24:22.5428201Z accept kwargs
2025-08-26T21:24:22.5428292Z 
2025-08-26T21:24:22.5428365Z     >>> x = torch.randn([2, 5])
2025-08-26T21:24:22.5428555Z     >>> def fn(x, scale=4.):
2025-08-26T21:24:22.5428745Z     >>>   return x * scale
2025-08-26T21:24:22.5428913Z     >>>
2025-08-26T21:24:22.5429068Z     >>> batched_pow = torch.vmap(fn)
2025-08-26T21:24:22.5429318Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-08-26T21:24:22.5429648Z     >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-08-26T21:24:22.5429881Z 
2025-08-26T21:24:22.5429954Z .. note::
2025-08-26T21:24:22.5430193Z     vmap does not provide general autobatching or handle variable-length
2025-08-26T21:24:22.5430485Z     sequences out of the box.
2025-08-26T21:24:22.5430616Z 
2025-08-26T21:24:22.5430969Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-08-26T21:24:22.5431396Z 
2025-08-26T21:24:22.5431455Z _._ = None
2025-08-26T21:24:22.5431600Z ^
2025-08-26T21:24:22.5432017Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306.
2025-08-26T21:24:22.5432573Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:22.5432977Z ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-08-26T21:24:22.5433350Z     input(s) specified by ``argnums``. This operator can be nested to
2025-08-26T21:24:22.5433643Z     compute higher-order gradients.
2025-08-26T21:24:22.5433792Z 
2025-08-26T21:24:22.5433859Z     Args:
2025-08-26T21:24:22.5434083Z         func (Callable): A Python function that takes one or more arguments.
2025-08-26T21:24:22.5434486Z             Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-08-26T21:24:22.5434926Z             function can return a tuple of single-element Tensor and other auxiliary objects:
2025-08-26T21:24:22.5435271Z             ``(output, aux)``.
2025-08-26T21:24:22.5435587Z         argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-08-26T21:24:22.5436078Z             ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-08-26T21:24:22.5436457Z         has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-08-26T21:24:22.5436797Z             auxiliary objects: ``(output, aux)``. Default: False.
2025-08-26T21:24:22.5436986Z 
2025-08-26T21:24:22.5437053Z     Returns:
2025-08-26T21:24:22.5437338Z         Function to compute gradients with respect to its inputs. By default, the output of
2025-08-26T21:24:22.5437762Z         the function is the gradient tensor(s) with respect to the first argument.
2025-08-26T21:24:22.5438183Z         If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-08-26T21:24:22.5438616Z         is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-08-26T21:24:22.5438965Z         respect to each ``argnums`` value is returned.
2025-08-26T21:24:22.5439134Z 
2025-08-26T21:24:22.5439218Z     Example of using ``grad``:
2025-08-26T21:24:22.5439359Z 
2025-08-26T21:24:22.5439432Z         >>> # xdoctest: +SKIP
2025-08-26T21:24:22.5439638Z         >>> from torch.func import grad
2025-08-26T21:24:22.5439951Z         >>> x = torch.randn([])
2025-08-26T21:24:22.5440186Z         >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-08-26T21:24:22.5440439Z         >>> assert torch.allclose(cos_x, x.cos())
2025-08-26T21:24:22.5440755Z         >>>
2025-08-26T21:24:22.5440922Z         >>> # Second-order gradients
2025-08-26T21:24:22.5441167Z         >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-08-26T21:24:22.5441440Z         >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-08-26T21:24:22.5441616Z 
2025-08-26T21:24:22.5441791Z     When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-08-26T21:24:22.5442047Z 
2025-08-26T21:24:22.5442118Z         >>> # xdoctest: +SKIP
2025-08-26T21:24:22.5442325Z         >>> from torch.func import grad, vmap
2025-08-26T21:24:22.5442552Z         >>> batch_size, feature_size = 3, 5
2025-08-26T21:24:22.5442761Z         >>>
2025-08-26T21:24:22.5443262Z         >>> def model(weights, feature_vec):
2025-08-26T21:24:22.5443537Z         >>> # Very simple linear model with activation
2025-08-26T21:24:22.5443790Z         >>>     assert feature_vec.dim() == 1
2025-08-26T21:24:22.5444031Z         >>>     return feature_vec.dot(weights).relu()
2025-08-26T21:24:22.5444254Z         >>>
2025-08-26T21:24:22.5444437Z         >>> def compute_loss(weights, example, target):
2025-08-26T21:24:22.5444676Z         >>>     y = model(weights, example)
2025-08-26T21:24:22.5444924Z         >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-08-26T21:24:22.5445150Z         >>>
2025-08-26T21:24:22.5445366Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-26T21:24:22.5445668Z         >>> examples = torch.randn(batch_size, feature_size)
2025-08-26T21:24:22.5445932Z         >>> targets = torch.randn(batch_size)
2025-08-26T21:24:22.5446176Z         >>> inputs = (weights, examples, targets)
2025-08-26T21:24:22.5446505Z         >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-08-26T21:24:22.5446816Z         ...     *inputs
2025-08-26T21:24:22.5446982Z         ... )
2025-08-26T21:24:22.5447072Z 
2025-08-26T21:24:22.5447200Z     Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-08-26T21:24:22.5447402Z 
2025-08-26T21:24:22.5447477Z         >>> # xdoctest: +SKIP
2025-08-26T21:24:22.5447673Z         >>> from torch.func import grad
2025-08-26T21:24:22.5447900Z         >>> def my_loss_func(y, y_pred):
2025-08-26T21:24:22.5448144Z         >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-08-26T21:24:22.5448390Z         >>>    loss = loss_per_sample.mean()
2025-08-26T21:24:22.5448640Z         >>>    return loss, (y_pred, loss_per_sample)
2025-08-26T21:24:22.5448866Z         >>>
2025-08-26T21:24:22.5449056Z         >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-08-26T21:24:22.5449309Z         >>> y_true = torch.rand(4)
2025-08-26T21:24:22.5449530Z         >>> y_preds = torch.rand(4, requires_grad=True)
2025-08-26T21:24:22.5449772Z         >>> out = fn(y_true, y_preds)
2025-08-26T21:24:22.5450090Z         >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-08-26T21:24:22.5450347Z 
2025-08-26T21:24:22.5450569Z     .. note::
2025-08-26T21:24:22.5450787Z         Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-08-26T21:24:22.5450976Z 
2025-08-26T21:24:22.5451081Z         Case 1: Using ``torch.no_grad`` inside a function:
2025-08-26T21:24:22.5451260Z 
2025-08-26T21:24:22.5451330Z             >>> # xdoctest: +SKIP
2025-08-26T21:24:22.5451540Z             >>> def f(x):
2025-08-26T21:24:22.5451730Z             >>>     with torch.no_grad():
2025-08-26T21:24:22.5451937Z             >>>         c = x ** 2
2025-08-26T21:24:22.5452137Z             >>>     return x - c
2025-08-26T21:24:22.5452267Z 
2025-08-26T21:24:22.5452404Z         In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-08-26T21:24:22.5452619Z 
2025-08-26T21:24:22.5452754Z         Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-08-26T21:24:22.5453082Z 
2025-08-26T21:24:22.5453161Z             >>> # xdoctest: +SKIP
2025-08-26T21:24:22.5453363Z             >>> with torch.no_grad():
2025-08-26T21:24:22.5453569Z             >>>     grad(f)(x)
2025-08-26T21:24:22.5453791Z 
2025-08-26T21:24:22.5453952Z         In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-08-26T21:24:22.5454340Z         outer one. This is because ``grad`` is a "function transform": its result
2025-08-26T21:24:22.5454712Z         should not depend on the result of a context manager outside of ``f``.
2025-08-26T21:24:22.5454934Z 
2025-08-26T21:24:22.5454992Z     
2025-08-26T21:24:22.5455431Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-08-26T21:24:22.5455856Z 
2025-08-26T21:24:22.5455920Z _._ = None
2025-08-26T21:24:22.5456067Z ^
2025-08-26T21:24:24.6819414Z 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.
2025-08-26T21:24:24.6820287Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:24.6820770Z Register a FakeTensor implementation for this custom op.
2025-08-26T21:24:24.6821037Z 
2025-08-26T21:24:24.6821263Z         This is necessary to get the operator to work efficiently with torch.compile.
2025-08-26T21:24:24.6821529Z 
2025-08-26T21:24:24.6821691Z         The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-08-26T21:24:24.6822074Z         specifies the behavior of this operator on Tensors that carry no data.
2025-08-26T21:24:24.6822410Z         Given some input Tensors with certain properties
2025-08-26T21:24:24.6822768Z         (sizes/strides/storage_offset/device), it specifies what the properties of
2025-08-26T21:24:24.6823101Z         the output Tensors are.
2025-08-26T21:24:24.6823240Z 
2025-08-26T21:24:24.6823411Z         Please see :func:`torch.library.register_fake` for more details.
2025-08-26T21:24:24.6823638Z 
2025-08-26T21:24:24.6823706Z         Args:
2025-08-26T21:24:24.6823925Z             fn (Callable): The function to register as the FakeTensor
2025-08-26T21:24:24.6824197Z                 implementation.
2025-08-26T21:24:24.6824325Z 
2025-08-26T21:24:24.6824393Z         Examples:
2025-08-26T21:24:24.6824566Z             >>> import torch
2025-08-26T21:24:24.6824756Z             >>> import numpy as np
2025-08-26T21:24:24.6824974Z             >>> from torch import Tensor
2025-08-26T21:24:24.6825184Z             >>>
2025-08-26T21:24:24.6825414Z             >>> # Example 1: an operator without data-dependent output shape
2025-08-26T21:24:24.6825783Z             >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-08-26T21:24:24.6826129Z             >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-26T21:24:24.6826423Z             >>>     return (x @ weight.t()) + bias
2025-08-26T21:24:24.6826646Z             >>>
2025-08-26T21:24:24.6826816Z             >>> @linear.register_fake
2025-08-26T21:24:24.6827037Z             >>> def _(x, weight, bias):
2025-08-26T21:24:24.6827253Z             >>>     assert x.dim() == 2
2025-08-26T21:24:24.6827480Z             >>>     assert weight.dim() == 2
2025-08-26T21:24:24.6827702Z             >>>     assert bias.dim() == 1
2025-08-26T21:24:24.6827947Z             >>>     assert x.shape[1] == weight.shape[1]
2025-08-26T21:24:24.6828218Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-08-26T21:24:24.6828476Z             >>>     assert x.device == weight.device
2025-08-26T21:24:24.6828741Z             >>>     return x.new_empty(x.size(0), weight.size(0))
2025-08-26T21:24:24.6828975Z             >>>
2025-08-26T21:24:24.6829148Z             >>> x = torch.randn(2, 2)
2025-08-26T21:24:24.6829379Z             >>> weight = torch.randn(2, 2)
2025-08-26T21:24:24.6829608Z             >>> bias = torch.randn(2)
2025-08-26T21:24:24.6829843Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T21:24:24.6830467Z             >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-08-26T21:24:24.6830787Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T21:24:24.6831273Z             >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-08-26T21:24:24.6831578Z             >>>
2025-08-26T21:24:24.6831811Z             >>> # Example 2: an operator with data-dependent output shape
2025-08-26T21:24:24.6832178Z             >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-08-26T21:24:24.6832485Z             >>> def nonzero(x: Tensor) -> Tensor:
2025-08-26T21:24:24.6832721Z             >>>     x_np = x.cpu().numpy()
2025-08-26T21:24:24.6832968Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-26T21:24:24.6833240Z             >>>     return torch.tensor(res, device=x.device)
2025-08-26T21:24:24.6833470Z             >>>
2025-08-26T21:24:24.6833638Z             >>> @nonzero.register_fake
2025-08-26T21:24:24.6833877Z             >>> def _(x):
2025-08-26T21:24:24.6834114Z             >>> # Number of nonzero-elements is data-dependent.
2025-08-26T21:24:24.6834419Z             >>> # Since we cannot peek at the data in an abstract impl,
2025-08-26T21:24:24.6834727Z             >>> # we use the ctx object to construct a new symint that
2025-08-26T21:24:24.6835004Z             >>> # represents the data-dependent size.
2025-08-26T21:24:24.6835255Z             >>>     ctx = torch.library.get_ctx()
2025-08-26T21:24:24.6835498Z             >>>     nnz = ctx.new_dynamic_size()
2025-08-26T21:24:24.6835831Z             >>>     shape = [nnz, x.dim()]
2025-08-26T21:24:24.6836082Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-26T21:24:24.6836331Z             >>>     return result
2025-08-26T21:24:24.6836523Z             >>>
2025-08-26T21:24:24.6836705Z             >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-08-26T21:24:24.6836957Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T21:24:24.6837242Z             >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-08-26T21:24:24.6837527Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T21:24:24.6837800Z             >>> assert torch.allclose(out, x.nonzero())
2025-08-26T21:24:24.6837963Z 
2025-08-26T21:24:24.6838023Z         
2025-08-26T21:24:24.6838465Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-08-26T21:24:24.6838890Z 
2025-08-26T21:24:24.6838950Z _._ = None
2025-08-26T21:24:24.6839108Z ^
2025-08-26T21:24:24.6982545Z 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.
2025-08-26T21:24:24.6983419Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T21:24:24.6983740Z 
2025-08-26T21:24:24.6983951Z Registers a fake kernel based on the given operator profiles. This fake
2025-08-26T21:24:24.6984460Z kernel registration will override any existing fake kernel registrations.
2025-08-26T21:24:24.6984769Z 
2025-08-26T21:24:24.6984956Z The input is a dictionary mapping operator names to a set of operator
2025-08-26T21:24:24.6985437Z profiles, which we will use to generate fake kernels. The operator profiles
2025-08-26T21:24:24.6985902Z are a record of the input and output tensor metadata. Based on this
2025-08-26T21:24:24.6986361Z information we will match a given input to the recorded profile, and return
2025-08-26T21:24:24.6986844Z an output with the same metadata as in the recorded profile. If a profile
2025-08-26T21:24:24.6987251Z doesn't exist then an exception will be thrown.
2025-08-26T21:24:24.6987464Z 
2025-08-26T21:24:24.6987666Z The fake kernel generation is considered unsafe because it relies on the
2025-08-26T21:24:24.6988150Z rigid, pre-defined operator profiles that do not account for potential
2025-08-26T21:24:24.6988805Z variations in output behavior. Specifically, the generated kernels assume a
2025-08-26T21:24:24.6989334Z fixed relationship between input and output ranks. However, in reality, it's
2025-08-26T21:24:24.6989869Z possible that data-dependent operations may produce outputs of different
2025-08-26T21:24:24.6990465Z ranks even when given inputs of the same rank. The generated fake kernels
2025-08-26T21:24:24.6990922Z are inflexible and unable to accommodate these nuances, making them
2025-08-26T21:24:24.6991292Z potentially unsafe.
2025-08-26T21:24:24.6991409Z 
2025-08-26T21:24:24.6991468Z Args:
2025-08-26T21:24:24.6991702Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-08-26T21:24:24.6992058Z         name to a set of operator profiles from which we will generate fake
2025-08-26T21:24:24.6992343Z         kernels.
2025-08-26T21:24:24.6992449Z 
2025-08-26T21:24:24.6992513Z Examples:
2025-08-26T21:24:24.6992601Z 
2025-08-26T21:24:24.6992735Z     >>> # Example: Registering an op-profile from draft-export
2025-08-26T21:24:24.6992997Z     >>> import torch
2025-08-26T21:24:24.6993210Z     >>> from torch.export._draft_export import draft_export
2025-08-26T21:24:24.6993458Z     >>>
2025-08-26T21:24:24.6993675Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-08-26T21:24:24.6993973Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-08-26T21:24:24.6994197Z     >>>     return x + y
2025-08-26T21:24:24.6994374Z     >>>
2025-08-26T21:24:24.6994534Z     >>> class M(torch.nn.Module):
2025-08-26T21:24:24.6994743Z     >>>     def forward(self, a, b):
2025-08-26T21:24:24.6994983Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-08-26T21:24:24.6995224Z     >>>         return res
2025-08-26T21:24:24.6995398Z     >>>
2025-08-26T21:24:24.6995599Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-08-26T21:24:24.6995991Z     >>>
2025-08-26T21:24:24.6996281Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-08-26T21:24:24.6996662Z     >>>     decomp = ep.run_decompositions()
2025-08-26T21:24:24.6996817Z 
2025-08-26T21:24:24.6996821Z 
2025-08-26T21:24:24.6997150Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-08-26T21:24:24.6997554Z 
2025-08-26T21:24:25.1387445Z 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.
2025-08-26T21:24:25.1388491Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:25.1388818Z 
2025-08-26T21:24:25.1389057Z The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-08-26T21:24:25.1389580Z network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-08-26T21:24:25.1390101Z zeroes out the activations based on the mask_fn (or sparsification function)
2025-08-26T21:24:25.1390526Z input by the user.
2025-08-26T21:24:25.1390877Z The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-08-26T21:24:25.1391285Z mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-08-26T21:24:25.1391494Z 
2025-08-26T21:24:25.1391589Z Note::
2025-08-26T21:24:25.1391897Z     The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-08-26T21:24:25.1392187Z 
2025-08-26T21:24:25.1392252Z Args:
2025-08-26T21:24:25.1392398Z     model (nn.Module):
2025-08-26T21:24:25.1392662Z         The model whose layers will be sparsified. The layers that needs to be
2025-08-26T21:24:25.1393076Z         sparsified should be added separately using the register_layer() function
2025-08-26T21:24:25.1393402Z     aggregate_fn (Optional, Callable):
2025-08-26T21:24:25.1393726Z         default aggregate_fn that is used if not specified while registering the layer.
2025-08-26T21:24:25.1394088Z         specifies how inputs should be aggregated over time.
2025-08-26T21:24:25.1394763Z         The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-08-26T21:24:25.1395111Z         Example
2025-08-26T21:24:25.1395338Z             def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-08-26T21:24:25.1395888Z             reduce_fn (Optional, Callable):
2025-08-26T21:24:25.1396209Z                 default reduce_fn that is used if not specified while registering the layer.
2025-08-26T21:24:25.1396625Z                 reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-08-26T21:24:25.1396955Z                 calling agg_fn() on all inputs.
2025-08-26T21:24:25.1397169Z                 Example
2025-08-26T21:24:25.1397417Z             def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-08-26T21:24:25.1397707Z             mask_fn (Optional, Callable):
2025-08-26T21:24:25.1398066Z                 default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-08-26T21:24:25.1398538Z                 calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-08-26T21:24:25.1398856Z                 register_layer().
2025-08-26T21:24:25.1399231Z                 Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-08-26T21:24:25.1399629Z                 arguments.
2025-08-26T21:24:25.1399826Z             features (Optional, list):
2025-08-26T21:24:25.1400061Z                 default selected features to sparsify.
2025-08-26T21:24:25.1400408Z                 If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-08-26T21:24:25.1400745Z                 For example,
2025-08-26T21:24:25.1401046Z             mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-08-26T21:24:25.1401380Z             feature_dim (Optional, int):
2025-08-26T21:24:25.1401717Z                 default dimension of input features. Again, features along this dim will be chosen
2025-08-26T21:24:25.1402057Z                 for sparsification.
2025-08-26T21:24:25.1402279Z             sparse_config (Dict):
2025-08-26T21:24:25.1402571Z                 Default configuration for the mask_fn. This config will be passed
2025-08-26T21:24:25.1402875Z                 with the mask_fn()
2025-08-26T21:24:25.1403014Z 
2025-08-26T21:24:25.1403076Z Example:
2025-08-26T21:24:25.1403232Z     >>> # xdoctest: +SKIP
2025-08-26T21:24:25.1403422Z     >>> model = SomeModel()
2025-08-26T21:24:25.1403706Z     >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-08-26T21:24:25.1404021Z     >>> # Initialize aggregate_fn
2025-08-26T21:24:25.1404225Z     >>> def agg_fn(x, y):
2025-08-26T21:24:25.1404407Z     >>>     return x + y
2025-08-26T21:24:25.1404576Z     >>>
2025-08-26T21:24:25.1404738Z     >>> # Initialize reduce_fn
2025-08-26T21:24:25.1404931Z     >>> def reduce_fn(x):
2025-08-26T21:24:25.1405117Z     >>>     return torch.mean(x, dim=0)
2025-08-26T21:24:25.1405323Z     >>>
2025-08-26T21:24:25.1405478Z     >>> # Initialize mask_fn
2025-08-26T21:24:25.1405667Z     >>> def mask_fn(data):
2025-08-26T21:24:25.1405883Z     >>>     return torch.eye(data.shape).to(data.device)
2025-08-26T21:24:25.1406112Z     >>>
2025-08-26T21:24:25.1406248Z     >>>
2025-08-26T21:24:25.1406410Z     >>> act_sparsifier.register_layer(
2025-08-26T21:24:25.1406625Z     ...     model.some_layer,
2025-08-26T21:24:25.1406829Z     ...     aggregate_fn=agg_fn,
2025-08-26T21:24:25.1407027Z     ...     reduce_fn=reduce_fn,
2025-08-26T21:24:25.1407219Z     ...     mask_fn=mask_fn,
2025-08-26T21:24:25.1407397Z     ... )
2025-08-26T21:24:25.1407530Z     >>>
2025-08-26T21:24:25.1407682Z     >>> # start training process
2025-08-26T21:24:25.1407872Z     >>> for _ in [...]:
2025-08-26T21:24:25.1408047Z     >>> # epoch starts
2025-08-26T21:24:25.1408269Z     >>> # model.forward(), compute_loss() and model.backwards()
2025-08-26T21:24:25.1408525Z     >>> # epoch ends
2025-08-26T21:24:25.1408781Z     >>>     act_sparsifier.step()
2025-08-26T21:24:25.1408990Z     >>> # end training process
2025-08-26T21:24:25.1409186Z     >>> sparsifier.squash_mask()
2025-08-26T21:24:25.1409321Z 
2025-08-26T21:24:25.1409727Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-08-26T21:24:25.1410133Z 
2025-08-26T21:24:25.1410193Z _._ = None
2025-08-26T21:24:25.1410336Z ^
2025-08-26T21:24:25.6885929Z 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.
2025-08-26T21:24:25.6886814Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:25.6887129Z 
2025-08-26T21:24:25.6887380Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-08-26T21:24:25.6887937Z The submesh created consists of the dimensions and the communicators indicated by
2025-08-26T21:24:25.6888370Z ``mesh_dim_names``
2025-08-26T21:24:25.6888511Z 
2025-08-26T21:24:25.6888585Z Args:
2025-08-26T21:24:25.6888893Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-08-26T21:24:25.6889372Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-08-26T21:24:25.6889697Z Returns:
2025-08-26T21:24:25.6889916Z     A :class:`DeviceMesh` object
2025-08-26T21:24:25.6890098Z 
2025-08-26T21:24:25.6890356Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-08-26T21:24:25.6890788Z In the first example:
2025-08-26T21:24:25.6891153Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-08-26T21:24:25.6891700Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-08-26T21:24:25.6892105Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-08-26T21:24:25.6892498Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-08-26T21:24:25.6892869Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-08-26T21:24:25.6893231Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-08-26T21:24:25.6893464Z 
2025-08-26T21:24:25.6893537Z In the second example:
2025-08-26T21:24:25.6893839Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-08-26T21:24:25.6894275Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-08-26T21:24:25.6894693Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-08-26T21:24:25.6895104Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-08-26T21:24:25.6895352Z 
2025-08-26T21:24:25.6895446Z Example::
2025-08-26T21:24:25.6895538Z 
2025-08-26T21:24:25.6895618Z     >>> # xdoctest: +SKIP("no rank")
2025-08-26T21:24:25.6895889Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-08-26T21:24:25.6896143Z     >>>
2025-08-26T21:24:25.6896363Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-08-26T21:24:25.6896678Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-08-26T21:24:25.6897027Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-26T21:24:25.6897355Z     >>> tp_mesh = mesh_2d["tp"]
2025-08-26T21:24:25.6897556Z     >>> dp_mesh = mesh_2d["dp"]
2025-08-26T21:24:25.6897738Z     >>>
2025-08-26T21:24:25.6897888Z     >>> # Initialize a 3D mesh.
2025-08-26T21:24:25.6898206Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-08-26T21:24:25.6898679Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-08-26T21:24:25.6899385Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-08-26T21:24:25.6899633Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-08-26T21:24:25.6899777Z 
2025-08-26T21:24:25.6900242Z Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-08-26T21:24:25.6900903Z 
2025-08-26T21:24:25.6901084Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-26T21:24:25.6901422Z                                                                                  ^
2025-08-26T21:24:25.9439281Z 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.
2025-08-26T21:24:25.9440263Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:25.9440582Z 
2025-08-26T21:24:25.9440833Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-08-26T21:24:25.9441206Z 
2025-08-26T21:24:25.9441471Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-08-26T21:24:25.9441848Z 
2025-08-26T21:24:25.9442097Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-26T21:24:25.9442536Z will be visible to the whole process.
2025-08-26T21:24:25.9442724Z 
2025-08-26T21:24:25.9443168Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-08-26T21:24:25.9443514Z 
2025-08-26T21:24:25.9443626Z 1) set_up_planner - called on all ranks.
2025-08-26T21:24:25.9443941Z     Signals the start of a checkpoint save.
2025-08-26T21:24:25.9444140Z 
2025-08-26T21:24:25.9444253Z 2) create_local_plan - called on all ranks.
2025-08-26T21:24:25.9444693Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-08-26T21:24:25.9445038Z 
2025-08-26T21:24:25.9445202Z 3) create_global_plan - called on the coordinator rank only.
2025-08-26T21:24:25.9445640Z     Takes the SavePlan from all ranks and make any global decision.
2025-08-26T21:24:25.9445929Z 
2025-08-26T21:24:25.9446035Z 4) finish_plan - called on all ranks.
2025-08-26T21:24:25.9446417Z     This gives each rank a chance to adjust to global planning decisions.
2025-08-26T21:24:25.9446709Z 
2025-08-26T21:24:25.9446859Z 5) resolve_data - called multiple times on each rank
2025-08-26T21:24:25.9447265Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-08-26T21:24:25.9447547Z 
2025-08-26T21:24:25.9447803Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-08-26T21:24:25.9448319Z most changes can be expressed by changes in a single method.
2025-08-26T21:24:25.9448569Z 
2025-08-26T21:24:25.9448687Z There are 3 usual patterns of extension:
2025-08-26T21:24:25.9448878Z 
2025-08-26T21:24:25.9449098Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-08-26T21:24:25.9449604Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-08-26T21:24:25.9449894Z 
2025-08-26T21:24:25.9449997Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T21:24:25.9450306Z >>> class RenamePlanner(DefaultSavePlanner):
2025-08-26T21:24:25.9450605Z >>>     def set_up_planner(
2025-08-26T21:24:25.9450830Z >>>         self,
2025-08-26T21:24:25.9451050Z >>>         state_dict: STATE_DICT_TYPE,
2025-08-26T21:24:25.9451351Z >>>         storage_meta: Optional[StorageMeta],
2025-08-26T21:24:25.9451613Z >>>         is_coordinator: bool,
2025-08-26T21:24:25.9451811Z >>>     ) -> None:
2025-08-26T21:24:25.9451986Z >>> # prefix all keys with `foo_``
2025-08-26T21:24:25.9452327Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-08-26T21:24:25.9452606Z 
2025-08-26T21:24:25.9452838Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-08-26T21:24:25.9453142Z 
2025-08-26T21:24:25.9453431Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T21:24:25.9453681Z >>> class FP16Planner(DefaultSavePlanner):
2025-08-26T21:24:25.9453917Z >>>     def create_local_plan(self):
2025-08-26T21:24:25.9454143Z >>>         plan = super().create_local_plan()
2025-08-26T21:24:25.9454478Z >>>         for p in plan:
2025-08-26T21:24:25.9454680Z >>>             if p.tensor_data is not None:
2025-08-26T21:24:25.9454951Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-08-26T21:24:25.9455209Z >>>         return plan
2025-08-26T21:24:25.9455378Z >>>
2025-08-26T21:24:25.9455537Z >>>     def resolve_data(self, write_item):
2025-08-26T21:24:25.9455779Z >>>         item = super().resolve_data(write_item)
2025-08-26T21:24:25.9456137Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-08-26T21:24:25.9456405Z 
2025-08-26T21:24:25.9456645Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-08-26T21:24:25.9456962Z 
2025-08-26T21:24:25.9457051Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T21:24:25.9457277Z >>> from itertools import zip_longest
2025-08-26T21:24:25.9457519Z >>> from dataclasses import replace
2025-08-26T21:24:25.9457790Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-08-26T21:24:25.9458170Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-08-26T21:24:25.9458691Z >>> # This sample doesn't handle ShardedTensors
2025-08-26T21:24:25.9458952Z >>>     def create_global_plan(self, all_plans):
2025-08-26T21:24:25.9459241Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-08-26T21:24:25.9459496Z >>>         items_per_rank = [
2025-08-26T21:24:25.9459724Z >>>             [item for item in items if item is not None]
2025-08-26T21:24:25.9460011Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-08-26T21:24:25.9460255Z >>>         ]
2025-08-26T21:24:25.9460419Z >>>         all_plans = [
2025-08-26T21:24:25.9460624Z >>>             replace(plan, items=items)
2025-08-26T21:24:25.9460910Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-08-26T21:24:25.9461178Z >>>         ]
2025-08-26T21:24:25.9461377Z >>>         return super().create_global_plan(all_plans)
2025-08-26T21:24:25.9461561Z 
2025-08-26T21:24:25.9461742Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-08-26T21:24:25.9462183Z accomplished by having each rank contribute their data items in the local plan and
2025-08-26T21:24:25.9462525Z the global planner aggregate them:
2025-08-26T21:24:25.9462667Z 
2025-08-26T21:24:25.9462747Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T21:24:25.9463024Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-08-26T21:24:25.9463302Z >>>     def create_local_plan(self) -> SavePlan:
2025-08-26T21:24:25.9463546Z >>>         plan = super().create_local_plan()
2025-08-26T21:24:25.9463811Z >>>         return replace(plan, planner_data="per-rank-data")
2025-08-26T21:24:25.9464058Z >>>
2025-08-26T21:24:25.9464344Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-08-26T21:24:25.9464764Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-08-26T21:24:25.9465093Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-08-26T21:24:25.9465392Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-08-26T21:24:25.9465665Z >>>         return global_plan, metadata
2025-08-26T21:24:25.9465809Z 
2025-08-26T21:24:25.9466171Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-08-26T21:24:25.9466599Z 
2025-08-26T21:24:25.9466664Z _._ = None
2025-08-26T21:24:25.9466805Z ^
2025-08-26T21:24:25.9467414Z 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.
2025-08-26T21:24:25.9468069Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:25.9468324Z 
2025-08-26T21:24:25.9468519Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-08-26T21:24:25.9468869Z 
2025-08-26T21:24:25.9469061Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-08-26T21:24:25.9469332Z 
2025-08-26T21:24:25.9469527Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-26T21:24:25.9469875Z will be visible to the whole process.
2025-08-26T21:24:25.9470022Z 
2025-08-26T21:24:25.9470209Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-08-26T21:24:25.9470478Z 
2025-08-26T21:24:25.9470562Z 1) set_up_planner - called on all ranks.
2025-08-26T21:24:25.9470811Z     Signals the start of loading a checkpoint.
2025-08-26T21:24:25.9470973Z 
2025-08-26T21:24:25.9471070Z 2) create_local_plan - called on all ranks.
2025-08-26T21:24:25.9471432Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-08-26T21:24:25.9471705Z 
2025-08-26T21:24:25.9471838Z 3) create_global_plan - called on the coordinator rank only.
2025-08-26T21:24:25.9472178Z     Takes the LoadPlan from all ranks and make any global decision.
2025-08-26T21:24:25.9472395Z 
2025-08-26T21:24:25.9472498Z 4) load_bytes - called multiple times on each rank
2025-08-26T21:24:25.9472794Z     This is called once per non-tensor value in state_dict.
2025-08-26T21:24:25.9472982Z 
2025-08-26T21:24:25.9473145Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-08-26T21:24:25.9473502Z     They are called in pair for each Tensor value in state_dict.
2025-08-26T21:24:25.9473709Z 
2025-08-26T21:24:25.9473914Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-08-26T21:24:25.9474325Z most changes can be expressed by changes in a single method.
2025-08-26T21:24:25.9474527Z 
2025-08-26T21:24:25.9474624Z There are two usual patterns of extension:
2025-08-26T21:24:25.9474787Z 
2025-08-26T21:24:25.9474969Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-08-26T21:24:25.9475392Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-08-26T21:24:25.9475903Z to keep a reference to the original state_dict as load happens in place so
2025-08-26T21:24:25.9476229Z we need to be able to perform it in place
2025-08-26T21:24:25.9476387Z 
2025-08-26T21:24:25.9476477Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T21:24:25.9476721Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-08-26T21:24:25.9476978Z >>>     def set_up_planner(
2025-08-26T21:24:25.9477167Z >>>         self,
2025-08-26T21:24:25.9477350Z >>>         state_dict: STATE_DICT_TYPE,
2025-08-26T21:24:25.9477567Z >>>         metadata: Metadata,
2025-08-26T21:24:25.9477772Z >>>         is_coordinator: bool,
2025-08-26T21:24:25.9477973Z >>>     ) -> None:
2025-08-26T21:24:25.9478165Z >>>         self.original_state_dict = state_dict
2025-08-26T21:24:25.9478446Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-08-26T21:24:25.9478707Z >>>
2025-08-26T21:24:25.9478868Z >>>         if self.flatten_sharded_tensors:
2025-08-26T21:24:25.9479125Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-08-26T21:24:25.9479361Z >>>
2025-08-26T21:24:25.9479517Z >>>         if self.flatten_state_dict:
2025-08-26T21:24:25.9479792Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-08-26T21:24:25.9480053Z >>>
2025-08-26T21:24:25.9480200Z >>>         self.state_dict = state_dict
2025-08-26T21:24:25.9480421Z >>>         self.metadata = metadata
2025-08-26T21:24:25.9480649Z >>>         self.is_coordinator = is_coordinator
2025-08-26T21:24:25.9480865Z >>>
2025-08-26T21:24:25.9481033Z >>>     def load_bytes(self, read_item, value):
2025-08-26T21:24:25.9481269Z >>> # Remove the "foo_" prefix
2025-08-26T21:24:25.9481687Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-08-26T21:24:25.9481985Z 
2025-08-26T21:24:25.9481987Z 
2025-08-26T21:24:25.9482265Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-08-26T21:24:25.9482521Z 
2025-08-26T21:24:25.9482609Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T21:24:25.9482864Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-08-26T21:24:25.9483133Z >>>     def resolve_tensor(self, read_item):
2025-08-26T21:24:25.9483379Z >>>         tensor = super().resolve_tensor(read_item)
2025-08-26T21:24:25.9483652Z >>>         return torch.empty_like(tensor, device="cpu")
2025-08-26T21:24:25.9483880Z >>>
2025-08-26T21:24:25.9484047Z >>>     def commit_tensor(self, read_item, tensor):
2025-08-26T21:24:25.9484319Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-08-26T21:24:25.9484501Z 
2025-08-26T21:24:25.9484872Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-08-26T21:24:25.9485302Z 
2025-08-26T21:24:25.9485372Z _._ = None
2025-08-26T21:24:25.9485514Z ^
2025-08-26T21:24:26.2546684Z 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.
2025-08-26T21:24:26.2547565Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:26.2547882Z 
2025-08-26T21:24:26.2548072Z ``FullStateDictConfig`` is a config class meant to be used with
2025-08-26T21:24:26.2548518Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-08-26T21:24:26.2548976Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-08-26T21:24:26.2549458Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-08-26T21:24:26.2549908Z is meant to be used via the :func:`state_dict_type` context manager as
2025-08-26T21:24:26.2550280Z follows:
2025-08-26T21:24:26.2550389Z 
2025-08-26T21:24:26.2550509Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T21:24:26.2550912Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-26T21:24:26.2551332Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-08-26T21:24:26.2551713Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-08-26T21:24:26.2552108Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-08-26T21:24:26.2552412Z     >>>     state = fsdp.state_dict()
2025-08-26T21:24:26.2552699Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-08-26T21:24:26.2553084Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-08-26T21:24:26.2553485Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-08-26T21:24:26.2553803Z     >>> if dist.get_rank() == 0:
2025-08-26T21:24:26.2554080Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-08-26T21:24:26.2554392Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-08-26T21:24:26.2554664Z     >>>     model.load_state_dict(state_dict)
2025-08-26T21:24:26.2554996Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-08-26T21:24:26.2555393Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-08-26T21:24:26.2555794Z     >>> fsdp = FSDP(
2025-08-26T21:24:26.2555969Z     ...     model,
2025-08-26T21:24:26.2556158Z     ...     device_id=torch.cuda.current_device(),
2025-08-26T21:24:26.2556395Z     ...     auto_wrap_policy=...,
2025-08-26T21:24:26.2556607Z     ...     sync_module_states=True,
2025-08-26T21:24:26.2556808Z     ... )
2025-08-26T21:24:26.2557046Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-08-26T21:24:26.2557281Z 
2025-08-26T21:24:26.2557347Z Attributes:
2025-08-26T21:24:26.2557891Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-08-26T21:24:26.2558266Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-08-26T21:24:26.2558597Z         ranks save the full state dict. (Default: ``False``)
2025-08-26T21:24:26.2558910Z 
2025-08-26T21:24:26.2559256Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-08-26T21:24:26.2559663Z 
2025-08-26T21:24:26.2559723Z _._ = None
2025-08-26T21:24:26.2559882Z ^
2025-08-26T21:24:27.8541167Z 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.
2025-08-26T21:24:27.8542046Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:27.8542513Z Register a parametrization to a tensor in a module.
2025-08-26T21:24:27.8542701Z 
2025-08-26T21:24:27.8543107Z     Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-08-26T21:24:27.8543612Z     the module will return the parametrized version ``parametrization(module.weight)``.
2025-08-26T21:24:27.8544062Z     If the original tensor requires a gradient, the backward pass will differentiate
2025-08-26T21:24:27.8544535Z     through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-08-26T21:24:27.8544812Z 
2025-08-26T21:24:27.8545025Z     The first time that a module registers a parametrization, this function will add an attribute
2025-08-26T21:24:27.8545499Z     ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-08-26T21:24:27.8545752Z 
2025-08-26T21:24:27.8545927Z     The list of parametrizations on the tensor ``weight`` will be accessible under
2025-08-26T21:24:27.8546272Z     ``module.parametrizations.weight``.
2025-08-26T21:24:27.8546435Z 
2025-08-26T21:24:27.8546540Z     The original tensor will be accessible under
2025-08-26T21:24:27.8546812Z     ``module.parametrizations.weight.original``.
2025-08-26T21:24:27.8546995Z 
2025-08-26T21:24:27.8547174Z     Parametrizations may be concatenated by registering several parametrizations
2025-08-26T21:24:27.8547515Z     on the same attribute.
2025-08-26T21:24:27.8547642Z 
2025-08-26T21:24:27.8547810Z     The training mode of a registered parametrization is updated on registration
2025-08-26T21:24:27.8548139Z     to match the training mode of the host module
2025-08-26T21:24:27.8548310Z 
2025-08-26T21:24:27.8548519Z     Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-08-26T21:24:27.8548898Z     using the context manager :func:`cached`.
2025-08-26T21:24:27.8549052Z 
2025-08-26T21:24:27.8549223Z     A :attr:`parametrization` may optionally implement a method with signature
2025-08-26T21:24:27.8549460Z 
2025-08-26T21:24:27.8549571Z     .. code-block:: python
2025-08-26T21:24:27.8549689Z 
2025-08-26T21:24:27.8549846Z         def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-08-26T21:24:27.8550076Z 
2025-08-26T21:24:27.8550258Z     This method is called on the unparametrized tensor when the first parametrization
2025-08-26T21:24:27.8550657Z     is registered to compute the initial value of the original tensor.
2025-08-26T21:24:27.8551089Z     If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-08-26T21:24:27.8551370Z 
2025-08-26T21:24:27.8551590Z     If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-08-26T21:24:27.8552066Z     to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-08-26T21:24:27.8552338Z 
2025-08-26T21:24:27.8552492Z     It is possible for the first parametrization to depend on several inputs.
2025-08-26T21:24:27.8552887Z     This may be implemented returning a tuple of tensors from ``right_inverse``
2025-08-26T21:24:27.8553299Z     (see the example implementation of a ``RankOne`` parametrization below).
2025-08-26T21:24:27.8553839Z 
2025-08-26T21:24:27.8554090Z     In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-08-26T21:24:27.8554484Z     with names ``original0``, ``original1``,...
2025-08-26T21:24:27.8554798Z 
2025-08-26T21:24:27.8554866Z     .. note::
2025-08-26T21:24:27.8554970Z 
2025-08-26T21:24:27.8555157Z         If unsafe=False (default) both the forward and right_inverse methods will be called
2025-08-26T21:24:27.8555527Z         once to perform a number of consistency checks.
2025-08-26T21:24:27.8556008Z         If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-08-26T21:24:27.8556363Z         and nothing will be called otherwise.
2025-08-26T21:24:27.8556528Z 
2025-08-26T21:24:27.8556593Z     .. note::
2025-08-26T21:24:27.8556687Z 
2025-08-26T21:24:27.8556829Z         In most situations, ``right_inverse`` will be a function such that
2025-08-26T21:24:27.8557142Z         ``forward(right_inverse(X)) == X`` (see
2025-08-26T21:24:27.8557526Z         `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-08-26T21:24:27.8557971Z         Sometimes, when the parametrization is not surjective, it may be reasonable
2025-08-26T21:24:27.8558305Z         to relax this.
2025-08-26T21:24:27.8558428Z 
2025-08-26T21:24:27.8558501Z     .. warning::
2025-08-26T21:24:27.8558601Z 
2025-08-26T21:24:27.8558798Z         If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-08-26T21:24:27.8559233Z         will register a number of new parameters. If such parametrization is registered
2025-08-26T21:24:27.8559670Z         after the optimizer is created, these new parameters will need to be added manually
2025-08-26T21:24:27.8560065Z         to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-08-26T21:24:27.8560281Z 
2025-08-26T21:24:27.8560346Z     Args:
2025-08-26T21:24:27.8560582Z         module (nn.Module): module on which to register the parametrization
2025-08-26T21:24:27.8560950Z         tensor_name (str): name of the parameter or buffer on which to register
2025-08-26T21:24:27.8561246Z             the parametrization
2025-08-26T21:24:27.8561546Z         parametrization (nn.Module): the parametrization to register
2025-08-26T21:24:27.8561826Z     Keyword args:
2025-08-26T21:24:27.8562077Z         unsafe (bool): a boolean flag that denotes whether the parametrization
2025-08-26T21:24:27.8562434Z             may change the dtype and shape of the tensor. Default: `False`
2025-08-26T21:24:27.8562843Z             Warning: the parametrization is not checked for consistency upon registration.
2025-08-26T21:24:27.8563186Z             Enable this flag at your own risk.
2025-08-26T21:24:27.8563339Z 
2025-08-26T21:24:27.8563405Z     Raises:
2025-08-26T21:24:27.8563691Z         ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-08-26T21:24:27.8563963Z 
2025-08-26T21:24:27.8564024Z     Examples:
2025-08-26T21:24:27.8571194Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-08-26T21:24:27.8571517Z         >>> import torch
2025-08-26T21:24:27.8571732Z         >>> import torch.nn as nn
2025-08-26T21:24:27.8571994Z         >>> import torch.nn.utils.parametrize as P
2025-08-26T21:24:27.8572249Z         >>>
2025-08-26T21:24:27.8572426Z         >>> class Symmetric(nn.Module):
2025-08-26T21:24:27.8572657Z         >>>     def forward(self, X):
2025-08-26T21:24:27.8572934Z         >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-08-26T21:24:27.8573192Z         >>>
2025-08-26T21:24:27.8573365Z         >>>     def right_inverse(self, A):
2025-08-26T21:24:27.8573596Z         >>>         return A.triu()
2025-08-26T21:24:27.8573794Z         >>>
2025-08-26T21:24:27.8573945Z         >>> m = nn.Linear(5, 5)
2025-08-26T21:24:27.8574195Z         >>> P.register_parametrization(m, "weight", Symmetric())
2025-08-26T21:24:27.8574561Z         >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-08-26T21:24:27.8574974Z         True
2025-08-26T21:24:27.8575155Z         >>> A = torch.rand(5, 5)
2025-08-26T21:24:27.8575373Z         >>> A = A + A.T  # A is now symmetric
2025-08-26T21:24:27.8575732Z         >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-08-26T21:24:27.8576040Z         >>> print(torch.allclose(m.weight, A))
2025-08-26T21:24:27.8576251Z         True
2025-08-26T21:24:27.8576346Z 
2025-08-26T21:24:27.8576422Z         >>> class RankOne(nn.Module):
2025-08-26T21:24:27.8576656Z         >>>     def forward(self, x, y):
2025-08-26T21:24:27.8576912Z         >>> # Form a rank 1 matrix multiplying two vectors
2025-08-26T21:24:27.8577179Z         >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-08-26T21:24:27.8577408Z         >>>
2025-08-26T21:24:27.8577574Z         >>>     def right_inverse(self, Z):
2025-08-26T21:24:27.8577810Z         >>> # Project Z onto the rank 1 matrices
2025-08-26T21:24:27.8578075Z         >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-08-26T21:24:27.8578354Z         >>> # Return rescaled singular vectors
2025-08-26T21:24:27.8578607Z         >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-08-26T21:24:27.8578877Z         >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-08-26T21:24:27.8579109Z         >>>
2025-08-26T21:24:27.8579299Z         >>> linear_rank_one = P.register_parametrization(
2025-08-26T21:24:27.8579568Z         ...     nn.Linear(4, 4), "weight", RankOne()
2025-08-26T21:24:27.8579787Z         ... )
2025-08-26T21:24:27.8580010Z         >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-08-26T21:24:27.8580284Z         1
2025-08-26T21:24:27.8580366Z 
2025-08-26T21:24:27.8580430Z     
2025-08-26T21:24:27.8580871Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-08-26T21:24:27.8581294Z 
2025-08-26T21:24:27.8581353Z _._ = None
2025-08-26T21:24:27.8581494Z ^
2025-08-26T21:24:27.9404952Z 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.
2025-08-26T21:24:27.9405767Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:27.9406266Z Reduce learning rate when a metric has stopped improving.
2025-08-26T21:24:27.9406519Z 
2025-08-26T21:24:27.9406709Z     Models often benefit from reducing the learning rate by a factor
2025-08-26T21:24:27.9407138Z     of 2-10 once learning stagnates. This scheduler reads a metrics
2025-08-26T21:24:27.9407563Z     quantity and if no improvement is seen for a 'patience' number
2025-08-26T21:24:27.9407938Z     of epochs, the learning rate is reduced.
2025-08-26T21:24:27.9408149Z 
2025-08-26T21:24:27.9408233Z     Args:
2025-08-26T21:24:27.9408460Z         optimizer (Optimizer): Wrapped optimizer.
2025-08-26T21:24:27.9408815Z         mode (str): One of `min`, `max`. In `min` mode, lr will
2025-08-26T21:24:27.9409188Z             be reduced when the quantity monitored has stopped
2025-08-26T21:24:27.9409560Z             decreasing; in `max` mode it will be reduced when the
2025-08-26T21:24:27.9409968Z             quantity monitored has stopped increasing. Default: 'min'.
2025-08-26T21:24:27.9410388Z         factor (float): Factor by which the learning rate will be
2025-08-26T21:24:27.9410754Z             reduced. new_lr = lr * factor. Default: 0.1.
2025-08-26T21:24:27.9411156Z         patience (int): The number of allowed epochs with no improvement after
2025-08-26T21:24:27.9411556Z             which the learning rate will be reduced.
2025-08-26T21:24:27.9411953Z             For example, consider the case of having no patience (`patience = 0`).
2025-08-26T21:24:27.9412519Z             In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-08-26T21:24:27.9413005Z             In the second epoch, if the performance is worse than the baseline,
2025-08-26T21:24:27.9413486Z             we have what is considered an intolerable epoch.
2025-08-26T21:24:27.9413857Z             Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-08-26T21:24:27.9414320Z             the learning rate is reduced at the end of this epoch.
2025-08-26T21:24:27.9414749Z             From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-08-26T21:24:27.9415264Z             if the performance is worse than the baseline. If the performance improves or remains the same,
2025-08-26T21:24:27.9415641Z             the learning rate is not adjusted.
2025-08-26T21:24:27.9415869Z             Default: 10.
2025-08-26T21:24:27.9416114Z         threshold (float): Threshold for measuring the new optimum,
2025-08-26T21:24:27.9416433Z             to only focus on significant changes. Default: 1e-4.
2025-08-26T21:24:27.9416742Z         threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-08-26T21:24:27.9417052Z             dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-08-26T21:24:27.9417334Z             mode or best * ( 1 - threshold ) in `min` mode.
2025-08-26T21:24:27.9417620Z             In `abs` mode, dynamic_threshold = best + threshold in
2025-08-26T21:24:27.9417937Z             `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-08-26T21:24:27.9418260Z         cooldown (int): Number of epochs to wait before resuming
2025-08-26T21:24:27.9418569Z             normal operation after lr has been reduced. Default: 0.
2025-08-26T21:24:27.9418879Z         min_lr (float or list): A scalar or a list of scalars. A
2025-08-26T21:24:27.9419174Z             lower bound on the learning rate of all param groups
2025-08-26T21:24:27.9419455Z             or each group respectively. Default: 0.
2025-08-26T21:24:27.9419743Z         eps (float): Minimal decay applied to lr. If the difference
2025-08-26T21:24:27.9420055Z             between new and old lr is smaller than eps, the update is
2025-08-26T21:24:27.9420333Z             ignored. Default: 1e-8.
2025-08-26T21:24:27.9420478Z 
2025-08-26T21:24:27.9420541Z     Example:
2025-08-26T21:24:27.9420707Z         >>> # xdoctest: +SKIP
2025-08-26T21:24:27.9420989Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-08-26T21:24:27.9421344Z         >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-08-26T21:24:27.9421601Z         >>> for epoch in range(10):
2025-08-26T21:24:27.9421805Z         >>>     train(...)
2025-08-26T21:24:27.9421996Z         >>>     val_loss = validate(...)
2025-08-26T21:24:27.9422252Z         >>> # Note that step should be called after validate()
2025-08-26T21:24:27.9422517Z         >>>     scheduler.step(val_loss)
2025-08-26T21:24:27.9422662Z 
2025-08-26T21:24:27.9422821Z     .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-08-26T21:24:27.9423091Z     
2025-08-26T21:24:27.9423458Z Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-08-26T21:24:27.9423813Z 
2025-08-26T21:24:27.9423887Z     scheduler.step(val_loss)
2025-08-26T21:24:27.9424078Z    ^
2025-08-26T21:24:30.6884368Z gathering tests
2025-08-26T21:24:30.6898731Z running 862 test(s)
2025-08-26T21:24:30.6905765Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1082 <- wrt source file
2025-08-26T21:24:30.6913980Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0
2025-08-26T21:24:30.6914793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1118 <- wrt source file
2025-08-26T21:24:30.6918551Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0
2025-08-26T21:24:30.6919688Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1203 <- wrt source file
2025-08-26T21:24:30.6921075Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0
2025-08-26T21:24:30.6922049Z * 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
2025-08-26T21:24:30.6923422Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-08-26T21:24:30.6924225Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1289 <- wrt source file
2025-08-26T21:24:30.6926831Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0
2025-08-26T21:24:30.6927700Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1444 <- wrt source file
2025-08-26T21:24:30.6929138Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-08-26T21:24:30.6930403Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2567 <- wrt source file
2025-08-26T21:24:30.6931183Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0
2025-08-26T21:24:30.6931991Z * 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
2025-08-26T21:24:30.6933030Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-08-26T21:24:30.6933923Z * 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
2025-08-26T21:24:30.6934990Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0
2025-08-26T21:24:30.6935997Z * 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
2025-08-26T21:24:30.6938657Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0
2025-08-26T21:24:30.6939553Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-08-26T21:24:30.6940346Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0
2025-08-26T21:24:30.6941091Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-08-26T21:24:30.6941856Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0
2025-08-26T21:24:30.6942604Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-08-26T21:24:30.7675177Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-08-26T21:24:30.7676241Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-08-26T21:24:30.7677271Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-08-26T21:24:30.7678108Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 649 <- wrt source file
2025-08-26T21:24:30.7691435Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-08-26T21:24:30.7692565Z * 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
2025-08-26T21:24:30.7713364Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-08-26T21:24:30.7714469Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1333 <- wrt source file
2025-08-26T21:24:30.7783493Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-08-26T21:24:30.7784326Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1378 <- wrt source file
2025-08-26T21:24:30.7788840Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-08-26T21:24:30.7789638Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1451 <- wrt source file
2025-08-26T21:24:30.7797017Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0
2025-08-26T21:24:30.7798090Z * 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
2025-08-26T21:24:30.7803112Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-08-26T21:24:30.7804107Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1513 <- wrt source file
2025-08-26T21:24:30.7822143Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0
2025-08-26T21:24:30.7823173Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-08-26T21:24:30.7839066Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-08-26T21:24:30.7840104Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-08-26T21:24:30.7846843Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0
2025-08-26T21:24:30.7847658Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-08-26T21:24:30.7850645Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0
2025-08-26T21:24:30.7851445Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file
2025-08-26T21:24:30.7863581Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0
2025-08-26T21:24:30.7864358Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file
2025-08-26T21:24:30.7881479Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0
2025-08-26T21:24:30.7882427Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file
2025-08-26T21:24:30.7921955Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0
2025-08-26T21:24:30.7923108Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file
2025-08-26T21:24:30.7967279Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0
2025-08-26T21:24:30.7968655Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file
2025-08-26T21:24:30.7979062Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-08-26T21:24:30.7980088Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file
2025-08-26T21:24:30.7990236Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0
2025-08-26T21:24:30.7991056Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file
2025-08-26T21:24:30.7998084Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0
2025-08-26T21:24:30.7998880Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file
2025-08-26T21:24:30.8008459Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0
2025-08-26T21:24:30.8009388Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file
2025-08-26T21:24:30.8022814Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0
2025-08-26T21:24:30.8023743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file
2025-08-26T21:24:30.8040930Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0
2025-08-26T21:24:30.8041926Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file
2025-08-26T21:24:30.8059752Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0
2025-08-26T21:24:30.8060827Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file
2025-08-26T21:24:30.8082596Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0
2025-08-26T21:24:30.8083619Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file
2025-08-26T21:24:30.8116212Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0
2025-08-26T21:24:30.8117243Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1903 <- wrt source file
2025-08-26T21:24:30.8145946Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0
2025-08-26T21:24:30.8147003Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2003 <- wrt source file
2025-08-26T21:24:30.8148018Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0
2025-08-26T21:24:30.8148961Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2104 <- wrt source file
2025-08-26T21:24:30.8149924Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0
2025-08-26T21:24:30.8152077Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 473 <- wrt source file
2025-08-26T21:24:30.8153057Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0
2025-08-26T21:24:30.8153949Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 533 <- wrt source file
2025-08-26T21:24:30.8154651Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0
2025-08-26T21:24:30.8155323Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 624 <- wrt source file
2025-08-26T21:24:30.8156125Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0
2025-08-26T21:24:30.8156825Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 672 <- wrt source file
2025-08-26T21:24:30.8157557Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0
2025-08-26T21:24:30.8158294Z * 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
2025-08-26T21:24:30.8159072Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0
2025-08-26T21:24:30.8159839Z * 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
2025-08-26T21:24:30.8160647Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0
2025-08-26T21:24:30.8161420Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 153 <- wrt source file
2025-08-26T21:24:30.8162204Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0
2025-08-26T21:24:30.8163022Z * 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
2025-08-26T21:24:30.8170645Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-08-26T21:24:30.8171495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 307 <- wrt source file
2025-08-26T21:24:30.8175492Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0
2025-08-26T21:24:30.8176426Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 512 <- wrt source file
2025-08-26T21:24:30.8187999Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0
2025-08-26T21:24:30.8188886Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 618 <- wrt source file
2025-08-26T21:24:30.8203539Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0
2025-08-26T21:24:30.8204664Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 799 <- wrt source file
2025-08-26T21:24:30.8205671Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0
2025-08-26T21:24:30.8206630Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 867 <- wrt source file
2025-08-26T21:24:30.8207616Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0
2025-08-26T21:24:30.8208714Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1116 <- wrt source file
2025-08-26T21:24:30.8393272Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0
2025-08-26T21:24:30.8394396Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1232 <- wrt source file
2025-08-26T21:24:30.8465746Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0
2025-08-26T21:24:30.8466819Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1321 <- wrt source file
2025-08-26T21:24:30.8613088Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0
2025-08-26T21:24:30.8614153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1646 <- wrt source file
2025-08-26T21:24:30.8615123Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0
2025-08-26T21:24:30.8616108Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 116 <- wrt source file
2025-08-26T21:24:30.8620681Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0
2025-08-26T21:24:30.8621732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 422 <- wrt source file
2025-08-26T21:24:30.8654248Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0
2025-08-26T21:24:30.8655308Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1577 <- wrt source file
2025-08-26T21:24:30.8658003Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0
2025-08-26T21:24:30.8659033Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1712 <- wrt source file
2025-08-26T21:24:30.8661486Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0
2025-08-26T21:24:30.8662556Z * 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
2025-08-26T21:24:30.8690265Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-08-26T21:24:30.8691331Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1979 <- wrt source file
2025-08-26T21:24:30.8698016Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0
2025-08-26T21:24:30.8698976Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-08-26T21:24:30.8699801Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0
2025-08-26T21:24:30.8700785Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 299 <- wrt source file
2025-08-26T21:24:30.8701708Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0
2025-08-26T21:24:30.8702603Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 324 <- wrt source file
2025-08-26T21:24:30.8703723Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0
2025-08-26T21:24:30.8704551Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 400 <- wrt source file
2025-08-26T21:24:30.8705480Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0
2025-08-26T21:24:30.8706275Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 472 <- wrt source file
2025-08-26T21:24:30.8708957Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0
2025-08-26T21:24:30.8709847Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 950 <- wrt source file
2025-08-26T21:24:30.8710620Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0
2025-08-26T21:24:30.8711355Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1363 <- wrt source file
2025-08-26T21:24:30.8715493Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0
2025-08-26T21:24:30.8716555Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-08-26T21:24:30.8717412Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0
2025-08-26T21:24:30.8718251Z * 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
2025-08-26T21:24:30.8719952Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-08-26T21:24:30.8720814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 357 <- wrt source file
2025-08-26T21:24:30.8732121Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0
2025-08-26T21:24:30.8733039Z * 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
2025-08-26T21:24:30.8738137Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0
2025-08-26T21:24:30.8739326Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 113 <- wrt source file
2025-08-26T21:24:30.9729957Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-08-26T21:24:30.9731153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 249 <- wrt source file
2025-08-26T21:24:30.9732294Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0
2025-08-26T21:24:30.9733332Z * 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
2025-08-26T21:24:30.9734228Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-08-26T21:24:30.9735059Z * 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
2025-08-26T21:24:31.5840660Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-08-26T21:24:31.5841868Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 411 <- wrt source file
2025-08-26T21:24:31.5843682Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-08-26T21:24:31.5844831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 443 <- wrt source file
2025-08-26T21:24:31.5845706Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-08-26T21:24:31.5846562Z * 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
2025-08-26T21:24:31.5848716Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-08-26T21:24:31.5849577Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 482 <- wrt source file
2025-08-26T21:24:31.5852350Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-08-26T21:24:31.5853614Z * 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
2025-08-26T21:24:31.5854868Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-08-26T21:24:31.5855993Z * 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
2025-08-26T21:24:31.5857090Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-08-26T21:24:31.5858251Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1760 <- wrt source file
2025-08-26T21:24:31.5859312Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-08-26T21:24:31.5860125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 345 <- wrt source file
2025-08-26T21:24:31.5861103Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0
2025-08-26T21:24:31.5861859Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 415 <- wrt source file
2025-08-26T21:24:31.5862841Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0
2025-08-26T21:24:31.5863865Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 572 <- wrt source file
2025-08-26T21:24:31.5864937Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0
2025-08-26T21:24:31.5866169Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 148 <- wrt source file
2025-08-26T21:24:31.5867008Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0
2025-08-26T21:24:31.5867841Z * 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
2025-08-26T21:24:31.5868730Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-08-26T21:24:31.5870290Z * 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
2025-08-26T21:24:31.5871196Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0
2025-08-26T21:24:31.5872169Z * 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
2025-08-26T21:24:31.5873040Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-08-26T21:24:31.5873875Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 295 <- wrt source file
2025-08-26T21:24:31.5874672Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0
2025-08-26T21:24:31.5875438Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-08-26T21:24:31.5876344Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0
2025-08-26T21:24:31.5877163Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-08-26T21:24:31.5885564Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-08-26T21:24:31.5886472Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file
2025-08-26T21:24:31.5887293Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0
2025-08-26T21:24:31.5888102Z * 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
2025-08-26T21:24:31.5910274Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-08-26T21:24:31.5911424Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-08-26T21:24:31.5915551Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-08-26T21:24:31.5916731Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-08-26T21:24:31.5961475Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0
2025-08-26T21:24:31.5962610Z * 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
2025-08-26T21:24:31.5981815Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-08-26T21:24:31.5982927Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file
2025-08-26T21:24:31.6000231Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0
2025-08-26T21:24:31.6001243Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file
2025-08-26T21:24:31.6010310Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0
2025-08-26T21:24:31.6011344Z * 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
2025-08-26T21:24:31.6020041Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-08-26T21:24:31.6021077Z * 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
2025-08-26T21:24:31.6065411Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0
2025-08-26T21:24:31.6066604Z * 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
2025-08-26T21:24:31.6069736Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-08-26T21:24:31.6071007Z * 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
2025-08-26T21:24:31.6072342Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-08-26T21:24:31.6073637Z * 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
2025-08-26T21:24:31.6074915Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-08-26T21:24:31.6076395Z * 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
2025-08-26T21:24:31.6077840Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-08-26T21:24:31.6079123Z * 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
2025-08-26T21:24:31.6350450Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-08-26T21:24:31.6351767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file
2025-08-26T21:24:31.6353010Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-08-26T21:24:31.6354050Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 233 <- wrt source file
2025-08-26T21:24:31.6388650Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-08-26T21:24:31.6389731Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 475 <- wrt source file
2025-08-26T21:24:31.6446040Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-08-26T21:24:31.6447136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1023 <- wrt source file
2025-08-26T21:24:31.9038773Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-08-26T21:24:31.9039927Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1181 <- wrt source file
2025-08-26T21:24:31.9098356Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-08-26T21:24:31.9099460Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1341 <- wrt source file
2025-08-26T21:24:31.9116072Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-08-26T21:24:31.9117190Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1505 <- wrt source file
2025-08-26T21:24:31.9121163Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-08-26T21:24:31.9122332Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1704 <- wrt source file
2025-08-26T21:24:31.9274485Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-08-26T21:24:31.9275625Z * 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
2025-08-26T21:24:31.9279993Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-08-26T21:24:31.9281396Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-08-26T21:24:31.9282871Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-08-26T21:24:31.9284351Z * 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
2025-08-26T21:24:31.9285773Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0
2025-08-26T21:24:31.9286792Z * 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
2025-08-26T21:24:31.9287857Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0
2025-08-26T21:24:31.9289015Z * 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
2025-08-26T21:24:31.9290273Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-08-26T21:24:31.9291568Z * 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
2025-08-26T21:24:31.9292705Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-08-26T21:24:31.9293758Z * 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
2025-08-26T21:24:31.9294818Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-08-26T21:24:31.9295891Z * 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
2025-08-26T21:24:31.9297077Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-08-26T21:24:31.9298196Z * 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
2025-08-26T21:24:31.9299036Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0
2025-08-26T21:24:31.9299927Z * 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
2025-08-26T21:24:31.9300729Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-08-26T21:24:31.9301553Z * 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
2025-08-26T21:24:31.9302423Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0
2025-08-26T21:24:31.9303286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 372 <- wrt source file
2025-08-26T21:24:31.9304170Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0
2025-08-26T21:24:31.9305079Z * 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
2025-08-26T21:24:31.9306068Z * 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
2025-08-26T21:24:31.9307017Z * 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
2025-08-26T21:24:31.9307953Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0
2025-08-26T21:24:31.9308896Z * 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
2025-08-26T21:24:31.9309887Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_registry.py::register_template_heuristic:0
2025-08-26T21:24:31.9310746Z * 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
2025-08-26T21:24:31.9970345Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-08-26T21:24:31.9971474Z * 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
2025-08-26T21:24:32.0053464Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-08-26T21:24:32.0054682Z * 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
2025-08-26T21:24:32.0055882Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-08-26T21:24:32.0057040Z * 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
2025-08-26T21:24:32.0215475Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-08-26T21:24:32.0216674Z * 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
2025-08-26T21:24:32.0375990Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-08-26T21:24:32.0377584Z * 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
2025-08-26T21:24:32.0379374Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-08-26T21:24:32.0380758Z * 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
2025-08-26T21:24:32.0382265Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-08-26T21:24:32.0383601Z * 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
2025-08-26T21:24:32.0452019Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-08-26T21:24:32.0453195Z * 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
2025-08-26T21:24:32.0458700Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-08-26T21:24:32.0459889Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file
2025-08-26T21:24:32.0461041Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0
2025-08-26T21:24:32.0462071Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file
2025-08-26T21:24:32.0463098Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0
2025-08-26T21:24:32.0464050Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 459 <- wrt source file
2025-08-26T21:24:32.0464847Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0
2025-08-26T21:24:32.0465660Z * 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
2025-08-26T21:24:32.0499583Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-08-26T21:24:32.0500696Z * 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
2025-08-26T21:24:32.0501810Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0
2025-08-26T21:24:32.0502891Z * 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
2025-08-26T21:24:32.0543942Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0
2025-08-26T21:24:32.0545093Z * 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
2025-08-26T21:24:32.0547738Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0
2025-08-26T21:24:32.0548997Z * 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
2025-08-26T21:24:32.0605591Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0
2025-08-26T21:24:32.0662691Z * 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
2025-08-26T21:24:32.0663891Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0
2025-08-26T21:24:32.0665001Z * 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
2025-08-26T21:24:32.0712365Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-08-26T21:24:32.0713684Z * 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
2025-08-26T21:24:32.0715065Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-08-26T21:24:32.0716458Z * 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
2025-08-26T21:24:32.0731189Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-08-26T21:24:32.0732331Z * 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
2025-08-26T21:24:32.0735628Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-08-26T21:24:32.0736746Z * 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
2025-08-26T21:24:32.0740251Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-08-26T21:24:32.0741256Z * 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
2025-08-26T21:24:32.0742235Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-08-26T21:24:32.0743711Z * 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
2025-08-26T21:24:32.0747208Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-08-26T21:24:32.0748255Z * 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
2025-08-26T21:24:32.0750029Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0
2025-08-26T21:24:32.0751029Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file
2025-08-26T21:24:32.0752016Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-08-26T21:24:32.0752966Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-08-26T21:24:32.0754112Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-08-26T21:24:32.0755220Z * 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
2025-08-26T21:24:32.0756656Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-08-26T21:24:32.0757712Z * 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
2025-08-26T21:24:32.0759146Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-08-26T21:24:32.0760235Z * 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
2025-08-26T21:24:32.0761295Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-08-26T21:24:32.0762334Z * 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
2025-08-26T21:24:32.0763577Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-08-26T21:24:32.0764628Z * 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
2025-08-26T21:24:32.0765666Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-08-26T21:24:32.0766613Z * 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
2025-08-26T21:24:32.0777539Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-08-26T21:24:32.0778746Z * 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
2025-08-26T21:24:32.0805584Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-08-26T21:24:32.0807010Z * 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
2025-08-26T21:24:32.0808190Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-08-26T21:24:32.0809344Z * 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
2025-08-26T21:24:32.0810513Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-08-26T21:24:32.0811639Z * 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
2025-08-26T21:24:32.0812803Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-08-26T21:24:32.0813959Z * 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
2025-08-26T21:24:32.0815634Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-08-26T21:24:32.0816948Z * 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
2025-08-26T21:24:32.0821405Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-08-26T21:24:32.0822776Z * 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
2025-08-26T21:24:32.0824060Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-08-26T21:24:32.0825293Z * 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
2025-08-26T21:24:32.0826589Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-08-26T21:24:32.0827836Z * 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
2025-08-26T21:24:32.0829106Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-08-26T21:24:32.0830402Z * 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
2025-08-26T21:24:32.0831772Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-08-26T21:24:32.0833111Z * 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
2025-08-26T21:24:32.0834495Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2025-08-26T21:24:32.0835936Z * 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
2025-08-26T21:24:32.0837315Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-08-26T21:24:32.0838607Z * 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
2025-08-26T21:24:32.0839901Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-08-26T21:24:32.0841130Z * 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
2025-08-26T21:24:32.0842377Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-08-26T21:24:32.0843817Z * 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
2025-08-26T21:24:32.0845058Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2025-08-26T21:24:32.0846286Z * 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
2025-08-26T21:24:32.0847559Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-08-26T21:24:32.0848955Z * 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
2025-08-26T21:24:32.0850265Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-08-26T21:24:32.0851635Z * 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
2025-08-26T21:24:32.0852908Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-08-26T21:24:32.0854141Z * 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
2025-08-26T21:24:32.0855399Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-08-26T21:24:32.0856584Z * 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
2025-08-26T21:24:32.0857760Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0
2025-08-26T21:24:32.0858920Z * 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
2025-08-26T21:24:32.0860099Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-08-26T21:24:32.0861243Z * 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
2025-08-26T21:24:32.0862417Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-08-26T21:24:32.0863619Z * 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
2025-08-26T21:24:32.0864898Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-08-26T21:24:32.0866154Z * 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
2025-08-26T21:24:32.0867434Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-08-26T21:24:32.0868688Z * 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
2025-08-26T21:24:32.0869963Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-08-26T21:24:32.0871229Z * 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
2025-08-26T21:24:32.0872534Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-08-26T21:24:32.0873844Z * 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
2025-08-26T21:24:32.0875178Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-08-26T21:24:32.0876621Z * 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
2025-08-26T21:24:32.0878142Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-08-26T21:24:32.0879514Z * 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
2025-08-26T21:24:32.0880974Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-08-26T21:24:32.0882232Z * 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
2025-08-26T21:24:32.0883437Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-08-26T21:24:32.0884578Z * 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
2025-08-26T21:24:32.0885725Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0
2025-08-26T21:24:32.0887166Z * 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
2025-08-26T21:24:32.0917403Z * 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
2025-08-26T21:24:32.0919045Z * 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
2025-08-26T21:24:32.0920664Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-08-26T21:24:32.0921963Z * 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
2025-08-26T21:24:32.0922957Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-08-26T21:24:32.0923932Z * 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
2025-08-26T21:24:32.0924968Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-08-26T21:24:32.0926009Z * 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
2025-08-26T21:24:32.0927098Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0
2025-08-26T21:24:32.0928061Z * 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
2025-08-26T21:24:32.0928976Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-08-26T21:24:32.0929895Z * 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
2025-08-26T21:24:32.0937895Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-08-26T21:24:32.0939242Z * 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
2025-08-26T21:24:32.0944628Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-08-26T21:24:32.0946040Z * 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
2025-08-26T21:24:32.0950454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-08-26T21:24:32.0951697Z * 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
2025-08-26T21:24:32.0956305Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-08-26T21:24:32.0957265Z * 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
2025-08-26T21:24:32.0958148Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-08-26T21:24:32.0959037Z * 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
2025-08-26T21:24:32.0959971Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-08-26T21:24:32.0960843Z * 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
2025-08-26T21:24:32.0961741Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-08-26T21:24:32.0963176Z * 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
2025-08-26T21:24:32.0964384Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-08-26T21:24:32.0965308Z * 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
2025-08-26T21:24:32.0966248Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-08-26T21:24:32.0967137Z * 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
2025-08-26T21:24:32.0968042Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-08-26T21:24:32.0968956Z * 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
2025-08-26T21:24:32.0969935Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-08-26T21:24:32.0970928Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file
2025-08-26T21:24:32.0972122Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-08-26T21:24:32.0973117Z * 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
2025-08-26T21:24:32.0974264Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-08-26T21:24:32.0975216Z * 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
2025-08-26T21:24:32.0976406Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-08-26T21:24:32.0977662Z * 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
2025-08-26T21:24:32.0978828Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-08-26T21:24:32.0980033Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 172 <- wrt source file
2025-08-26T21:24:32.0981157Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-08-26T21:24:32.0982041Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 544 <- wrt source file
2025-08-26T21:24:32.0982948Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-08-26T21:24:32.0983860Z * 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
2025-08-26T21:24:32.0984982Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-08-26T21:24:32.0985873Z * 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
2025-08-26T21:24:32.0986762Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-08-26T21:24:32.0987639Z * 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
2025-08-26T21:24:32.0988557Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-08-26T21:24:32.0989631Z * 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
2025-08-26T21:24:32.0990730Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-08-26T21:24:32.0991749Z * 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
2025-08-26T21:24:32.0993120Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0
2025-08-26T21:24:32.0994374Z * 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
2025-08-26T21:24:32.0995647Z * 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
2025-08-26T21:24:32.0997012Z * 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
2025-08-26T21:24:32.0998158Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0
2025-08-26T21:24:32.0999483Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 339 <- wrt source file
2025-08-26T21:24:32.1001404Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0
2025-08-26T21:24:32.1002849Z * DOCTEST : /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, line 427 <- wrt source file
2025-08-26T21:24:32.1004456Z * SKIPPED: /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
2025-08-26T21:24:32.1005907Z * 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
2025-08-26T21:24:32.1007273Z * 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
2025-08-26T21:24:32.1008604Z * 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
2025-08-26T21:24:32.1009984Z * 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
2025-08-26T21:24:32.1011302Z * DOCTEST : /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
2025-08-26T21:24:32.1012574Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-08-26T21:24:32.1013645Z * 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
2025-08-26T21:24:32.1014691Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-08-26T21:24:32.1015688Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 188 <- wrt source file
2025-08-26T21:24:32.1016841Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0
2025-08-26T21:24:32.1017881Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 436 <- wrt source file
2025-08-26T21:24:32.1018960Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-08-26T21:24:32.1020032Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file
2025-08-26T21:24:32.1020913Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0
2025-08-26T21:24:32.1021721Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file
2025-08-26T21:24:32.1022624Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0
2025-08-26T21:24:32.1023440Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file
2025-08-26T21:24:32.1024512Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0
2025-08-26T21:24:32.1025330Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file
2025-08-26T21:24:32.1026154Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0
2025-08-26T21:24:32.1027017Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 71 <- wrt source file
2025-08-26T21:24:32.1028103Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
2025-08-26T21:24:32.1029022Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 115 <- wrt source file
2025-08-26T21:24:32.1029959Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-08-26T21:24:32.1030965Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 167 <- wrt source file
2025-08-26T21:24:32.1031896Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
2025-08-26T21:24:32.1032837Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 214 <- wrt source file
2025-08-26T21:24:32.1033839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2025-08-26T21:24:32.1034930Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 243 <- wrt source file
2025-08-26T21:24:32.1036016Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0
2025-08-26T21:24:32.1036884Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0, line 485 <- wrt source file
2025-08-26T21:24:32.1037687Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0
2025-08-26T21:24:32.1038466Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0, line 293 <- wrt source file
2025-08-26T21:24:32.1039412Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0
2025-08-26T21:24:32.1040186Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0, line 395 <- wrt source file
2025-08-26T21:24:32.1040964Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0
2025-08-26T21:24:32.1041831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0, line 630 <- wrt source file
2025-08-26T21:24:32.1042706Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0
2025-08-26T21:24:32.1043812Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 894 <- wrt source file
2025-08-26T21:24:32.1044832Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0
2025-08-26T21:24:32.1045807Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1010 <- wrt source file
2025-08-26T21:24:32.1046600Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0
2025-08-26T21:24:32.1047365Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1109 <- wrt source file
2025-08-26T21:24:32.1048301Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0
2025-08-26T21:24:32.1049062Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file
2025-08-26T21:24:32.1049856Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0
2025-08-26T21:24:32.1050642Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file
2025-08-26T21:24:32.1051478Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0
2025-08-26T21:24:32.1052294Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file
2025-08-26T21:24:32.1053259Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0
2025-08-26T21:24:32.1054120Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 238 <- wrt source file
2025-08-26T21:24:32.1054988Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0
2025-08-26T21:24:32.1055781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 53 <- wrt source file
2025-08-26T21:24:32.1056579Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0
2025-08-26T21:24:32.1057378Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 110 <- wrt source file
2025-08-26T21:24:32.1070262Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0
2025-08-26T21:24:32.1071355Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 147 <- wrt source file
2025-08-26T21:24:32.1085483Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0
2025-08-26T21:24:32.1087199Z * 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
2025-08-26T21:24:32.1088547Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0
2025-08-26T21:24:32.1089574Z * 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
2025-08-26T21:24:32.1090574Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0
2025-08-26T21:24:32.1091611Z * 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
2025-08-26T21:24:32.1092856Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0
2025-08-26T21:24:32.1093947Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 487 <- wrt source file
2025-08-26T21:24:32.1101630Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-08-26T21:24:32.1102568Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 753 <- wrt source file
2025-08-26T21:24:32.1117270Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2025-08-26T21:24:32.1118533Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file
2025-08-26T21:24:32.1119836Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0
2025-08-26T21:24:32.1121110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0, line 745 <- wrt source file
2025-08-26T21:24:32.1122499Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0
2025-08-26T21:24:32.1123678Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0, line 880 <- wrt source file
2025-08-26T21:24:32.1124857Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0
2025-08-26T21:24:32.1126017Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 953 <- wrt source file
2025-08-26T21:24:32.1127326Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0
2025-08-26T21:24:32.1128570Z * 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
2025-08-26T21:24:32.1129746Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0
2025-08-26T21:24:32.1130827Z * 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
2025-08-26T21:24:32.1131669Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0
2025-08-26T21:24:32.1132426Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 85 <- wrt source file
2025-08-26T21:24:32.1133165Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0
2025-08-26T21:24:32.1133939Z * 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
2025-08-26T21:24:32.1134755Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
2025-08-26T21:24:32.1135547Z * 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
2025-08-26T21:24:32.1136633Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
2025-08-26T21:24:32.1137627Z * 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
2025-08-26T21:24:32.1138689Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-08-26T21:24:32.1139713Z * 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
2025-08-26T21:24:32.1140973Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0
2025-08-26T21:24:32.1141933Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-08-26T21:24:32.1142725Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0
2025-08-26T21:24:32.1143740Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 431 <- wrt source file
2025-08-26T21:24:32.1144650Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0
2025-08-26T21:24:32.1145551Z * 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
2025-08-26T21:24:32.1146687Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0
2025-08-26T21:24:32.1147592Z * 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
2025-08-26T21:24:32.1148604Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0
2025-08-26T21:24:32.1149761Z * 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
2025-08-26T21:24:32.1150912Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0
2025-08-26T21:24:32.1151968Z * 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
2025-08-26T21:24:32.1152909Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0
2025-08-26T21:24:32.1153981Z * 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
2025-08-26T21:24:32.1154936Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0
2025-08-26T21:24:32.1155931Z * 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
2025-08-26T21:24:32.1156838Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_reduce:0
2025-08-26T21:24:32.1157729Z * 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
2025-08-26T21:24:32.1158680Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0
2025-08-26T21:24:32.1159700Z * 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
2025-08-26T21:24:32.1160610Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather_object:0
2025-08-26T21:24:32.1161642Z * 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
2025-08-26T21:24:32.1162590Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0
2025-08-26T21:24:32.1163579Z * 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
2025-08-26T21:24:32.1164688Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0
2025-08-26T21:24:32.1165747Z * 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
2025-08-26T21:24:32.1167121Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0
2025-08-26T21:24:32.1168163Z * 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
2025-08-26T21:24:32.1169137Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0
2025-08-26T21:24:32.1170373Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0, line 3817 <- wrt source file
2025-08-26T21:24:32.1171679Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0
2025-08-26T21:24:32.1172956Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 3924 <- wrt source file
2025-08-26T21:24:32.1173960Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0
2025-08-26T21:24:32.1174912Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4062 <- wrt source file
2025-08-26T21:24:32.1175876Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0
2025-08-26T21:24:32.1176763Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather:0, line 4168 <- wrt source file
2025-08-26T21:24:32.1177641Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather:0
2025-08-26T21:24:32.1178498Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter:0, line 4253 <- wrt source file
2025-08-26T21:24:32.1179381Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter:0
2025-08-26T21:24:32.1180276Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0, line 4391 <- wrt source file
2025-08-26T21:24:32.1181254Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0
2025-08-26T21:24:32.1182179Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all_single:0, line 4533 <- wrt source file
2025-08-26T21:24:32.1183108Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all_single:0
2025-08-26T21:24:32.1183986Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all:0, line 4667 <- wrt source file
2025-08-26T21:24:32.1184994Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all:0
2025-08-26T21:24:32.1193641Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0, line 4873 <- wrt source file
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2025-08-26T21:24:32.1196692Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0, line 5415 <- wrt source file
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2025-08-26T21:24:32.1198636Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0, line 5509 <- wrt source file
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2025-08-26T21:24:32.1201355Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/launch.py::__doc__:0, line 84 <- wrt source file
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2025-08-26T21:24:32.1203580Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/run.py::__doc__:0, line 57 <- wrt source file
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2025-08-26T21:24:32.1205472Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/autograd/__init__.py::context:0, line 47 <- wrt source file
2025-08-26T21:24:32.1206401Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/autograd/__init__.py::context:0
2025-08-26T21:24:32.1207340Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0, line 53 <- wrt source file
2025-08-26T21:24:32.1208366Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0
2025-08-26T21:24:32.1209818Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/contract.py::contract:0, line 66 <- wrt source file
2025-08-26T21:24:32.1210928Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/contract.py::contract:0
2025-08-26T21:24:32.1212436Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate.py::replicate:0, line 190 <- wrt source file
2025-08-26T21:24:32.1213641Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate.py::replicate:0
2025-08-26T21:24:32.1214853Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate_with_fsdp.py::replicate:0, line 247 <- wrt source file
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2025-08-26T21:24:32.1217482Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0, line 31 <- wrt source file
2025-08-26T21:24:32.1218950Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0
2025-08-26T21:24:32.1220296Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::init_from_local_shards:0, line 384 <- wrt source file
2025-08-26T21:24:32.1221753Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::init_from_local_shards:0
2025-08-26T21:24:32.1223038Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::custom_sharded_op_impl:0, line 457 <- wrt source file
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2025-08-26T21:24:32.1225744Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/api.py::ShardedTensor._init_from_local_tensor:0, line 856 <- wrt source file
2025-08-26T21:24:32.1227090Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/api.py::ShardedTensor._init_from_local_tensor:0
2025-08-26T21:24:32.1228345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/api.py::ShardedTensor.reshard:0, line 1094 <- wrt source file
2025-08-26T21:24:32.1229526Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/api.py::ShardedTensor.reshard:0
2025-08-26T21:24:32.1230542Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/_common.py::_sharded_op_common:0, line 18 <- wrt source file
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2025-08-26T21:24:32.1232667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharding_plan/api.py::ShardingPlan:0, line 36 <- wrt source file
2025-08-26T21:24:32.1233764Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharding_plan/api.py::ShardingPlan:0
2025-08-26T21:24:32.1234928Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::put:0, line 142 <- wrt source file
2025-08-26T21:24:32.1236205Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::put:0
2025-08-26T21:24:32.1237286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::get:0, line 195 <- wrt source file
2025-08-26T21:24:32.1238474Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::get:0
2025-08-26T21:24:32.1239628Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::putmem_signal_block:0, line 268 <- wrt source file
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2025-08-26T21:24:32.1242099Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::wait_until:0, line 323 <- wrt source file
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2025-08-26T21:24:32.1244793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_wait_until:0, line 386 <- wrt source file
2025-08-26T21:24:32.1245891Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_wait_until:0
2025-08-26T21:24:32.1246996Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_op:0, line 437 <- wrt source file
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2025-08-26T21:24:32.1249505Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::fence:0, line 490 <- wrt source file
2025-08-26T21:24:32.1250491Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::fence:0
2025-08-26T21:24:32.1251647Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::quiet:0, line 536 <- wrt source file
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2025-08-26T21:24:32.1253713Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::my_pe:0, line 580 <- wrt source file
2025-08-26T21:24:32.1254797Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::my_pe:0
2025-08-26T21:24:32.1255977Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::n_pes:0, line 623 <- wrt source file
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2025-08-26T21:24:32.1258503Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::barrier_all:0, line 674 <- wrt source file
2025-08-26T21:24:32.1259853Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::barrier_all:0
2025-08-26T21:24:32.1261148Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::sync_all:0, line 720 <- wrt source file
2025-08-26T21:24:32.1262382Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::sync_all:0
2025-08-26T21:24:32.1263523Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::alltoall:0, line 759 <- wrt source file
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2025-08-26T21:24:32.1265470Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::broadcast:0, line 814 <- wrt source file
2025-08-26T21:24:32.1266450Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::broadcast:0
2025-08-26T21:24:32.1267409Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::reduce:0, line 875 <- wrt source file
2025-08-26T21:24:32.1268369Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::reduce:0
2025-08-26T21:24:32.1269461Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::reduce_extern_wrapper:0, line 921 <- wrt source file
2025-08-26T21:24:32.1270598Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::reduce_extern_wrapper:0
2025-08-26T21:24:32.1271573Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0, line 55 <- wrt source file
2025-08-26T21:24:32.1272533Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0
2025-08-26T21:24:32.1273436Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file
2025-08-26T21:24:32.1274312Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-08-26T21:24:32.1275295Z * 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
2025-08-26T21:24:32.1276508Z * 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
2025-08-26T21:24:32.1277565Z * DOCTEST : /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
2025-08-26T21:24:32.1278630Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0
2025-08-26T21:24:32.1279684Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0, line 49 <- wrt source file
2025-08-26T21:24:32.1280760Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0
2025-08-26T21:24:32.1281828Z * DOCTEST : /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
2025-08-26T21:24:32.1282928Z * 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
2025-08-26T21:24:32.1283992Z * 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
2025-08-26T21:24:32.1285089Z * 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
2025-08-26T21:24:32.1286623Z * 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
2025-08-26T21:24:32.1288005Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0
2025-08-26T21:24:32.1289250Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0, line 182 <- wrt source file
2025-08-26T21:24:32.1290403Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0
2025-08-26T21:24:32.1291978Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py::post_localSGD_hook:0, line 91 <- wrt source file
2025-08-26T21:24:32.1293549Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py::post_localSGD_hook:0
2025-08-26T21:24:32.1294901Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::powerSGD_hook:0, line 395 <- wrt source file
2025-08-26T21:24:32.1295998Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::powerSGD_hook:0
2025-08-26T21:24:32.1297076Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0, line 708 <- wrt source file
2025-08-26T21:24:32.1298215Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0
2025-08-26T21:24:32.1299359Z * 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
2025-08-26T21:24:32.1300577Z * 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
2025-08-26T21:24:32.1301763Z * 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
2025-08-26T21:24:32.1302984Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0
2025-08-26T21:24:32.1304145Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/averagers.py::PeriodicModelAverager:0, line 57 <- wrt source file
2025-08-26T21:24:32.1305289Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/averagers.py::PeriodicModelAverager:0
2025-08-26T21:24:32.1306489Z * 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
2025-08-26T21:24:32.1307782Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py::HierarchicalModelAverager:0
2025-08-26T21:24:32.1308961Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::BroadcastingTorchSaveReader:0, line 49 <- wrt source file
2025-08-26T21:24:32.1310073Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::BroadcastingTorchSaveReader:0
2025-08-26T21:24:32.1311126Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 161 <- wrt source file
2025-08-26T21:24:32.1312175Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0
2025-08-26T21:24:32.1313227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 225 <- wrt source file
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2025-08-26T21:24:32.1315409Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1144 <- wrt source file
2025-08-26T21:24:32.1316490Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0
2025-08-26T21:24:32.1317526Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0, line 1395 <- wrt source file
2025-08-26T21:24:32.1318544Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0
2025-08-26T21:24:32.1319563Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0, line 1454 <- wrt source file
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2025-08-26T21:24:32.1321583Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_loader.py::load:0, line 131 <- wrt source file
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2025-08-26T21:24:32.1323446Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::save:0, line 159 <- wrt source file
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2025-08-26T21:24:32.1325335Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0, line 273 <- wrt source file
2025-08-26T21:24:32.1326312Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0
2025-08-26T21:24:32.1327313Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/barriers.py::BarrierConfig:0, line 50 <- wrt source file
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2025-08-26T21:24:32.1329407Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_sync_checkpointer:0, line 77 <- wrt source file
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2025-08-26T21:24:32.1331562Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_async_checkpointer:0, line 138 <- wrt source file
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2025-08-26T21:24:32.1333748Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer:0, line 104 <- wrt source file
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2025-08-26T21:24:32.1335934Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer.save:0, line 142 <- wrt source file
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2025-08-26T21:24:32.1338235Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer:0, line 213 <- wrt source file
2025-08-26T21:24:32.1339429Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer:0
2025-08-26T21:24:32.1340527Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0, line 260 <- wrt source file
2025-08-26T21:24:32.1341668Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0
2025-08-26T21:24:32.1342777Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0, line 206 <- wrt source file
2025-08-26T21:24:32.1344129Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0
2025-08-26T21:24:32.1345196Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0, line 110 <- wrt source file
2025-08-26T21:24:32.1346291Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0
2025-08-26T21:24:32.1347363Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0, line 231 <- wrt source file
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2025-08-26T21:24:32.1349715Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0, line 141 <- wrt source file
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2025-08-26T21:24:32.1352336Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::MixedPrecision:0, line 202 <- wrt source file
2025-08-26T21:24:32.1353526Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::MixedPrecision:0
2025-08-26T21:24:32.1354796Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::StateDictType:0, line 262 <- wrt source file
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2025-08-26T21:24:32.1357552Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0, line 125 <- wrt source file
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2025-08-26T21:24:32.1359870Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0, line 651 <- wrt source file
2025-08-26T21:24:32.1361244Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0
2025-08-26T21:24:32.1362711Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.state_dict_type:0, line 798 <- wrt source file
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2025-08-26T21:24:32.1365301Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0, line 1490 <- wrt source file
2025-08-26T21:24:32.1366594Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0
2025-08-26T21:24:32.1368117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1610 <- wrt source file
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2025-08-26T21:24:32.1370688Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0, line 1695 <- wrt source file
2025-08-26T21:24:32.1371951Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0
2025-08-26T21:24:32.1373382Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict:0, line 1824 <- wrt source file
2025-08-26T21:24:32.1374630Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict:0
2025-08-26T21:24:32.1375871Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict_to_load:0, line 1911 <- wrt source file
2025-08-26T21:24:32.1377142Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict_to_load:0
2025-08-26T21:24:32.1378461Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0, line 54 <- wrt source file
2025-08-26T21:24:32.1379512Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0
2025-08-26T21:24:32.1380436Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 224 <- wrt source file
2025-08-26T21:24:32.1381314Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0
2025-08-26T21:24:32.1382185Z * 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
2025-08-26T21:24:32.1383348Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0
2025-08-26T21:24:32.1384320Z * 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
2025-08-26T21:24:32.1385428Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.__init__:0
2025-08-26T21:24:32.1386471Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.init_from_module_rref:0, line 520 <- wrt source file
2025-08-26T21:24:32.1387744Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.init_from_module_rref:0
2025-08-26T21:24:32.1388852Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0, line 643 <- wrt source file
2025-08-26T21:24:32.1389798Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0
2025-08-26T21:24:32.1390826Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0, line 43 <- wrt source file
2025-08-26T21:24:32.1391955Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0
2025-08-26T21:24:32.1393071Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0, line 114 <- wrt source file
2025-08-26T21:24:32.1394343Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0
2025-08-26T21:24:32.1395753Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0, line 43 <- wrt source file
2025-08-26T21:24:32.1396790Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0
2025-08-26T21:24:32.1397770Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/optimizer.py::DistributedOptimizer:0, line 162 <- wrt source file
2025-08-26T21:24:32.1398762Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/optimizer.py::DistributedOptimizer:0
2025-08-26T21:24:32.1399798Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/post_localSGD_optimizer.py::PostLocalSGDOptimizer:0, line 19 <- wrt source file
2025-08-26T21:24:32.1400883Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/post_localSGD_optimizer.py::PostLocalSGDOptimizer:0
2025-08-26T21:24:32.1402143Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0, line 37 <- wrt source file
2025-08-26T21:24:32.1403115Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0
2025-08-26T21:24:32.1404149Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0, line 335 <- wrt source file
2025-08-26T21:24:32.1405258Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0
2025-08-26T21:24:32.1406456Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0, line 333 <- wrt source file
2025-08-26T21:24:32.1407354Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0
2025-08-26T21:24:32.1408376Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0, line 34 <- wrt source file
2025-08-26T21:24:32.1409359Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0
2025-08-26T21:24:32.1410692Z * 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
2025-08-26T21:24:32.1411765Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0
2025-08-26T21:24:32.1412802Z * 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
2025-08-26T21:24:32.1413873Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0
2025-08-26T21:24:32.1414898Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 174 <- wrt source file
2025-08-26T21:24:32.1415852Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::_wait_all:0
2025-08-26T21:24:32.1416657Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 345 <- wrt source file
2025-08-26T21:24:32.1417473Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::shutdown:0
2025-08-26T21:24:32.1418264Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::remote:0, line 606 <- wrt source file
2025-08-26T21:24:32.1419202Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::remote:0
2025-08-26T21:24:32.1420105Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_sync:0, line 786 <- wrt source file
2025-08-26T21:24:32.1420923Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_sync:0
2025-08-26T21:24:32.1421729Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_async:0, line 878 <- wrt source file
2025-08-26T21:24:32.1422551Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_async:0
2025-08-26T21:24:32.1423401Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0, line 34 <- wrt source file
2025-08-26T21:24:32.1424325Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0
2025-08-26T21:24:32.1425553Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0, line 125 <- wrt source file
2025-08-26T21:24:32.1426688Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0
2025-08-26T21:24:32.1427782Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0, line 60 <- wrt source file
2025-08-26T21:24:32.1429024Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0
2025-08-26T21:24:32.1430250Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0, line 837 <- wrt source file
2025-08-26T21:24:32.1431151Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0
2025-08-26T21:24:32.1432117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0, line 294 <- wrt source file
2025-08-26T21:24:32.1433269Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0
2025-08-26T21:24:32.1434272Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0, line 230 <- wrt source file
2025-08-26T21:24:32.1435249Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0
2025-08-26T21:24:32.1436323Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0, line 103 <- wrt source file
2025-08-26T21:24:32.1437307Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0
2025-08-26T21:24:32.1438343Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_register_sharding.py::register_sharding:0, line 47 <- wrt source file
2025-08-26T21:24:32.1439442Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_register_sharding.py::register_sharding:0
2025-08-26T21:24:32.1440471Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 56 <- wrt source file
2025-08-26T21:24:32.1441463Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0
2025-08-26T21:24:32.1442439Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0, line 88 <- wrt source file
2025-08-26T21:24:32.1443742Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0
2025-08-26T21:24:32.1444876Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0, line 56 <- wrt source file
2025-08-26T21:24:32.1445847Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0
2025-08-26T21:24:32.1446802Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0, line 64 <- wrt source file
2025-08-26T21:24:32.1447798Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0
2025-08-26T21:24:32.1449010Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file
2025-08-26T21:24:32.1450036Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0
2025-08-26T21:24:32.1451014Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file
2025-08-26T21:24:32.1452009Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0
2025-08-26T21:24:32.1453127Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file
2025-08-26T21:24:32.1454412Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0
2025-08-26T21:24:32.1455553Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0, line 615 <- wrt source file
2025-08-26T21:24:32.1456581Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0
2025-08-26T21:24:32.1457616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0, line 740 <- wrt source file
2025-08-26T21:24:32.1458696Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0
2025-08-26T21:24:32.1459627Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-08-26T21:24:32.1460491Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-08-26T21:24:32.1461285Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-08-26T21:24:32.1462280Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0
2025-08-26T21:24:32.1463112Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-08-26T21:24:32.1463963Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0
2025-08-26T21:24:32.1464824Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-08-26T21:24:32.1465719Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0
2025-08-26T21:24:32.1466554Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-08-26T21:24:32.1467496Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-08-26T21:24:32.1468365Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-08-26T21:24:32.1469160Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0
2025-08-26T21:24:32.1470032Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 166 <- wrt source file
2025-08-26T21:24:32.1470931Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-08-26T21:24:32.1471844Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 187 <- wrt source file
2025-08-26T21:24:32.1472789Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-08-26T21:24:32.1473994Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-08-26T21:24:32.1475121Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-08-26T21:24:32.1476169Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 42 <- wrt source file
2025-08-26T21:24:32.1477116Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-08-26T21:24:32.1478119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-08-26T21:24:32.1479065Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0
2025-08-26T21:24:32.1479963Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-08-26T21:24:32.1480917Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-08-26T21:24:32.1481763Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-08-26T21:24:32.1482584Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0
2025-08-26T21:24:32.1483471Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-08-26T21:24:32.1484845Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-08-26T21:24:32.1486067Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-08-26T21:24:32.1487258Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0
2025-08-26T21:24:32.1488369Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-08-26T21:24:32.1489483Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-08-26T21:24:32.1490603Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-08-26T21:24:32.1491795Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-08-26T21:24:32.1492950Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-08-26T21:24:32.1494150Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-08-26T21:24:32.1495378Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-08-26T21:24:32.1496597Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0
2025-08-26T21:24:32.1497791Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-08-26T21:24:32.1499030Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-08-26T21:24:32.1500222Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-08-26T21:24:32.1501532Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-08-26T21:24:32.1502682Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-08-26T21:24:32.1503901Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0
2025-08-26T21:24:32.1505046Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-08-26T21:24:32.1506265Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-08-26T21:24:32.1507416Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-08-26T21:24:32.1508588Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-08-26T21:24:32.1509786Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-08-26T21:24:32.1511069Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-08-26T21:24:32.1512444Z * 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
2025-08-26T21:24:32.1513964Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0
2025-08-26T21:24:32.1515350Z * 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
2025-08-26T21:24:32.1516807Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0
2025-08-26T21:24:32.1518065Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-08-26T21:24:32.1519275Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-08-26T21:24:32.1520543Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-08-26T21:24:32.1521921Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-08-26T21:24:32.1523125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-08-26T21:24:32.1524227Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0
2025-08-26T21:24:32.1525433Z * 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
2025-08-26T21:24:32.1526774Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-08-26T21:24:32.1527965Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-08-26T21:24:32.1529078Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0
2025-08-26T21:24:32.1530281Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-08-26T21:24:32.1531413Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0
2025-08-26T21:24:32.1532703Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 127 <- wrt source file
2025-08-26T21:24:32.1534031Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0
2025-08-26T21:24:32.1535383Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 116 <- wrt source file
2025-08-26T21:24:32.1536821Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0
2025-08-26T21:24:32.1538076Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-08-26T21:24:32.1539552Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0
2025-08-26T21:24:32.1540745Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1065 <- wrt source file
2025-08-26T21:24:32.1541916Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-08-26T21:24:32.1543001Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1177 <- wrt source file
2025-08-26T21:24:32.1543955Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-08-26T21:24:32.1544939Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1253 <- wrt source file
2025-08-26T21:24:32.1545995Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-08-26T21:24:32.1546906Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-08-26T21:24:32.1547973Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0
2025-08-26T21:24:32.1548801Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-08-26T21:24:32.1558996Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-08-26T21:24:32.1566642Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 117 <- wrt source file
2025-08-26T21:24:32.1567730Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-08-26T21:24:32.1568740Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-08-26T21:24:32.1572142Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0
2025-08-26T21:24:32.1573170Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-08-26T21:24:32.1574132Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0
2025-08-26T21:24:32.1575068Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 103 <- wrt source file
2025-08-26T21:24:32.1576229Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0
2025-08-26T21:24:32.1577390Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 715 <- wrt source file
2025-08-26T21:24:32.1578511Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-08-26T21:24:32.1579398Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 731 <- wrt source file
2025-08-26T21:24:32.1580431Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1
2025-08-26T21:24:32.1581541Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 815 <- wrt source file
2025-08-26T21:24:32.1582834Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-08-26T21:24:32.1583925Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0, line 102 <- wrt source file
2025-08-26T21:24:32.1584951Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0
2025-08-26T21:24:32.1586041Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 1873 <- wrt source file
2025-08-26T21:24:32.1587663Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2025-08-26T21:24:32.1588557Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 1967 <- wrt source file
2025-08-26T21:24:32.1589479Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.on_generate_code:0
2025-08-26T21:24:32.1590347Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0, line 49 <- wrt source file
2025-08-26T21:24:32.1591279Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0
2025-08-26T21:24:32.1592118Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0, line 480 <- wrt source file
2025-08-26T21:24:32.1593073Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0
2025-08-26T21:24:32.1593909Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0, line 125 <- wrt source file
2025-08-26T21:24:32.1594904Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0
2025-08-26T21:24:32.1595820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file
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2025-08-26T21:24:32.1597562Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_consistent:0, line 65 <- wrt source file
2025-08-26T21:24:32.1598370Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_consistent:0
2025-08-26T21:24:32.1599264Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_more_precise:0, line 93 <- wrt source file
2025-08-26T21:24:32.1600087Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_more_precise:0
2025-08-26T21:24:32.1601054Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0, line 96 <- wrt source file
2025-08-26T21:24:32.1602045Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0
2025-08-26T21:24:32.1602973Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/core.py::reify:0, line 58 <- wrt source file
2025-08-26T21:24:32.1603872Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/core.py::reify:0
2025-08-26T21:24:32.1604800Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0, line 48 <- wrt source file
2025-08-26T21:24:32.1605776Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
2025-08-26T21:24:32.1606708Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unifiable:0, line 11 <- wrt source file
2025-08-26T21:24:32.1607639Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unifiable:0
2025-08-26T21:24:32.1608552Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::reify_object:0, line 37 <- wrt source file
2025-08-26T21:24:32.1609499Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::reify_object:0
2025-08-26T21:24:32.1610421Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unify_object:0, line 93 <- wrt source file
2025-08-26T21:24:32.1611358Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unify_object:0
2025-08-26T21:24:32.1612312Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0, line 37 <- wrt source file
2025-08-26T21:24:32.1625166Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
2025-08-26T21:24:32.1626431Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0, line 64 <- wrt source file
2025-08-26T21:24:32.1629142Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
2025-08-26T21:24:32.1630466Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0, line 90 <- wrt source file
2025-08-26T21:24:32.1632577Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
2025-08-26T21:24:32.1633824Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0, line 106 <- wrt source file
2025-08-26T21:24:32.1636159Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
2025-08-26T21:24:32.1637330Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0, line 122 <- wrt source file
2025-08-26T21:24:32.1639758Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0
2025-08-26T21:24:32.1640938Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0, line 138 <- wrt source file
2025-08-26T21:24:32.1644133Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
2025-08-26T21:24:32.1645170Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0, line 158 <- wrt source file
2025-08-26T21:24:32.1648970Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0
2025-08-26T21:24:32.1650048Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0, line 178 <- wrt source file
2025-08-26T21:24:32.1654039Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
2025-08-26T21:24:32.1655091Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0, line 204 <- wrt source file
2025-08-26T21:24:32.1657455Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
2025-08-26T21:24:32.1658466Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0, line 221 <- wrt source file
2025-08-26T21:24:32.1662286Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
2025-08-26T21:24:32.1663287Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0, line 247 <- wrt source file
2025-08-26T21:24:32.1666524Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0
2025-08-26T21:24:32.1667821Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0, line 275 <- wrt source file
2025-08-26T21:24:32.1673777Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0
2025-08-26T21:24:32.1674889Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0, line 328 <- wrt source file
2025-08-26T21:24:32.1682322Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0
2025-08-26T21:24:32.1683345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0, line 375 <- wrt source file
2025-08-26T21:24:32.1686544Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0
2025-08-26T21:24:32.1687554Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0, line 416 <- wrt source file
2025-08-26T21:24:32.1689716Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
2025-08-26T21:24:32.1690843Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0, line 15 <- wrt source file
2025-08-26T21:24:32.1694268Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
2025-08-26T21:24:32.1695582Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0, line 42 <- wrt source file
2025-08-26T21:24:32.1696540Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0
2025-08-26T21:24:32.1697474Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0, line 70 <- wrt source file
2025-08-26T21:24:32.1698976Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-08-26T21:24:32.1699913Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::freeze:0, line 95 <- wrt source file
2025-08-26T21:24:32.1702755Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
2025-08-26T21:24:32.1703727Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/variable.py::variables:0, line 67 <- wrt source file
2025-08-26T21:24:32.1705370Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/variable.py::variables:0
2025-08-26T21:24:32.1706385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0, line 20 <- wrt source file
2025-08-26T21:24:32.1709269Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0
2025-08-26T21:24:32.1710565Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0, line 113 <- wrt source file
2025-08-26T21:24:32.1712123Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0
2025-08-26T21:24:32.1713330Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0, line 138 <- wrt source file
2025-08-26T21:24:32.1714648Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0
2025-08-26T21:24:32.1715940Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0, line 191 <- wrt source file
2025-08-26T21:24:32.1717285Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0
2025-08-26T21:24:32.1718465Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0, line 304 <- wrt source file
2025-08-26T21:24:32.1719666Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0
2025-08-26T21:24:32.1720812Z * 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
2025-08-26T21:24:32.1722201Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-08-26T21:24:32.1723313Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0, line 18 <- wrt source file
2025-08-26T21:24:32.1724485Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-08-26T21:24:32.1725709Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 41 <- wrt source file
2025-08-26T21:24:32.1726800Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-08-26T21:24:32.1727861Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 68 <- wrt source file
2025-08-26T21:24:32.1730125Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-08-26T21:24:32.1731210Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 87 <- wrt source file
2025-08-26T21:24:32.1734388Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-08-26T21:24:32.1735479Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 117 <- wrt source file
2025-08-26T21:24:32.1738687Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-08-26T21:24:32.1739847Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0, line 47 <- wrt source file
2025-08-26T21:24:32.1741222Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0
2025-08-26T21:24:32.1742346Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0, line 83 <- wrt source file
2025-08-26T21:24:32.1743619Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0
2025-08-26T21:24:32.1744639Z * 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
2025-08-26T21:24:32.1797856Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-08-26T21:24:32.1799021Z * 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
2025-08-26T21:24:32.1800224Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-08-26T21:24:32.1801659Z * 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
2025-08-26T21:24:32.1803395Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-08-26T21:24:32.1805119Z * 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
2025-08-26T21:24:32.1806553Z * 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
2025-08-26T21:24:32.1807744Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 36 <- wrt source file
2025-08-26T21:24:32.1808712Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
2025-08-26T21:24:32.1809622Z * 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
2025-08-26T21:24:32.1810543Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0
2025-08-26T21:24:32.1811481Z * 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
2025-08-26T21:24:32.1812455Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-08-26T21:24:32.1813376Z * 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
2025-08-26T21:24:32.1814279Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-08-26T21:24:32.1815096Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1530 <- wrt source file
2025-08-26T21:24:32.1823285Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0
2025-08-26T21:24:32.1824442Z * 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
2025-08-26T21:24:32.1825608Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-08-26T21:24:32.1826751Z * 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
2025-08-26T21:24:32.1861781Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-08-26T21:24:32.1863098Z * 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
2025-08-26T21:24:32.2500207Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-08-26T21:24:32.2527058Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2174 <- wrt source file
2025-08-26T21:24:32.2536564Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-08-26T21:24:32.2537667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2478 <- wrt source file
2025-08-26T21:24:32.2547804Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0
2025-08-26T21:24:32.2548881Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2618 <- wrt source file
2025-08-26T21:24:32.2561277Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0
2025-08-26T21:24:32.2562364Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3051 <- wrt source file
2025-08-26T21:24:32.2576254Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0
2025-08-26T21:24:32.2577306Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3121 <- wrt source file
2025-08-26T21:24:32.2582938Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0
2025-08-26T21:24:32.2584013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3430 <- wrt source file
2025-08-26T21:24:32.2591948Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0
2025-08-26T21:24:32.2593097Z * 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
2025-08-26T21:24:32.2598349Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-08-26T21:24:32.2599573Z * 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
2025-08-26T21:24:32.2604699Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-08-26T21:24:32.2605819Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5263 <- wrt source file
2025-08-26T21:24:32.2615285Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0
2025-08-26T21:24:32.2616290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-08-26T21:24:32.2624067Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0
2025-08-26T21:24:32.2625088Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-08-26T21:24:32.2628910Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-08-26T21:24:32.2629947Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-08-26T21:24:32.2636149Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0
2025-08-26T21:24:32.2637189Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-08-26T21:24:32.2640981Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-08-26T21:24:32.2642012Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-08-26T21:24:32.2668209Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0
2025-08-26T21:24:32.2669237Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-08-26T21:24:32.2684189Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-08-26T21:24:32.2685226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 171 <- wrt source file
2025-08-26T21:24:32.2687738Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0
2025-08-26T21:24:32.2688760Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 230 <- wrt source file
2025-08-26T21:24:32.2690973Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0
2025-08-26T21:24:32.2691942Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 257 <- wrt source file
2025-08-26T21:24:32.2694222Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0
2025-08-26T21:24:32.2695210Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 292 <- wrt source file
2025-08-26T21:24:32.2698208Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0
2025-08-26T21:24:32.2699212Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 306 <- wrt source file
2025-08-26T21:24:32.2701587Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0
2025-08-26T21:24:32.2702550Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 323 <- wrt source file
2025-08-26T21:24:32.2704751Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0
2025-08-26T21:24:32.2705702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 336 <- wrt source file
2025-08-26T21:24:32.2707852Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0
2025-08-26T21:24:32.2708808Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 352 <- wrt source file
2025-08-26T21:24:32.2711167Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0
2025-08-26T21:24:32.2712139Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 374 <- wrt source file
2025-08-26T21:24:32.2715916Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0
2025-08-26T21:24:32.2716924Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 460 <- wrt source file
2025-08-26T21:24:32.2719611Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-08-26T21:24:32.2720641Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 492 <- wrt source file
2025-08-26T21:24:32.2722774Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0
2025-08-26T21:24:32.2723810Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 543 <- wrt source file
2025-08-26T21:24:32.2726279Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-08-26T21:24:32.2727310Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 608 <- wrt source file
2025-08-26T21:24:32.2729741Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-08-26T21:24:32.2730761Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 647 <- wrt source file
2025-08-26T21:24:32.2731889Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0
2025-08-26T21:24:32.2732875Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 700 <- wrt source file
2025-08-26T21:24:32.2735330Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0
2025-08-26T21:24:32.2736404Z * 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
2025-08-26T21:24:32.2737544Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-08-26T21:24:32.2738640Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 95 <- wrt source file
2025-08-26T21:24:32.2739559Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-08-26T21:24:32.2740416Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-08-26T21:24:32.2743326Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-08-26T21:24:32.2744154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file
2025-08-26T21:24:32.2749998Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-08-26T21:24:32.2750826Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file
2025-08-26T21:24:32.2754338Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-08-26T21:24:32.2755185Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file
2025-08-26T21:24:32.2759045Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-08-26T21:24:32.2759874Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file
2025-08-26T21:24:32.2763304Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-08-26T21:24:32.2764184Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file
2025-08-26T21:24:32.2767569Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-08-26T21:24:32.2768622Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file
2025-08-26T21:24:32.2771577Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-08-26T21:24:32.2772610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file
2025-08-26T21:24:32.2775503Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-08-26T21:24:32.2776293Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file
2025-08-26T21:24:32.2779663Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-08-26T21:24:32.2780618Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file
2025-08-26T21:24:32.2784155Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0
2025-08-26T21:24:32.2785331Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file
2025-08-26T21:24:32.2788452Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-08-26T21:24:32.2789496Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file
2025-08-26T21:24:32.2792829Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0
2025-08-26T21:24:32.2793816Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file
2025-08-26T21:24:32.2797118Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0
2025-08-26T21:24:32.2798118Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file
2025-08-26T21:24:32.2801255Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0
2025-08-26T21:24:32.2802222Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file
2025-08-26T21:24:32.2805634Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0
2025-08-26T21:24:32.2806599Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file
2025-08-26T21:24:32.2812713Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0
2025-08-26T21:24:32.2814115Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file
2025-08-26T21:24:32.2816969Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-08-26T21:24:32.2818384Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file
2025-08-26T21:24:32.2821839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-08-26T21:24:32.2823245Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file
2025-08-26T21:24:32.2825773Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-08-26T21:24:32.2826889Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file
2025-08-26T21:24:32.2830054Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-08-26T21:24:32.2831180Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file
2025-08-26T21:24:32.2834162Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-08-26T21:24:32.2835352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1144 <- wrt source file
2025-08-26T21:24:32.2836867Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-08-26T21:24:32.2838029Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1609 <- wrt source file
2025-08-26T21:24:32.2840352Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-08-26T21:24:32.2841477Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1660 <- wrt source file
2025-08-26T21:24:32.2844734Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-08-26T21:24:32.2845868Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1686 <- wrt source file
2025-08-26T21:24:32.2849036Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-08-26T21:24:32.2850156Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1724 <- wrt source file
2025-08-26T21:24:32.2853366Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-08-26T21:24:32.2854523Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1788 <- wrt source file
2025-08-26T21:24:32.2857367Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-08-26T21:24:32.2861730Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1835 <- wrt source file
2025-08-26T21:24:32.2862922Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-08-26T21:24:32.2864092Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1874 <- wrt source file
2025-08-26T21:24:32.2865500Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-08-26T21:24:32.2866631Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 332 <- wrt source file
2025-08-26T21:24:32.2873024Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-08-26T21:24:32.2874169Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 443 <- wrt source file
2025-08-26T21:24:32.3036246Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-08-26T21:24:32.3037419Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 554 <- wrt source file
2025-08-26T21:24:32.4849085Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-08-26T21:24:32.5038872Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 678 <- wrt source file
2025-08-26T21:24:32.5040719Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0
2025-08-26T21:24:32.5041926Z * 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
2025-08-26T21:24:32.5043865Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0
2025-08-26T21:24:32.5044932Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-08-26T21:24:32.5068397Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-08-26T21:24:32.5069631Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-08-26T21:24:32.5070798Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0
2025-08-26T21:24:32.5071972Z * 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
2025-08-26T21:24:32.5079682Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-08-26T21:24:32.5080927Z * 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
2025-08-26T21:24:32.5087629Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-08-26T21:24:32.5088832Z * 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
2025-08-26T21:24:32.5096763Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-08-26T21:24:32.5097934Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 343 <- wrt source file
2025-08-26T21:24:32.5099092Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-08-26T21:24:32.5100217Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 523 <- wrt source file
2025-08-26T21:24:32.5101363Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-08-26T21:24:32.5102502Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 653 <- wrt source file
2025-08-26T21:24:32.5103686Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-08-26T21:24:32.5104847Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 808 <- wrt source file
2025-08-26T21:24:32.5106021Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-08-26T21:24:32.5107183Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-08-26T21:24:32.5108778Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-08-26T21:24:32.5109948Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file
2025-08-26T21:24:32.5115929Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-08-26T21:24:32.5116827Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-08-26T21:24:32.5120785Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-08-26T21:24:32.5121667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file
2025-08-26T21:24:32.5125908Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-08-26T21:24:32.5126767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file
2025-08-26T21:24:32.5144776Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-08-26T21:24:32.5146187Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file
2025-08-26T21:24:32.5202031Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-08-26T21:24:32.5203172Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file
2025-08-26T21:24:32.5207286Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-08-26T21:24:32.5208475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file
2025-08-26T21:24:32.5266646Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-08-26T21:24:32.5268090Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file
2025-08-26T21:24:32.5273793Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-08-26T21:24:32.5274926Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 87 <- wrt source file
2025-08-26T21:24:32.5289121Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0
2025-08-26T21:24:32.5290176Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file
2025-08-26T21:24:32.5295338Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0
2025-08-26T21:24:32.5296370Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file
2025-08-26T21:24:32.5308946Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-08-26T21:24:32.5310093Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file
2025-08-26T21:24:32.5321250Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-08-26T21:24:32.5322475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file
2025-08-26T21:24:32.5463172Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-08-26T21:24:32.5464414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file
2025-08-26T21:24:32.7255356Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-08-26T21:24:32.7442736Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2025-08-26T21:24:32.7447842Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-08-26T21:24:32.7448931Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-08-26T21:24:32.7455692Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0
2025-08-26T21:24:32.7456737Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file
2025-08-26T21:24:32.7465219Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0
2025-08-26T21:24:32.7466574Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file
2025-08-26T21:24:32.7483119Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-08-26T21:24:32.7484191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file
2025-08-26T21:24:32.7491143Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-08-26T21:24:32.7492195Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 215 <- wrt source file
2025-08-26T21:24:32.7515338Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-08-26T21:24:32.7516562Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 329 <- wrt source file
2025-08-26T21:24:32.7522497Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-08-26T21:24:32.7523638Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 418 <- wrt source file
2025-08-26T21:24:32.7536756Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-08-26T21:24:32.7537861Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 535 <- wrt source file
2025-08-26T21:24:32.7545571Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-08-26T21:24:32.7546646Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 617 <- wrt source file
2025-08-26T21:24:32.7557496Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-08-26T21:24:32.7558601Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 703 <- wrt source file
2025-08-26T21:24:32.7559680Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-08-26T21:24:32.7560770Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 778 <- wrt source file
2025-08-26T21:24:32.7571422Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-08-26T21:24:32.7572785Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 826 <- wrt source file
2025-08-26T21:24:32.7577669Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-08-26T21:24:32.7579037Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 974 <- wrt source file
2025-08-26T21:24:32.7586372Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-08-26T21:24:32.7587540Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1306 <- wrt source file
2025-08-26T21:24:32.7595660Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-08-26T21:24:32.7596916Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1333 <- wrt source file
2025-08-26T21:24:32.7599391Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1
2025-08-26T21:24:32.7600562Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1495 <- wrt source file
2025-08-26T21:24:32.7608811Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-08-26T21:24:32.7610037Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1562 <- wrt source file
2025-08-26T21:24:32.7616196Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-08-26T21:24:32.7617367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1643 <- wrt source file
2025-08-26T21:24:32.7624737Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-08-26T21:24:32.7625901Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1745 <- wrt source file
2025-08-26T21:24:32.7636053Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-08-26T21:24:32.7637303Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1858 <- wrt source file
2025-08-26T21:24:32.7655079Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0
2025-08-26T21:24:32.7656568Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1990 <- wrt source file
2025-08-26T21:24:32.7677229Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0
2025-08-26T21:24:32.7678429Z * 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
2025-08-26T21:24:32.7679686Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-08-26T21:24:32.7680860Z * 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
2025-08-26T21:24:32.7692829Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-08-26T21:24:32.7694148Z * 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
2025-08-26T21:24:32.7701579Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0
2025-08-26T21:24:32.7702872Z * 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
2025-08-26T21:24:32.7704066Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-08-26T21:24:32.7705229Z * 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
2025-08-26T21:24:32.7706421Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-08-26T21:24:32.7707614Z * 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
2025-08-26T21:24:32.7708861Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-08-26T21:24:32.7710032Z * 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
2025-08-26T21:24:32.7711188Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-08-26T21:24:32.7712350Z * 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
2025-08-26T21:24:32.7713552Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-08-26T21:24:32.7714749Z * 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
2025-08-26T21:24:32.7716065Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-08-26T21:24:32.7717236Z * 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
2025-08-26T21:24:32.7718385Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-08-26T21:24:32.7719535Z * 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
2025-08-26T21:24:32.7720741Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-08-26T21:24:32.7721964Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-08-26T21:24:32.7745788Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-08-26T21:24:32.7747028Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file
2025-08-26T21:24:32.7755423Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-08-26T21:24:32.7756715Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file
2025-08-26T21:24:32.7763582Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-08-26T21:24:32.7764910Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 367 <- wrt source file
2025-08-26T21:24:32.7770060Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-08-26T21:24:32.7771356Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file
2025-08-26T21:24:32.7777116Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-08-26T21:24:32.7778258Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 122 <- wrt source file
2025-08-26T21:24:32.7801137Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-08-26T21:24:32.7802293Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 187 <- wrt source file
2025-08-26T21:24:33.2786245Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-08-26T21:24:33.3158686Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 241 <- wrt source file
2025-08-26T21:24:33.3169741Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-08-26T21:24:33.3170863Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 294 <- wrt source file
2025-08-26T21:24:33.3176273Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-08-26T21:24:33.3177170Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 350 <- wrt source file
2025-08-26T21:24:33.3197205Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-08-26T21:24:33.3198707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 395 <- wrt source file
2025-08-26T21:24:33.3204824Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-08-26T21:24:33.3205997Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 439 <- wrt source file
2025-08-26T21:24:33.3211322Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-08-26T21:24:33.3212530Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 497 <- wrt source file
2025-08-26T21:24:33.3216326Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-08-26T21:24:33.3217529Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 556 <- wrt source file
2025-08-26T21:24:33.3222797Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-08-26T21:24:33.3223975Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 600 <- wrt source file
2025-08-26T21:24:33.3229810Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-08-26T21:24:33.3231425Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 658 <- wrt source file
2025-08-26T21:24:33.7025408Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-08-26T21:24:33.7397119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 692 <- wrt source file
2025-08-26T21:24:33.7408385Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-08-26T21:24:33.7409458Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 750 <- wrt source file
2025-08-26T21:24:33.7414967Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-08-26T21:24:33.7416046Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 812 <- wrt source file
2025-08-26T21:24:33.7435202Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-08-26T21:24:33.7436510Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-08-26T21:24:33.7441773Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-08-26T21:24:33.7443209Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file
2025-08-26T21:24:33.7448049Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-08-26T21:24:33.7449253Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-08-26T21:24:33.7453546Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-08-26T21:24:33.7454687Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file
2025-08-26T21:24:33.7487626Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-08-26T21:24:33.7488743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file
2025-08-26T21:24:33.9073597Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-08-26T21:24:33.9139216Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file
2025-08-26T21:24:33.9153633Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-08-26T21:24:33.9155022Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file
2025-08-26T21:24:33.9174970Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0
2025-08-26T21:24:33.9176109Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file
2025-08-26T21:24:33.9672289Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-08-26T21:24:33.9673886Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file
2025-08-26T21:24:33.9684101Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-08-26T21:24:33.9685223Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file
2025-08-26T21:24:33.9713779Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-08-26T21:24:33.9714886Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file
2025-08-26T21:24:34.0922870Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-08-26T21:24:34.0989238Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file
2025-08-26T21:24:34.1026976Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-08-26T21:24:34.1028227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file
2025-08-26T21:24:34.1465601Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-08-26T21:24:34.1466813Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1152 <- wrt source file
2025-08-26T21:24:34.1473548Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-08-26T21:24:34.1474685Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1204 <- wrt source file
2025-08-26T21:24:34.1509157Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-08-26T21:24:34.1510300Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1264 <- wrt source file
2025-08-26T21:24:34.3035304Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-08-26T21:24:34.3100948Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1320 <- wrt source file
2025-08-26T21:24:34.3109444Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-08-26T21:24:34.3111013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1355 <- wrt source file
2025-08-26T21:24:34.3118346Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-08-26T21:24:34.3119577Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1399 <- wrt source file
2025-08-26T21:24:34.3134206Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-08-26T21:24:34.3135428Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1447 <- wrt source file
2025-08-26T21:24:34.3139336Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-08-26T21:24:34.3140953Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1481 <- wrt source file
2025-08-26T21:24:34.3147253Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-08-26T21:24:34.3148471Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1521 <- wrt source file
2025-08-26T21:24:34.3160982Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-08-26T21:24:34.3162063Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 595 <- wrt source file
2025-08-26T21:24:34.3172286Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-08-26T21:24:34.3173293Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 953 <- wrt source file
2025-08-26T21:24:34.3406454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-08-26T21:24:34.3407478Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1288 <- wrt source file
2025-08-26T21:24:34.3422504Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-08-26T21:24:34.3423590Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1537 <- wrt source file
2025-08-26T21:24:34.3432926Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-08-26T21:24:34.3433991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1659 <- wrt source file
2025-08-26T21:24:34.3443506Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-08-26T21:24:34.3444557Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1773 <- wrt source file
2025-08-26T21:24:34.3455381Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-08-26T21:24:34.3456473Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file
2025-08-26T21:24:34.3469740Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-08-26T21:24:34.3470904Z * 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
2025-08-26T21:24:34.3476289Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-08-26T21:24:34.3477476Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 322 <- wrt source file
2025-08-26T21:24:34.3492065Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0
2025-08-26T21:24:34.3493258Z * 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
2025-08-26T21:24:34.3499163Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-08-26T21:24:34.3500383Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 90 <- wrt source file
2025-08-26T21:24:35.0444402Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-08-26T21:24:35.0457177Z * 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
2025-08-26T21:24:35.0458836Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0
2025-08-26T21:24:35.0460083Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 336 <- wrt source file
2025-08-26T21:24:35.1402556Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-08-26T21:24:35.1406164Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 562 <- wrt source file
2025-08-26T21:24:35.3462995Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-08-26T21:24:35.3558352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 686 <- wrt source file
2025-08-26T21:24:35.3827259Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-08-26T21:24:35.3828626Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 995 <- wrt source file
2025-08-26T21:24:35.4320164Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-08-26T21:24:35.4321442Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-08-26T21:24:35.4347064Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-08-26T21:24:35.4348269Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file
2025-08-26T21:24:35.4359882Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-08-26T21:24:35.4361126Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file
2025-08-26T21:24:35.4368500Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-08-26T21:24:35.4369709Z * 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
2025-08-26T21:24:35.4371101Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-08-26T21:24:35.4372310Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 642 <- wrt source file
2025-08-26T21:24:35.4373608Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-08-26T21:24:35.4374895Z * 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
2025-08-26T21:24:35.4375969Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-08-26T21:24:35.4377323Z * 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
2025-08-26T21:24:35.4378381Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0
2025-08-26T21:24:35.4379607Z * 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
2025-08-26T21:24:35.4380718Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-08-26T21:24:35.4381799Z * 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
2025-08-26T21:24:35.4382900Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-08-26T21:24:35.4384005Z * 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
2025-08-26T21:24:35.4385224Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-08-26T21:24:35.4386375Z * 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
2025-08-26T21:24:35.4387643Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0
2025-08-26T21:24:35.4388926Z * 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
2025-08-26T21:24:35.4390056Z * 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
2025-08-26T21:24:35.4391078Z * 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
2025-08-26T21:24:35.4391983Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0
2025-08-26T21:24:35.4393013Z * 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
2025-08-26T21:24:35.4394037Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0
2025-08-26T21:24:35.4395041Z * 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
2025-08-26T21:24:35.4396176Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0
2025-08-26T21:24:35.4397124Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file
2025-08-26T21:24:35.4398021Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-08-26T21:24:35.4398880Z * 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
2025-08-26T21:24:35.4401707Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-08-26T21:24:35.4402905Z * 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
2025-08-26T21:24:35.4404870Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-08-26T21:24:35.4405946Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 849 <- wrt source file
2025-08-26T21:24:35.4406902Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0
2025-08-26T21:24:35.4407882Z * 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
2025-08-26T21:24:35.4408788Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-08-26T21:24:35.4409643Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 928 <- wrt source file
2025-08-26T21:24:35.4410474Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-08-26T21:24:35.4411310Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0, line 968 <- wrt source file
2025-08-26T21:24:35.4412148Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0
2025-08-26T21:24:35.4412960Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1014 <- wrt source file
2025-08-26T21:24:35.4421041Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0
2025-08-26T21:24:35.4421905Z * 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
2025-08-26T21:24:35.4437854Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0
2025-08-26T21:24:35.4438984Z * 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
2025-08-26T21:24:35.4447744Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0
2025-08-26T21:24:35.4448772Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1197 <- wrt source file
2025-08-26T21:24:35.4454306Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0
2025-08-26T21:24:35.4455348Z * 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
2025-08-26T21:24:35.4462699Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-08-26T21:24:35.4463761Z * 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
2025-08-26T21:24:35.4479149Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0
2025-08-26T21:24:35.4480187Z * 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
2025-08-26T21:24:35.4485296Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-08-26T21:24:35.4486473Z * 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
2025-08-26T21:24:35.4498582Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-08-26T21:24:35.4499820Z * 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
2025-08-26T21:24:35.4506788Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-08-26T21:24:35.4507875Z * 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
2025-08-26T21:24:35.4525201Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-08-26T21:24:35.4526343Z * 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
2025-08-26T21:24:35.4532346Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-08-26T21:24:35.4533550Z * 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
2025-08-26T21:24:35.4539471Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-08-26T21:24:35.4540723Z * 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
2025-08-26T21:24:35.4543721Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-08-26T21:24:35.4544873Z * 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
2025-08-26T21:24:35.4551555Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-08-26T21:24:35.4552741Z * 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
2025-08-26T21:24:35.4557429Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-08-26T21:24:35.4558664Z * 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
2025-08-26T21:24:35.4559953Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-08-26T21:24:35.4561357Z * 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
2025-08-26T21:24:35.4564307Z * 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
2025-08-26T21:24:35.4565652Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 280 <- wrt source file
2025-08-26T21:24:35.4566780Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-08-26T21:24:35.4567911Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 388 <- wrt source file
2025-08-26T21:24:35.4569098Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-08-26T21:24:35.4570367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 491 <- wrt source file
2025-08-26T21:24:35.4571471Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-08-26T21:24:35.4572697Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 547 <- wrt source file
2025-08-26T21:24:35.4573821Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-08-26T21:24:35.4574920Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 608 <- wrt source file
2025-08-26T21:24:35.4576033Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-08-26T21:24:35.4577114Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 683 <- wrt source file
2025-08-26T21:24:35.4578204Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-08-26T21:24:35.4579305Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 773 <- wrt source file
2025-08-26T21:24:35.4580444Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
2025-08-26T21:24:35.4581555Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 820 <- wrt source file
2025-08-26T21:24:35.4582684Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0
2025-08-26T21:24:35.4583793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 971 <- wrt source file
2025-08-26T21:24:35.4584927Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-08-26T21:24:35.4586069Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1062 <- wrt source file
2025-08-26T21:24:35.4587262Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
2025-08-26T21:24:35.4588419Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1134 <- wrt source file
2025-08-26T21:24:35.4589609Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2025-08-26T21:24:35.4590719Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1508 <- wrt source file
2025-08-26T21:24:35.4591815Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0
2025-08-26T21:24:35.4593007Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 1749 <- wrt source file
2025-08-26T21:24:35.4594302Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0
2025-08-26T21:24:35.4595613Z * 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
2025-08-26T21:24:35.4597067Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-08-26T21:24:35.4598490Z * 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
2025-08-26T21:24:35.4599921Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-08-26T21:24:35.4601118Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 1957 <- wrt source file
2025-08-26T21:24:35.4602228Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0
2025-08-26T21:24:35.4603370Z * 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
2025-08-26T21:24:35.4604602Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0
2025-08-26T21:24:35.4605745Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 152 <- wrt source file
2025-08-26T21:24:35.4606856Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0
2025-08-26T21:24:35.4607936Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 178 <- wrt source file
2025-08-26T21:24:35.4609028Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1
2025-08-26T21:24:35.4610076Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0, line 337 <- wrt source file
2025-08-26T21:24:35.4611134Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-08-26T21:24:35.4612157Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 396 <- wrt source file
2025-08-26T21:24:35.4613043Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0
2025-08-26T21:24:35.4613831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-08-26T21:24:35.4614661Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-08-26T21:24:35.4615567Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 295 <- wrt source file
2025-08-26T21:24:35.4616590Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-08-26T21:24:35.4617471Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 617 <- wrt source file
2025-08-26T21:24:35.4618263Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0
2025-08-26T21:24:35.4619105Z * 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
2025-08-26T21:24:35.4620059Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-08-26T21:24:35.4620930Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1466 <- wrt source file
2025-08-26T21:24:35.4636662Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0
2025-08-26T21:24:35.4637722Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file
2025-08-26T21:24:35.4638847Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0
2025-08-26T21:24:35.4639908Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 615 <- wrt source file
2025-08-26T21:24:35.4641034Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2025-08-26T21:24:35.4642147Z * 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
2025-08-26T21:24:35.4643522Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-08-26T21:24:35.4644644Z * 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
2025-08-26T21:24:35.4645633Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-08-26T21:24:35.4646584Z * 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
2025-08-26T21:24:35.4647591Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
2025-08-26T21:24:35.4648562Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 4748 <- wrt source file
2025-08-26T21:24:35.4649562Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-08-26T21:24:35.4650535Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4778 <- wrt source file
2025-08-26T21:24:35.4651535Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-08-26T21:24:35.4652465Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 194 <- wrt source file
2025-08-26T21:24:35.4653382Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-08-26T21:24:35.4654319Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file
2025-08-26T21:24:35.4655350Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-08-26T21:24:35.4656400Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 331 <- wrt source file
2025-08-26T21:24:35.4657516Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0
2025-08-26T21:24:35.4658620Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file
2025-08-26T21:24:35.4665955Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-08-26T21:24:35.4667239Z * 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
2025-08-26T21:24:35.4668476Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0
2025-08-26T21:24:35.4669496Z * 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
2025-08-26T21:24:35.4673314Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-08-26T21:24:35.4674338Z * 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
2025-08-26T21:24:35.4680738Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-08-26T21:24:35.4681563Z * 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
2025-08-26T21:24:35.4684973Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-08-26T21:24:35.4685972Z * 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
2025-08-26T21:24:35.4691617Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-08-26T21:24:35.4692600Z * 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
2025-08-26T21:24:35.4696308Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-08-26T21:24:35.4697112Z * 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
2025-08-26T21:24:35.4701177Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-08-26T21:24:35.4701986Z * 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
2025-08-26T21:24:35.4707154Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-08-26T21:24:35.4707975Z * 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
2025-08-26T21:24:35.4715943Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-08-26T21:24:35.4716980Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 303 <- wrt source file
2025-08-26T21:24:35.4726564Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-08-26T21:24:35.4727569Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 419 <- wrt source file
2025-08-26T21:24:35.4735456Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0
2025-08-26T21:24:35.4736442Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1026 <- wrt source file
2025-08-26T21:24:35.4741865Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-08-26T21:24:35.4743021Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1345 <- wrt source file
2025-08-26T21:24:35.4748345Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0
2025-08-26T21:24:35.4749439Z * 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
2025-08-26T21:24:35.4750682Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-08-26T21:24:35.4751941Z * 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
2025-08-26T21:24:35.4753286Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-08-26T21:24:35.4754506Z * 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
2025-08-26T21:24:35.4755608Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-08-26T21:24:35.4756597Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 547 <- wrt source file
2025-08-26T21:24:35.4757507Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-08-26T21:24:35.4758388Z * 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
2025-08-26T21:24:35.4759297Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-08-26T21:24:35.4760208Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1226 <- wrt source file
2025-08-26T21:24:35.4761152Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0
2025-08-26T21:24:35.4762088Z * 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
2025-08-26T21:24:35.4765632Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0
2025-08-26T21:24:35.4766559Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1187 <- wrt source file
2025-08-26T21:24:35.4767439Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0
2025-08-26T21:24:35.4768295Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1259 <- wrt source file
2025-08-26T21:24:35.4769152Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0
2025-08-26T21:24:35.4769984Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1337 <- wrt source file
2025-08-26T21:24:35.4770845Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1
2025-08-26T21:24:35.4771808Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1448 <- wrt source file
2025-08-26T21:24:35.4772674Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0
2025-08-26T21:24:35.4773610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0, line 1684 <- wrt source file
2025-08-26T21:24:35.4774399Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0
2025-08-26T21:24:35.4775193Z * 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
2025-08-26T21:24:35.4776017Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0
2025-08-26T21:24:35.4776811Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file
2025-08-26T21:24:35.4787028Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-08-26T21:24:35.4788114Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 77 <- wrt source file
2025-08-26T21:24:35.4789342Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0
2025-08-26T21:24:35.4790558Z * 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
2025-08-26T21:24:35.5205291Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-08-26T21:24:35.5206514Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-08-26T21:24:35.5212363Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-08-26T21:24:35.5213939Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 219 <- wrt source file
2025-08-26T21:24:35.5215036Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-08-26T21:24:35.5216086Z * 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
2025-08-26T21:24:35.5217149Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0
2025-08-26T21:24:35.5218239Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file
2025-08-26T21:24:35.5219395Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0
2025-08-26T21:24:35.5220686Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 40 <- wrt source file
2025-08-26T21:24:35.5221696Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-08-26T21:24:35.5222742Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 238 <- wrt source file
2025-08-26T21:24:35.5223891Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0
2025-08-26T21:24:35.5225120Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 309 <- wrt source file
2025-08-26T21:24:35.5227311Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0
2025-08-26T21:24:35.5228336Z * 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
2025-08-26T21:24:35.5230569Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-08-26T21:24:35.5231452Z * 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
2025-08-26T21:24:35.5235805Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-08-26T21:24:35.5236894Z * 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
2025-08-26T21:24:35.5241559Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-08-26T21:24:35.5242720Z * 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
2025-08-26T21:24:35.5244673Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0
2025-08-26T21:24:35.5245842Z * 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
2025-08-26T21:24:35.5246922Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-08-26T21:24:35.5247893Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file
2025-08-26T21:24:35.5248952Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-08-26T21:24:35.5250242Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 201 <- wrt source file
2025-08-26T21:24:35.5251301Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-08-26T21:24:35.5252328Z * 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
2025-08-26T21:24:35.5253401Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-08-26T21:24:35.5254428Z * 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
2025-08-26T21:24:35.5282089Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-08-26T21:24:35.5283444Z * 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
2025-08-26T21:24:35.5284743Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-08-26T21:24:35.5286191Z * 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
2025-08-26T21:24:35.5287455Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-08-26T21:24:35.5288811Z * 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
2025-08-26T21:24:35.5289962Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0
2025-08-26T21:24:35.5291272Z * 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
2025-08-26T21:24:35.5292507Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0
2025-08-26T21:24:35.5293568Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 674 <- wrt source file
2025-08-26T21:24:35.5294608Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0
2025-08-26T21:24:35.5295667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 30 <- wrt source file
2025-08-26T21:24:35.5296774Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-08-26T21:24:35.5297990Z * 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
2025-08-26T21:24:35.5299247Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0
2025-08-26T21:24:35.5300441Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 53 <- wrt source file
2025-08-26T21:24:35.5301657Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-08-26T21:24:35.5302685Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 113 <- wrt source file
2025-08-26T21:24:35.5303985Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-08-26T21:24:35.5305194Z * 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
2025-08-26T21:24:35.5306517Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0
2025-08-26T21:24:35.5307705Z * 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
2025-08-26T21:24:35.5308881Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-08-26T21:24:35.5310149Z * 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
2025-08-26T21:24:35.5311259Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-08-26T21:24:35.5312441Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file
2025-08-26T21:24:35.5313593Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-08-26T21:24:35.5314780Z * 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
2025-08-26T21:24:35.5315899Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-08-26T21:24:35.5316921Z * 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
2025-08-26T21:24:35.5318406Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2025-08-26T21:24:35.5319707Z * 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
2025-08-26T21:24:35.5321207Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2025-08-26T21:24:35.5322500Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 73 <- wrt source file
2025-08-26T21:24:35.5323865Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-08-26T21:24:35.5325141Z * 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
2025-08-26T21:24:35.5326512Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2025-08-26T21:24:35.5327813Z * 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
2025-08-26T21:24:35.5329158Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
2025-08-26T21:24:35.5330600Z * 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
2025-08-26T21:24:35.5331997Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-08-26T21:24:35.5333357Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file
2025-08-26T21:24:35.5334612Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-08-26T21:24:35.5335581Z * 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
2025-08-26T21:24:35.5336540Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-08-26T21:24:35.5337595Z * 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
2025-08-26T21:24:35.5338812Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-08-26T21:24:35.5339809Z * 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
2025-08-26T21:24:35.5341280Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-08-26T21:24:35.5342593Z * 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
2025-08-26T21:24:35.5343870Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-08-26T21:24:35.5345521Z * 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
2025-08-26T21:24:35.5347223Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-08-26T21:24:35.5348862Z * 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
2025-08-26T21:24:35.5350270Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-08-26T21:24:35.5351707Z * 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
2025-08-26T21:24:35.5353368Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-08-26T21:24:35.5354859Z * 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
2025-08-26T21:24:35.5356693Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-08-26T21:24:35.5358213Z * 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
2025-08-26T21:24:35.5359247Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-08-26T21:24:35.5360328Z * 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
2025-08-26T21:24:35.5361504Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-08-26T21:24:35.5362580Z * 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
2025-08-26T21:24:35.5363713Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-08-26T21:24:35.5364971Z * 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
2025-08-26T21:24:35.5365941Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-08-26T21:24:35.5367216Z * 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
2025-08-26T21:24:35.5368519Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-08-26T21:24:35.5369672Z * 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
2025-08-26T21:24:35.5370814Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-08-26T21:24:35.5371878Z * 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
2025-08-26T21:24:35.5373021Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-08-26T21:24:35.5374118Z * 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
2025-08-26T21:24:35.5375216Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-08-26T21:24:35.5376263Z * 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
2025-08-26T21:24:35.5377297Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-08-26T21:24:35.5378270Z * 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
2025-08-26T21:24:35.5379227Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-08-26T21:24:35.5379736Z ============
2025-08-26T21:24:35.5379934Z Finished doctests
2025-08-26T21:24:35.5380103Z 374 / 862 passed
2025-08-26T21:24:35.5380287Z 
2025-08-26T21:24:35.5380503Z === Found 17 parse-time warnings ===
2025-08-26T21:24:35.5380810Z --- Parse Warning: 1 / 17 ---
2025-08-26T21:24:35.5381565Z     /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.
2025-08-26T21:24:35.5382382Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5382799Z     Registers the function implementation as the fallback for the given key.
2025-08-26T21:24:35.5383094Z     
2025-08-26T21:24:35.5383328Z             This function only works for a library with global namespace ("_").
2025-08-26T21:24:35.5383615Z     
2025-08-26T21:24:35.5383755Z             Args:
2025-08-26T21:24:35.5384048Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-08-26T21:24:35.5384402Z                     to register a fallthrough.
2025-08-26T21:24:35.5384783Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-08-26T21:24:35.5385206Z                               the dispatch key that the library was created with.
2025-08-26T21:24:35.5385648Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-08-26T21:24:35.5386196Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-08-26T21:24:35.5386554Z     
2025-08-26T21:24:35.5386700Z             Example::
2025-08-26T21:24:35.5386865Z     
2025-08-26T21:24:35.5387017Z                 >>> my_lib = Library("_", "IMPL")
2025-08-26T21:24:35.5387344Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-08-26T21:24:35.5387608Z                 >>>     # Handle all autocast ops generically
2025-08-26T21:24:35.5387835Z                 >>>     # ...
2025-08-26T21:24:35.5388048Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-08-26T21:24:35.5388390Z             
2025-08-26T21:24:35.5388903Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-08-26T21:24:35.5389451Z     
2025-08-26T21:24:35.5389620Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-08-26T21:24:35.5389839Z     ^
2025-08-26T21:24:35.5389990Z       warnings.warn(msg)
2025-08-26T21:24:35.5390163Z     
2025-08-26T21:24:35.5390374Z --- Parse Warning: 2 / 17 ---
2025-08-26T21:24:35.5391103Z     /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.
2025-08-26T21:24:35.5391898Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5392307Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-08-26T21:24:35.5392611Z     
2025-08-26T21:24:35.5392810Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-08-26T21:24:35.5393070Z     
2025-08-26T21:24:35.5393310Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-08-26T21:24:35.5393710Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-08-26T21:24:35.5394100Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-08-26T21:24:35.5394435Z         what the properties of the output Tensors are.
2025-08-26T21:24:35.5394675Z     
2025-08-26T21:24:35.5394913Z         The FakeTensor implementation has the same signature as the operator.
2025-08-26T21:24:35.5395298Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-08-26T21:24:35.5395657Z         implementation, assume that all Tensor inputs to the operator are
2025-08-26T21:24:35.5396124Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-08-26T21:24:35.5396490Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-08-26T21:24:35.5396874Z         The FakeTensor implementation must consist of only PyTorch operations
2025-08-26T21:24:35.5397238Z         (and may not directly access the storage or data of any input or
2025-08-26T21:24:35.5397521Z         intermediate Tensors).
2025-08-26T21:24:35.5397710Z     
2025-08-26T21:24:35.5397908Z         This API may be used as a decorator (see examples).
2025-08-26T21:24:35.5398146Z     
2025-08-26T21:24:35.5398322Z         For a detailed guide on custom ops, please see
2025-08-26T21:24:35.5398664Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-08-26T21:24:35.5398955Z     
2025-08-26T21:24:35.5399091Z         Args:
2025-08-26T21:24:35.5399338Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-08-26T21:24:35.5399647Z             func: Fake tensor implementation.
2025-08-26T21:24:35.5399944Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-08-26T21:24:35.5400283Z             allow_override: Flag controlling if we want to override an
2025-08-26T21:24:35.5400601Z                             existing registered fake impl. This is by default off,
2025-08-26T21:24:35.5400917Z                             and will error you're trying to register a fake impl to
2025-08-26T21:24:35.5401236Z                             an operator that already has a fake impl. This also only
2025-08-26T21:24:35.5401545Z                             applies if the custom operator was not created via
2025-08-26T21:24:35.5401856Z                             torch.library.custom_op, as overriding and existing fake
2025-08-26T21:24:35.5402219Z                             impl is already allowed.
2025-08-26T21:24:35.5402432Z     
2025-08-26T21:24:35.5402572Z         Examples:
2025-08-26T21:24:35.5402733Z             >>> import torch
2025-08-26T21:24:35.5403004Z             >>> import numpy as np
2025-08-26T21:24:35.5403218Z             >>> from torch import Tensor
2025-08-26T21:24:35.5403425Z             >>>
2025-08-26T21:24:35.5403642Z             >>> # Example 1: an operator without data-dependent output shape
2025-08-26T21:24:35.5403997Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-08-26T21:24:35.5404369Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-26T21:24:35.5404721Z             >>>     raise NotImplementedError("Implementation goes here")
2025-08-26T21:24:35.5404983Z             >>>
2025-08-26T21:24:35.5405206Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-08-26T21:24:35.5405477Z             >>> def _(x, weight, bias):
2025-08-26T21:24:35.5405697Z             >>>     assert x.dim() == 2
2025-08-26T21:24:35.5405914Z             >>>     assert weight.dim() == 2
2025-08-26T21:24:35.5406133Z             >>>     assert bias.dim() == 1
2025-08-26T21:24:35.5406377Z             >>>     assert x.shape[1] == weight.shape[1]
2025-08-26T21:24:35.5406638Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-08-26T21:24:35.5406894Z             >>>     assert x.device == weight.device
2025-08-26T21:24:35.5407109Z             >>>
2025-08-26T21:24:35.5407285Z             >>>     return (x @ weight.t()) + bias
2025-08-26T21:24:35.5407499Z             >>>
2025-08-26T21:24:35.5407711Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-08-26T21:24:35.5408137Z             >>>     x = torch.randn(2, 3)
2025-08-26T21:24:35.5408369Z             >>>     w = torch.randn(3, 3)
2025-08-26T21:24:35.5408588Z             >>>     b = torch.randn(3)
2025-08-26T21:24:35.5408836Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-08-26T21:24:35.5409075Z             >>>
2025-08-26T21:24:35.5409236Z             >>> assert y.shape == (2, 3)
2025-08-26T21:24:35.5409439Z             >>>
2025-08-26T21:24:35.5409652Z             >>> # Example 2: an operator with data-dependent output shape
2025-08-26T21:24:35.5410015Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-08-26T21:24:35.5410344Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-08-26T21:24:35.5410596Z             >>>     x_np = x.numpy(force=True)
2025-08-26T21:24:35.5410846Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-26T21:24:35.5411171Z             >>>     return torch.tensor(res, device=x.device)
2025-08-26T21:24:35.5411463Z             >>>
2025-08-26T21:24:35.5411683Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-08-26T21:24:35.5411946Z             >>> def _(x):
2025-08-26T21:24:35.5412169Z             >>> # Number of nonzero-elements is data-dependent.
2025-08-26T21:24:35.5412466Z             >>> # Since we cannot peek at the data in an fake impl,
2025-08-26T21:24:35.5412762Z             >>> # we use the ctx object to construct a new symint that
2025-08-26T21:24:35.5413059Z             >>> # represents the data-dependent size.
2025-08-26T21:24:35.5413312Z             >>>     ctx = torch.library.get_ctx()
2025-08-26T21:24:35.5413555Z             >>>     nnz = ctx.new_dynamic_size()
2025-08-26T21:24:35.5413781Z             >>>     shape = [nnz, x.dim()]
2025-08-26T21:24:35.5414036Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-26T21:24:35.5414282Z             >>>     return result
2025-08-26T21:24:35.5414469Z             >>>
2025-08-26T21:24:35.5414684Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-08-26T21:24:35.5414941Z             >>>
2025-08-26T21:24:35.5415118Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-08-26T21:24:35.5415532Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-08-26T21:24:35.5415864Z             >>> trace.print_readable()
2025-08-26T21:24:35.5416068Z             >>>
2025-08-26T21:24:35.5416311Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-08-26T21:24:35.5416668Z     
2025-08-26T21:24:35.5416801Z         
2025-08-26T21:24:35.5417242Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-08-26T21:24:35.5417738Z     
2025-08-26T21:24:35.5417879Z     _._ = None
2025-08-26T21:24:35.5418025Z     ^
2025-08-26T21:24:35.5418176Z       warnings.warn(msg)
2025-08-26T21:24:35.5418352Z     
2025-08-26T21:24:35.5418580Z --- Parse Warning: 3 / 17 ---
2025-08-26T21:24:35.5419308Z     /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.
2025-08-26T21:24:35.5420095Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5420490Z     Returns the computed kernel for a given operator and dispatch key.
2025-08-26T21:24:35.5420774Z     
2025-08-26T21:24:35.5421004Z         This function retrieves the kernel that would be executed for a given
2025-08-26T21:24:35.5421389Z         operator and dispatch key combination. The returned SafeKernelFunction
2025-08-26T21:24:35.5421760Z         can be used to call the kernel in a boxed fashion. The intended use
2025-08-26T21:24:35.5422115Z         case for this function is to retrieve the original kernel for a given
2025-08-26T21:24:35.5422485Z         dispatch key and then register another kernel to the same dispatch key
2025-08-26T21:24:35.5422820Z         that calls into the original kernel for certain cases.
2025-08-26T21:24:35.5423068Z     
2025-08-26T21:24:35.5423216Z         Args:
2025-08-26T21:24:35.5423455Z             op: Operator name (along with the overload) or OpOverload object
2025-08-26T21:24:35.5423829Z                 Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-08-26T21:24:35.5424232Z             dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-08-26T21:24:35.5424627Z                 Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-08-26T21:24:35.5424908Z     
2025-08-26T21:24:35.5425048Z         Returns:
2025-08-26T21:24:35.5425306Z             torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-08-26T21:24:35.5425617Z                 call the kernel.
2025-08-26T21:24:35.5425805Z     
2025-08-26T21:24:35.5425942Z         Raises:
2025-08-26T21:24:35.5426133Z             RuntimeError: If the operator does not exist.
2025-08-26T21:24:35.5426362Z     
2025-08-26T21:24:35.5426500Z         Example:
2025-08-26T21:24:35.5426678Z             >>> # Get the CPU kernel for torch.add
2025-08-26T21:24:35.5426972Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-08-26T21:24:35.5427240Z             >>>
2025-08-26T21:24:35.5427415Z             >>> # You can also use DispatchKey enum
2025-08-26T21:24:35.5427770Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-08-26T21:24:35.5428077Z             >>>
2025-08-26T21:24:35.5428246Z             >>> # Or use an OpOverload directly
2025-08-26T21:24:35.5428553Z             >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-08-26T21:24:35.5428843Z             >>>
2025-08-26T21:24:35.5429071Z             >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-08-26T21:24:35.5429386Z             >>> # Get the original kernel for torch.sin
2025-08-26T21:24:35.5429696Z             >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-08-26T21:24:35.5429978Z             >>>
2025-08-26T21:24:35.5430306Z             >>> # If input has negative values, use original sin, otherwise return zeros
2025-08-26T21:24:35.5430640Z             >>> def conditional_sin_impl(dispatch_keys, x):
2025-08-26T21:24:35.5430884Z             >>>     if (x < 0).any():
2025-08-26T21:24:35.5431227Z             >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-08-26T21:24:35.5431501Z             >>>     else:
2025-08-26T21:24:35.5431697Z             >>>         return torch.zeros_like(x)
2025-08-26T21:24:35.5431917Z             >>>
2025-08-26T21:24:35.5432111Z             >>> lib = torch.library.Library("aten", "IMPL")
2025-08-26T21:24:35.5432472Z             >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-08-26T21:24:35.5432859Z             >>> which needs to be the first argument to ``kernel.call_boxed``
2025-08-26T21:24:35.5433199Z             >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-08-26T21:24:35.5433478Z             >>>
2025-08-26T21:24:35.5433660Z             >>> # Test the conditional behavior
2025-08-26T21:24:35.5433913Z             >>> x_positive = torch.tensor([1.0, 2.0])
2025-08-26T21:24:35.5434160Z             >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-08-26T21:24:35.5434401Z             >>> torch.sin(x_positive)
2025-08-26T21:24:35.5434617Z             tensor([0., 0.])
2025-08-26T21:24:35.5434816Z             >>> torch.sin(x_mixed)
2025-08-26T21:24:35.5435016Z             tensor([-0.8415, 0.9093])
2025-08-26T21:24:35.5435209Z         
2025-08-26T21:24:35.5435625Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-08-26T21:24:35.5436173Z     
2025-08-26T21:24:35.5436375Z     which needs to be the first argument to ``kernel.call_boxed``
2025-08-26T21:24:35.5436639Z           ^
2025-08-26T21:24:35.5436794Z       warnings.warn(msg)
2025-08-26T21:24:35.5436968Z     
2025-08-26T21:24:35.5437176Z --- Parse Warning: 4 / 17 ---
2025-08-26T21:24:35.5437936Z     /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.
2025-08-26T21:24:35.5438845Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5439264Z     Check if the current accelerator is available at runtime: it was build, all the
2025-08-26T21:24:35.5449784Z         required drivers are available and at least one device is visible.
2025-08-26T21:24:35.5450201Z         See :ref:`accelerator<accelerators>` for details.
2025-08-26T21:24:35.5450464Z     
2025-08-26T21:24:35.5450620Z         Returns:
2025-08-26T21:24:35.5450932Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-08-26T21:24:35.5451262Z     
2025-08-26T21:24:35.5451531Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-08-26T21:24:35.5451996Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-08-26T21:24:35.5452433Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-08-26T21:24:35.5452803Z             :ref:`multiprocessing-poison-fork-note`.
2025-08-26T21:24:35.5453043Z     
2025-08-26T21:24:35.5453196Z         Example::
2025-08-26T21:24:35.5453359Z     
2025-08-26T21:24:35.5453625Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T21:24:35.5453963Z         
2025-08-26T21:24:35.5454430Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-08-26T21:24:35.5454941Z     
2025-08-26T21:24:35.5455197Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T21:24:35.5455523Z                                             ^
2025-08-26T21:24:35.5455902Z       warnings.warn(msg)
2025-08-26T21:24:35.5456088Z     
2025-08-26T21:24:35.5456353Z --- Parse Warning: 5 / 17 ---
2025-08-26T21:24:35.5457113Z     /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.
2025-08-26T21:24:35.5458052Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5458451Z     Wait for all kernels in all streams on the given device to complete.
2025-08-26T21:24:35.5458730Z     
2025-08-26T21:24:35.5458875Z         Args:
2025-08-26T21:24:35.5459176Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-08-26T21:24:35.5459630Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-08-26T21:24:35.5460008Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-08-26T21:24:35.5460276Z     
2025-08-26T21:24:35.5460567Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-08-26T21:24:35.5460909Z     
2025-08-26T21:24:35.5461053Z         Example::
2025-08-26T21:24:35.5461206Z     
2025-08-26T21:24:35.5461383Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-26T21:24:35.5461750Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T21:24:35.5462111Z             >>> start_event = torch.Event(enable_timing=True)
2025-08-26T21:24:35.5462380Z             >>> end_event = torch.Event(enable_timing=True)
2025-08-26T21:24:35.5462617Z             >>> start_event.record()
2025-08-26T21:24:35.5462926Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-08-26T21:24:35.5463242Z             >>> sum = torch.sum(tensor)
2025-08-26T21:24:35.5463457Z             >>> end_event.record()
2025-08-26T21:24:35.5463684Z             >>> torch.accelerator.synchronize()
2025-08-26T21:24:35.5463965Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-08-26T21:24:35.5464214Z         
2025-08-26T21:24:35.5464674Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-08-26T21:24:35.5465172Z     
2025-08-26T21:24:35.5465424Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T21:24:35.5465749Z                                             ^
2025-08-26T21:24:35.5465959Z       warnings.warn(msg)
2025-08-26T21:24:35.5466126Z     
2025-08-26T21:24:35.5466335Z --- Parse Warning: 6 / 17 ---
2025-08-26T21:24:35.5467070Z     /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.
2025-08-26T21:24:35.5467858Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5468188Z     Retrieves the CUDA runtime API module.
2025-08-26T21:24:35.5468399Z     
2025-08-26T21:24:35.5468533Z     
2025-08-26T21:24:35.5468788Z         This function initializes the CUDA runtime environment if it is not already
2025-08-26T21:24:35.5469191Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-08-26T21:24:35.5469572Z         runtime API module provides access to various CUDA runtime functions.
2025-08-26T21:24:35.5469858Z     
2025-08-26T21:24:35.5469996Z         Args:
2025-08-26T21:24:35.5470145Z             ``None``
2025-08-26T21:24:35.5470300Z     
2025-08-26T21:24:35.5470434Z         Returns:
2025-08-26T21:24:35.5470633Z             module: The CUDA runtime API module (_cudart).
2025-08-26T21:24:35.5470864Z     
2025-08-26T21:24:35.5470993Z         Raises:
2025-08-26T21:24:35.5471335Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-08-26T21:24:35.5471826Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-08-26T21:24:35.5472272Z     
2025-08-26T21:24:35.5472439Z         Example of CUDA operations with profiling:
2025-08-26T21:24:35.5472677Z             >>> import torch
2025-08-26T21:24:35.5472901Z             >>> from torch.cuda import cudart, check_error
2025-08-26T21:24:35.5473134Z             >>> import os
2025-08-26T21:24:35.5473305Z             >>>
2025-08-26T21:24:35.5473495Z             >>> os.environ["CUDA_PROFILE"] = "1"
2025-08-26T21:24:35.5473713Z             >>>
2025-08-26T21:24:35.5473905Z             >>> def perform_cuda_operations_with_streams():
2025-08-26T21:24:35.5474152Z             >>>     stream = torch.cuda.Stream()
2025-08-26T21:24:35.5474391Z             >>>     with torch.cuda.stream(stream):
2025-08-26T21:24:35.5474643Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-08-26T21:24:35.5474900Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-08-26T21:24:35.5475131Z             >>>         z = torch.mul(x, y)
2025-08-26T21:24:35.5475348Z             >>>     return z
2025-08-26T21:24:35.5475542Z             >>>
2025-08-26T21:24:35.5475791Z             >>> torch.cuda.synchronize()
2025-08-26T21:24:35.5476034Z             >>> print("====== Start nsys profiling ======")
2025-08-26T21:24:35.5476298Z             >>> check_error(cudart().cudaProfilerStart())
2025-08-26T21:24:35.5476563Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-08-26T21:24:35.5476843Z             >>>     result = perform_cuda_operations_with_streams()
2025-08-26T21:24:35.5477121Z             >>>     print("CUDA operations completed.")
2025-08-26T21:24:35.5477397Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-08-26T21:24:35.5477667Z             >>> print("====== End nsys profiling ======")
2025-08-26T21:24:35.5477882Z     
2025-08-26T21:24:35.5478104Z         To run this example and save the profiling information, execute:
2025-08-26T21:24:35.5478564Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-26T21:24:35.5478943Z     
2025-08-26T21:24:35.5479191Z         This command profiles the CUDA operations in the provided script and saves
2025-08-26T21:24:35.5479575Z         the profiling information to a file named `trace_name.prof`.
2025-08-26T21:24:35.5479936Z         The `--profile-from-start off` option ensures that profiling starts only
2025-08-26T21:24:35.5480271Z         after the `cudaProfilerStart` call in the script.
2025-08-26T21:24:35.5480608Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-08-26T21:24:35.5480937Z         CSV file and print a summary, respectively.
2025-08-26T21:24:35.5481269Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-08-26T21:24:35.5481620Z         overwrite of the output file if it already exists.
2025-08-26T21:24:35.5481860Z         
2025-08-26T21:24:35.5482390Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-08-26T21:24:35.5482991Z     
2025-08-26T21:24:35.5483311Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-26T21:24:35.5483692Z     ^
2025-08-26T21:24:35.5483845Z       warnings.warn(msg)
2025-08-26T21:24:35.5484031Z     
2025-08-26T21:24:35.5484241Z --- Parse Warning: 7 / 17 ---
2025-08-26T21:24:35.5484965Z     /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.
2025-08-26T21:24:35.5485755Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5486138Z     
2025-08-26T21:24:35.5486384Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-08-26T21:24:35.5486741Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-08-26T21:24:35.5487175Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-08-26T21:24:35.5487489Z     vectorizing those operations.
2025-08-26T21:24:35.5487690Z     
2025-08-26T21:24:35.5487907Z     vmap is useful for handling batch dimensions: one can write a function
2025-08-26T21:24:35.5488266Z     ``func`` that runs on examples and then lift it to a function that can
2025-08-26T21:24:35.5488620Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-08-26T21:24:35.5488959Z     compute batched gradients when composed with autograd.
2025-08-26T21:24:35.5489206Z     
2025-08-26T21:24:35.5489341Z     .. note::
2025-08-26T21:24:35.5489563Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-08-26T21:24:35.5489864Z         convenience. Use whichever one you'd like.
2025-08-26T21:24:35.5490086Z     
2025-08-26T21:24:35.5490214Z     Args:
2025-08-26T21:24:35.5490441Z         func (function): A Python function that takes one or more arguments.
2025-08-26T21:24:35.5490746Z             Must return one or more Tensors.
2025-08-26T21:24:35.5491029Z         in_dims (int or nested structure): Specifies which dimension of the
2025-08-26T21:24:35.5491357Z             inputs should be mapped over. ``in_dims`` should have a
2025-08-26T21:24:35.5491701Z             structure like the inputs. If the ``in_dim`` for a particular
2025-08-26T21:24:35.5492032Z             input is None, then that indicates there is no map dimension.
2025-08-26T21:24:35.5492300Z             Default: 0.
2025-08-26T21:24:35.5492535Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-08-26T21:24:35.5492870Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-08-26T21:24:35.5493188Z             it should have one element per output. Default: 0.
2025-08-26T21:24:35.5493507Z         randomness (str): Specifies whether the randomness in this
2025-08-26T21:24:35.5493859Z             vmap should be the same or different across batches. If 'different',
2025-08-26T21:24:35.5494224Z             the randomness for each batch will be different. If 'same', the
2025-08-26T21:24:35.5494603Z             randomness will be the same across batches. If 'error', any calls to
2025-08-26T21:24:35.5494983Z             random functions will error. Default: 'error'. WARNING: this flag
2025-08-26T21:24:35.5495361Z             only applies to random PyTorch operations and does not apply to
2025-08-26T21:24:35.5495675Z             Python's random module or numpy randomness.
2025-08-26T21:24:35.5496010Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-08-26T21:24:35.5496395Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-08-26T21:24:35.5496812Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-08-26T21:24:35.5497252Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-08-26T21:24:35.5497567Z     
2025-08-26T21:24:35.5497713Z     Returns:
2025-08-26T21:24:35.5497943Z         Returns a new "batched" function. It takes the same inputs as
2025-08-26T21:24:35.5498293Z         ``func``, except each input has an extra dimension at the index
2025-08-26T21:24:35.5498629Z         specified by ``in_dims``. It takes returns the same outputs as
2025-08-26T21:24:35.5498964Z         ``func``, except each output has an extra dimension at the index
2025-08-26T21:24:35.5499242Z         specified by ``out_dims``.
2025-08-26T21:24:35.5499441Z     
2025-08-26T21:24:35.5499578Z     .. warning:
2025-08-26T21:24:35.5499818Z         :func:`vmap` works best with functional-style code. Please do not
2025-08-26T21:24:35.5500257Z         perform any side-effects in ``func``, with the exception of
2025-08-26T21:24:35.5500632Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-08-26T21:24:35.5501025Z         Python data structures and assigning values to variables not captured
2025-08-26T21:24:35.5501400Z         in ``func``.
2025-08-26T21:24:35.5501563Z     
2025-08-26T21:24:35.5501815Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-08-26T21:24:35.5502210Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-08-26T21:24:35.5502581Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-08-26T21:24:35.5502866Z     
2025-08-26T21:24:35.5503022Z         >>> torch.dot  # [D], [D] -> []
2025-08-26T21:24:35.5503310Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-08-26T21:24:35.5503610Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-26T21:24:35.5503844Z         >>> batched_dot(x, y)
2025-08-26T21:24:35.5504031Z     
2025-08-26T21:24:35.5504265Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-08-26T21:24:35.5504564Z     model authoring experience.
2025-08-26T21:24:35.5504765Z     
2025-08-26T21:24:35.5504931Z         >>> batch_size, feature_size = 3, 5
2025-08-26T21:24:35.5505202Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-26T21:24:35.5505454Z         >>>
2025-08-26T21:24:35.5505612Z         >>> def model(feature_vec):
2025-08-26T21:24:35.5505840Z         >>> # Very simple linear model with activation
2025-08-26T21:24:35.5506092Z         >>>     return feature_vec.dot(weights).relu()
2025-08-26T21:24:35.5506304Z         >>>
2025-08-26T21:24:35.5506495Z         >>> examples = torch.randn(batch_size, feature_size)
2025-08-26T21:24:35.5506764Z         >>> result = torch.vmap(model)(examples)
2025-08-26T21:24:35.5506991Z     
2025-08-26T21:24:35.5507246Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-08-26T21:24:35.5507652Z     or impossible to batch. One example is higher-order gradient computation.
2025-08-26T21:24:35.5508044Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-08-26T21:24:35.5508439Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-08-26T21:24:35.5508841Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-08-26T21:24:35.5509245Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-08-26T21:24:35.5509548Z     call to ``autograd.grad``.
2025-08-26T21:24:35.5509730Z     
2025-08-26T21:24:35.5509870Z         >>> # Setup
2025-08-26T21:24:35.5510028Z         >>> N = 5
2025-08-26T21:24:35.5510185Z         >>> f = lambda x: x**2
2025-08-26T21:24:35.5510394Z         >>> x = torch.randn(N, requires_grad=True)
2025-08-26T21:24:35.5510616Z         >>> y = f(x)
2025-08-26T21:24:35.5510784Z         >>> I_N = torch.eye(N)
2025-08-26T21:24:35.5510957Z         >>>
2025-08-26T21:24:35.5511121Z         >>> # Sequential approach
2025-08-26T21:24:35.5511407Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-08-26T21:24:35.5511711Z         >>>                  for v in I_N.unbind()]
2025-08-26T21:24:35.5511949Z         >>> jacobian = torch.stack(jacobian_rows)
2025-08-26T21:24:35.5512167Z         >>>
2025-08-26T21:24:35.5512339Z         >>> # vectorized gradient computation
2025-08-26T21:24:35.5512563Z         >>> def get_vjp(v):
2025-08-26T21:24:35.5512770Z         >>>     return torch.autograd.grad(y, x, v)
2025-08-26T21:24:35.5513028Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-08-26T21:24:35.5513246Z     
2025-08-26T21:24:35.5513508Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-08-26T21:24:35.5513819Z     
2025-08-26T21:24:35.5513973Z         >>> torch.dot  # [D], [D] -> []
2025-08-26T21:24:35.5514197Z         >>> batched_dot = torch.vmap(
2025-08-26T21:24:35.5514488Z         ...     torch.vmap(torch.dot)
2025-08-26T21:24:35.5514708Z         ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-08-26T21:24:35.5514987Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-08-26T21:24:35.5515318Z         >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-08-26T21:24:35.5515549Z     
2025-08-26T21:24:35.5515833Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-08-26T21:24:35.5516183Z     the dimension that each inputs are batched along as
2025-08-26T21:24:35.5516420Z     
2025-08-26T21:24:35.5516571Z         >>> torch.dot  # [N], [N] -> []
2025-08-26T21:24:35.5516862Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-08-26T21:24:35.5517184Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-26T21:24:35.5517412Z         >>> batched_dot(
2025-08-26T21:24:35.5517591Z         ...     x, y
2025-08-26T21:24:35.5517831Z         ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-08-26T21:24:35.5518096Z     
2025-08-26T21:24:35.5518355Z     If there are multiple inputs each of which is batched along different dimensions,
2025-08-26T21:24:35.5518750Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-08-26T21:24:35.5519041Z     
2025-08-26T21:24:35.5519186Z         >>> torch.dot  # [D], [D] -> []
2025-08-26T21:24:35.5519491Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-08-26T21:24:35.5519816Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-26T21:24:35.5520040Z         >>> batched_dot(
2025-08-26T21:24:35.5520205Z         ...     x, y
2025-08-26T21:24:35.5520435Z         ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-08-26T21:24:35.5520697Z     
2025-08-26T21:24:35.5520934Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-08-26T21:24:35.5521244Z     matching the shape of the input:
2025-08-26T21:24:35.5521448Z     
2025-08-26T21:24:35.5521629Z         >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-08-26T21:24:35.5521891Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-26T21:24:35.5522111Z         >>> input = {"x": x, "y": y}
2025-08-26T21:24:35.5522374Z         >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-08-26T21:24:35.5522640Z         >>> batched_dot(input)
2025-08-26T21:24:35.5522824Z     
2025-08-26T21:24:35.5523092Z     By default, the output is batched along the first dimension. However, it can be batched
2025-08-26T21:24:35.5523452Z     along any dimension by using ``out_dims``
2025-08-26T21:24:35.5523666Z     
2025-08-26T21:24:35.5523807Z         >>> f = lambda x: x**2
2025-08-26T21:24:35.5523990Z         >>> x = torch.randn(2, 5)
2025-08-26T21:24:35.5524210Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-08-26T21:24:35.5524440Z         >>> batched_pow(x)  # [5, 2]
2025-08-26T21:24:35.5524631Z     
2025-08-26T21:24:35.5524913Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-08-26T21:24:35.5525257Z     accept kwargs
2025-08-26T21:24:35.5525419Z     
2025-08-26T21:24:35.5525563Z         >>> x = torch.randn([2, 5])
2025-08-26T21:24:35.5525769Z         >>> def fn(x, scale=4.):
2025-08-26T21:24:35.5525969Z         >>>   return x * scale
2025-08-26T21:24:35.5526149Z         >>>
2025-08-26T21:24:35.5526318Z         >>> batched_pow = torch.vmap(fn)
2025-08-26T21:24:35.5526564Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-08-26T21:24:35.5526885Z         >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-08-26T21:24:35.5527174Z     
2025-08-26T21:24:35.5527315Z     .. note::
2025-08-26T21:24:35.5527553Z         vmap does not provide general autobatching or handle variable-length
2025-08-26T21:24:35.5527855Z         sequences out of the box.
2025-08-26T21:24:35.5528048Z     
2025-08-26T21:24:35.5528552Z     Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-08-26T21:24:35.5529037Z     
2025-08-26T21:24:35.5529167Z     _._ = None
2025-08-26T21:24:35.5529318Z     ^
2025-08-26T21:24:35.5529545Z       warnings.warn(msg)
2025-08-26T21:24:35.5529714Z     
2025-08-26T21:24:35.5529928Z --- Parse Warning: 8 / 17 ---
2025-08-26T21:24:35.5530648Z     /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.
2025-08-26T21:24:35.5531442Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5531855Z     ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-08-26T21:24:35.5532227Z         input(s) specified by ``argnums``. This operator can be nested to
2025-08-26T21:24:35.5532537Z         compute higher-order gradients.
2025-08-26T21:24:35.5532750Z     
2025-08-26T21:24:35.5532891Z         Args:
2025-08-26T21:24:35.5533122Z             func (Callable): A Python function that takes one or more arguments.
2025-08-26T21:24:35.5533523Z                 Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-08-26T21:24:35.5533969Z                 function can return a tuple of single-element Tensor and other auxiliary objects:
2025-08-26T21:24:35.5534302Z                 ``(output, aux)``.
2025-08-26T21:24:35.5534626Z             argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-08-26T21:24:35.5535030Z                 ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-08-26T21:24:35.5535401Z             has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-08-26T21:24:35.5535742Z                 auxiliary objects: ``(output, aux)``. Default: False.
2025-08-26T21:24:35.5535990Z     
2025-08-26T21:24:35.5536121Z         Returns:
2025-08-26T21:24:35.5536415Z             Function to compute gradients with respect to its inputs. By default, the output of
2025-08-26T21:24:35.5536845Z             the function is the gradient tensor(s) with respect to the first argument.
2025-08-26T21:24:35.5537268Z             If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-08-26T21:24:35.5537703Z             is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-08-26T21:24:35.5538044Z             respect to each ``argnums`` value is returned.
2025-08-26T21:24:35.5538279Z     
2025-08-26T21:24:35.5538439Z         Example of using ``grad``:
2025-08-26T21:24:35.5538636Z     
2025-08-26T21:24:35.5538775Z             >>> # xdoctest: +SKIP
2025-08-26T21:24:35.5538989Z             >>> from torch.func import grad
2025-08-26T21:24:35.5539216Z             >>> x = torch.randn([])
2025-08-26T21:24:35.5539444Z             >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-08-26T21:24:35.5539698Z             >>> assert torch.allclose(cos_x, x.cos())
2025-08-26T21:24:35.5539919Z             >>>
2025-08-26T21:24:35.5540092Z             >>> # Second-order gradients
2025-08-26T21:24:35.5540342Z             >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-08-26T21:24:35.5540621Z             >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-08-26T21:24:35.5540847Z     
2025-08-26T21:24:35.5541095Z         When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-08-26T21:24:35.5541404Z     
2025-08-26T21:24:35.5541545Z             >>> # xdoctest: +SKIP
2025-08-26T21:24:35.5541767Z             >>> from torch.func import grad, vmap
2025-08-26T21:24:35.5542011Z             >>> batch_size, feature_size = 3, 5
2025-08-26T21:24:35.5542227Z             >>>
2025-08-26T21:24:35.5542400Z             >>> def model(weights, feature_vec):
2025-08-26T21:24:35.5542653Z             >>> # Very simple linear model with activation
2025-08-26T21:24:35.5543373Z             >>>     assert feature_vec.dim() == 1
2025-08-26T21:24:35.5543818Z             >>>     return feature_vec.dot(weights).relu()
2025-08-26T21:24:35.5544203Z             >>>
2025-08-26T21:24:35.5544483Z             >>> def compute_loss(weights, example, target):
2025-08-26T21:24:35.5544916Z             >>>     y = model(weights, example)
2025-08-26T21:24:35.5545168Z             >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-08-26T21:24:35.5545393Z             >>>
2025-08-26T21:24:35.5545620Z             >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-26T21:24:35.5545924Z             >>> examples = torch.randn(batch_size, feature_size)
2025-08-26T21:24:35.5546196Z             >>> targets = torch.randn(batch_size)
2025-08-26T21:24:35.5546446Z             >>> inputs = (weights, examples, targets)
2025-08-26T21:24:35.5546766Z             >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-08-26T21:24:35.5547073Z             ...     *inputs
2025-08-26T21:24:35.5547250Z             ... )
2025-08-26T21:24:35.5547409Z     
2025-08-26T21:24:35.5547607Z         Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-08-26T21:24:35.5547861Z     
2025-08-26T21:24:35.5548007Z             >>> # xdoctest: +SKIP
2025-08-26T21:24:35.5548228Z             >>> from torch.func import grad
2025-08-26T21:24:35.5548464Z             >>> def my_loss_func(y, y_pred):
2025-08-26T21:24:35.5548703Z             >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-08-26T21:24:35.5548955Z             >>>    loss = loss_per_sample.mean()
2025-08-26T21:24:35.5549207Z             >>>    return loss, (y_pred, loss_per_sample)
2025-08-26T21:24:35.5549430Z             >>>
2025-08-26T21:24:35.5549621Z             >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-08-26T21:24:35.5549887Z             >>> y_true = torch.rand(4)
2025-08-26T21:24:35.5550128Z             >>> y_preds = torch.rand(4, requires_grad=True)
2025-08-26T21:24:35.5550377Z             >>> out = fn(y_true, y_preds)
2025-08-26T21:24:35.5550689Z             >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-08-26T21:24:35.5550992Z     
2025-08-26T21:24:35.5551132Z         .. note::
2025-08-26T21:24:35.5551350Z             Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-08-26T21:24:35.5551597Z     
2025-08-26T21:24:35.5551778Z             Case 1: Using ``torch.no_grad`` inside a function:
2025-08-26T21:24:35.5552011Z     
2025-08-26T21:24:35.5552158Z                 >>> # xdoctest: +SKIP
2025-08-26T21:24:35.5552351Z                 >>> def f(x):
2025-08-26T21:24:35.5552549Z                 >>>     with torch.no_grad():
2025-08-26T21:24:35.5552760Z                 >>>         c = x ** 2
2025-08-26T21:24:35.5552960Z                 >>>     return x - c
2025-08-26T21:24:35.5553144Z     
2025-08-26T21:24:35.5553360Z             In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-08-26T21:24:35.5553629Z     
2025-08-26T21:24:35.5553840Z             Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-08-26T21:24:35.5554096Z     
2025-08-26T21:24:35.5554242Z                 >>> # xdoctest: +SKIP
2025-08-26T21:24:35.5554463Z                 >>> with torch.no_grad():
2025-08-26T21:24:35.5554680Z                 >>>     grad(f)(x)
2025-08-26T21:24:35.5554861Z     
2025-08-26T21:24:35.5555093Z             In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-08-26T21:24:35.5555473Z             outer one. This is because ``grad`` is a "function transform": its result
2025-08-26T21:24:35.5555927Z             should not depend on the result of a context manager outside of ``f``.
2025-08-26T21:24:35.5556208Z     
2025-08-26T21:24:35.5556335Z         
2025-08-26T21:24:35.5556772Z     Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-08-26T21:24:35.5557252Z     
2025-08-26T21:24:35.5557386Z     _._ = None
2025-08-26T21:24:35.5557530Z     ^
2025-08-26T21:24:35.5557787Z       warnings.warn(msg)
2025-08-26T21:24:35.5557971Z     
2025-08-26T21:24:35.5558199Z --- Parse Warning: 9 / 17 ---
2025-08-26T21:24:35.5559004Z     /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.
2025-08-26T21:24:35.5559961Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5560333Z     Register a FakeTensor implementation for this custom op.
2025-08-26T21:24:35.5560590Z     
2025-08-26T21:24:35.5560842Z             This is necessary to get the operator to work efficiently with torch.compile.
2025-08-26T21:24:35.5561156Z     
2025-08-26T21:24:35.5561393Z             The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-08-26T21:24:35.5561792Z             specifies the behavior of this operator on Tensors that carry no data.
2025-08-26T21:24:35.5562135Z             Given some input Tensors with certain properties
2025-08-26T21:24:35.5562493Z             (sizes/strides/storage_offset/device), it specifies what the properties of
2025-08-26T21:24:35.5562838Z             the output Tensors are.
2025-08-26T21:24:35.5563040Z     
2025-08-26T21:24:35.5563269Z             Please see :func:`torch.library.register_fake` for more details.
2025-08-26T21:24:35.5563541Z     
2025-08-26T21:24:35.5563679Z             Args:
2025-08-26T21:24:35.5563903Z                 fn (Callable): The function to register as the FakeTensor
2025-08-26T21:24:35.5564170Z                     implementation.
2025-08-26T21:24:35.5564357Z     
2025-08-26T21:24:35.5564498Z             Examples:
2025-08-26T21:24:35.5564672Z                 >>> import torch
2025-08-26T21:24:35.5564874Z                 >>> import numpy as np
2025-08-26T21:24:35.5565103Z                 >>> from torch import Tensor
2025-08-26T21:24:35.5565313Z                 >>>
2025-08-26T21:24:35.5565549Z                 >>> # Example 1: an operator without data-dependent output shape
2025-08-26T21:24:35.5565890Z                 >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-08-26T21:24:35.5566229Z                 >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-26T21:24:35.5566534Z                 >>>     return (x @ weight.t()) + bias
2025-08-26T21:24:35.5566755Z                 >>>
2025-08-26T21:24:35.5566930Z                 >>> @linear.register_fake
2025-08-26T21:24:35.5567152Z                 >>> def _(x, weight, bias):
2025-08-26T21:24:35.5567372Z                 >>>     assert x.dim() == 2
2025-08-26T21:24:35.5567595Z                 >>>     assert weight.dim() == 2
2025-08-26T21:24:35.5567828Z                 >>>     assert bias.dim() == 1
2025-08-26T21:24:35.5568061Z                 >>>     assert x.shape[1] == weight.shape[1]
2025-08-26T21:24:35.5568321Z                 >>>     assert weight.shape[0] == bias.shape[0]
2025-08-26T21:24:35.5568590Z                 >>>     assert x.device == weight.device
2025-08-26T21:24:35.5568856Z                 >>>     return x.new_empty(x.size(0), weight.size(0))
2025-08-26T21:24:35.5569097Z                 >>>
2025-08-26T21:24:35.5569280Z                 >>> x = torch.randn(2, 2)
2025-08-26T21:24:35.5569509Z                 >>> weight = torch.randn(2, 2)
2025-08-26T21:24:35.5569732Z                 >>> bias = torch.randn(2)
2025-08-26T21:24:35.5569979Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T21:24:35.5570284Z                 >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-08-26T21:24:35.5570587Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T21:24:35.5570928Z                 >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-08-26T21:24:35.5571241Z                 >>>
2025-08-26T21:24:35.5571456Z                 >>> # Example 2: an operator with data-dependent output shape
2025-08-26T21:24:35.5571866Z                 >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-08-26T21:24:35.5572173Z                 >>> def nonzero(x: Tensor) -> Tensor:
2025-08-26T21:24:35.5572482Z                 >>>     x_np = x.cpu().numpy()
2025-08-26T21:24:35.5572724Z                 >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-26T21:24:35.5572987Z                 >>>     return torch.tensor(res, device=x.device)
2025-08-26T21:24:35.5573218Z                 >>>
2025-08-26T21:24:35.5573398Z                 >>> @nonzero.register_fake
2025-08-26T21:24:35.5573614Z                 >>> def _(x):
2025-08-26T21:24:35.5573840Z                 >>> # Number of nonzero-elements is data-dependent.
2025-08-26T21:24:35.5574142Z                 >>> # Since we cannot peek at the data in an abstract impl,
2025-08-26T21:24:35.5574445Z                 >>> # we use the ctx object to construct a new symint that
2025-08-26T21:24:35.5574746Z                 >>> # represents the data-dependent size.
2025-08-26T21:24:35.5575005Z                 >>>     ctx = torch.library.get_ctx()
2025-08-26T21:24:35.5575253Z                 >>>     nnz = ctx.new_dynamic_size()
2025-08-26T21:24:35.5575485Z                 >>>     shape = [nnz, x.dim()]
2025-08-26T21:24:35.5575745Z                 >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-26T21:24:35.5575996Z                 >>>     return result
2025-08-26T21:24:35.5576189Z                 >>>
2025-08-26T21:24:35.5576369Z                 >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-08-26T21:24:35.5576616Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T21:24:35.5576892Z                 >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-08-26T21:24:35.5577159Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T21:24:35.5577419Z                 >>> assert torch.allclose(out, x.nonzero())
2025-08-26T21:24:35.5577641Z     
2025-08-26T21:24:35.5577779Z             
2025-08-26T21:24:35.5578227Z     Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-08-26T21:24:35.5578711Z     
2025-08-26T21:24:35.5578854Z     _._ = None
2025-08-26T21:24:35.5579006Z     ^
2025-08-26T21:24:35.5579158Z       warnings.warn(msg)
2025-08-26T21:24:35.5579329Z     
2025-08-26T21:24:35.5579545Z --- Parse Warning: 10 / 17 ---
2025-08-26T21:24:35.5580368Z     /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.
2025-08-26T21:24:35.5581276Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T21:24:35.5581595Z     
2025-08-26T21:24:35.5581828Z     Registers a fake kernel based on the given operator profiles. This fake
2025-08-26T21:24:35.5582234Z     kernel registration will override any existing fake kernel registrations.
2025-08-26T21:24:35.5582535Z     
2025-08-26T21:24:35.5582752Z     The input is a dictionary mapping operator names to a set of operator
2025-08-26T21:24:35.5583133Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-08-26T21:24:35.5583517Z     are a record of the input and output tensor metadata. Based on this
2025-08-26T21:24:35.5583893Z     information we will match a given input to the recorded profile, and return
2025-08-26T21:24:35.5584279Z     an output with the same metadata as in the recorded profile. If a profile
2025-08-26T21:24:35.5584609Z     doesn't exist then an exception will be thrown.
2025-08-26T21:24:35.5584840Z     
2025-08-26T21:24:35.5585078Z     The fake kernel generation is considered unsafe because it relies on the
2025-08-26T21:24:35.5585466Z     rigid, pre-defined operator profiles that do not account for potential
2025-08-26T21:24:35.5585952Z     variations in output behavior. Specifically, the generated kernels assume a
2025-08-26T21:24:35.5586380Z     fixed relationship between input and output ranks. However, in reality, it's
2025-08-26T21:24:35.5586793Z     possible that data-dependent operations may produce outputs of different
2025-08-26T21:24:35.5587244Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-08-26T21:24:35.5587617Z     are inflexible and unable to accommodate these nuances, making them
2025-08-26T21:24:35.5587921Z     potentially unsafe.
2025-08-26T21:24:35.5588099Z     
2025-08-26T21:24:35.5588237Z     Args:
2025-08-26T21:24:35.5588469Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-08-26T21:24:35.5588832Z             name to a set of operator profiles from which we will generate fake
2025-08-26T21:24:35.5589104Z             kernels.
2025-08-26T21:24:35.5589264Z     
2025-08-26T21:24:35.5589397Z     Examples:
2025-08-26T21:24:35.5589558Z     
2025-08-26T21:24:35.5589694Z         >>> # Example: Registering an op-profile from draft-export
2025-08-26T21:24:35.5589761Z         >>> import torch
2025-08-26T21:24:35.5589877Z         >>> from torch.export._draft_export import draft_export
2025-08-26T21:24:35.5589941Z         >>>
2025-08-26T21:24:35.5590073Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-08-26T21:24:35.5590162Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-08-26T21:24:35.5590235Z         >>>     return x + y
2025-08-26T21:24:35.5590293Z         >>>
2025-08-26T21:24:35.5590375Z         >>> class M(torch.nn.Module):
2025-08-26T21:24:35.5590449Z         >>>     def forward(self, a, b):
2025-08-26T21:24:35.5590555Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-08-26T21:24:35.5590628Z         >>>         return res
2025-08-26T21:24:35.5590684Z         >>>
2025-08-26T21:24:35.5590805Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-08-26T21:24:35.5590861Z         >>>
2025-08-26T21:24:35.5591071Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-08-26T21:24:35.5591164Z         >>>     decomp = ep.run_decompositions()
2025-08-26T21:24:35.5591219Z     
2025-08-26T21:24:35.5591283Z     
2025-08-26T21:24:35.5591618Z     Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-08-26T21:24:35.5591673Z     
2025-08-26T21:24:35.5591745Z       warnings.warn(msg)
2025-08-26T21:24:35.5591800Z     
2025-08-26T21:24:35.5591938Z --- Parse Warning: 11 / 17 ---
2025-08-26T21:24:35.5592729Z     /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.
2025-08-26T21:24:35.5592895Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5592955Z     
2025-08-26T21:24:35.5593137Z     The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-08-26T21:24:35.5593295Z     network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-08-26T21:24:35.5593464Z     zeroes out the activations based on the mask_fn (or sparsification function)
2025-08-26T21:24:35.5593531Z     input by the user.
2025-08-26T21:24:35.5593685Z     The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-08-26T21:24:35.5593793Z     mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-08-26T21:24:35.5593861Z     
2025-08-26T21:24:35.5593924Z     Note::
2025-08-26T21:24:35.5594142Z         The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-08-26T21:24:35.5594204Z     
2025-08-26T21:24:35.5594262Z     Args:
2025-08-26T21:24:35.5594339Z         model (nn.Module):
2025-08-26T21:24:35.5594494Z             The model whose layers will be sparsified. The layers that needs to be
2025-08-26T21:24:35.5594731Z             sparsified should be added separately using the register_layer() function
2025-08-26T21:24:35.5594824Z         aggregate_fn (Optional, Callable):
2025-08-26T21:24:35.5595065Z             default aggregate_fn that is used if not specified while registering the layer.
2025-08-26T21:24:35.5595185Z             specifies how inputs should be aggregated over time.
2025-08-26T21:24:35.5595377Z             The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-08-26T21:24:35.5595437Z             Example
2025-08-26T21:24:35.5595568Z                 def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-08-26T21:24:35.5595652Z                 reduce_fn (Optional, Callable):
2025-08-26T21:24:35.5595901Z                     default reduce_fn that is used if not specified while registering the layer.
2025-08-26T21:24:35.5596077Z                     reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-08-26T21:24:35.5596166Z                     calling agg_fn() on all inputs.
2025-08-26T21:24:35.5596236Z                     Example
2025-08-26T21:24:35.5596372Z                 def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-08-26T21:24:35.5596462Z                 mask_fn (Optional, Callable):
2025-08-26T21:24:35.5596673Z                     default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-08-26T21:24:35.5596851Z                     calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-08-26T21:24:35.5596926Z                     register_layer().
2025-08-26T21:24:35.5597163Z                     Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-08-26T21:24:35.5597236Z                     arguments.
2025-08-26T21:24:35.5597327Z                 features (Optional, list):
2025-08-26T21:24:35.5597435Z                     default selected features to sparsify.
2025-08-26T21:24:35.5597618Z                     If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-08-26T21:24:35.5597687Z                     For example,
2025-08-26T21:24:35.5597871Z                 mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-08-26T21:24:35.5597951Z                 feature_dim (Optional, int):
2025-08-26T21:24:35.5598143Z                     default dimension of input features. Again, features along this dim will be chosen
2025-08-26T21:24:35.5598219Z                     for sparsification.
2025-08-26T21:24:35.5598297Z                 sparse_config (Dict):
2025-08-26T21:24:35.5598455Z                     Default configuration for the mask_fn. This config will be passed
2025-08-26T21:24:35.5598529Z                     with the mask_fn()
2025-08-26T21:24:35.5598592Z     
2025-08-26T21:24:35.5598653Z     Example:
2025-08-26T21:24:35.5598725Z         >>> # xdoctest: +SKIP
2025-08-26T21:24:35.5598808Z         >>> model = SomeModel()
2025-08-26T21:24:35.5598978Z         >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-08-26T21:24:35.5599061Z         >>> # Initialize aggregate_fn
2025-08-26T21:24:35.5599142Z         >>> def agg_fn(x, y):
2025-08-26T21:24:35.5599208Z         >>>     return x + y
2025-08-26T21:24:35.5599273Z         >>>
2025-08-26T21:24:35.5599345Z         >>> # Initialize reduce_fn
2025-08-26T21:24:35.5599412Z         >>> def reduce_fn(x):
2025-08-26T21:24:35.5599499Z         >>>     return torch.mean(x, dim=0)
2025-08-26T21:24:35.5599556Z         >>>
2025-08-26T21:24:35.5599633Z         >>> # Initialize mask_fn
2025-08-26T21:24:35.5599701Z         >>> def mask_fn(data):
2025-08-26T21:24:35.5599804Z         >>>     return torch.eye(data.shape).to(data.device)
2025-08-26T21:24:35.5599869Z         >>>
2025-08-26T21:24:35.5599926Z         >>>
2025-08-26T21:24:35.5600017Z         >>> act_sparsifier.register_layer(
2025-08-26T21:24:35.5600176Z         ...     model.some_layer,
2025-08-26T21:24:35.5600250Z         ...     aggregate_fn=agg_fn,
2025-08-26T21:24:35.5600328Z         ...     reduce_fn=reduce_fn,
2025-08-26T21:24:35.5600395Z         ...     mask_fn=mask_fn,
2025-08-26T21:24:35.5600519Z         ... )
2025-08-26T21:24:35.5600576Z         >>>
2025-08-26T21:24:35.5600647Z         >>> # start training process
2025-08-26T21:24:35.5600725Z         >>> for _ in [...]:
2025-08-26T21:24:35.5600795Z         >>> # epoch starts
2025-08-26T21:24:35.5600920Z         >>> # model.forward(), compute_loss() and model.backwards()
2025-08-26T21:24:35.5600990Z         >>> # epoch ends
2025-08-26T21:24:35.5601068Z         >>>     act_sparsifier.step()
2025-08-26T21:24:35.5601145Z         >>> # end training process
2025-08-26T21:24:35.5601220Z         >>> sparsifier.squash_mask()
2025-08-26T21:24:35.5601276Z     
2025-08-26T21:24:35.5601619Z     Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-08-26T21:24:35.5601681Z     
2025-08-26T21:24:35.5601741Z     _._ = None
2025-08-26T21:24:35.5601798Z     ^
2025-08-26T21:24:35.5601865Z       warnings.warn(msg)
2025-08-26T21:24:35.5601926Z     
2025-08-26T21:24:35.5602077Z --- Parse Warning: 12 / 17 ---
2025-08-26T21:24:35.5602724Z     /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.
2025-08-26T21:24:35.5602894Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5602951Z     
2025-08-26T21:24:35.5603142Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-08-26T21:24:35.5603322Z     The submesh created consists of the dimensions and the communicators indicated by
2025-08-26T21:24:35.5603391Z     ``mesh_dim_names``
2025-08-26T21:24:35.5603448Z     
2025-08-26T21:24:35.5603511Z     Args:
2025-08-26T21:24:35.5603677Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-08-26T21:24:35.5603805Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-08-26T21:24:35.5603875Z     Returns:
2025-08-26T21:24:35.5603948Z         A :class:`DeviceMesh` object
2025-08-26T21:24:35.5604004Z     
2025-08-26T21:24:35.5604205Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-08-26T21:24:35.5604275Z     In the first example:
2025-08-26T21:24:35.5604455Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-08-26T21:24:35.5604621Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-08-26T21:24:35.5604772Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-08-26T21:24:35.5604930Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-08-26T21:24:35.5605076Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-08-26T21:24:35.5605227Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-08-26T21:24:35.5605288Z     
2025-08-26T21:24:35.5605361Z     In the second example:
2025-08-26T21:24:35.5605549Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-08-26T21:24:35.5605722Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-08-26T21:24:35.5605899Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-08-26T21:24:35.5606070Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-08-26T21:24:35.5606128Z     
2025-08-26T21:24:35.5606201Z     Example::
2025-08-26T21:24:35.5606257Z     
2025-08-26T21:24:35.5606418Z         >>> # xdoctest: +SKIP("no rank")
2025-08-26T21:24:35.5606547Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-08-26T21:24:35.5606608Z         >>>
2025-08-26T21:24:35.5606813Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-08-26T21:24:35.5606915Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-08-26T21:24:35.5607103Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-26T21:24:35.5607178Z         >>> tp_mesh = mesh_2d["tp"]
2025-08-26T21:24:35.5607247Z         >>> dp_mesh = mesh_2d["dp"]
2025-08-26T21:24:35.5607314Z         >>>
2025-08-26T21:24:35.5607382Z         >>> # Initialize a 3D mesh.
2025-08-26T21:24:35.5607574Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-08-26T21:24:35.5607779Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-08-26T21:24:35.5607868Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-08-26T21:24:35.5607953Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-08-26T21:24:35.5608013Z     
2025-08-26T21:24:35.5608490Z     Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-08-26T21:24:35.5608549Z     
2025-08-26T21:24:35.5608717Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-26T21:24:35.5608808Z                                                                                      ^
2025-08-26T21:24:35.5608879Z       warnings.warn(msg)
2025-08-26T21:24:35.5608945Z     
2025-08-26T21:24:35.5609074Z --- Parse Warning: 13 / 17 ---
2025-08-26T21:24:35.5609718Z     /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.
2025-08-26T21:24:35.5609892Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5609956Z     
2025-08-26T21:24:35.5610159Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-08-26T21:24:35.5610215Z     
2025-08-26T21:24:35.5610429Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-08-26T21:24:35.5610490Z     
2025-08-26T21:24:35.5610677Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-26T21:24:35.5610775Z     will be visible to the whole process.
2025-08-26T21:24:35.5610834Z     
2025-08-26T21:24:35.5611029Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-08-26T21:24:35.5611096Z     
2025-08-26T21:24:35.5611184Z     1) set_up_planner - called on all ranks.
2025-08-26T21:24:35.5611287Z         Signals the start of a checkpoint save.
2025-08-26T21:24:35.5611344Z     
2025-08-26T21:24:35.5611432Z     2) create_local_plan - called on all ranks.
2025-08-26T21:24:35.5611638Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-08-26T21:24:35.5611698Z     
2025-08-26T21:24:35.5611830Z     3) create_global_plan - called on the coordinator rank only.
2025-08-26T21:24:35.5611969Z         Takes the SavePlan from all ranks and make any global decision.
2025-08-26T21:24:35.5612025Z     
2025-08-26T21:24:35.5612112Z     4) finish_plan - called on all ranks.
2025-08-26T21:24:35.5612262Z         This gives each rank a chance to adjust to global planning decisions.
2025-08-26T21:24:35.5612323Z     
2025-08-26T21:24:35.5612431Z     5) resolve_data - called multiple times on each rank
2025-08-26T21:24:35.5612572Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-08-26T21:24:35.5612637Z     
2025-08-26T21:24:35.5612916Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-08-26T21:24:35.5613049Z     most changes can be expressed by changes in a single method.
2025-08-26T21:24:35.5613106Z     
2025-08-26T21:24:35.5613254Z     There are 3 usual patterns of extension:
2025-08-26T21:24:35.5613316Z     
2025-08-26T21:24:35.5613491Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-08-26T21:24:35.5613653Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-08-26T21:24:35.5613710Z     
2025-08-26T21:24:35.5613792Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T21:24:35.5613903Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-08-26T21:24:35.5613978Z     >>>     def set_up_planner(
2025-08-26T21:24:35.5614045Z     >>>         self,
2025-08-26T21:24:35.5614123Z     >>>         state_dict: STATE_DICT_TYPE,
2025-08-26T21:24:35.5614214Z     >>>         storage_meta: Optional[StorageMeta],
2025-08-26T21:24:35.5614299Z     >>>         is_coordinator: bool,
2025-08-26T21:24:35.5614364Z     >>>     ) -> None:
2025-08-26T21:24:35.5614440Z     >>> # prefix all keys with `foo_``
2025-08-26T21:24:35.5614643Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-08-26T21:24:35.5614705Z     
2025-08-26T21:24:35.5614936Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-08-26T21:24:35.5615000Z     
2025-08-26T21:24:35.5615079Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T21:24:35.5615175Z     >>> class FP16Planner(DefaultSavePlanner):
2025-08-26T21:24:35.5615251Z     >>>     def create_local_plan(self):
2025-08-26T21:24:35.5615344Z     >>>         plan = super().create_local_plan()
2025-08-26T21:24:35.5615416Z     >>>         for p in plan:
2025-08-26T21:24:35.5615501Z     >>>             if p.tensor_data is not None:
2025-08-26T21:24:35.5615625Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-08-26T21:24:35.5615692Z     >>>         return plan
2025-08-26T21:24:35.5615756Z     >>>
2025-08-26T21:24:35.5615842Z     >>>     def resolve_data(self, write_item):
2025-08-26T21:24:35.5615939Z     >>>         item = super().resolve_data(write_item)
2025-08-26T21:24:35.5616138Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-08-26T21:24:35.5616196Z     
2025-08-26T21:24:35.5616433Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-08-26T21:24:35.5616492Z     
2025-08-26T21:24:35.5616572Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T21:24:35.5616659Z     >>> from itertools import zip_longest
2025-08-26T21:24:35.5616737Z     >>> from dataclasses import replace
2025-08-26T21:24:35.5616862Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-08-26T21:24:35.5617050Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-08-26T21:24:35.5617146Z     >>> # This sample doesn't handle ShardedTensors
2025-08-26T21:24:35.5617245Z     >>>     def create_global_plan(self, all_plans):
2025-08-26T21:24:35.5617351Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-08-26T21:24:35.5617431Z     >>>         items_per_rank = [
2025-08-26T21:24:35.5617530Z     >>>             [item for item in items if item is not None]
2025-08-26T21:24:35.5617643Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-08-26T21:24:35.5617707Z     >>>         ]
2025-08-26T21:24:35.5617775Z     >>>         all_plans = [
2025-08-26T21:24:35.5617862Z     >>>             replace(plan, items=items)
2025-08-26T21:24:35.5617995Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-08-26T21:24:35.5618055Z     >>>         ]
2025-08-26T21:24:35.5618171Z     >>>         return super().create_global_plan(all_plans)
2025-08-26T21:24:35.5618229Z     
2025-08-26T21:24:35.5618490Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-08-26T21:24:35.5618676Z     accomplished by having each rank contribute their data items in the local plan and
2025-08-26T21:24:35.5618836Z     the global planner aggregate them:
2025-08-26T21:24:35.5618899Z     
2025-08-26T21:24:35.5618992Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T21:24:35.5619111Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-08-26T21:24:35.5619203Z     >>>     def create_local_plan(self) -> SavePlan:
2025-08-26T21:24:35.5619289Z     >>>         plan = super().create_local_plan()
2025-08-26T21:24:35.5619412Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-08-26T21:24:35.5619472Z     >>>
2025-08-26T21:24:35.5619684Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-08-26T21:24:35.5619821Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-08-26T21:24:35.5619936Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-08-26T21:24:35.5620062Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-08-26T21:24:35.5620143Z     >>>         return global_plan, metadata
2025-08-26T21:24:35.5620209Z     
2025-08-26T21:24:35.5620567Z     Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-08-26T21:24:35.5620625Z     
2025-08-26T21:24:35.5620692Z     _._ = None
2025-08-26T21:24:35.5620750Z     ^
2025-08-26T21:24:35.5620826Z       warnings.warn(msg)
2025-08-26T21:24:35.5620883Z     
2025-08-26T21:24:35.5621013Z --- Parse Warning: 14 / 17 ---
2025-08-26T21:24:35.5621670Z     /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.
2025-08-26T21:24:35.5621847Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5621911Z     
2025-08-26T21:24:35.5622109Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-08-26T21:24:35.5622171Z     
2025-08-26T21:24:35.5622372Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-08-26T21:24:35.5622429Z     
2025-08-26T21:24:35.5622625Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-26T21:24:35.5622707Z     will be visible to the whole process.
2025-08-26T21:24:35.5622764Z     
2025-08-26T21:24:35.5622973Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-08-26T21:24:35.5623031Z     
2025-08-26T21:24:35.5623123Z     1) set_up_planner - called on all ranks.
2025-08-26T21:24:35.5623214Z         Signals the start of loading a checkpoint.
2025-08-26T21:24:35.5623274Z     
2025-08-26T21:24:35.5623371Z     2) create_local_plan - called on all ranks.
2025-08-26T21:24:35.5623565Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-08-26T21:24:35.5623622Z     
2025-08-26T21:24:35.5623758Z     3) create_global_plan - called on the coordinator rank only.
2025-08-26T21:24:35.5623893Z         Takes the LoadPlan from all ranks and make any global decision.
2025-08-26T21:24:35.5623957Z     
2025-08-26T21:24:35.5624059Z     4) load_bytes - called multiple times on each rank
2025-08-26T21:24:35.5624177Z         This is called once per non-tensor value in state_dict.
2025-08-26T21:24:35.5624240Z     
2025-08-26T21:24:35.5624392Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-08-26T21:24:35.5624522Z         They are called in pair for each Tensor value in state_dict.
2025-08-26T21:24:35.5624578Z     
2025-08-26T21:24:35.5624790Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-08-26T21:24:35.5625003Z     most changes can be expressed by changes in a single method.
2025-08-26T21:24:35.5625066Z     
2025-08-26T21:24:35.5625166Z     There are two usual patterns of extension:
2025-08-26T21:24:35.5625284Z     
2025-08-26T21:24:35.5625460Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-08-26T21:24:35.5625640Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-08-26T21:24:35.5625793Z     to keep a reference to the original state_dict as load happens in place so
2025-08-26T21:24:35.5625886Z     we need to be able to perform it in place
2025-08-26T21:24:35.5625943Z     
2025-08-26T21:24:35.5626024Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T21:24:35.5626125Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-08-26T21:24:35.5626197Z     >>>     def set_up_planner(
2025-08-26T21:24:35.5626263Z     >>>         self,
2025-08-26T21:24:35.5626339Z     >>>         state_dict: STATE_DICT_TYPE,
2025-08-26T21:24:35.5626417Z     >>>         metadata: Metadata,
2025-08-26T21:24:35.5626496Z     >>>         is_coordinator: bool,
2025-08-26T21:24:35.5626560Z     >>>     ) -> None:
2025-08-26T21:24:35.5626655Z     >>>         self.original_state_dict = state_dict
2025-08-26T21:24:35.5626785Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-08-26T21:24:35.5626842Z     >>>
2025-08-26T21:24:35.5626930Z     >>>         if self.flatten_sharded_tensors:
2025-08-26T21:24:35.5627036Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-08-26T21:24:35.5627100Z     >>>
2025-08-26T21:24:35.5627178Z     >>>         if self.flatten_state_dict:
2025-08-26T21:24:35.5627304Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-08-26T21:24:35.5627368Z     >>>
2025-08-26T21:24:35.5627458Z     >>>         self.state_dict = state_dict
2025-08-26T21:24:35.5627537Z     >>>         self.metadata = metadata
2025-08-26T21:24:35.5627636Z     >>>         self.is_coordinator = is_coordinator
2025-08-26T21:24:35.5627694Z     >>>
2025-08-26T21:24:35.5627787Z     >>>     def load_bytes(self, read_item, value):
2025-08-26T21:24:35.5627862Z     >>> # Remove the "foo_" prefix
2025-08-26T21:24:35.5628088Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-08-26T21:24:35.5628151Z     
2025-08-26T21:24:35.5628207Z     
2025-08-26T21:24:35.5628386Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-08-26T21:24:35.5628443Z     
2025-08-26T21:24:35.5628526Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T21:24:35.5628637Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-08-26T21:24:35.5628718Z     >>>     def resolve_tensor(self, read_item):
2025-08-26T21:24:35.5628819Z     >>>         tensor = super().resolve_tensor(read_item)
2025-08-26T21:24:35.5628925Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-08-26T21:24:35.5628987Z     >>>
2025-08-26T21:24:35.5629087Z     >>>     def commit_tensor(self, read_item, tensor):
2025-08-26T21:24:35.5629200Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-08-26T21:24:35.5629259Z     
2025-08-26T21:24:35.5629623Z     Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-08-26T21:24:35.5629677Z     
2025-08-26T21:24:35.5629739Z     _._ = None
2025-08-26T21:24:35.5629793Z     ^
2025-08-26T21:24:35.5629866Z       warnings.warn(msg)
2025-08-26T21:24:35.5629918Z     
2025-08-26T21:24:35.5630051Z --- Parse Warning: 15 / 17 ---
2025-08-26T21:24:35.5630679Z     /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.
2025-08-26T21:24:35.5630919Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5630991Z     
2025-08-26T21:24:35.5631133Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-08-26T21:24:35.5631265Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-08-26T21:24:35.5631482Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-08-26T21:24:35.5631633Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-08-26T21:24:35.5631773Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-08-26T21:24:35.5631833Z     follows:
2025-08-26T21:24:35.5631890Z     
2025-08-26T21:24:35.5631983Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T21:24:35.5632145Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-26T21:24:35.5632235Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-08-26T21:24:35.5632374Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-08-26T21:24:35.5632532Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-08-26T21:24:35.5632619Z         >>>     state = fsdp.state_dict()
2025-08-26T21:24:35.5632765Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-08-26T21:24:35.5632933Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-08-26T21:24:35.5633090Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-08-26T21:24:35.5633164Z         >>> if dist.get_rank() == 0:
2025-08-26T21:24:35.5633296Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-08-26T21:24:35.5633394Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-08-26T21:24:35.5633484Z         >>>     model.load_state_dict(state_dict)
2025-08-26T21:24:35.5633640Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-08-26T21:24:35.5633805Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-08-26T21:24:35.5633873Z         >>> fsdp = FSDP(
2025-08-26T21:24:35.5633934Z         ...     model,
2025-08-26T21:24:35.5634030Z         ...     device_id=torch.cuda.current_device(),
2025-08-26T21:24:35.5634111Z         ...     auto_wrap_policy=...,
2025-08-26T21:24:35.5634183Z         ...     sync_module_states=True,
2025-08-26T21:24:35.5634244Z         ... )
2025-08-26T21:24:35.5634391Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-08-26T21:24:35.5634452Z     
2025-08-26T21:24:35.5634515Z     Attributes:
2025-08-26T21:24:35.5634651Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-08-26T21:24:35.5634792Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-08-26T21:24:35.5634900Z             ranks save the full state dict. (Default: ``False``)
2025-08-26T21:24:35.5634974Z     
2025-08-26T21:24:35.5635317Z     Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-08-26T21:24:35.5635375Z     
2025-08-26T21:24:35.5635437Z     _._ = None
2025-08-26T21:24:35.5635498Z     ^
2025-08-26T21:24:35.5635572Z       warnings.warn(msg)
2025-08-26T21:24:35.5635629Z     
2025-08-26T21:24:35.5635802Z --- Parse Warning: 16 / 17 ---
2025-08-26T21:24:35.5636446Z     /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.
2025-08-26T21:24:35.5636611Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5636721Z     Register a parametrization to a tensor in a module.
2025-08-26T21:24:35.5636774Z     
2025-08-26T21:24:35.5636960Z         Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-08-26T21:24:35.5637237Z         the module will return the parametrized version ``parametrization(module.weight)``.
2025-08-26T21:24:35.5637423Z         If the original tensor requires a gradient, the backward pass will differentiate
2025-08-26T21:24:35.5637682Z         through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-08-26T21:24:35.5637739Z     
2025-08-26T21:24:35.5637952Z         The first time that a module registers a parametrization, this function will add an attribute
2025-08-26T21:24:35.5638123Z         ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-08-26T21:24:35.5638180Z     
2025-08-26T21:24:35.5638358Z         The list of parametrizations on the tensor ``weight`` will be accessible under
2025-08-26T21:24:35.5638450Z         ``module.parametrizations.weight``.
2025-08-26T21:24:35.5638506Z     
2025-08-26T21:24:35.5638607Z         The original tensor will be accessible under
2025-08-26T21:24:35.5638728Z         ``module.parametrizations.weight.original``.
2025-08-26T21:24:35.5638792Z     
2025-08-26T21:24:35.5638979Z         Parametrizations may be concatenated by registering several parametrizations
2025-08-26T21:24:35.5639053Z         on the same attribute.
2025-08-26T21:24:35.5639121Z     
2025-08-26T21:24:35.5639284Z         The training mode of a registered parametrization is updated on registration
2025-08-26T21:24:35.5639387Z         to match the training mode of the host module
2025-08-26T21:24:35.5639444Z     
2025-08-26T21:24:35.5639655Z         Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-08-26T21:24:35.5639755Z         using the context manager :func:`cached`.
2025-08-26T21:24:35.5639812Z     
2025-08-26T21:24:35.5639989Z         A :attr:`parametrization` may optionally implement a method with signature
2025-08-26T21:24:35.5640046Z     
2025-08-26T21:24:35.5640125Z         .. code-block:: python
2025-08-26T21:24:35.5640188Z     
2025-08-26T21:24:35.5640343Z             def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-08-26T21:24:35.5640400Z     
2025-08-26T21:24:35.5640592Z         This method is called on the unparametrized tensor when the first parametrization
2025-08-26T21:24:35.5640742Z         is registered to compute the initial value of the original tensor.
2025-08-26T21:24:35.5640954Z         If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-08-26T21:24:35.5641012Z     
2025-08-26T21:24:35.5641229Z         If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-08-26T21:24:35.5641422Z         to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-08-26T21:24:35.5641480Z     
2025-08-26T21:24:35.5641642Z         It is possible for the first parametrization to depend on several inputs.
2025-08-26T21:24:35.5641809Z         This may be implemented returning a tuple of tensors from ``right_inverse``
2025-08-26T21:24:35.5641993Z         (see the example implementation of a ``RankOne`` parametrization below).
2025-08-26T21:24:35.5642051Z     
2025-08-26T21:24:35.5642285Z         In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-08-26T21:24:35.5642388Z         with names ``original0``, ``original1``,...
2025-08-26T21:24:35.5642445Z     
2025-08-26T21:24:35.5642514Z         .. note::
2025-08-26T21:24:35.5642570Z     
2025-08-26T21:24:35.5642758Z             If unsafe=False (default) both the forward and right_inverse methods will be called
2025-08-26T21:24:35.5643052Z             once to perform a number of consistency checks.
2025-08-26T21:24:35.5643243Z             If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-08-26T21:24:35.5643335Z             and nothing will be called otherwise.
2025-08-26T21:24:35.5643391Z     
2025-08-26T21:24:35.5643452Z         .. note::
2025-08-26T21:24:35.5643512Z     
2025-08-26T21:24:35.5643777Z             In most situations, ``right_inverse`` will be a function such that
2025-08-26T21:24:35.5643876Z             ``forward(right_inverse(X)) == X`` (see
2025-08-26T21:24:35.5644095Z             `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-08-26T21:24:35.5644373Z             Sometimes, when the parametrization is not surjective, it may be reasonable
2025-08-26T21:24:35.5644449Z             to relax this.
2025-08-26T21:24:35.5644516Z     
2025-08-26T21:24:35.5644582Z         .. warning::
2025-08-26T21:24:35.5644647Z     
2025-08-26T21:24:35.5644837Z             If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-08-26T21:24:35.5645032Z             will register a number of new parameters. If such parametrization is registered
2025-08-26T21:24:35.5645216Z             after the optimizer is created, these new parameters will need to be added manually
2025-08-26T21:24:35.5645355Z             to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-08-26T21:24:35.5645423Z     
2025-08-26T21:24:35.5645483Z         Args:
2025-08-26T21:24:35.5645637Z             module (nn.Module): module on which to register the parametrization
2025-08-26T21:24:35.5645791Z             tensor_name (str): name of the parameter or buffer on which to register
2025-08-26T21:24:35.5645866Z                 the parametrization
2025-08-26T21:24:35.5646014Z             parametrization (nn.Module): the parametrization to register
2025-08-26T21:24:35.5646078Z         Keyword args:
2025-08-26T21:24:35.5646236Z             unsafe (bool): a boolean flag that denotes whether the parametrization
2025-08-26T21:24:35.5646370Z                 may change the dtype and shape of the tensor. Default: `False`
2025-08-26T21:24:35.5646556Z                 Warning: the parametrization is not checked for consistency upon registration.
2025-08-26T21:24:35.5646645Z                 Enable this flag at your own risk.
2025-08-26T21:24:35.5646701Z     
2025-08-26T21:24:35.5646766Z         Raises:
2025-08-26T21:24:35.5646968Z             ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-08-26T21:24:35.5647025Z     
2025-08-26T21:24:35.5647096Z         Examples:
2025-08-26T21:24:35.5647209Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-08-26T21:24:35.5647283Z             >>> import torch
2025-08-26T21:24:35.5647359Z             >>> import torch.nn as nn
2025-08-26T21:24:35.5654412Z             >>> import torch.nn.utils.parametrize as P
2025-08-26T21:24:35.5654504Z             >>>
2025-08-26T21:24:35.5654615Z             >>> class Symmetric(nn.Module):
2025-08-26T21:24:35.5654698Z             >>>     def forward(self, X):
2025-08-26T21:24:35.5654851Z             >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-08-26T21:24:35.5654915Z             >>>
2025-08-26T21:24:35.5655004Z             >>>     def right_inverse(self, A):
2025-08-26T21:24:35.5655088Z             >>>         return A.triu()
2025-08-26T21:24:35.5655159Z             >>>
2025-08-26T21:24:35.5655238Z             >>> m = nn.Linear(5, 5)
2025-08-26T21:24:35.5655366Z             >>> P.register_parametrization(m, "weight", Symmetric())
2025-08-26T21:24:35.5655550Z             >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-08-26T21:24:35.5655623Z             True
2025-08-26T21:24:35.5655697Z             >>> A = torch.rand(5, 5)
2025-08-26T21:24:35.5655792Z             >>> A = A + A.T  # A is now symmetric
2025-08-26T21:24:35.5655937Z             >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-08-26T21:24:35.5656029Z             >>> print(torch.allclose(m.weight, A))
2025-08-26T21:24:35.5656097Z             True
2025-08-26T21:24:35.5656164Z     
2025-08-26T21:24:35.5656251Z             >>> class RankOne(nn.Module):
2025-08-26T21:24:35.5656335Z             >>>     def forward(self, x, y):
2025-08-26T21:24:35.5656441Z             >>> # Form a rank 1 matrix multiplying two vectors
2025-08-26T21:24:35.5656650Z             >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-08-26T21:24:35.5656712Z             >>>
2025-08-26T21:24:35.5656805Z             >>>     def right_inverse(self, Z):
2025-08-26T21:24:35.5656956Z             >>> # Project Z onto the rank 1 matrices
2025-08-26T21:24:35.5657079Z             >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-08-26T21:24:35.5657172Z             >>> # Return rescaled singular vectors
2025-08-26T21:24:35.5657263Z             >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-08-26T21:24:35.5657379Z             >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-08-26T21:24:35.5657441Z             >>>
2025-08-26T21:24:35.5657547Z             >>> linear_rank_one = P.register_parametrization(
2025-08-26T21:24:35.5657646Z             ...     nn.Linear(4, 4), "weight", RankOne()
2025-08-26T21:24:35.5657706Z             ... )
2025-08-26T21:24:35.5657859Z             >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-08-26T21:24:35.5657917Z             1
2025-08-26T21:24:35.5657977Z     
2025-08-26T21:24:35.5658040Z         
2025-08-26T21:24:35.5658407Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-08-26T21:24:35.5658471Z     
2025-08-26T21:24:35.5658536Z     _._ = None
2025-08-26T21:24:35.5658594Z     ^
2025-08-26T21:24:35.5658671Z       warnings.warn(msg)
2025-08-26T21:24:35.5658728Z     
2025-08-26T21:24:35.5658908Z --- Parse Warning: 17 / 17 ---
2025-08-26T21:24:35.5659550Z     /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.
2025-08-26T21:24:35.5659722Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T21:24:35.5659857Z     Reduce learning rate when a metric has stopped improving.
2025-08-26T21:24:35.5659915Z     
2025-08-26T21:24:35.5660055Z         Models often benefit from reducing the learning rate by a factor
2025-08-26T21:24:35.5660195Z         of 2-10 once learning stagnates. This scheduler reads a metrics
2025-08-26T21:24:35.5660335Z         quantity and if no improvement is seen for a 'patience' number
2025-08-26T21:24:35.5660430Z         of epochs, the learning rate is reduced.
2025-08-26T21:24:35.5660488Z     
2025-08-26T21:24:35.5660548Z         Args:
2025-08-26T21:24:35.5660654Z             optimizer (Optimizer): Wrapped optimizer.
2025-08-26T21:24:35.5660765Z             mode (str): One of `min`, `max`. In `min` mode, lr will
2025-08-26T21:24:35.5660876Z                 be reduced when the quantity monitored has stopped
2025-08-26T21:24:35.5660998Z                 decreasing; in `max` mode it will be reduced when the
2025-08-26T21:24:35.5661133Z                 quantity monitored has stopped increasing. Default: 'min'.
2025-08-26T21:24:35.5661260Z             factor (float): Factor by which the learning rate will be
2025-08-26T21:24:35.5661361Z                 reduced. new_lr = lr * factor. Default: 0.1.
2025-08-26T21:24:35.5661515Z             patience (int): The number of allowed epochs with no improvement after
2025-08-26T21:24:35.5661619Z                 which the learning rate will be reduced.
2025-08-26T21:24:35.5661788Z                 For example, consider the case of having no patience (`patience = 0`).
2025-08-26T21:24:35.5662053Z                 In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-08-26T21:24:35.5662199Z                 In the second epoch, if the performance is worse than the baseline,
2025-08-26T21:24:35.5662310Z                 we have what is considered an intolerable epoch.
2025-08-26T21:24:35.5662500Z                 Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-08-26T21:24:35.5662690Z                 the learning rate is reduced at the end of this epoch.
2025-08-26T21:24:35.5662923Z                 From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-08-26T21:24:35.5663213Z                 if the performance is worse than the baseline. If the performance improves or remains the same,
2025-08-26T21:24:35.5663306Z                 the learning rate is not adjusted.
2025-08-26T21:24:35.5663375Z                 Default: 10.
2025-08-26T21:24:35.5663508Z             threshold (float): Threshold for measuring the new optimum,
2025-08-26T21:24:35.5663628Z                 to only focus on significant changes. Default: 1e-4.
2025-08-26T21:24:35.5663748Z             threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-08-26T21:24:35.5663860Z                 dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-08-26T21:24:35.5663960Z                 mode or best * ( 1 - threshold ) in `min` mode.
2025-08-26T21:24:35.5664068Z                 In `abs` mode, dynamic_threshold = best + threshold in
2025-08-26T21:24:35.5664198Z                 `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-08-26T21:24:35.5664318Z             cooldown (int): Number of epochs to wait before resuming
2025-08-26T21:24:35.5664447Z                 normal operation after lr has been reduced. Default: 0.
2025-08-26T21:24:35.5664558Z             min_lr (float or list): A scalar or a list of scalars. A
2025-08-26T21:24:35.5664667Z                 lower bound on the learning rate of all param groups
2025-08-26T21:24:35.5664767Z                 or each group respectively. Default: 0.
2025-08-26T21:24:35.5664889Z             eps (float): Minimal decay applied to lr. If the difference
2025-08-26T21:24:35.5665018Z                 between new and old lr is smaller than eps, the update is
2025-08-26T21:24:35.5665095Z                 ignored. Default: 1e-8.
2025-08-26T21:24:35.5665151Z     
2025-08-26T21:24:35.5665217Z         Example:
2025-08-26T21:24:35.5665293Z             >>> # xdoctest: +SKIP
2025-08-26T21:24:35.5665458Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-08-26T21:24:35.5665568Z             >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-08-26T21:24:35.5665644Z             >>> for epoch in range(10):
2025-08-26T21:24:35.5665727Z             >>>     train(...)
2025-08-26T21:24:35.5665809Z             >>>     val_loss = validate(...)
2025-08-26T21:24:35.5665922Z             >>> # Note that step should be called after validate()
2025-08-26T21:24:35.5666004Z             >>>     scheduler.step(val_loss)
2025-08-26T21:24:35.5666060Z     
2025-08-26T21:24:35.5666205Z         .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-08-26T21:24:35.5666263Z         
2025-08-26T21:24:35.5666555Z     Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-08-26T21:24:35.5666612Z     
2025-08-26T21:24:35.5666689Z         scheduler.step(val_loss)
2025-08-26T21:24:35.5666757Z        ^
2025-08-26T21:24:35.5666825Z       warnings.warn(msg)
2025-08-26T21:24:35.5666886Z     
2025-08-26T21:24:35.5666969Z 
2025-08-26T21:24:35.5667090Z === Found 9 run-time warnings ===
2025-08-26T21:24:35.5667230Z --- Runtime Warning: 1 / 9 ---
2025-08-26T21:24:35.5667413Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1333) at 0x7f99107e7eb0>
2025-08-26T21:24:35.5668319Z     /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.)
2025-08-26T21:24:35.5668403Z       return super().refine_names(names)
2025-08-26T21:24:35.5668458Z     
2025-08-26T21:24:35.5668592Z --- Runtime Warning: 2 / 9 ---
2025-08-26T21:24:35.5668880Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 247) at 0x7f991241be50>
2025-08-26T21:24:35.5669319Z     /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.
2025-08-26T21:24:35.5669595Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-08-26T21:24:35.5669741Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-08-26T21:24:35.5669944Z         registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6
2025-08-26T21:24:35.5670013Z       dispatch key: CPU
2025-08-26T21:24:35.5670307Z       previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-08-26T21:24:35.5670676Z            new kernel: registered at /dev/null:811 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:218.)
2025-08-26T21:24:35.5670798Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-08-26T21:24:35.5670855Z     
2025-08-26T21:24:35.5670982Z --- Runtime Warning: 3 / 9 ---
2025-08-26T21:24:35.5671150Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x7f99106b9f30>
2025-08-26T21:24:35.5672379Z     /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.)
2025-08-26T21:24:35.5672559Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-08-26T21:24:35.5672616Z     
2025-08-26T21:24:35.5672743Z --- Runtime Warning: 4 / 9 ---
2025-08-26T21:24:35.5672930Z example = <DocTest(torch.sparse as_sparse_gradcheck:0 ln 561) at 0x7f9910634280>
2025-08-26T21:24:35.5674003Z     <doctest:/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0>: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.)
2025-08-26T21:24:35.5674065Z     
2025-08-26T21:24:35.5674187Z --- Runtime Warning: 5 / 9 ---
2025-08-26T21:24:35.5674400Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1704) at 0x7f99104b7820>
2025-08-26T21:24:35.5675432Z     /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
2025-08-26T21:24:35.5675560Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-08-26T21:24:35.5675621Z     
2025-08-26T21:24:35.5675846Z --- Runtime Warning: 6 / 9 ---
2025-08-26T21:24:35.5676042Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 90) at 0x7f991063c5e0>
2025-08-26T21:24:35.5676771Z     /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)
2025-08-26T21:24:35.5676839Z       warnings.warn(
2025-08-26T21:24:35.5676897Z     
2025-08-26T21:24:35.5677024Z --- Runtime Warning: 7 / 9 ---
2025-08-26T21:24:35.5677391Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 336) at 0x7f991063f2e0>
2025-08-26T21:24:35.5678113Z     /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)
2025-08-26T21:24:35.5678240Z       warnings.warn(
2025-08-26T21:24:35.5678297Z     
2025-08-26T21:24:35.5678438Z --- Runtime Warning: 8 / 9 ---
2025-08-26T21:24:35.5678624Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 134) at 0x7f991079a6e0>
2025-08-26T21:24:35.5679171Z     /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`.
2025-08-26T21:24:35.5679256Z       WeightNorm.apply(module, name, dim)
2025-08-26T21:24:35.5679317Z     
2025-08-26T21:24:35.5679438Z --- Runtime Warning: 9 / 9 ---
2025-08-26T21:24:35.5679646Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 156) at 0x7f991079b400>
2025-08-26T21:24:35.5680183Z     /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`.
2025-08-26T21:24:35.5680270Z       WeightNorm.apply(module, name, dim)
2025-08-26T21:24:35.5680332Z     
2025-08-26T21:24:35.5680541Z === 374 passed, 488 skipped, 26 warnings in 14.71 seconds ===
2025-08-26T21:24:35.5680696Z Running inductor/test_max_autotune 1/1 ... [2025-08-26 21:24:35.540755]
2025-08-26T21:24:35.5680782Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:24:35.5681369Z 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 21:24:35.541089]
2025-08-26T21:24:42.3626012Z 
2025-08-26T21:24:42.3626980Z 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_2615770566a2af70_.log
2025-08-26T21:24:42.3627668Z 
2025-08-26T21:24:42.3630419Z Running inductor/test_benchmark_fusion 1/1 ... [2025-08-26 21:24:42.362814]
2025-08-26T21:24:42.3630859Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:24:42.3634021Z 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 21:24:42.363148]
2025-08-26T21:25:03.5150591Z 
2025-08-26T21:25:03.5151471Z 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_3976e91dac6e10fa_.log
2025-08-26T21:25:03.5158182Z 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
2025-08-26T21:25:03.5162934Z 
2025-08-26T21:25:03.5163118Z Running inductor/test_cutlass_backend 1/1 ... [2025-08-26 21:25:03.515195]
2025-08-26T21:25:03.5163452Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:25:03.5164202Z 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 21:25:03.515555]
2025-08-26T21:25:09.0492275Z 
2025-08-26T21:25:09.0493166Z 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_cb4ddc187ae8ec4d_.log
2025-08-26T21:25:09.0493726Z 
2025-08-26T21:25:09.0496308Z Running inductor/test_distributed_patterns 1/1 ... [2025-08-26 21:25:09.049387]
2025-08-26T21:25:09.0496692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:25:09.0500051Z 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 21:25:09.049789]
2025-08-26T21:25:33.2571896Z 
2025-08-26T21:25:33.2572832Z 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_06bb7a945cd0fa2f_.log
2025-08-26T21:25:33.2579992Z 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
2025-08-26T21:25:33.2586341Z 
2025-08-26T21:25:33.5670547Z Uploading artifacts took 0.31 seconds
2025-08-26T21:25:33.5673385Z Running dynamo/test_fake_distributed 1/1 ... [2025-08-26 21:25:33.567124]
2025-08-26T21:25:33.5674083Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:25:33.5676615Z 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 21:25:33.567420]
2025-08-26T21:25:41.2952564Z 
2025-08-26T21:25:41.2953453Z 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_adfb19207c663001_.log
2025-08-26T21:25:41.2955213Z 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
2025-08-26T21:25:41.2956102Z 
2025-08-26T21:25:41.2956265Z Running test_utils 1/1 ... [2025-08-26 21:25:41.295328]
2025-08-26T21:25:41.2956600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:25:41.2959312Z 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 21:25:41.295684]
2025-08-26T21:26:16.6687509Z 
2025-08-26T21:26:16.6688281Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_729d304aa34f7dcd_.log
2025-08-26T21:26:16.8153147Z 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, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_no_args, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_valid, test/test_utils.py::TestCheckpoint::test_checkpointing_without_reentrant_early_free, test/test_utils.py::TestCheckpoint::test_get_device_states_recursive, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_meta, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_multi_cuda, test/test_utils.py::TestDataLoaderUtils::test_multi_drop, test/test_utils.py::TestDataLoaderUtils::test_multi_keep, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_single_drop, test/test_utils.py::TestDataLoaderUtils::test_single_keep, test/test_utils.py::TestBottleneck::test_bottleneck_cpu_only, test/test_utils.py::TestBottleneck::test_bottleneck_cuda, test/test_utils.py::TestCollectEnv::test_smoke, test/test_utils.py::TestONNXUtils::test_check_onnx_broadcast, test/test_utils.py::TestONNXUtils::test_prepare_onnx_paddings, test/test_utils.py::TestHipify::test_import_hipify, test/test_utils.py::TestHipifyTrie::test_add_and_search_trie, test/test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie, test/test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_quote_escape, test/test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex, test/test_utils.py::TestAssert::test_assert_scriptable, test/test_utils.py::TestAssert::test_assert_true, test/test_utils.py::TestStandaloneCPPJIT::test_load_standalone, test/test_utils.py::TestRenderUtils::test_basic, test/test_utils.py::TestDeviceUtilsCUDA::test_basic_cuda, test/test_utils.py::TestDeviceUtilsCUDA::test_decorator_cuda, test/test_utils.py::TestDeviceUtilsCUDA::test_decorator_generator_cuda, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_H_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_H_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_H_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_H_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_H_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_H_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_H_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_H_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_H_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_H_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_H_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_H_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_H_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_T_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_T_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_T_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_T_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_T_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_T_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_T_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_T_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_T_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_T_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_T_cuda_int64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops___rdiv___cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops___rdiv___cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops___rdiv___cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops___rdiv___cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops___rdiv___cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops___rdiv___cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops___rdiv___cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops___rdiv___cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops___rdiv___cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops___rdiv___cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops___rdiv___cuda_uint8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__segment_reduce_offsets_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__segment_reduce_offsets_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__segment_reduce_offsets_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__softmax_backward_data_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__softmax_backward_data_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__softmax_backward_data_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__softmax_backward_data_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_put_accumulate_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_put_accumulate_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_put_accumulate_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_put_accumulate_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_put_accumulate_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_put_accumulate_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_put_accumulate_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_put_accumulate_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_put_accumulate_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_put_accumulate_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_put_accumulate_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__unsafe_masked_index_put_accumulate_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__upsample_bilinear2d_aa_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__upsample_bilinear2d_aa_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__upsample_bilinear2d_aa_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops__upsample_bilinear2d_aa_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_abs_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_abs_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_abs_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_abs_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_abs_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_abs_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_abs_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_abs_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_abs_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_abs_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_abs_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_abs_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_abs_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acos_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_acos_cuda_bool, 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, 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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, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_or_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_or_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_or_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_or_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_or_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_or_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_right_shift_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_right_shift_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_right_shift_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_right_shift_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_right_shift_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_xor_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_xor_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_xor_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_xor_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_xor_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bitwise_xor_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_block_diag_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_block_diag_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_block_diag_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_block_diag_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_block_diag_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_block_diag_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_block_diag_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_block_diag_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_block_diag_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_block_diag_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_block_diag_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_block_diag_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_block_diag_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bmm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bmm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bmm_cuda_complex64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bool_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bool_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bool_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bool_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_shapes_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_tensors_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_broadcast_to_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bucketize_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bucketize_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bucketize_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_bucketize_cuda_float64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cartesian_prod_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cartesian_prod_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cartesian_prod_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cartesian_prod_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cartesian_prod_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cartesian_prod_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cat_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cat_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cat_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cat_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cat_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cat_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cat_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cat_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cat_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cat_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cat_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cat_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cat_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cauchy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cauchy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cauchy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cauchy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdist_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdist_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdouble_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdouble_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdouble_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdouble_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdouble_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdouble_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdouble_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdouble_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdouble_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdouble_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdouble_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdouble_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cdouble_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ceil_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ceil_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ceil_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ceil_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ceil_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ceil_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ceil_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ceil_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ceil_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cfloat_cuda_int64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_cumulative_trapezoid_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_deg2rad_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_deg2rad_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_deg2rad_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_deg2rad_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_deg2rad_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_deg2rad_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_deg2rad_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_deg2rad_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_deg2rad_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_deg2rad_cuda_uint8, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flatten_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_flip_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fliplr_cuda_int64, 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_fmod_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmod_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmod_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_fmod_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frac_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frac_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frac_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frac_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frexp_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frexp_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frexp_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_frexp_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_full_like_cuda_int64, 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, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cholesky_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cholesky_ex_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cholesky_ex_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cholesky_ex_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cholesky_ex_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cond_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cond_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cond_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cond_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cross_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cross_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cross_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cross_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cross_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cross_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cross_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cross_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cross_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cross_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_cross_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_det_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_det_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_det_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_det_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_diagonal_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_diagonal_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_diagonal_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_diagonal_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_diagonal_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_diagonal_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_diagonal_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_diagonal_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_diagonal_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_diagonal_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_diagonal_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_diagonal_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_diagonal_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eig_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eig_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eig_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eig_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_linalg_eigh_cuda_complex128, 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, 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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, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nan_to_num_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nan_to_num_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nan_to_num_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nan_to_num_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nan_to_num_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nan_to_num_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nan_to_num_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nan_to_num_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nan_to_num_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nan_to_num_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmean_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmean_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmean_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmean_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmean_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmean_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmean_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmedian_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmedian_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmedian_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmedian_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmedian_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmedian_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmedian_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmedian_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanmedian_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanquantile_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nanquantile_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nansum_cuda_complex128, 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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, 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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, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ne_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_neg_cuda_int32, 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, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_alpha_dropout_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_alpha_dropout_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_alpha_dropout_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_alpha_dropout_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool1d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool1d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool1d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool1d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool2d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool2d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool3d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_avg_pool3d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_without_cudnn_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_without_cudnn_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_without_cudnn_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_batch_norm_without_cudnn_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_bilinear_cuda_bfloat16, 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, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool2d_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool2d_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool2d_grad_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool2d_grad_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool2d_grad_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool2d_grad_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool3d_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool3d_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nn_functional_max_unpool3d_cuda_float32, 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, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_cuda_uint8, 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, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_nonzero_static_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_fro_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_fro_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_fro_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_fro_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_fro_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_fro_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_inf_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_inf_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_inf_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_inf_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_inf_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_inf_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_nuc_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_nuc_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_nuc_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_norm_nuc_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_normal_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_normal_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_normal_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_normal_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_normal_in_place_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_normal_in_place_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_normal_in_place_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_normal_in_place_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_normal_in_place_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_normal_in_place_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_normal_number_mean_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_normal_number_mean_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_normal_number_mean_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_normal_number_mean_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_like_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_like_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_like_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_like_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_like_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_like_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_like_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_like_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_like_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_like_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_like_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_like_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ones_like_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ormqr_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ormqr_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ormqr_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_ormqr_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_outer_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_outer_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_outer_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_outer_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_outer_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_outer_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_outer_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_outer_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_outer_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_outer_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_outer_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_outer_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pca_lowrank_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pca_lowrank_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pca_lowrank_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pca_lowrank_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_copy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_copy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_copy_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_copy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_copy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_copy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_permute_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pinverse_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pinverse_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pinverse_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pinverse_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polar_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polar_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_0_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_0_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_0_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_0_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_0_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_0_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_0_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_0_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_0_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_0_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_1_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_1_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_1_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_1_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_1_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_1_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_1_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_1_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_1_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_1_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_2_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_2_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_2_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_2_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_2_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_2_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_2_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_2_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_2_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_2_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_3_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_3_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_3_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_3_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_3_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_3_cuda_int16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_polygamma_polygamma_n_4_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_positive_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pow_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pow_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pow_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pow_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pow_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pow_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_pow_cuda_float64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_put_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_put_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_put_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_put_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_put_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_put_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_qr_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_qr_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_qr_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_qr_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_quantile_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_quantile_cuda_float64, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_like_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randint_like_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_like_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_randn_like_cuda_complex128, 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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, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_renorm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_repeat_interleave_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_reshape_as_cuda_float32, 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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, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sigmoid_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sign_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sign_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sign_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sign_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sign_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sign_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sign_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sign_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sign_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sign_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_bartlett_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_signal_windows_bartlett_cuda_float64, 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, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sin_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinc_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sinh_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_scatter_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_scatter_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_scatter_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_scatter_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_scatter_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_scatter_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_scatter_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_scatter_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_scatter_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_slice_scatter_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_with_dtype_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_with_dtype_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_with_dtype_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_with_dtype_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_with_dtype_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_with_dtype_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_with_dtype_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_with_dtype_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_with_dtype_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_with_dtype_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_with_dtype_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_softmax_with_dtype_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sort_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sort_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sort_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sort_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sort_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sort_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sort_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sort_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sort_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sort_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sparse_mm_reduce_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sparse_mm_reduce_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sparse_mm_reduce_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sparse_mm_reduce_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sparse_sampled_addmm_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sparse_sampled_addmm_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sparse_sampled_addmm_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sparse_sampled_addmm_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_airy_ai_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_airy_ai_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_airy_ai_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_airy_ai_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_airy_ai_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_airy_ai_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_airy_ai_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_airy_ai_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j0_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j0_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j0_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j0_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j0_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j0_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j0_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j0_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j1_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j1_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j1_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j1_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j1_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j1_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j1_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_j1_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_y0_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_y0_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_y0_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_y0_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_y0_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_y0_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_y0_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_y0_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_y1_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_y1_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_y1_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_special_bessel_y1_cuda_int16, 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test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sum_to_size_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sum_to_size_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sum_to_size_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sum_to_size_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sum_to_size_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_sum_to_size_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_svd_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_svd_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_svd_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_svd_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_svd_lowrank_cuda_complex128, 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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, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_unsqueeze_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_mean_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_mean_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_mean_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_mean_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_mean_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_mean_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_mean_unbiased_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_mean_unbiased_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_mean_unbiased_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_mean_unbiased_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_mean_unbiased_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_mean_unbiased_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_unbiased_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_unbiased_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_unbiased_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_unbiased_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_unbiased_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_var_unbiased_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vdot_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vdot_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vdot_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vdot_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vdot_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vdot_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_complex_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_complex_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_complex_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_cuda_complex128, 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, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_as_real_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_copy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_view_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vsplit_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_vstack_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_where_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_xlogy_cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_float64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_int16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_int32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_int64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_int8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zero__cuda_uint8, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_bfloat16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_bool, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_complex128, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_complex32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_complex64, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_float16, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_float32, test/test_utils.py::TestDeviceUtilsCUDA::test_device_mode_ops_zeros_cuda_float64, 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
2025-08-26T21:26:16.9550028Z 
2025-08-26T21:26:16.9550183Z Running test_fx 1/1 ... [2025-08-26 21:26:16.675767]
2025-08-26T21:26:16.9550477Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:26:16.9551195Z 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 21:26:16.676170]
2025-08-26T21:29:29.9974618Z 
2025-08-26T21:29:29.9975340Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_0620449ecaa43f82_.log
2025-08-26T21:29:30.0299100Z 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, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_retinanet_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_retinanet_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_ssd300_vgg16, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_ssdlite320_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b0, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b1, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b2, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b3, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b4, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b5, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b6, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, 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, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_32gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_400mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_128gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_32gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_400mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet152, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet18, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet34, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext101_32x8d, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext101_64x4d, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext50_32x4d, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_fcn_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_fcn_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_lraspp_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x0_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x1_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x2_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_1, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg11, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg11_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg13, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg13_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg16_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg19, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg19_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mc3_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mvit_v1_b, 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
2025-08-26T21:29:30.0611626Z 
2025-08-26T21:29:30.0611829Z Running test_transformers_privateuse1 1/1 ... [2025-08-26 21:29:29.999233]
2025-08-26T21:29:31.3218159Z -- The CXX compiler identification is GNU 11.4.0
2025-08-26T21:29:31.3867098Z -- The C compiler identification is GNU 11.4.0
2025-08-26T21:29:31.4062755Z -- Detecting CXX compiler ABI info
2025-08-26T21:29:31.5634441Z -- Detecting CXX compiler ABI info - done
2025-08-26T21:29:31.5789421Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-08-26T21:29:31.5793752Z -- Detecting CXX compile features
2025-08-26T21:29:31.5799532Z -- Detecting CXX compile features - done
2025-08-26T21:29:31.5922870Z -- Detecting C compiler ABI info
2025-08-26T21:29:31.6891530Z -- Detecting C compiler ABI info - done
2025-08-26T21:29:31.7040893Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-08-26T21:29:31.7044643Z -- Detecting C compile features
2025-08-26T21:29:31.7048993Z -- Detecting C compile features - done
2025-08-26T21:29:31.7959640Z -- Found CUDA: /usr/local/cuda (found version "12.8")
2025-08-26T21:29:32.6111923Z -- The CUDA compiler identification is NVIDIA 12.8.93 with host compiler GNU 11.4.0
2025-08-26T21:29:32.6209366Z -- Detecting CUDA compiler ABI info
2025-08-26T21:29:33.3675876Z -- Detecting CUDA compiler ABI info - done
2025-08-26T21:29:33.4169717Z -- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc - skipped
2025-08-26T21:29:33.4738396Z -- Detecting CUDA compile features
2025-08-26T21:29:33.4742198Z -- Detecting CUDA compile features - done
2025-08-26T21:29:33.4833746Z -- Found CUDAToolkit: /usr/local/cuda/include (found version "12.8.93")
2025-08-26T21:29:33.4895988Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-08-26T21:29:33.5958303Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-08-26T21:29:33.5967397Z -- Found Threads: TRUE
2025-08-26T21:29:33.6458868Z -- PyTorch: CUDA detected: 12.8
2025-08-26T21:29:33.6459247Z -- PyTorch: CUDA nvcc is: /usr/local/cuda/bin/nvcc
2025-08-26T21:29:33.6459657Z -- PyTorch: CUDA toolkit directory: /usr/local/cuda
2025-08-26T21:29:33.7673860Z -- PyTorch: Header version is: 12.8
2025-08-26T21:29:33.8882521Z -- Found Python: /opt/conda/envs/py_3.10/bin/python3.10 (found version "3.10.18") found components: Interpreter
2025-08-26T21:29:33.8900082Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:140 (message):
2025-08-26T21:29:33.8900790Z   Failed to compute shorthash for libnvrtc.so
2025-08-26T21:29:33.8901136Z Call Stack (most recent call first):
2025-08-26T21:29:33.8901711Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:86 (include)
2025-08-26T21:29:33.8902528Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
2025-08-26T21:29:33.8903089Z   CMakeLists.txt:29 (find_package)
2025-08-26T21:29:33.8903273Z 
2025-08-26T21:29:33.8903391Z 
2025-08-26T21:29:33.8903652Z -- USE_CUDNN is set to 0. Compiling without cuDNN support
2025-08-26T21:29:33.8904009Z -- USE_CUSPARSELT is set to 0. Compiling without cuSPARSELt support
2025-08-26T21:29:33.8904352Z -- USE_CUDSS is set to 0. Compiling without cuDSS support
2025-08-26T21:29:33.8904654Z -- USE_CUFILE is set to 0. Compiling without cuFile support
2025-08-26T21:29:33.8905275Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:317 (message):
2025-08-26T21:29:33.8905854Z   pytorch is not compatible with `CMAKE_CUDA_ARCHITECTURES` and will ignore
2025-08-26T21:29:33.8906228Z   its value.  Please configure `TORCH_CUDA_ARCH_LIST` instead.
2025-08-26T21:29:33.8906524Z Call Stack (most recent call first):
2025-08-26T21:29:33.8906953Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:86 (include)
2025-08-26T21:29:33.8907581Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
2025-08-26T21:29:33.8908024Z   CMakeLists.txt:29 (find_package)
2025-08-26T21:29:33.8908171Z 
2025-08-26T21:29:33.8908255Z 
2025-08-26T21:29:33.8908738Z -- Added CUDA NVCC flags for: -gencode;arch=compute_89,code=sm_89
2025-08-26T21:29:33.9976014Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
2025-08-26T21:29:33.9976706Z   static library kineto_LIBRARY-NOTFOUND not found.
2025-08-26T21:29:33.9977238Z Call Stack (most recent call first):
2025-08-26T21:29:33.9977860Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found)
2025-08-26T21:29:33.9978480Z   CMakeLists.txt:29 (find_package)
2025-08-26T21:29:33.9978658Z 
2025-08-26T21:29:33.9978760Z 
2025-08-26T21:29:33.9994204Z -- Found Torch: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so
2025-08-26T21:29:34.0022255Z -- Configuring done (2.8s)
2025-08-26T21:29:34.0196700Z -- Generating done (0.0s)
2025-08-26T21:29:34.0212178Z -- Build files have been written to: /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/build
2025-08-26T21:29:34.1137415Z [  5%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o
2025-08-26T21:29:34.1138211Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o
2025-08-26T21:29:34.2053601Z [ 17%] Linking CXX shared library libopenreg.so
2025-08-26T21:29:34.2651770Z [ 17%] Built target openreg
2025-08-26T21:29:34.2757656Z [ 23%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o
2025-08-26T21:29:34.2762341Z [ 29%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o
2025-08-26T21:29:34.2767124Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o
2025-08-26T21:29:34.2768178Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o
2025-08-26T21:29:34.2769276Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o
2025-08-26T21:29:34.2774804Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o
2025-08-26T21:29:34.2776379Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o
2025-08-26T21:29:34.2781939Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o
2025-08-26T21:29:34.2784864Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o
2025-08-26T21:29:34.2788173Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o
2025-08-26T21:29:34.2792166Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o
2025-08-26T21:29:35.0230705Z [ 88%] Linking CXX shared library libtorch_openreg.so
2025-08-26T21:29:35.4185209Z [ 88%] Built target torch_openreg
2025-08-26T21:29:35.4283978Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o
2025-08-26T21:29:36.3539232Z [100%] Linking CXX shared library libtorch_bindings.so
2025-08-26T21:29:36.6183659Z [100%] Built target torch_bindings
2025-08-26T21:29:36.6261585Z Install the project...
2025-08-26T21:29:36.6290162Z -- Install configuration: ""
2025-08-26T21:29:36.7208487Z /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
2025-08-26T21:29:36.7209278Z !!
2025-08-26T21:29:36.7209373Z 
2025-08-26T21:29:36.7209473Z         ********************************************************************************
2025-08-26T21:29:36.7210164Z         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).
2025-08-26T21:29:36.7210756Z 
2025-08-26T21:29:36.7211227Z         By 2026-Feb-18, you need to update your project and remove deprecated calls
2025-08-26T21:29:36.7211617Z         or your builds will no longer be supported.
2025-08-26T21:29:36.7211819Z 
2025-08-26T21:29:36.7212121Z         See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
2025-08-26T21:29:36.7212699Z         ********************************************************************************
2025-08-26T21:29:36.7212895Z 
2025-08-26T21:29:36.7212969Z !!
2025-08-26T21:29:36.7213147Z   corresp(dist, value, root_dir)
2025-08-26T21:29:36.7466061Z running install
2025-08-26T21:29:36.7468617Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T21:29:36.7469323Z !!
2025-08-26T21:29:36.7469606Z 
2025-08-26T21:29:36.7469727Z         ********************************************************************************
2025-08-26T21:29:36.7470080Z         Please avoid running ``setup.py`` directly.
2025-08-26T21:29:36.7470446Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T21:29:36.7470767Z         standards-based tools.
2025-08-26T21:29:36.7470930Z 
2025-08-26T21:29:36.7471151Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-26T21:29:36.7471603Z         or your builds will no longer be supported.
2025-08-26T21:29:36.7471812Z 
2025-08-26T21:29:36.7472079Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T21:29:36.7472547Z         ********************************************************************************
2025-08-26T21:29:36.7472762Z 
2025-08-26T21:29:36.7472833Z !!
2025-08-26T21:29:36.7473039Z   self.initialize_options()
2025-08-26T21:29:36.7572156Z running build
2025-08-26T21:29:36.7572486Z running build_py
2025-08-26T21:29:36.7638132Z creating build/lib.linux-x86_64-cpython-310/torch_openreg
2025-08-26T21:29:36.7640545Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_openreg
2025-08-26T21:29:36.7642681Z copying torch_openreg/_utils.py -> build/lib.linux-x86_64-cpython-310/torch_openreg
2025-08-26T21:29:36.7645328Z creating build/lib.linux-x86_64-cpython-310/torch_openreg/openreg
2025-08-26T21:29:36.7646813Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg
2025-08-26T21:29:36.7649234Z copying torch_openreg/openreg/meta.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg
2025-08-26T21:29:36.7651280Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg
2025-08-26T21:29:36.7660808Z creating build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-26T21:29:36.7662347Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-26T21:29:36.7679432Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-26T21:29:36.7816753Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-26T21:29:36.7877417Z running build_ext
2025-08-26T21:29:36.7952726Z building 'torch_openreg._C' extension
2025-08-26T21:29:36.7953976Z creating build/temp.linux-x86_64-cpython-310/torch_openreg/csrc
2025-08-26T21:29:36.7958235Z 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
2025-08-26T21:29:36.8817430Z 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/workspace/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
2025-08-26T21:29:36.9068968Z running install_lib
2025-08-26T21:29:36.9147133Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages
2025-08-26T21:29:36.9151457Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg
2025-08-26T21:29:36.9152883Z 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
2025-08-26T21:29:36.9154798Z 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
2025-08-26T21:29:36.9157267Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/openreg
2025-08-26T21:29:36.9158627Z 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
2025-08-26T21:29:36.9160502Z 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
2025-08-26T21:29:36.9162111Z 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
2025-08-26T21:29:36.9164265Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/lib
2025-08-26T21:29:36.9165771Z 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
2025-08-26T21:29:36.9168205Z 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
2025-08-26T21:29:36.9192027Z 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
2025-08-26T21:29:36.9201643Z 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
2025-08-26T21:29:36.9207234Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/__init__.py to __init__.cpython-310.pyc
2025-08-26T21:29:36.9210862Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/_utils.py to _utils.cpython-310.pyc
2025-08-26T21:29:36.9215911Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/openreg/__init__.py to __init__.cpython-310.pyc
2025-08-26T21:29:36.9220850Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/openreg/meta.py to meta.cpython-310.pyc
2025-08-26T21:29:36.9223676Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_openreg/openreg/random.py to random.cpython-310.pyc
2025-08-26T21:29:36.9228102Z running install_egg_info
2025-08-26T21:29:36.9361570Z running egg_info
2025-08-26T21:29:36.9424118Z creating torch_openreg.egg-info
2025-08-26T21:29:36.9425714Z writing torch_openreg.egg-info/PKG-INFO
2025-08-26T21:29:36.9430098Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt
2025-08-26T21:29:36.9432715Z writing requirements to torch_openreg.egg-info/requires.txt
2025-08-26T21:29:36.9434080Z writing top-level names to torch_openreg.egg-info/top_level.txt
2025-08-26T21:29:36.9435588Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-26T21:29:36.9509921Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-26T21:29:36.9518326Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-26T21:29:36.9519537Z 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
2025-08-26T21:29:36.9528102Z running install_scripts
2025-08-26T21:29:37.2082574Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:29:37.2086376Z 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 21:29:37.208377]
2025-08-26T21:29:40.7789972Z 
2025-08-26T21:29:40.7790956Z test_transformers_privateuse1 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_privateuse1_1.1_299a4cd6817bb5f4_.log
2025-08-26T21:29:40.7793607Z 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
2025-08-26T21:29:40.7795032Z 
2025-08-26T21:29:40.7795221Z Running test_cpp_api_parity 1/1 ... [2025-08-26 21:29:40.779125]
2025-08-26T21:29:40.7795595Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:29:40.7797128Z 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 21:29:40.779490]
2025-08-26T21:29:56.6707692Z 
2025-08-26T21:29:56.6708756Z 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_048bf5c199535210_.log
2025-08-26T21:29:56.6835346Z 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, 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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, 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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
2025-08-26T21:29:56.6958955Z 
2025-08-26T21:29:56.6959105Z Running test_extension_utils 1/1 ... [2025-08-26 21:29:56.671550]
2025-08-26T21:29:56.6959414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:29:56.6960293Z 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 21:29:56.671898]
2025-08-26T21:30:00.1925909Z 
2025-08-26T21:30:00.1927137Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_37998ffd1e1d6d3e_.log
2025-08-26T21:30:00.1929028Z 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
2025-08-26T21:30:00.1930388Z 
2025-08-26T21:30:00.1930576Z Running test_openreg 1/1 ... [2025-08-26 21:30:00.192712]
2025-08-26T21:30:01.5155473Z -- The CXX compiler identification is GNU 11.4.0
2025-08-26T21:30:01.5780424Z -- The C compiler identification is GNU 11.4.0
2025-08-26T21:30:01.5963587Z -- Detecting CXX compiler ABI info
2025-08-26T21:30:01.7713706Z -- Detecting CXX compiler ABI info - done
2025-08-26T21:30:01.7870606Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-08-26T21:30:01.7874636Z -- Detecting CXX compile features
2025-08-26T21:30:01.7880181Z -- Detecting CXX compile features - done
2025-08-26T21:30:01.7998504Z -- Detecting C compiler ABI info
2025-08-26T21:30:01.8993461Z -- Detecting C compiler ABI info - done
2025-08-26T21:30:01.9150468Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-08-26T21:30:01.9153428Z -- Detecting C compile features
2025-08-26T21:30:01.9157763Z -- Detecting C compile features - done
2025-08-26T21:30:01.9937194Z -- Found CUDA: /usr/local/cuda (found version "12.8")
2025-08-26T21:30:02.8327489Z -- The CUDA compiler identification is NVIDIA 12.8.93 with host compiler GNU 11.4.0
2025-08-26T21:30:02.8419572Z -- Detecting CUDA compiler ABI info
2025-08-26T21:30:03.5892324Z -- Detecting CUDA compiler ABI info - done
2025-08-26T21:30:03.6393885Z -- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc - skipped
2025-08-26T21:30:03.6973422Z -- Detecting CUDA compile features
2025-08-26T21:30:03.6976415Z -- Detecting CUDA compile features - done
2025-08-26T21:30:03.7067376Z -- Found CUDAToolkit: /usr/local/cuda/include (found version "12.8.93")
2025-08-26T21:30:03.7124180Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-08-26T21:30:03.8187123Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-08-26T21:30:03.8196152Z -- Found Threads: TRUE
2025-08-26T21:30:03.8681577Z -- PyTorch: CUDA detected: 12.8
2025-08-26T21:30:03.8682108Z -- PyTorch: CUDA nvcc is: /usr/local/cuda/bin/nvcc
2025-08-26T21:30:03.8682642Z -- PyTorch: CUDA toolkit directory: /usr/local/cuda
2025-08-26T21:30:03.9924269Z -- PyTorch: Header version is: 12.8
2025-08-26T21:30:04.1112415Z -- Found Python: /opt/conda/envs/py_3.10/bin/python3.10 (found version "3.10.18") found components: Interpreter
2025-08-26T21:30:04.1127525Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:140 (message):
2025-08-26T21:30:04.1128214Z   Failed to compute shorthash for libnvrtc.so
2025-08-26T21:30:04.1128525Z Call Stack (most recent call first):
2025-08-26T21:30:04.1129309Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:86 (include)
2025-08-26T21:30:04.1130367Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
2025-08-26T21:30:04.1130915Z   CMakeLists.txt:29 (find_package)
2025-08-26T21:30:04.1131095Z 
2025-08-26T21:30:04.1131238Z 
2025-08-26T21:30:04.1131501Z -- USE_CUDNN is set to 0. Compiling without cuDNN support
2025-08-26T21:30:04.1131922Z -- USE_CUSPARSELT is set to 0. Compiling without cuSPARSELt support
2025-08-26T21:30:04.1132334Z -- USE_CUDSS is set to 0. Compiling without cuDSS support
2025-08-26T21:30:04.1132712Z -- USE_CUFILE is set to 0. Compiling without cuFile support
2025-08-26T21:30:04.1133782Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:317 (message):
2025-08-26T21:30:04.1134550Z   pytorch is not compatible with `CMAKE_CUDA_ARCHITECTURES` and will ignore
2025-08-26T21:30:04.1134984Z   its value.  Please configure `TORCH_CUDA_ARCH_LIST` instead.
2025-08-26T21:30:04.1135351Z Call Stack (most recent call first):
2025-08-26T21:30:04.1135787Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:86 (include)
2025-08-26T21:30:04.1136416Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
2025-08-26T21:30:04.1136854Z   CMakeLists.txt:29 (find_package)
2025-08-26T21:30:04.1137005Z 
2025-08-26T21:30:04.1137096Z 
2025-08-26T21:30:04.1137315Z -- Added CUDA NVCC flags for: -gencode;arch=compute_89,code=sm_89
2025-08-26T21:30:04.2202845Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
2025-08-26T21:30:04.2203561Z   static library kineto_LIBRARY-NOTFOUND not found.
2025-08-26T21:30:04.2203893Z Call Stack (most recent call first):
2025-08-26T21:30:04.2204511Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found)
2025-08-26T21:30:04.2205150Z   CMakeLists.txt:29 (find_package)
2025-08-26T21:30:04.2205336Z 
2025-08-26T21:30:04.2205447Z 
2025-08-26T21:30:04.2220866Z -- Found Torch: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so
2025-08-26T21:30:04.2248757Z -- Configuring done (2.8s)
2025-08-26T21:30:04.2394248Z -- Generating done (0.0s)
2025-08-26T21:30:04.2414214Z -- Build files have been written to: /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/build
2025-08-26T21:30:04.3335447Z [  5%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o
2025-08-26T21:30:04.3336225Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o
2025-08-26T21:30:04.4273558Z [ 17%] Linking CXX shared library libopenreg.so
2025-08-26T21:30:04.4865635Z [ 17%] Built target openreg
2025-08-26T21:30:04.4970127Z [ 23%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o
2025-08-26T21:30:04.4971337Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o
2025-08-26T21:30:04.4972393Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o
2025-08-26T21:30:04.4976723Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o
2025-08-26T21:30:04.4979000Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o
2025-08-26T21:30:04.4982590Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o
2025-08-26T21:30:04.4984413Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o
2025-08-26T21:30:04.4988240Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o
2025-08-26T21:30:04.4992756Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o
2025-08-26T21:30:04.4996155Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o
2025-08-26T21:30:04.5000202Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o
2025-08-26T21:30:05.2800600Z [ 88%] Linking CXX shared library libtorch_openreg.so
2025-08-26T21:30:05.6699533Z [ 88%] Built target torch_openreg
2025-08-26T21:30:05.6801634Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o
2025-08-26T21:30:06.6096367Z [100%] Linking CXX shared library libtorch_bindings.so
2025-08-26T21:30:06.8697078Z [100%] Built target torch_bindings
2025-08-26T21:30:06.8772823Z Install the project...
2025-08-26T21:30:06.8802395Z -- Install configuration: ""
2025-08-26T21:30:06.9647339Z /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
2025-08-26T21:30:06.9648480Z !!
2025-08-26T21:30:06.9648597Z 
2025-08-26T21:30:06.9648717Z         ********************************************************************************
2025-08-26T21:30:06.9649475Z         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).
2025-08-26T21:30:06.9650085Z 
2025-08-26T21:30:06.9650305Z         By 2026-Feb-18, you need to update your project and remove deprecated calls
2025-08-26T21:30:06.9650856Z         or your builds will no longer be supported.
2025-08-26T21:30:06.9651065Z 
2025-08-26T21:30:06.9651415Z         See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
2025-08-26T21:30:06.9651929Z         ********************************************************************************
2025-08-26T21:30:06.9652144Z 
2025-08-26T21:30:06.9652218Z !!
2025-08-26T21:30:06.9652415Z   corresp(dist, value, root_dir)
2025-08-26T21:30:06.9910983Z running install
2025-08-26T21:30:06.9913041Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T21:30:06.9913756Z !!
2025-08-26T21:30:06.9913859Z 
2025-08-26T21:30:06.9913980Z         ********************************************************************************
2025-08-26T21:30:06.9914337Z         Please avoid running ``setup.py`` directly.
2025-08-26T21:30:06.9914699Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T21:30:06.9915022Z         standards-based tools.
2025-08-26T21:30:06.9915188Z 
2025-08-26T21:30:06.9915387Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-26T21:30:06.9915923Z         or your builds will no longer be supported.
2025-08-26T21:30:06.9916090Z 
2025-08-26T21:30:06.9916305Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T21:30:06.9916660Z         ********************************************************************************
2025-08-26T21:30:06.9916831Z 
2025-08-26T21:30:06.9916889Z !!
2025-08-26T21:30:06.9917049Z   self.initialize_options()
2025-08-26T21:30:07.0017722Z running build
2025-08-26T21:30:07.0017933Z running build_py
2025-08-26T21:30:07.0086670Z creating build/lib.linux-x86_64-cpython-310/torch_openreg
2025-08-26T21:30:07.0088867Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_openreg
2025-08-26T21:30:07.0091008Z copying torch_openreg/_utils.py -> build/lib.linux-x86_64-cpython-310/torch_openreg
2025-08-26T21:30:07.0093767Z creating build/lib.linux-x86_64-cpython-310/torch_openreg/openreg
2025-08-26T21:30:07.0095236Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg
2025-08-26T21:30:07.0097072Z copying torch_openreg/openreg/meta.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg
2025-08-26T21:30:07.0099088Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-310/torch_openreg/openreg
2025-08-26T21:30:07.0108804Z creating build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-26T21:30:07.0110132Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-26T21:30:07.0127256Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-26T21:30:07.0259529Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-310/torch_openreg/lib
2025-08-26T21:30:07.0313477Z running build_ext
2025-08-26T21:30:07.0390967Z building 'torch_openreg._C' extension
2025-08-26T21:30:07.0392458Z creating build/temp.linux-x86_64-cpython-310/torch_openreg/csrc
2025-08-26T21:30:07.0396948Z 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
2025-08-26T21:30:07.1563080Z 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/workspace/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
2025-08-26T21:30:07.1816499Z running install_lib
2025-08-26T21:30:07.1900334Z 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
2025-08-26T21:30:07.1902897Z 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
2025-08-26T21:30:07.1929654Z 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
2025-08-26T21:30:07.1939868Z 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
2025-08-26T21:30:07.1946512Z running install_egg_info
2025-08-26T21:30:07.2081802Z running egg_info
2025-08-26T21:30:07.2147175Z writing torch_openreg.egg-info/PKG-INFO
2025-08-26T21:30:07.2151659Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt
2025-08-26T21:30:07.2158420Z writing requirements to torch_openreg.egg-info/requires.txt
2025-08-26T21:30:07.2170138Z writing top-level names to torch_openreg.egg-info/top_level.txt
2025-08-26T21:30:07.2255851Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-26T21:30:07.2266012Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-26T21:30:07.2278517Z 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)
2025-08-26T21:30:07.2280644Z 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
2025-08-26T21:30:07.2289482Z running install_scripts
2025-08-26T21:30:07.4868866Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:30:07.4872494Z 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 21:30:07.486992]
2025-08-26T21:30:12.1599576Z 
2025-08-26T21:30:12.1600332Z test_openreg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openreg_1.1_ade9831a4a377601_.log
2025-08-26T21:30:12.1609744Z 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
2025-08-26T21:30:12.1617236Z 
2025-08-26T21:30:12.1617383Z Running test_show_pickle 1/1 ... [2025-08-26 21:30:12.160149]
2025-08-26T21:30:12.1617682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:30:12.1618380Z 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 21:30:12.160514]
2025-08-26T21:30:15.6813315Z 
2025-08-26T21:30:15.6814102Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_a1899b5efba5ca58_.log
2025-08-26T21:30:15.6815012Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model
2025-08-26T21:30:15.6815402Z 
2025-08-26T21:30:15.6816893Z Running test_torch 1/1 ... [2025-08-26 21:30:15.681473]
2025-08-26T21:30:15.6817240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:30:15.6820880Z 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 21:30:15.681860]
2025-08-26T21:31:50.7353913Z 
2025-08-26T21:31:50.7357203Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_71f936a3e4e01e43_.log
2025-08-26T21:31:50.7567811Z 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, test/test_torch.py::TestTorch::test_index_add_cornercase, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_neg_dim, test/test_torch.py::TestTorch::test_index_copy_neg_dim, test/test_torch.py::TestTorch::test_index_fill_neg_dim, test/test_torch.py::TestTorch::test_index_select_neg_dim, test/test_torch.py::TestTorch::test_invalid_arg_error_handling, test/test_torch.py::TestTorch::test_invalid_generator_raises, test/test_torch.py::TestTorch::test_is_nonzero, test/test_torch.py::TestTorch::test_is_same_size, test/test_torch.py::TestTorch::test_iter, test/test_torch.py::TestTorch::test_kthvalue_neg_dim, test/test_torch.py::TestTorch::test_linspace_logspace, test/test_torch.py::TestTorch::test_logcumsumexp_neg_dim, test/test_torch.py::TestTorch::test_manual_seed, test/test_torch.py::TestTorch::test_map, test/test_torch.py::TestTorch::test_map2, test/test_torch.py::TestTorch::test_max_neg_dim, test/test_torch.py::TestTorch::test_mean_neg_dim, test/test_torch.py::TestTorch::test_median_neg_dim, test/test_torch.py::TestTorch::test_memory_format, test/test_torch.py::TestTorch::test_memory_format_contiguous_returns_same_tensor_if_already_satisfies, test/test_torch.py::TestTorch::test_memory_format_empty, test/test_torch.py::TestTorch::test_min_neg_dim, test/test_torch.py::TestTorch::test_mode_neg_dim, test/test_torch.py::TestTorch::test_multinomial_invalid_probs, test/test_torch.py::TestTorch::test_nanmedian_neg_dim, test/test_torch.py::TestTorch::test_narrow_neg_dim, test/test_torch.py::TestTorch::test_nbytes, test/test_torch.py::TestTorch::test_ndim, test/test_torch.py::TestTorch::test_new, test/test_torch.py::TestTorch::test_newaxis_numpy_comparison, test/test_torch.py::TestTorch::test_newindex, test/test_torch.py::TestTorch::test_no_cuda_monkeypatch, test/test_torch.py::TestTorch::test_norm_neg_dim, test/test_torch.py::TestTorch::test_normal_shape, test/test_torch.py::TestTorch::test_numel, test/test_torch.py::TestTorch::test_parallel_info, test/test_torch.py::TestTorch::test_parsing_double, test/test_torch.py::TestTorch::test_parsing_int64, test/test_torch.py::TestTorch::test_parsing_intlist, test/test_torch.py::TestTorch::test_permute, test/test_torch.py::TestTorch::test_pickle, test/test_torch.py::TestTorch::test_pickle_dtype, test/test_torch.py::TestTorch::test_pickle_function, test/test_torch.py::TestTorch::test_pickle_generator, test/test_torch.py::TestTorch::test_pickle_parameter, test/test_torch.py::TestTorch::test_pickle_parameter_no_requires_grad, test/test_torch.py::TestTorch::test_pickle_size, test/test_torch.py::TestTorch::test_pin_memory, test/test_torch.py::TestTorch::test_print, test/test_torch.py::TestTorch::test_prod_neg_dim, test/test_torch.py::TestTorch::test_pyobj_preserved, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_renorm_neg_dim, test/test_torch.py::TestTorch::test_resizable, test/test_torch.py::TestTorch::test_reversed, test/test_torch.py::TestTorch::test_scatter_neg_dim, test/test_torch.py::TestTorch::test_select_neg_dim, test/test_torch.py::TestTorch::test_set_flush_denormal, test/test_torch.py::TestTorch::test_setting_real_imag_to_a_number, test/test_torch.py::TestTorch::test_show_config, test/test_torch.py::TestTorch::test_size_neg_dim, test/test_torch.py::TestTorch::test_size_stride, test/test_torch.py::TestTorch::test_sizeof, test/test_torch.py::TestTorch::test_slice, test/test_torch.py::TestTorch::test_slow_test, test/test_torch.py::TestTorch::test_sobolengine_bounds, test/test_torch.py::TestTorch::test_sobolengine_bounds_scrambled, test/test_torch.py::TestTorch::test_sobolengine_continuing, test/test_torch.py::TestTorch::test_sobolengine_continuing_scrambled, test/test_torch.py::TestTorch::test_sobolengine_default_dtype, test/test_torch.py::TestTorch::test_sobolengine_distribution, test/test_torch.py::TestTorch::test_sobolengine_distribution_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw, test/test_torch.py::TestTorch::test_sobolengine_draw_base2, test/test_torch.py::TestTorch::test_sobolengine_draw_base2_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw_scrambled, test/test_torch.py::TestTorch::test_sobolengine_fast_forward, test/test_torch.py::TestTorch::test_sobolengine_fast_forward_scrambled, test/test_torch.py::TestTorch::test_sobolengine_first_point, test/test_torch.py::TestTorch::test_sobolengine_high_dim, test/test_torch.py::TestTorch::test_sobolengine_raise, test/test_torch.py::TestTorch::test_sobolengine_reset, test/test_torch.py::TestTorch::test_sobolengine_reset_scrambled, test/test_torch.py::TestTorch::test_sort_neg_dim, test/test_torch.py::TestTorch::test_split_neg_dim, test/test_torch.py::TestTorch::test_split_with_sizes_copy_out, test/test_torch.py::TestTorch::test_squeeze_neg_dim, test/test_torch.py::TestTorch::test_std_neg_dim, test/test_torch.py::TestTorch::test_storage_base_init, test/test_torch.py::TestTorch::test_storage_base_new, test/test_torch.py::TestTorch::test_storage_byteswap, test/test_torch.py::TestTorch::test_storage_casts, test/test_torch.py::TestTorch::test_storage_cycle_via_dict, test/test_torch.py::TestTorch::test_storage_cycle_via_slots, 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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
2025-08-26T21:31:50.7823859Z 
2025-08-26T21:31:50.7824266Z Running test_tensorexpr 1/1 ... [2025-08-26 21:31:50.736754]
2025-08-26T21:31:50.7896991Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:31:50.7898320Z 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 21:31:50.737105]
2025-08-26T21:32:20.2479008Z 
2025-08-26T21:32:20.2479792Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_255dd7a7bf1587e0_.log
2025-08-26T21:32:20.2494098Z 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
2025-08-26T21:32:20.2507189Z 
2025-08-26T21:32:20.2507330Z Running test_overrides 1/1 ... [2025-08-26 21:32:20.248019]
2025-08-26T21:32:20.2507612Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:32:20.2508314Z 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 21:32:20.248347]
2025-08-26T21:32:26.9739164Z 
2025-08-26T21:32:26.9740121Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_ad94138fdcfab186_.log
2025-08-26T21:32:27.0129267Z 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__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__version___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_data___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_device___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_dtype___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_imag___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cuda___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_ipu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_leaf___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_maia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_meta___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mkldnn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mps___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mtia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_nested___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_quantized___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse_csr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_vulkan___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xla___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_itemsize___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_layout___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mH___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mT___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_name___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_names___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_nbytes___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_ndim___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_output_nr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_real___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_requires_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_retains_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_shape___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_volatile___get__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___add__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_requires_grad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_sparse_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_retain_grad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_roll, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_row_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split_with_sizes, 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, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__native_batch_norm_legit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__neg_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__reshape_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__rowwise_prune, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sparse_broadcast_to_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unravel_index, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fused_moving_avg_obs_fake_quant, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gather, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ge, test/test_overrides.py::TestTorchFunctionOverride::test_torch_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ger, test/test_overrides.py::TestTorchFunctionOverride::test_torch_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gradient, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hash_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogramdd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_imag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inner, test/test_overrides.py::TestTorchFunctionOverride::test_torch_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_istft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kron, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_torch_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_le, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log10, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_unpack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_median, test/test_overrides.py::TestTorchFunctionOverride::test_torch_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_add_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_depthwise_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_rnn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mode, test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_normalize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_pad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu6, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_silu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_smooth_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softsign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_tanhshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_with_distance_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_constant_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_kaiming_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_torch_norm_except_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nuclear_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_numel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ones_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_outer, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rand_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randint_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randn_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_smm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_square, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_topk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trace, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapz, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tril, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unflatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unfold_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_where, test/test_overrides.py::TestTorchFunctionOverride::test_torch_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_zeros_like, test/test_overrides.py::TestTorchFunctionOverride::test_user_implementation_raises, test/test_overrides.py::TestEinsumOverride::test_wrapper, test/test_overrides.py::TestGradCheckOverride::test_gradcheck, test/test_overrides.py::TestNamedTuple::test_max, test/test_overrides.py::TestGradNewOnesOverride::test_newones, test/test_overrides.py::TestPickle::test_pickle, test/test_overrides.py::TestBroadcastAllOverride::test_broadcast_all, test/test_overrides.py::TestWrapTorchFunction::test_wrap_torch_function, test/test_overrides.py::TestIndexing::test_getitem, test/test_overrides.py::TestIndexing::test_getitem_subclass, test/test_overrides.py::TestIndexing::test_setitem, test/test_overrides.py::TestIndexing::test_setitem_subclass, test/test_overrides.py::TestIndexing::test_setitem_val, test/test_overrides.py::TestIterator::test_iterator, test/test_overrides.py::TestRNN::test_rnn, test/test_overrides.py::TestDisabledTorchFunction::test_parameter_does_not_prevent_dispatch, test/test_overrides.py::TestResolveName::test_resolve_name, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_tensor_subclass, test/test_overrides.py::TestDisabledUserWarnings::test_no_implicit_user_warning_for_deprecated_functions, test/test_overrides.py::TestTorchFunctionMode::test_all_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_basic, test/test_overrides.py::TestTorchFunctionMode::test_custom_device_type, test/test_overrides.py::TestTorchFunctionMode::test_device_context_semantics, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_mode, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_not_mode, test/test_overrides.py::TestTorchFunctionMode::test_distributions_bernoulli, test/test_overrides.py::TestTorchFunctionMode::test_error_using_class_method_on_mode, test/test_overrides.py::TestTorchFunctionMode::test_factory_override, test/test_overrides.py::TestTorchFunctionMode::test_get_cur_mode, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented, test/test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function, test/test_overrides.py::TestTorchFunctionMode::test_nested_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_nn_parse_to, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor, test/test_overrides.py::TestTorchFunctionMode::test_subclass_hash, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_with_mode, test/test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately, test/test_overrides.py::TestTorchFunctionMode::test_with_nested_modes
2025-08-26T21:32:27.0441211Z 
2025-08-26T21:32:27.0441407Z Running test_namedtuple_return_api 1/1 ... [2025-08-26 21:32:26.975826]
2025-08-26T21:32:27.0441740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:32:27.0442730Z 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 21:32:26.976169]
2025-08-26T21:32:31.7489312Z 
2025-08-26T21:32:31.7490446Z 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_a17387597816e325_.log
2025-08-26T21:32:31.7493026Z 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
2025-08-26T21:32:31.7494123Z 
2025-08-26T21:32:31.7494320Z Running test_multiprocessing 1/1 ... [2025-08-26 21:32:31.749104]
2025-08-26T21:32:31.7494706Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:32:31.7497369Z 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 21:32:31.749459]
2025-08-26T21:34:35.9364286Z 
2025-08-26T21:34:35.9367141Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_31b22313f8de0cab_.log
2025-08-26T21:34:35.9378452Z 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
2025-08-26T21:34:35.9387655Z 
2025-08-26T21:34:35.9387818Z Running test_autograd_fallback 1/1 ... [2025-08-26 21:34:35.936679]
2025-08-26T21:34:35.9388125Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:34:35.9388846Z 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 21:34:35.937051]
2025-08-26T21:34:39.6582553Z 
2025-08-26T21:34:39.6583989Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_44448eddd350d10c_.log
2025-08-26T21:34:39.6593504Z 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
2025-08-26T21:34:39.6601548Z 
2025-08-26T21:34:39.6601700Z Running test_reductions 1/1 ... [2025-08-26 21:34:39.658459]
2025-08-26T21:34:39.6602302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:34:39.6603036Z 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 21:34:39.658842]
2025-08-26T21:37:07.0573542Z 
2025-08-26T21:37:07.0576316Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_5a0c11b121a1f98d_.log
2025-08-26T21:37:07.2171102Z 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, test/test_reductions.py::TestReductionsCUDA::test_amin_cuda_bool, test/test_reductions.py::TestReductionsCUDA::test_amin_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_amin_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_amin_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_amin_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_aminmax_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_aminmax_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_aminmax_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_argminmax_axis_with_dim_one_cuda, test/test_reductions.py::TestReductionsCUDA::test_argminmax_large_axis_cuda, test/test_reductions.py::TestReductionsCUDA::test_argminmax_multiple_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_argminmax_multiple_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_argminmax_multiple_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_argminmax_multiple_cuda_int16, test/test_reductions.py::TestReductionsCUDA::test_argminmax_multiple_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_argminmax_multiple_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_argminmax_multiple_cuda_int8, test/test_reductions.py::TestReductionsCUDA::test_argminmax_multiple_cuda_uint8, test/test_reductions.py::TestReductionsCUDA::test_bincount_cuda, test/test_reductions.py::TestReductionsCUDA::test_bucketization_cuda, test/test_reductions.py::TestReductionsCUDA::test_count_nonzero_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_count_nonzero_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_count_nonzero_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_count_nonzero_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_count_nonzero_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_count_nonzero_cuda_int16, test/test_reductions.py::TestReductionsCUDA::test_count_nonzero_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_count_nonzero_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_count_nonzero_cuda_int8, test/test_reductions.py::TestReductionsCUDA::test_count_nonzero_cuda_uint8, test/test_reductions.py::TestReductionsCUDA::test_cumprod_integer_upcast_cuda, test/test_reductions.py::TestReductionsCUDA::test_cumsum_integer_upcast_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_arg_reduction_scalar_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_dim_arg_reduction_scalar_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_dim_arg_reduction_scalar_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_dim_arg_reduction_scalar_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_dim_arg_reduction_scalar_cuda_int16, test/test_reductions.py::TestReductionsCUDA::test_dim_arg_reduction_scalar_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_dim_arg_reduction_scalar_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_dim_arg_reduction_scalar_cuda_int8, test/test_reductions.py::TestReductionsCUDA::test_dim_arg_reduction_scalar_cuda_uint8, test/test_reductions.py::TestReductionsCUDA::test_dim_default__refs_all_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default__refs_amax_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default__refs_amin_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default__refs_any_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default__refs_count_nonzero_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default__refs_linalg_vector_norm_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default__refs_mean_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default__refs_prod_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default__refs_std_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default__refs_sum_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default__refs_var_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_all_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_amax_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_amin_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_any_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_argmax_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_argmin_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_count_nonzero_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_hash_tensor_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim__refs_all_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim__refs_amax_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim__refs_amin_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim__refs_any_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim__refs_count_nonzero_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim__refs_linalg_vector_norm_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim__refs_mean_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim__refs_prod_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim__refs_std_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim__refs_sum_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim__refs_var_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_all_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_amax_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_amin_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_any_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_argmax_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_argmin_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_count_nonzero_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_hash_tensor_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_linalg_vector_norm_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_masked_amax_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_masked_amin_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_masked_argmax_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_masked_argmin_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_masked_logsumexp_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_masked_mean_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_masked_norm_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_masked_prod_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_masked_std_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_masked_sum_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_masked_var_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_mean_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_nanmean_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_nansum_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_prod_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_std_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_std_unbiased_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_sum_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_var_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_keepdim_var_unbiased_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_linalg_vector_norm_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_masked_amax_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_masked_amin_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_masked_argmax_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_masked_argmin_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_masked_logsumexp_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_masked_mean_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_masked_norm_cuda, test/test_reductions.py::TestReductionsCUDA::test_dim_default_masked_prod_cuda, 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test/test_reductions.py::TestReductionsCUDA::test_result_dtype_var_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_var_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_var_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_var_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_var_unbiased_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_var_unbiased_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_var_unbiased_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_var_unbiased_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_var_unbiased_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_result_dtype_var_unbiased_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_std_correction_vs_numpy_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_std_correction_vs_numpy_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_std_correction_vs_numpy_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_std_correction_vs_numpy_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_std_dim_cuda, test/test_reductions.py::TestReductionsCUDA::test_std_mean_all_dims_cuda, test/test_reductions.py::TestReductionsCUDA::test_std_mean_correction_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_std_mean_correction_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_std_mean_correction_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_std_mean_correction_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_std_mean_cuda, test/test_reductions.py::TestReductionsCUDA::test_std_mean_some_dims_cuda, test/test_reductions.py::TestReductionsCUDA::test_std_vs_numpy_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_std_vs_numpy_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_std_vs_numpy_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_std_vs_numpy_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_sum_all_cuda_bool, test/test_reductions.py::TestReductionsCUDA::test_sum_all_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_sum_cpu_device_mismatch_cuda, test/test_reductions.py::TestReductionsCUDA::test_sum_dim_cuda, test/test_reductions.py::TestReductionsCUDA::test_sum_dim_reduction_uint8_overflow_cuda, test/test_reductions.py::TestReductionsCUDA::test_sum_integer_upcast_cuda, test/test_reductions.py::TestReductionsCUDA::test_sum_noncontig_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_sum_noncontig_lowp_cuda_bfloat16, test/test_reductions.py::TestReductionsCUDA::test_sum_noncontig_lowp_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_sum_out_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_sum_parallel_cuda, test/test_reductions.py::TestReductionsCUDA::test_sum_vs_numpy_cuda_float16, test/test_reductions.py::TestReductionsCUDA::test_sum_vs_numpy_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_sum_vs_numpy_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_sum_vs_numpy_cuda_int16, test/test_reductions.py::TestReductionsCUDA::test_sum_vs_numpy_cuda_int32, test/test_reductions.py::TestReductionsCUDA::test_sum_vs_numpy_cuda_int64, test/test_reductions.py::TestReductionsCUDA::test_sum_vs_numpy_cuda_int8, test/test_reductions.py::TestReductionsCUDA::test_tensor_compare_ops_argmax_argmix_kthvalue_dim_empty_cuda, test/test_reductions.py::TestReductionsCUDA::test_tensor_compare_ops_empty_cuda, test/test_reductions.py::TestReductionsCUDA::test_tensor_reduce_ops_empty_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_correction_vs_numpy_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_var_correction_vs_numpy_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_var_correction_vs_numpy_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_var_correction_vs_numpy_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_var_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_dim_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_large_input_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_mean_all_dims_cuda, test/test_reductions.py::TestReductionsCUDA::test_var_mean_correction_cuda_complex128, test/test_reductions.py::TestReductionsCUDA::test_var_mean_correction_cuda_complex64, test/test_reductions.py::TestReductionsCUDA::test_var_mean_correction_cuda_float32, test/test_reductions.py::TestReductionsCUDA::test_var_mean_correction_cuda_float64, test/test_reductions.py::TestReductionsCUDA::test_var_mean_cuda, 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
2025-08-26T21:37:07.3430124Z 
2025-08-26T21:37:07.3430293Z Running test_fake_tensor 1/1 ... [2025-08-26 21:37:07.062786]
2025-08-26T21:37:07.3430598Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:37:07.3431627Z 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 21:37:07.063123]
2025-08-26T21:37:31.9682185Z 
2025-08-26T21:37:31.9683276Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_6251357411504643_.log
2025-08-26T21:37:31.9755753Z 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
2025-08-26T21:37:31.9826147Z 
2025-08-26T21:37:31.9826300Z Running test_python_dispatch 1/1 ... [2025-08-26 21:37:31.968899]
2025-08-26T21:37:31.9826599Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:37:31.9827333Z 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 21:37:31.969283]
2025-08-26T21:37:38.6954241Z 
2025-08-26T21:37:38.6955266Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_b867fafacdb6e2c7_.log
2025-08-26T21:37:38.6987492Z 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
2025-08-26T21:37:38.7016701Z 
2025-08-26T21:37:38.7016834Z Running test_autocast 1/1 ... [2025-08-26 21:37:38.695654]
2025-08-26T21:37:38.7017110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:37:38.7017834Z 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 21:37:38.696002]
2025-08-26T21:37:43.3185507Z 
2025-08-26T21:37:43.3186306Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_e5d31c7989590196_.log
2025-08-26T21:37:43.3192100Z 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
2025-08-26T21:37:43.3197234Z 
2025-08-26T21:37:43.3197381Z Running test_jit_disabled 1/1 ... [2025-08-26 21:37:43.318698]
2025-08-26T21:37:43.3197669Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:37:43.3198391Z 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 21:37:43.319068]
2025-08-26T21:37:46.9402119Z 
2025-08-26T21:37:46.9403224Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_2168ee27f059adca_.log
2025-08-26T21:37:46.9404579Z 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
2025-08-26T21:37:46.9405459Z 
2025-08-26T21:37:46.9406970Z Running test_tensor_creation_ops 1/1 ... [2025-08-26 21:37:46.940485]
2025-08-26T21:37:46.9407368Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:37:46.9410917Z 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 21:37:46.940852]
2025-08-26T21:38:57.0645701Z 
2025-08-26T21:38:57.0647406Z 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_9c16d4d5ccaa4b18_.log
2025-08-26T21:38:57.0782640Z 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, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hsplit_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hsplit_cuda_int64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_float16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_float32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_float64, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_int16, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_int32, test/test_tensor_creation_ops.py::TestTensorCreationCUDA::test_hstack_column_stack_cuda_int64, 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
2025-08-26T21:38:57.0913216Z 
2025-08-26T21:38:57.0913411Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-08-26 21:38:57.065209]
2025-08-26T21:38:57.0913743Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:38:57.0914600Z 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 21:38:57.065585]
2025-08-26T21:39:00.4361818Z 
2025-08-26T21:39:00.4362725Z 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_035f4421715f363e_.log
2025-08-26T21:39:00.4365922Z 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
2025-08-26T21:39:00.4368719Z 
2025-08-26T21:39:00.4368881Z Running test_nn 1/1 ... [2025-08-26 21:39:00.436286]
2025-08-26T21:39:00.4369147Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:39:00.4369839Z 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 21:39:00.436629]
2025-08-26T21:41:47.2432683Z 
2025-08-26T21:41:47.2433566Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_ad689291e5b5fe75_.log
2025-08-26T21:41:47.3252870Z Running 2391 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda_fp32, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_dilated, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_groups_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_groups_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv1d_pad_same2_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_pad_valid, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_stride, test/test_nn.py::TestNN::test_Conv1d_stride_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_stride_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda_tf32, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_groups_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_no_bias, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_pad_same, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_pad_valid, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_padding, test/test_nn.py::TestNN::test_Conv2d_padding_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_padding_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_strided, test/test_nn.py::TestNN::test_Conv2d_strided_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_strided_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_zero_batch, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_groups_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_no_bias, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_pad_valid, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_stride, test/test_nn.py::TestNN::test_Conv3d_stride_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_stride_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_stride_padding, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_zero_batch, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda_fp32, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose2d, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose3d, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda_tf32, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda_fp32, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Linear_cuda_tf32, test/test_nn.py::TestNN::test_Linear_no_batch_dim, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda_fp32, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda_tf32, test/test_nn.py::TestNN::test_Linear_no_bias, test/test_nn.py::TestNN::test_Linear_no_bias_cuda_fp32, test/test_nn.py::TestNN::test_Linear_no_bias_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda_fp32, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_fp32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda_fp32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_tf32, 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_fp32, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_tf32, 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
2025-08-26T21:41:47.4052098Z 
2025-08-26T21:41:47.4052332Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-08-26 21:41:47.246184]
2025-08-26T21:41:47.4052717Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:41:47.4053508Z 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 21:41:47.246528]
2025-08-26T21:41:56.2268333Z 
2025-08-26T21:41:56.2269307Z 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_13b7071146cc2311_.log
2025-08-26T21:41:56.2276892Z 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
2025-08-26T21:41:56.2282707Z 
2025-08-26T21:41:56.2282926Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-08-26 21:41:56.227007]
2025-08-26T21:41:56.2283266Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:41:56.2284152Z 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 21:41:56.227448]
2025-08-26T21:41:59.6484015Z 
2025-08-26T21:41:59.6485382Z 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_723da4bdf64a60ad_.log
2025-08-26T21:41:59.6486313Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event
2025-08-26T21:41:59.6486716Z 
2025-08-26T21:41:59.6488071Z Running test_dispatch 1/1 ... [2025-08-26 21:41:59.648593]
2025-08-26T21:41:59.6488358Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:41:59.6491790Z 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 21:41:59.648954]
2025-08-26T21:42:20.7463731Z 
2025-08-26T21:42:20.7464542Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_442a49144bb2277c_.log
2025-08-26T21:42:20.7473042Z 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
2025-08-26T21:42:20.7479498Z 
2025-08-26T21:42:20.7479843Z Running test_native_mha 1/1 ... [2025-08-26 21:42:20.746492]
2025-08-26T21:42:20.7480147Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:42:20.7480961Z 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 21:42:20.746836]
2025-08-26T21:42:25.2693216Z 
2025-08-26T21:42:25.2694421Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_1adb1917e4d26962_.log
2025-08-26T21:42:25.2724241Z 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
2025-08-26T21:42:25.2751212Z 
2025-08-26T21:42:25.2751367Z Running test_sort_and_select 1/1 ... [2025-08-26 21:42:25.269550]
2025-08-26T21:42:25.2751671Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:42:25.2752392Z 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 21:42:25.269924]
2025-08-26T21:42:32.3462911Z 
2025-08-26T21:42:32.3463754Z 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_c218675aba70886d_.log
2025-08-26T21:42:32.3492666Z 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
2025-08-26T21:42:32.3518147Z 
2025-08-26T21:42:32.3518313Z Running test_cpp_extensions_jit 1/1 ... [2025-08-26 21:42:32.346628]
2025-08-26T21:42:32.3518616Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:42:32.3519352Z 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 21:42:32.346999]
2025-08-26T21:43:34.2649908Z 
2025-08-26T21:43:34.2651040Z 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_16b0c6a46645f97b_.log
2025-08-26T21:43:34.2662311Z 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
2025-08-26T21:43:34.2671025Z 
2025-08-26T21:43:34.2671160Z Running nn/test_pooling 1/1 ... [2025-08-26 21:43:34.265214]
2025-08-26T21:43:34.2671451Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:43:34.2672279Z 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 21:43:34.265596]
2025-08-26T21:43:44.4485646Z 
2025-08-26T21:43:44.4486692Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_8fd80c4ad3f6ee59_.log
2025-08-26T21:43:44.4525701Z 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
2025-08-26T21:43:44.4562564Z 
2025-08-26T21:43:44.4562732Z Running nn/test_convolution 1/1 ... [2025-08-26 21:43:44.448790]
2025-08-26T21:43:44.4563049Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:43:44.4563781Z 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 21:43:44.449180]
2025-08-26T21:44:16.5677787Z 
2025-08-26T21:44:16.5678765Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_ea41e3317d098ace_.log
2025-08-26T21:44:16.5913687Z 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, 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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
2025-08-26T21:44:16.6141107Z 
2025-08-26T21:44:16.6141295Z Running test_multiprocessing_spawn 1/1 ... [2025-08-26 21:44:16.568910]
2025-08-26T21:44:16.6141613Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:44:16.6142362Z 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 21:44:16.569250]
2025-08-26T21:46:40.6500161Z 
2025-08-26T21:46:40.6501254Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_e3d5a364962c16cf_.log
2025-08-26T21:46:40.6511278Z 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
2025-08-26T21:46:40.6519966Z 
2025-08-26T21:46:41.1747744Z Uploading artifacts took 0.52 seconds
2025-08-26T21:46:41.1750507Z Running test_cuda_primary_ctx 1/1 ... [2025-08-26 21:46:41.174818]
2025-08-26T21:46:41.1750976Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:46:41.1754048Z 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 21:46:41.175140]
2025-08-26T21:46:59.1373062Z 
2025-08-26T21:46:59.1373881Z 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_fca86ee39aeefef0_.log
2025-08-26T21:46:59.1375457Z 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
2025-08-26T21:46:59.1376965Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_copy
2025-08-26T21:46:59.1377731Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_pin_memory
2025-08-26T21:46:59.1378379Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_set_device_0
2025-08-26T21:46:59.1379018Z Running 1 items in this shard: test/test_cuda_primary_ctx.py::TestCudaPrimaryCtx::test_str_repr
2025-08-26T21:46:59.1379390Z 
2025-08-26T21:46:59.1379579Z Running test_mobile_optimizer 1/1 ... [2025-08-26 21:46:59.137487]
2025-08-26T21:46:59.1379981Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:46:59.1381404Z 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 21:46:59.137889]
2025-08-26T21:47:04.4117507Z 
2025-08-26T21:47:04.4118686Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_b8b4608c686fc44d_.log
2025-08-26T21:47:04.4122316Z 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
2025-08-26T21:47:04.4125006Z 
2025-08-26T21:47:04.4125313Z Running test_cuda_trace 1/1 ... [2025-08-26 21:47:04.411857]
2025-08-26T21:47:04.4125618Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:47:04.4126366Z 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 21:47:04.412245]
2025-08-26T21:47:50.4235522Z 
2025-08-26T21:47:50.4236491Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_73010d509cc113b8_.log
2025-08-26T21:47:50.4240315Z 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
2025-08-26T21:47:50.4243934Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_all_trace_callbacks_called
2025-08-26T21:47:50.4244508Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_device_synchronization_callback
2025-08-26T21:47:50.4245040Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_creation_callback
2025-08-26T21:47:50.4245546Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_deletion_callback
2025-08-26T21:47:50.4246153Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_record_callback
2025-08-26T21:47:50.4246800Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_synchronization_callback
2025-08-26T21:47:50.4247313Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_event_wait_callback
2025-08-26T21:47:50.4247811Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_memcpy_synchronization
2025-08-26T21:47:50.4248330Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_memory_allocation_callback
2025-08-26T21:47:50.4248852Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_memory_deallocation_callback
2025-08-26T21:47:50.4249369Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_stream_creation_callback
2025-08-26T21:47:50.4249895Z Running 1 items in this shard: test/test_cuda_trace.py::TestCudaTrace::test_stream_synchronization_callback
2025-08-26T21:47:50.4250210Z 
2025-08-26T21:47:50.4250367Z Running test_cuda_nvml_based_avail 1/1 ... [2025-08-26 21:47:50.424062]
2025-08-26T21:47:50.4250666Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:47:50.4251446Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:47:50.424438]
2025-08-26T21:48:24.5946453Z 
2025-08-26T21:48:24.5947993Z test_cuda_nvml_based_avail 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_nvml_based_avail_1.1_4a3ffb14ccb60571_.log
2025-08-26T21:48:24.5953553Z Running 9 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init2, test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init_0, test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init_1, test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init2, test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init_0, test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init_1, test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_env_var_parsing, test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_ordinal_parse_visible_devices, test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_partial_uuid_resolver
2025-08-26T21:48:24.5957013Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init2
2025-08-26T21:48:24.5957782Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init_0
2025-08-26T21:48:24.5958531Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_False_avoid_init_1
2025-08-26T21:48:24.5959285Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init2
2025-08-26T21:48:24.5960025Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init_0
2025-08-26T21:48:24.5960757Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestExtendedCUDAIsAvail::test_cuda_is_available_nvml_avail_True_avoid_init_1
2025-08-26T21:48:24.5961422Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_env_var_parsing
2025-08-26T21:48:24.5962056Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_ordinal_parse_visible_devices
2025-08-26T21:48:24.5962688Z Running 1 items in this shard: test/test_cuda_nvml_based_avail.py::TestVisibleDeviceParses::test_partial_uuid_resolver
2025-08-26T21:48:24.5963030Z 
2025-08-26T21:48:24.5963182Z Running test_spectral_ops 1/1 ... [2025-08-26 21:48:24.594950]
2025-08-26T21:48:24.5963477Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:48:24.5964191Z 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 21:48:24.595327]
2025-08-26T21:48:45.9443751Z 
2025-08-26T21:48:45.9444817Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_7b6de06d3f3545cb_.log
2025-08-26T21:48:45.9525776Z 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, 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2025-08-26T21:48:45.9603182Z 
2025-08-26T21:48:45.9603375Z Running distributions/test_distributions 1/1 ... [2025-08-26 21:48:45.945247]
2025-08-26T21:48:45.9603723Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:48:45.9604502Z 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 21:48:45.945615]
2025-08-26T21:49:40.8973063Z 
2025-08-26T21:49:40.8976276Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_93f90fbef8a8aaef_.log
2025-08-26T21:49:40.9037303Z 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
2025-08-26T21:49:40.9096523Z 
2025-08-26T21:49:40.9096715Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-08-26 21:49:40.897685]
2025-08-26T21:49:43.3890612Z /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.
2025-08-26T21:49:43.3892036Z   import pkg_resources
2025-08-26T21:49:43.4609874Z running install
2025-08-26T21:49:43.4612291Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T21:49:43.4612884Z !!
2025-08-26T21:49:43.4612971Z 
2025-08-26T21:49:43.4613080Z         ********************************************************************************
2025-08-26T21:49:43.4613378Z         Please avoid running ``setup.py`` directly.
2025-08-26T21:49:43.4613660Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T21:49:43.4613928Z         standards-based tools.
2025-08-26T21:49:43.4614067Z 
2025-08-26T21:49:43.4614230Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-26T21:49:43.4614571Z         or your builds will no longer be supported.
2025-08-26T21:49:43.4614750Z 
2025-08-26T21:49:43.4614973Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T21:49:43.4615334Z         ********************************************************************************
2025-08-26T21:49:43.4615507Z 
2025-08-26T21:49:43.4615565Z !!
2025-08-26T21:49:43.4615726Z   self.initialize_options()
2025-08-26T21:49:43.4720361Z running build
2025-08-26T21:49:43.4720960Z running build_py
2025-08-26T21:49:43.4790769Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-26T21:49:43.4793199Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-26T21:49:43.4804011Z running build_ext
2025-08-26T21:49:43.4836168Z building 'torch_test_cpp_extension.cpp' extension
2025-08-26T21:49:43.4837141Z creating build/temp.linux-x86_64-cpython-310
2025-08-26T21:49:43.4840974Z 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 -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-26T21:49:44.4729895Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:12,
2025-08-26T21:49:44.4731083Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2025-08-26T21:49:44.4731846Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:9,
2025-08-26T21:49:44.4732324Z                  from extension.cpp:1:
2025-08-26T21:49:44.4735632Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2025-08-26T21:49:44.4736283Z extension.cpp:45:53:   required from here
2025-08-26T21:49:44.4737483Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:2041:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2025-08-26T21:49:44.4738436Z  2041 | class class_ : public detail::generic_type {
2025-08-26T21:49:44.4738676Z       |       ^~~~~~
2025-08-26T21:49:44.4739783Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< <template-parameter-1-1>, <template-parameter-1-2> >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’:
2025-08-26T21:49:44.4740716Z extension.cpp:45:53:   required from here
2025-08-26T21:49:44.4742275Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:2139:28: warning: ‘pybind11::class_<MatrixMultiplier>::class_<>(pybind11::handle, const char*)::<lambda(pybind11::detail::internals&)>’ declared with greater visibility than the type of its field ‘pybind11::class_<MatrixMultiplier>::class_<>(pybind11::handle, const char*)::<lambda(pybind11::detail::internals&)>::<record capture>’ [-Wattributes]
2025-08-26T21:49:44.4743980Z  2139 |             with_internals([&](internals &internals) {
2025-08-26T21:49:44.4755268Z       |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:44.4755889Z  2140 |                 auto &instances = record.module_local ? get_local_internals().registered_types_cpp
2025-08-26T21:49:44.4756399Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:44.4756724Z  2141 |                                                       : internals.registered_types_cpp;
2025-08-26T21:49:44.4757021Z       |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:44.4757320Z  2142 |                 instances[std::type_index(typeid(type_alias))]
2025-08-26T21:49:44.4757602Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:44.4758020Z  2143 |                     = instances[std::type_index(typeid(type))];
2025-08-26T21:49:44.4758327Z       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:44.4758559Z  2144 |             });
2025-08-26T21:49:44.4758742Z       |             ~               
2025-08-26T21:49:44.4760296Z 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
2025-08-26T21:49:44.9373930Z building 'torch_test_cpp_extension.maia' extension
2025-08-26T21:49:44.9377589Z 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 -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-26T21:49:45.9003824Z 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
2025-08-26T21:49:46.3483604Z building 'torch_test_cpp_extension.rng' extension
2025-08-26T21:49:46.3486833Z 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 -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-26T21:49:47.4212111Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-26T21:49:47.4213537Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-26T21:49:47.4214573Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-26T21:49:47.4215972Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-26T21:49:47.4216986Z                  from rng_extension.cpp:6:
2025-08-26T21:49:47.4218779Z /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]
2025-08-26T21:49:47.4220088Z  1478 | #pragma unroll
2025-08-26T21:49:47.4220455Z       | 
2025-08-26T21:49:47.4221280Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4,
2025-08-26T21:49:47.4222752Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530,
2025-08-26T21:49:47.4224119Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-26T21:49:47.4225172Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-26T21:49:47.4226157Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-26T21:49:47.4227435Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-26T21:49:47.4228184Z                  from rng_extension.cpp:6:
2025-08-26T21:49:47.4229443Z /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]
2025-08-26T21:49:47.4230386Z    59 | #pragma unroll
2025-08-26T21:49:47.4230676Z       | 
2025-08-26T21:49:47.4231313Z /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]
2025-08-26T21:49:47.4232257Z    72 | #pragma unroll
2025-08-26T21:49:47.4232462Z       | 
2025-08-26T21:49:47.4233220Z /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]
2025-08-26T21:49:47.4234158Z    87 | #pragma unroll
2025-08-26T21:49:47.4234449Z       | 
2025-08-26T21:49:47.4235002Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531,
2025-08-26T21:49:47.4235942Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-26T21:49:47.4236496Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-26T21:49:47.4237020Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-26T21:49:47.4237619Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-26T21:49:47.4238087Z                  from rng_extension.cpp:6:
2025-08-26T21:49:47.4238781Z /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]
2025-08-26T21:49:47.4239347Z   160 | #pragma unroll
2025-08-26T21:49:47.4239523Z       | 
2025-08-26T21:49:47.4239868Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4240448Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4241051Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4241579Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4242081Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4242637Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4243554Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4244174Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4244768Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4245389Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4246020Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4246686Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4247109Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4248068Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4249171Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4250468Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4251650Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4252988Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4254359Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4258524Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4265626Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4269727Z /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]
2025-08-26T21:49:47.4270386Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4270659Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4275082Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4279862Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4280736Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4281146Z       |        ^~~~~~~~
2025-08-26T21:49:47.4281575Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4282246Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4282835Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4283484Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4284002Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4284577Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4285300Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4286114Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4286872Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4287609Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4288346Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4288978Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4289616Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4289992Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4290607Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4291155Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4291408Z       |                     ^~~~
2025-08-26T21:49:47.4291799Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4292372Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4292918Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4293517Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4294026Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4294577Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4295194Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4295780Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4296367Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4296994Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4297655Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4298217Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4298588Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4299285Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4300328Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4301483Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4302660Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4303915Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4305277Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4309489Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4316604Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4320897Z /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]
2025-08-26T21:49:47.4321540Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4321813Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4326026Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4330428Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4331295Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4331617Z       |        ^~~~~~~~
2025-08-26T21:49:47.4332189Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4333399Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4334302Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4334935Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4335470Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4336031Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4336729Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4337500Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4338254Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4338998Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4339684Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4340316Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4340870Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4341252Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4341863Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4342389Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4342630Z       |                     ^~~~
2025-08-26T21:49:47.4343350Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4343960Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4344515Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4345060Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4345565Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4346127Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4346745Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4347441Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4348045Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4348735Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4349377Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4350010Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4350392Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4351113Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4352168Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4353401Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4354561Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4355904Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4357266Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4361159Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4367759Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4371553Z /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]
2025-08-26T21:49:47.4372178Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4372439Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4376347Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4380545Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4381411Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4381691Z       |        ^~~~~~~~
2025-08-26T21:49:47.4382111Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4382781Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4383398Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4383969Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4384479Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4385036Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4385791Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4386568Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4387381Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4388128Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4388837Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4389464Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4390063Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4390436Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4391009Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4391508Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4391763Z       |                     ^~~~
2025-08-26T21:49:47.4392157Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4392788Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4393337Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4393877Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4394385Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4394959Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4395575Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4396233Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4396824Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4397454Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4398091Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4398662Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4399032Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4399717Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4400772Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4401932Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4403109Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4404371Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4405764Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4409671Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4416245Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4420009Z /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]
2025-08-26T21:49:47.4420634Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4420911Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4424890Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4429063Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4429963Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4430248Z       |        ^~~~~~~~
2025-08-26T21:49:47.4430668Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4431340Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4431941Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4432563Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4433091Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4433660Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4434366Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4435122Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4435946Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4436713Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4437391Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4438019Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4438585Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4438954Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4439531Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4440043Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4440288Z       |                     ^~~~
2025-08-26T21:49:47.4440677Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4441256Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4441808Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4442341Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4443088Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4443697Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4444415Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4445029Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4445675Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4446312Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4447024Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4447588Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4447963Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4448679Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4449806Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4450951Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4452128Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4453393Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4454748Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4458843Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4465827Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4469834Z /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]
2025-08-26T21:49:47.4470481Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4470807Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4474947Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4479371Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4480237Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4480523Z       |        ^~~~~~~~
2025-08-26T21:49:47.4480943Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4481621Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4482225Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4482793Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4483318Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4483883Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4484592Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4485412Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4486215Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4486967Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4487674Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4488297Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4488860Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4489252Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4489873Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4490375Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4490613Z       |                     ^~~~
2025-08-26T21:49:47.4491022Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4491611Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4492162Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4492690Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4493198Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4493762Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4494398Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4494994Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4495587Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4496224Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4496868Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4497448Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4497827Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4498515Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4499577Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4500738Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4501905Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4503215Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4504630Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4508792Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4515868Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4519848Z /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]
2025-08-26T21:49:47.4520480Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4520759Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4524981Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4529344Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4530246Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4530533Z       |        ^~~~~~~~
2025-08-26T21:49:47.4530961Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4531758Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4532378Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4532932Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4533461Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4534122Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4534839Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4535607Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4536454Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4537216Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4537898Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4538618Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4539194Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4539567Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4540162Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4540666Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4540906Z       |                     ^~~~
2025-08-26T21:49:47.4541311Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4541884Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4542426Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4543345Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4543868Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4544491Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4545124Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4545787Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4546381Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4547010Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4547656Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4548292Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4548669Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4549379Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4550449Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4551595Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4552761Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4554039Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4555388Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4559365Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4565990Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4569837Z /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]
2025-08-26T21:49:47.4570470Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4570738Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4574697Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4578864Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4579718Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4579999Z       |        ^~~~~~~~
2025-08-26T21:49:47.4580438Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4581107Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4581712Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4582266Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4582788Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4583400Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4584111Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4584925Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4585689Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4586460Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4587149Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4587788Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4588397Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4588771Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4589332Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4589836Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4590085Z       |                     ^~~~
2025-08-26T21:49:47.4590477Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4591051Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4591592Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4592136Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4592637Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4593215Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4593836Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4594443Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4595028Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4595653Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4596391Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4596954Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4597328Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4597998Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4599049Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4600254Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4601439Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4602738Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4604145Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4608007Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4614572Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4618350Z /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]
2025-08-26T21:49:47.4618977Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4619250Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4623241Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4627420Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4628324Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4628612Z       |        ^~~~~~~~
2025-08-26T21:49:47.4629037Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4629702Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4630313Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4630864Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4631374Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4631932Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4632640Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4633411Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4634185Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4634928Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4635597Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4636292Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4636860Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4637232Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4637806Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4638306Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4638549Z       |                     ^~~~
2025-08-26T21:49:47.4638935Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4639506Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4640112Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4640661Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4641212Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4641768Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4642428Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4643267Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4643880Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4644521Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4645260Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4645829Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4646218Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4646933Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4647987Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4649144Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4650324Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4651577Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4652927Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4656824Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4663485Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4667347Z /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]
2025-08-26T21:49:47.4667984Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4668250Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4672183Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4676400Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4677266Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4677562Z       |        ^~~~~~~~
2025-08-26T21:49:47.4677983Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4678651Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4679252Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4679800Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4680365Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4680934Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4681676Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4682445Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4683247Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4684001Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4684676Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4685358Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4685928Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4686306Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4686882Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4687388Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4687634Z       |                     ^~~~
2025-08-26T21:49:47.4688028Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4688615Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4689162Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4689702Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4690217Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4690779Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4691397Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4691985Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4692569Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4693208Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4693856Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4694422Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4694799Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4695495Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4696560Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4697760Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4699003Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4700264Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4701673Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4705554Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4712137Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4715997Z /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]
2025-08-26T21:49:47.4716620Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4716899Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4720915Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4725105Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4726027Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4726323Z       |        ^~~~~~~~
2025-08-26T21:49:47.4726745Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4727413Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4728008Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4728550Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4729069Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4729641Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4730346Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4731104Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4731866Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4732621Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4733301Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4733940Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4734522Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4734909Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4735476Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4735972Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4736211Z       |                     ^~~~
2025-08-26T21:49:47.4736600Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4737169Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4737763Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4738302Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4738837Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4739398Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4740042Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4740636Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4741240Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4741868Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4742565Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4743426Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4743804Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4744514Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4745571Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4746717Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4747911Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4749163Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4750513Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4754467Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4761305Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4765191Z /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]
2025-08-26T21:49:47.4765841Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4766111Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4770049Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4774205Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4775078Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4775364Z       |        ^~~~~~~~
2025-08-26T21:49:47.4775778Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4776446Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4777046Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4777599Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4778165Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4778738Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4779469Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4780239Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4781034Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4781776Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4782449Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4783122Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4783695Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4784070Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4784632Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4785136Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4785370Z       |                     ^~~~
2025-08-26T21:49:47.4785772Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4786351Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4786911Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4787444Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4787951Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4788516Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4789133Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4789722Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4790323Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4790958Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4791597Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4792159Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4792533Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4793219Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4794278Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4795485Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4796781Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4798042Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4799467Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4803328Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4809906Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4813663Z /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]
2025-08-26T21:49:47.4814296Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4814563Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4818576Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4822755Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4823670Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4823950Z       |        ^~~~~~~~
2025-08-26T21:49:47.4824369Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4825041Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4825640Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4826193Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4826718Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4827293Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4827999Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4828762Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4829539Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4830284Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4830980Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4831631Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4832211Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4832595Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4833173Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4833701Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4833961Z       |                     ^~~~
2025-08-26T21:49:47.4834373Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4835014Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4835563Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4836192Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4836703Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4837267Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4837936Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4838527Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4839135Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4839821Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4840466Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4841032Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4841408Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4842095Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4843424Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4844612Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4845804Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4847053Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4848404Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4852572Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4859599Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4863686Z /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]
2025-08-26T21:49:47.4864318Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4864598Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4868766Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4873111Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4873988Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4874275Z       |        ^~~~~~~~
2025-08-26T21:49:47.4874713Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4875385Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4876119Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4876684Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4877271Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4877849Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4878607Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4879384Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4880158Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4880993Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4881671Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4882300Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4882872Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4883244Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4883837Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4884342Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4884588Z       |                     ^~~~
2025-08-26T21:49:47.4884989Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4885562Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4886114Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4886647Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4887153Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4887724Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4888342Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4888942Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4889538Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4890162Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4890800Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4891360Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4903787Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4904683Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4905815Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4907018Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4908246Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4909496Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4910839Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4915061Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4922224Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4926292Z /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]
2025-08-26T21:49:47.4926944Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4927228Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4931596Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4936079Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4936946Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4937245Z       |        ^~~~~~~~
2025-08-26T21:49:47.4937675Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4938347Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4938939Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4939480Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4940004Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4940558Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4941253Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4942018Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4942771Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4943939Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4944626Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4945252Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4945909Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4946289Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4946879Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4947448Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4947690Z       |                     ^~~~
2025-08-26T21:49:47.4948077Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4948710Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4949244Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4949771Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.4950279Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.4950904Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.4951521Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.4952113Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.4952721Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.4953365Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.4954007Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.4954567Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4954953Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4955660Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.4956799Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.4957948Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4959131Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.4960404Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.4961756Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.4966024Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.4973117Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.4977186Z /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]
2025-08-26T21:49:47.4977810Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.4978081Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.4982286Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.4986712Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.4987608Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.4987907Z       |        ^~~~~~~~
2025-08-26T21:49:47.4988330Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.4989050Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.4989638Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.4990192Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.4990707Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.4991316Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.4992025Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.4992780Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.4993539Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.4994276Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.4994947Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.4995594Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.4996213Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.4996581Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.4997152Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.4997654Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.4997890Z       |                     ^~~~
2025-08-26T21:49:47.4998274Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.4998847Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.4999392Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.4999915Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.5000409Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.5000963Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.5001576Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.5002166Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.5002805Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.5003435Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.5004118Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.5004687Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5005100Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5005784Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.5006834Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.5007990Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5009220Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5010476Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.5011816Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.5015968Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.5023072Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.5027105Z /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]
2025-08-26T21:49:47.5027727Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.5027990Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.5032201Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.5036682Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.5037543Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.5037827Z       |        ^~~~~~~~
2025-08-26T21:49:47.5038245Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.5038907Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.5039504Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.5040053Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.5040562Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.5041117Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.5041827Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.5042585Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.5043626Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.5044384Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.5045136Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.5045774Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.5046406Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5046778Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5047349Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.5047847Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.5048161Z       |                     ^~~~
2025-08-26T21:49:47.5048546Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.5049123Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.5049663Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.5050192Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.5050692Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.5051249Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.5051863Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.5052470Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.5053056Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.5053680Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.5054315Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.5054890Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5055257Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5055954Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.5057013Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.5058167Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5059340Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5060634Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.5062019Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.5066200Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.5073338Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.5077396Z /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]
2025-08-26T21:49:47.5078025Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.5078289Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.5082585Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.5086994Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.5087856Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.5088191Z       |        ^~~~~~~~
2025-08-26T21:49:47.5088619Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.5089306Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.5089903Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.5090457Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.5090973Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.5091531Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.5092233Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.5092995Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.5093751Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.5094496Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.5095165Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.5095788Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.5096352Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5096719Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5097295Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.5097788Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.5098035Z       |                     ^~~~
2025-08-26T21:49:47.5098422Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.5099006Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.5099544Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.5100117Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.5100624Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.5101174Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.5101826Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.5102420Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.5103037Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.5103662Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.5104299Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.5104904Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5105273Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5105944Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.5106980Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.5108117Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5109281Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5110546Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.5111880Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.5116068Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.5123207Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.5127285Z /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]
2025-08-26T21:49:47.5127911Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.5128184Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.5132424Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.5136849Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.5137714Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.5138001Z       |        ^~~~~~~~
2025-08-26T21:49:47.5138424Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.5139088Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.5139683Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.5140278Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.5140808Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.5141412Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.5142109Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.5143080Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.5143852Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.5144595Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.5145270Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.5145992Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.5146558Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5146949Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5147537Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.5148039Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.5148289Z       |                     ^~~~
2025-08-26T21:49:47.5148677Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.5149262Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.5149819Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.5150353Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.5150862Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.5151426Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.5152037Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.5152635Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.5153228Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.5153860Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.5154500Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.5155064Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5155451Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5156182Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.5157319Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.5158488Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5159733Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5161052Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.5162418Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.5166625Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.5173681Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.5177677Z /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]
2025-08-26T21:49:47.5178301Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.5178565Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.5182846Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.5187314Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.5188181Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.5188468Z       |        ^~~~~~~~
2025-08-26T21:49:47.5188879Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.5189549Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.5190163Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.5190716Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.5191230Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.5191796Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.5192490Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.5193300Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.5194071Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.5194852Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.5195528Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.5196235Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.5196808Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5197189Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5197758Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.5198307Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.5198542Z       |                     ^~~~
2025-08-26T21:49:47.5198930Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.5199500Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.5200040Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.5200563Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.5201067Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.5201629Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.5202258Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.5202846Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.5203443Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.5204075Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.5204724Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.5205287Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5205656Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5206343Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.5207663Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.5208821Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5210000Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5211322Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.5212726Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.5216876Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.5224003Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.5227996Z /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]
2025-08-26T21:49:47.5228634Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.5228920Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.5234089Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.5238675Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.5239541Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.5239886Z       |        ^~~~~~~~
2025-08-26T21:49:47.5240317Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.5240991Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.5241585Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.5242152Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.5242673Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.5243444Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.5244175Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.5244937Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.5245692Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.5246453Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.5247126Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.5247755Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.5248329Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5248708Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5249298Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.5249800Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.5250042Z       |                     ^~~~
2025-08-26T21:49:47.5250431Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.5251004Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.5251552Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.5252188Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.5252703Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.5253315Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.5253944Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.5254627Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.5255221Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.5255863Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.5256498Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.5257137Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5257513Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5258199Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.5259262Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.5260414Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5261585Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5262849Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.5264200Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.5268350Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.5275476Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.5279645Z /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]
2025-08-26T21:49:47.5280275Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.5280540Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.5284772Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.5289138Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.5289988Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.5290274Z       |        ^~~~~~~~
2025-08-26T21:49:47.5290690Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.5291358Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.5291950Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.5292551Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.5293071Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.5293680Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.5294374Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.5295164Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.5295932Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.5296680Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.5297398Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.5298035Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.5298596Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5298976Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5299533Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.5300033Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.5300266Z       |                     ^~~~
2025-08-26T21:49:47.5300679Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.5301269Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.5301810Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.5302335Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.5302831Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.5303402Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.5304014Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.5304603Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.5305203Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.5305842Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.5306475Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.5307032Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5307401Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5308085Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.5309197Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.5310393Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5311574Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5312872Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.5314216Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.5318186Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.5324745Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.5328511Z /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]
2025-08-26T21:49:47.5329135Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.5329392Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.5333411Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.5337648Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.5338504Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.5338789Z       |        ^~~~~~~~
2025-08-26T21:49:47.5339207Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.5339877Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.5340470Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.5341027Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.5341547Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.5342108Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.5342996Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.5343790Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.5344554Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.5345290Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.5345968Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.5346600Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.5347167Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5347559Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5348135Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.5348633Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.5348874Z       |                     ^~~~
2025-08-26T21:49:47.5349352Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.5349940Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.5350250Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.5350475Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.5350682Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.5351029Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.5351295Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.5351551Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.5351871Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.5352167Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.5352438Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.5352665Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5352747Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5353302Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.5353900Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.5354552Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5355166Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5355925Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.5356656Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.5360260Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.5364247Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.5364886Z /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]
2025-08-26T21:49:47.5365006Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.5365090Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.5369141Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.5369996Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.5370151Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.5370221Z       |        ^~~~~~~~
2025-08-26T21:49:47.5370581Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.5370877Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.5371149Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.5371385Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.5371627Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.5371905Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.5372270Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.5372611Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.5373019Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.5373338Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.5373622Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.5373897Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.5374112Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5374214Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5374628Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.5374745Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.5374812Z       |                     ^~~~
2025-08-26T21:49:47.5375087Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.5375330Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.5375564Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.5375795Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.5376012Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.5376301Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.5376566Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.5376822Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.5377092Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.5377386Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.5377665Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.5377885Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5378038Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5378568Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.5379197Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.5379825Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5380495Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5381199Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.5381995Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.5385533Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.5389540Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.5390122Z /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]
2025-08-26T21:49:47.5390282Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.5390378Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.5394468Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.5395415Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.5395580Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.5395646Z       |        ^~~~~~~~
2025-08-26T21:49:47.5396036Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.5396328Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.5396570Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.5396806Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.5397006Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.5397294Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.5397648Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.5397984Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.5398344Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.5398661Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.5398957Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.5399279Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.5399517Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5399638Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5400057Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.5400164Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.5400273Z       |                     ^~~~
2025-08-26T21:49:47.5400552Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.5400786Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.5401024Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.5401290Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.5401504Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.5401792Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.5402051Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.5402313Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.5402564Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.5402871Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.5403147Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.5403370Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5403456Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5403980Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.5404568Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.5405191Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5405808Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5406522Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.5407255Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.5410865Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.5414918Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.5415492Z /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]
2025-08-26T21:49:47.5415617Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.5415702Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.5419818Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.5420722Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.5420871Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.5420980Z       |        ^~~~~~~~
2025-08-26T21:49:47.5421304Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.5421586Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.5421838Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.5422116Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.5422322Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.5422607Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.5422956Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.5423298Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.5423655Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.5423987Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.5424278Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.5424562Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.5424791Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5424878Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5425300Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.5425399Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.5425470Z       |                     ^~~~
2025-08-26T21:49:47.5425746Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.5425983Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.5426222Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.5426437Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.5426650Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.5426925Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.5427188Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.5427486Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.5427747Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.5428084Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.5428354Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.5428607Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5428685Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5429238Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.5429819Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.5430518Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5431147Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5431857Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.5432582Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.5435867Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.5439618Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.5440220Z /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]
2025-08-26T21:49:47.5440337Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.5440418Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.5444366Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.5445341Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.5445506Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.5445570Z       |        ^~~~~~~~
2025-08-26T21:49:47.5445894Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.5446176Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.5446423Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.5446658Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.5446862Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.5447163Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.5447512Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.5447851Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.5448264Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.5448592Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.5448924Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.5449205Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.5449494Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5449577Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5449992Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.5450091Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.5450172Z       |                     ^~~~
2025-08-26T21:49:47.5450444Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:49:47.5450731Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:49:47.5450977Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:49:47.5451194Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:49:47.5451406Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:49:47.5451686Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:49:47.5451948Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:49:47.5452214Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:49:47.5452470Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:49:47.5452766Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:49:47.5453036Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:49:47.5453251Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5453336Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5453874Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:49:47.5454449Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:49:47.5455076Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5455680Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:49:47.5456396Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:49:47.5457178Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:49:47.5460740Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:49:47.5464776Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:49:47.5465343Z /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]
2025-08-26T21:49:47.5465460Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:49:47.5465542Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:49:47.5469671Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:49:47.5470561Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:49:47.5470704Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:49:47.5470777Z       |        ^~~~~~~~
2025-08-26T21:49:47.5471104Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:49:47.5471442Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:49:47.5471686Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:49:47.5471915Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:49:47.5472128Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:49:47.5472408Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:49:47.5472763Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:49:47.5473125Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:49:47.5473488Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:49:47.5473811Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:49:47.5474094Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:49:47.5474371Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:49:47.5474584Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:49:47.5474675Z                  from rng_extension.cpp:1:
2025-08-26T21:49:47.5475095Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:49:47.5475195Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:49:47.5475272Z       |                     ^~~~
2025-08-26T21:49:47.5476650Z 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
2025-08-26T21:49:47.9032383Z building 'torch_test_cpp_extension.cuda' extension
2025-08-26T21:49:47.9036442Z 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/usr/local/cuda/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 -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -std=c++17
2025-08-26T21:49:48.8114872Z /usr/local/cuda/bin/nvcc -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/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cuda_extension_kernel.cu -o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:50:03.0957728Z /usr/local/cuda/bin/nvcc -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/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cuda_extension_kernel2.cu -o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel2.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:50:17.3195370Z 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/cuda_extension_kernel.o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel2.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:50:17.8355522Z building 'torch_test_cpp_extension.torch_library' extension
2025-08-26T21:50:17.8359866Z /usr/local/cuda/bin/nvcc -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/usr/local/cuda/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__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=torch_library -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:50:48.3511684Z 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/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:50:48.6883321Z building 'torch_test_cpp_extension.cublas_extension' extension
2025-08-26T21:50:48.6886013Z 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/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cublas_extension.cpp -o build/temp.linux-x86_64-cpython-310/cublas_extension.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cublas_extension -std=c++17
2025-08-26T21:50:49.6625804Z 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/cublas_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lcublas -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cublas_extension.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:50:49.9014319Z building 'torch_test_cpp_extension.cusolver_extension' extension
2025-08-26T21:50:49.9017430Z 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/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cusolver_extension.cpp -o build/temp.linux-x86_64-cpython-310/cusolver_extension.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cusolver_extension -std=c++17
2025-08-26T21:50:50.8718590Z 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/cusolver_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lcusolver -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cusolver_extension.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:50:51.1134489Z running install_lib
2025-08-26T21:50:51.1214505Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages
2025-08-26T21:50:51.1218704Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension
2025-08-26T21:50:51.1220312Z 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
2025-08-26T21:50:51.1222372Z 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
2025-08-26T21:50:51.1311209Z 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
2025-08-26T21:50:51.1402528Z 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
2025-08-26T21:50:51.1498363Z 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
2025-08-26T21:50:51.1582534Z 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
2025-08-26T21:50:51.1585785Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cublas_extension.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension
2025-08-26T21:50:51.1588564Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cusolver_extension.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension
2025-08-26T21:50:51.1595507Z 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
2025-08-26T21:50:51.1598648Z running install_egg_info
2025-08-26T21:50:51.1761926Z running egg_info
2025-08-26T21:50:51.1829002Z creating torch_test_cpp_extension.egg-info
2025-08-26T21:50:51.1830186Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-26T21:50:51.1833661Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-26T21:50:51.1835598Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-26T21:50:51.1838082Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-26T21:50:51.1839408Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T21:50:51.1912296Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T21:50:51.1919990Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T21:50:51.1921377Z 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
2025-08-26T21:50:51.1929700Z running install_scripts
2025-08-26T21:50:53.3653400Z running install
2025-08-26T21:50:53.3654516Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T21:50:53.3655234Z !!
2025-08-26T21:50:53.3655344Z 
2025-08-26T21:50:53.3655485Z         ********************************************************************************
2025-08-26T21:50:53.3655835Z         Please avoid running ``setup.py`` directly.
2025-08-26T21:50:53.3656213Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T21:50:53.3656543Z         standards-based tools.
2025-08-26T21:50:53.3656708Z 
2025-08-26T21:50:53.3656915Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-26T21:50:53.3657321Z         or your builds will no longer be supported.
2025-08-26T21:50:53.3657484Z 
2025-08-26T21:50:53.3657739Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T21:50:53.3658115Z         ********************************************************************************
2025-08-26T21:50:53.3658290Z 
2025-08-26T21:50:53.3658348Z !!
2025-08-26T21:50:53.3658507Z   self.initialize_options()
2025-08-26T21:50:53.3763256Z running build
2025-08-26T21:50:53.3763560Z running build_ext
2025-08-26T21:50:53.4057104Z building 'no_python_abi_suffix_test' extension
2025-08-26T21:50:53.4058931Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310
2025-08-26T21:50:53.5047254Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/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/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -std=c++17
2025-08-26T21:50:53.5082690Z creating build/lib.linux-x86_64-cpython-310
2025-08-26T21:50:53.5086297Z 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/workspace/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
2025-08-26T21:50:53.5982331Z running install_lib
2025-08-26T21:50:53.6057633Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages
2025-08-26T21:50:53.6061756Z 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
2025-08-26T21:50:53.6066153Z running install_egg_info
2025-08-26T21:50:53.6224240Z running egg_info
2025-08-26T21:50:53.6287518Z creating no_python_abi_suffix_test.egg-info
2025-08-26T21:50:53.6288618Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2025-08-26T21:50:53.6292347Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2025-08-26T21:50:53.6294912Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2025-08-26T21:50:53.6296300Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-26T21:50:53.6362755Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-26T21:50:53.6369751Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-26T21:50:53.6371119Z 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
2025-08-26T21:50:53.6377955Z running install_scripts
2025-08-26T21:50:55.6183471Z running bdist_wheel
2025-08-26T21:50:55.6740094Z running build
2025-08-26T21:50:55.6740309Z running build_ext
2025-08-26T21:50:55.6774317Z building 'python_agnostic._C' extension
2025-08-26T21:50:55.6777703Z creating /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc
2025-08-26T21:51:05.7176995Z [1/1] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o.d -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/usr/local/cuda/include -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.cu -o /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -DTORCH_API_INCLUDE_EXTENSION_H -DPy_LIMITED_API=0x03090000 -DTORCH_EXTENSION_NAME=_C -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:51:05.7238044Z creating build/lib.linux-x86_64-cpython-310/python_agnostic
2025-08-26T21:51:05.7244301Z 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/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so
2025-08-26T21:51:06.1753645Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T21:51:06.1754481Z !!
2025-08-26T21:51:06.1754808Z 
2025-08-26T21:51:06.1763838Z         ********************************************************************************
2025-08-26T21:51:06.1764368Z         Please avoid running ``setup.py`` directly.
2025-08-26T21:51:06.1764710Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T21:51:06.1764984Z         standards-based tools.
2025-08-26T21:51:06.1765122Z 
2025-08-26T21:51:06.1765306Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-26T21:51:06.1765663Z         or your builds will no longer be supported.
2025-08-26T21:51:06.1765829Z 
2025-08-26T21:51:06.1766063Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T21:51:06.1766448Z         ********************************************************************************
2025-08-26T21:51:06.1766624Z 
2025-08-26T21:51:06.1766683Z !!
2025-08-26T21:51:06.1766843Z   self.initialize_options()
2025-08-26T21:51:06.1818505Z installing to build/bdist.linux-x86_64/wheel
2025-08-26T21:51:06.1818833Z running install
2025-08-26T21:51:06.1859180Z running install_lib
2025-08-26T21:51:06.1927175Z creating build/bdist.linux-x86_64/wheel
2025-08-26T21:51:06.1929259Z creating build/bdist.linux-x86_64/wheel/python_agnostic
2025-08-26T21:51:06.1930704Z copying build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so -> build/bdist.linux-x86_64/wheel/./python_agnostic
2025-08-26T21:51:06.1935659Z running install_egg_info
2025-08-26T21:51:06.2005024Z running egg_info
2025-08-26T21:51:06.2068294Z creating python_agnostic.egg-info
2025-08-26T21:51:06.2069325Z writing python_agnostic.egg-info/PKG-INFO
2025-08-26T21:51:06.2073001Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt
2025-08-26T21:51:06.2075536Z writing top-level names to python_agnostic.egg-info/top_level.txt
2025-08-26T21:51:06.2077007Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-08-26T21:51:06.2147086Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-08-26T21:51:06.2154077Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-08-26T21:51:06.2155343Z Copying python_agnostic.egg-info to build/bdist.linux-x86_64/wheel/./python_agnostic-0.0-py3.10.egg-info
2025-08-26T21:51:06.2162365Z running install_scripts
2025-08-26T21:51:06.2266404Z creating build/bdist.linux-x86_64/wheel/python_agnostic-0.0.dist-info/WHEEL
2025-08-26T21:51:06.2270685Z creating 'dist/python_agnostic-0.0-cp39-abi3-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
2025-08-26T21:51:06.2419563Z adding 'python_agnostic/_C.so'
2025-08-26T21:51:06.2424747Z adding 'python_agnostic-0.0.dist-info/METADATA'
2025-08-26T21:51:06.2425890Z adding 'python_agnostic-0.0.dist-info/WHEEL'
2025-08-26T21:51:06.2426975Z adding 'python_agnostic-0.0.dist-info/top_level.txt'
2025-08-26T21:51:06.2428192Z adding 'python_agnostic-0.0.dist-info/RECORD'
2025-08-26T21:51:06.2429115Z removing build/bdist.linux-x86_64/wheel
2025-08-26T21:51:08.1925337Z running install
2025-08-26T21:51:08.1926662Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T21:51:08.1927401Z !!
2025-08-26T21:51:08.1927506Z 
2025-08-26T21:51:08.1927634Z         ********************************************************************************
2025-08-26T21:51:08.1927977Z         Please avoid running ``setup.py`` directly.
2025-08-26T21:51:08.1928452Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T21:51:08.1928787Z         standards-based tools.
2025-08-26T21:51:08.1928969Z 
2025-08-26T21:51:08.1929179Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-26T21:51:08.1929690Z         or your builds will no longer be supported.
2025-08-26T21:51:08.1929898Z 
2025-08-26T21:51:08.1930167Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T21:51:08.1930614Z         ********************************************************************************
2025-08-26T21:51:08.1930820Z 
2025-08-26T21:51:08.1930909Z !!
2025-08-26T21:51:08.1931114Z   self.initialize_options()
2025-08-26T21:51:08.2033820Z running build
2025-08-26T21:51:08.2034096Z running build_py
2025-08-26T21:51:08.2105449Z creating build/lib.linux-x86_64-cpython-310/libtorch_agnostic
2025-08-26T21:51:08.2107880Z copying libtorch_agnostic/__init__.py -> build/lib.linux-x86_64-cpython-310/libtorch_agnostic
2025-08-26T21:51:08.2117042Z copying libtorch_agnostic/ops.py -> build/lib.linux-x86_64-cpython-310/libtorch_agnostic
2025-08-26T21:51:08.2130536Z running build_ext
2025-08-26T21:51:08.2424883Z building 'libtorch_agnostic._C' extension
2025-08-26T21:51:08.2426876Z creating /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_extension/libtorch_agnostic/csrc
2025-08-26T21:51:08.4387231Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_extension/libtorch_agnostic/csrc/kernel.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/usr/local/cuda/include -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_extension/libtorch_agnostic/csrc/kernel.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_extension/libtorch_agnostic/csrc/kernel.o -fdiagnostics-color=always -DLAE_USE_CUDA -DTORCH_API_INCLUDE_EXTENSION_H -DPy_LIMITED_API=0x03090000 -DTORCH_EXTENSION_NAME=_C -std=c++17
2025-08-26T21:51:08.4433746Z 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/workspace/test/cpp_extensions/libtorch_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_extension/libtorch_agnostic/csrc/kernel.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/libtorch_agnostic/_C.so
2025-08-26T21:51:08.7849513Z running install_lib
2025-08-26T21:51:08.7923105Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages
2025-08-26T21:51:08.7927422Z creating install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic
2025-08-26T21:51:08.7929461Z 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
2025-08-26T21:51:08.7930602Z 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
2025-08-26T21:51:08.7932163Z 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
2025-08-26T21:51:08.7937789Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic/__init__.py to __init__.cpython-310.pyc
2025-08-26T21:51:08.7941486Z byte-compiling ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/libtorch_agnostic/ops.py to ops.cpython-310.pyc
2025-08-26T21:51:08.7948734Z running install_egg_info
2025-08-26T21:51:08.8103818Z running egg_info
2025-08-26T21:51:08.8165977Z creating libtorch_agnostic.egg-info
2025-08-26T21:51:08.8167498Z writing libtorch_agnostic.egg-info/PKG-INFO
2025-08-26T21:51:08.8171336Z writing dependency_links to libtorch_agnostic.egg-info/dependency_links.txt
2025-08-26T21:51:08.8173913Z writing requirements to libtorch_agnostic.egg-info/requires.txt
2025-08-26T21:51:08.8175168Z writing top-level names to libtorch_agnostic.egg-info/top_level.txt
2025-08-26T21:51:08.8176699Z writing manifest file 'libtorch_agnostic.egg-info/SOURCES.txt'
2025-08-26T21:51:08.8255307Z reading manifest file 'libtorch_agnostic.egg-info/SOURCES.txt'
2025-08-26T21:51:08.8262519Z writing manifest file 'libtorch_agnostic.egg-info/SOURCES.txt'
2025-08-26T21:51:08.8263788Z 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
2025-08-26T21:51:08.8272204Z running install_scripts
2025-08-26T21:51:09.2413060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:51:09.2416717Z 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 21:51:09.241421]
2025-08-26T21:51:13.1556540Z 
2025-08-26T21:51:13.1557436Z 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_6c6a7669dcabd09b_.log
2025-08-26T21:51:13.1564290Z 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
2025-08-26T21:51:13.1569300Z 
2025-08-26T21:51:13.1569455Z Running test_autoload_disable 1/1 ... [2025-08-26 21:51:13.155864]
2025-08-26T21:51:15.6575662Z /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.
2025-08-26T21:51:15.6576883Z   import pkg_resources
2025-08-26T21:51:15.7303805Z running install
2025-08-26T21:51:15.7306050Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T21:51:15.7306753Z !!
2025-08-26T21:51:15.7306863Z 
2025-08-26T21:51:15.7306995Z         ********************************************************************************
2025-08-26T21:51:15.7307537Z         Please avoid running ``setup.py`` directly.
2025-08-26T21:51:15.7307892Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T21:51:15.7308232Z         standards-based tools.
2025-08-26T21:51:15.7308409Z 
2025-08-26T21:51:15.7308618Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-26T21:51:15.7309031Z         or your builds will no longer be supported.
2025-08-26T21:51:15.7309238Z 
2025-08-26T21:51:15.7309503Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T21:51:15.7309954Z         ********************************************************************************
2025-08-26T21:51:15.7310163Z 
2025-08-26T21:51:15.7310236Z !!
2025-08-26T21:51:15.7310437Z   self.initialize_options()
2025-08-26T21:51:15.7415030Z running build
2025-08-26T21:51:15.7415358Z running build_py
2025-08-26T21:51:15.7487162Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-26T21:51:15.7489684Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-26T21:51:15.7493720Z running build_ext
2025-08-26T21:51:15.7528740Z building 'torch_test_cpp_extension.cpp' extension
2025-08-26T21:51:15.7529828Z creating build/temp.linux-x86_64-cpython-310
2025-08-26T21:51:15.7533899Z 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 -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-26T21:51:16.6522807Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:12,
2025-08-26T21:51:16.6524334Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2025-08-26T21:51:16.6525151Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:9,
2025-08-26T21:51:16.6525620Z                  from extension.cpp:1:
2025-08-26T21:51:16.6526686Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2025-08-26T21:51:16.6527277Z extension.cpp:45:53:   required from here
2025-08-26T21:51:16.6528488Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:2041:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2025-08-26T21:51:16.6531100Z  2041 | class class_ : public detail::generic_type {
2025-08-26T21:51:16.6531355Z       |       ^~~~~~
2025-08-26T21:51:16.6532660Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< <template-parameter-1-1>, <template-parameter-1-2> >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’:
2025-08-26T21:51:16.6533605Z extension.cpp:45:53:   required from here
2025-08-26T21:51:16.6535260Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:2139:28: warning: ‘pybind11::class_<MatrixMultiplier>::class_<>(pybind11::handle, const char*)::<lambda(pybind11::detail::internals&)>’ declared with greater visibility than the type of its field ‘pybind11::class_<MatrixMultiplier>::class_<>(pybind11::handle, const char*)::<lambda(pybind11::detail::internals&)>::<record capture>’ [-Wattributes]
2025-08-26T21:51:16.6536909Z  2139 |             with_internals([&](internals &internals) {
2025-08-26T21:51:16.6537295Z       |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:16.6537643Z  2140 |                 auto &instances = record.module_local ? get_local_internals().registered_types_cpp
2025-08-26T21:51:16.6538036Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:16.6538343Z  2141 |                                                       : internals.registered_types_cpp;
2025-08-26T21:51:16.6538627Z       |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:16.6538928Z  2142 |                 instances[std::type_index(typeid(type_alias))]
2025-08-26T21:51:16.6539198Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:16.6539472Z  2143 |                     = instances[std::type_index(typeid(type))];
2025-08-26T21:51:16.6539750Z       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:16.6539973Z  2144 |             });
2025-08-26T21:51:16.6540150Z       |             ~               
2025-08-26T21:51:16.6541604Z 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
2025-08-26T21:51:17.1095400Z building 'torch_test_cpp_extension.maia' extension
2025-08-26T21:51:17.1098384Z 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 -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-26T21:51:18.0065447Z 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
2025-08-26T21:51:18.4525844Z building 'torch_test_cpp_extension.rng' extension
2025-08-26T21:51:18.4529328Z 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 -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-26T21:51:19.4866245Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-26T21:51:19.4867519Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-26T21:51:19.4868368Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-26T21:51:19.4869665Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-26T21:51:19.4870484Z                  from rng_extension.cpp:6:
2025-08-26T21:51:19.4871875Z /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]
2025-08-26T21:51:19.4872900Z  1478 | #pragma unroll
2025-08-26T21:51:19.4873217Z       | 
2025-08-26T21:51:19.4873791Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4,
2025-08-26T21:51:19.4874533Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530,
2025-08-26T21:51:19.4875282Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-26T21:51:19.4876172Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-26T21:51:19.4877015Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-26T21:51:19.4877915Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-26T21:51:19.4878700Z                  from rng_extension.cpp:6:
2025-08-26T21:51:19.4879713Z /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]
2025-08-26T21:51:19.4880690Z    59 | #pragma unroll
2025-08-26T21:51:19.4880978Z       | 
2025-08-26T21:51:19.4881965Z /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]
2025-08-26T21:51:19.4882817Z    72 | #pragma unroll
2025-08-26T21:51:19.4883124Z       | 
2025-08-26T21:51:19.4884183Z /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]
2025-08-26T21:51:19.4885031Z    87 | #pragma unroll
2025-08-26T21:51:19.4885213Z       | 
2025-08-26T21:51:19.4885592Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531,
2025-08-26T21:51:19.4886209Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-26T21:51:19.4886927Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-26T21:51:19.4887464Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-26T21:51:19.4888267Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-26T21:51:19.4888866Z                  from rng_extension.cpp:6:
2025-08-26T21:51:19.4889639Z /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]
2025-08-26T21:51:19.4890325Z   160 | #pragma unroll
2025-08-26T21:51:19.4890604Z       | 
2025-08-26T21:51:19.4890965Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.4891532Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.4892145Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.4892657Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.4893152Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.4893704Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.4894369Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.4894955Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.4895595Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.4896217Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.4896856Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.4897413Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.4897781Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.4898562Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.4899628Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.4900768Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.4902110Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.4903357Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.4904730Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.4908982Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.4916272Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.4920937Z /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]
2025-08-26T21:51:19.4921662Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.4921937Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.4926162Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.4930587Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.4931457Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.4931782Z       |        ^~~~~~~~
2025-08-26T21:51:19.4932204Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.4932872Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.4933510Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.4934057Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.4934566Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.4935206Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.4935910Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.4936655Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.4937414Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.4938150Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.4938816Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.4939444Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.4940003Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.4940372Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.4940940Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.4941439Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.4941683Z       |                     ^~~~
2025-08-26T21:51:19.4942067Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.4942641Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.4943631Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.4944184Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.4944691Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.4945239Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.4945869Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.4946572Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.4947168Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.4947882Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.4948537Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.4949153Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.4949532Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.4950238Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.4951370Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.4952517Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.4953755Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.4955003Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.4956435Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.4960491Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.4967523Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.4971444Z /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]
2025-08-26T21:51:19.4972112Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.4972374Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.4976697Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.4981113Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.4982418Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.4982890Z       |        ^~~~~~~~
2025-08-26T21:51:19.4983576Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.4984255Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.4984852Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.4985413Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.4985924Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.4986482Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.4987175Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.4987925Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.4988676Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.4989483Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.4990154Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.4990810Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.4991366Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.4991796Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.4992387Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.4992883Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.4993120Z       |                     ^~~~
2025-08-26T21:51:19.4993513Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.4994127Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.4994668Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.4995196Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.4995691Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.4996372Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.4996984Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.4997574Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.4998157Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.4998782Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.4999412Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.4999976Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5000350Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5001037Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5002093Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5003239Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5004406Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5005651Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5007053Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5010972Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5017644Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5021378Z /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]
2025-08-26T21:51:19.5022003Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5022260Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5026235Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5030433Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5031287Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5031603Z       |        ^~~~~~~~
2025-08-26T21:51:19.5032023Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5032701Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5033310Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5033894Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5034407Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5034960Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5035660Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5036491Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5037256Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5037998Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5038675Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5039295Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5039856Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5040232Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5040791Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5041289Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5041520Z       |                     ^~~~
2025-08-26T21:51:19.5041912Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5042481Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5043369Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5043911Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5044405Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5044959Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5045563Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5046231Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5046832Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5047495Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5048131Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5048738Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5049122Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5049816Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5050876Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5052077Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5053251Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5054495Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5055850Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5059711Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5066313Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5070084Z /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]
2025-08-26T21:51:19.5070719Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5070983Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5074909Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5079182Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5080031Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5080316Z       |        ^~~~~~~~
2025-08-26T21:51:19.5080738Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5081404Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5082004Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5082548Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5083063Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5083626Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5084327Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5085082Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5085882Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5086624Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5087351Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5087973Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5088585Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5088957Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5089507Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5090021Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5090269Z       |                     ^~~~
2025-08-26T21:51:19.5090669Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5091284Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5091819Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5092343Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5092841Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5093396Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5094008Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5094595Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5095191Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5095810Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5096450Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5097013Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5097377Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5098048Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5099107Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5100249Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5101426Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5102673Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5104070Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5108187Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5115209Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5119207Z /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]
2025-08-26T21:51:19.5119840Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5120111Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5124332Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5128674Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5129566Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5129854Z       |        ^~~~~~~~
2025-08-26T21:51:19.5130280Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5130992Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5131586Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5132135Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5132654Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5133219Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5133936Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5134694Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5135443Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5136180Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5136854Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5137478Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5138037Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5138406Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5138963Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5139455Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5139691Z       |                     ^~~~
2025-08-26T21:51:19.5140081Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5140644Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5141184Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5141706Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5142203Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5143011Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5143694Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5144353Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5144936Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5145602Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5146237Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5146798Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5147172Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5147923Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5148983Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5150131Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5151310Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5152552Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5153906Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5158161Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5165234Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5169221Z /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]
2025-08-26T21:51:19.5169852Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5170120Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5174250Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5178574Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5179431Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5179723Z       |        ^~~~~~~~
2025-08-26T21:51:19.5180148Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5180804Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5181408Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5181968Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5182484Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5183086Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5183790Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5184569Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5185319Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5186090Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5186752Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5187375Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5187965Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5188347Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5188914Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5189408Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5189647Z       |                     ^~~~
2025-08-26T21:51:19.5190035Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5190603Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5191141Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5191673Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5192173Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5192723Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5193337Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5193929Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5194526Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5195147Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5195851Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5196421Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5196791Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5197458Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5198514Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5199646Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5200867Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5202157Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5203511Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5207406Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5214017Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5217771Z /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]
2025-08-26T21:51:19.5218421Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5218695Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5222715Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5226897Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5227833Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5228117Z       |        ^~~~~~~~
2025-08-26T21:51:19.5228560Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5229222Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5229820Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5230366Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5230867Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5231427Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5232124Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5232880Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5233634Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5234725Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5235879Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5236519Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5237099Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5237470Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5238066Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5238554Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5238801Z       |                     ^~~~
2025-08-26T21:51:19.5239189Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5239759Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5240302Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5240890Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5241487Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5242485Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5243404Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5244089Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5244668Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5245290Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5245932Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5246555Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5246943Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5247663Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5248733Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5249889Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5251067Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5252318Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5253677Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5257531Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5264198Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5268018Z /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]
2025-08-26T21:51:19.5268639Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5268907Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5272838Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5277124Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5277984Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5278267Z       |        ^~~~~~~~
2025-08-26T21:51:19.5278688Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5279352Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5279940Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5280488Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5280995Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5281599Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5282308Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5283099Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5283851Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5284624Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5285290Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5285914Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5286511Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5286886Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5287452Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5287946Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5288190Z       |                     ^~~~
2025-08-26T21:51:19.5288585Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5289149Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5289710Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5290237Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5290733Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5291296Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5291904Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5292494Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5293077Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5293700Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5294340Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5294903Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5295267Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5295938Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5296995Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5298184Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5299386Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5300674Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5302091Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5305947Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5312566Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5316386Z /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]
2025-08-26T21:51:19.5317012Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5317281Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5321257Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5325424Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5326315Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5326601Z       |        ^~~~~~~~
2025-08-26T21:51:19.5327022Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5327691Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5328290Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5328836Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5329354Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5329907Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5330611Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5331363Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5332122Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5332859Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5333530Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5334148Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5334707Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5335079Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5335637Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5336136Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5336369Z       |                     ^~~~
2025-08-26T21:51:19.5336761Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5337330Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5337929Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5338462Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5339001Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5339564Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5340173Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5340795Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5341380Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5341996Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5342753Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5343595Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5343973Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5344664Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5345719Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5346859Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5348049Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5349295Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5350656Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5354517Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5361281Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5365135Z /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]
2025-08-26T21:51:19.5365754Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5366020Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5369940Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5374071Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5374917Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5375204Z       |        ^~~~~~~~
2025-08-26T21:51:19.5375625Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5376293Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5376897Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5377439Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5378003Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5378568Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5379320Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5380079Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5380867Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5381597Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5382268Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5382928Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5383487Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5383862Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5384416Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5384931Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5385172Z       |                     ^~~~
2025-08-26T21:51:19.5385562Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5386131Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5386675Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5387202Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5387700Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5388259Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5388879Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5389458Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5390042Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5390670Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5391315Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5391881Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5392246Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5392920Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5393983Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5395167Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5396472Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5397734Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5399136Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5402993Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5421336Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5425185Z /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]
2025-08-26T21:51:19.5425850Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5426218Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5430240Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5434441Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5435295Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5435599Z       |        ^~~~~~~~
2025-08-26T21:51:19.5436117Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5436800Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5437401Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5437942Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5438467Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5439033Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5439735Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5440494Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5441249Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5441982Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5442700Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5443630Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5444284Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5444666Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5445241Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5445802Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5446047Z       |                     ^~~~
2025-08-26T21:51:19.5446441Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5447009Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5447556Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5448148Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5448658Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5449219Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5449838Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5450422Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5451016Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5451639Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5452280Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5452835Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5453207Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5453894Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5454952Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5456093Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5457291Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5458525Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5459878Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5463813Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5470491Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5474242Z /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]
2025-08-26T21:51:19.5474877Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5475143Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5479145Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5483331Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5484235Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5484522Z       |        ^~~~~~~~
2025-08-26T21:51:19.5484942Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5485664Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5486415Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5486973Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5487492Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5488099Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5488800Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5489555Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5490315Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5491052Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5491726Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5492348Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5492908Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5493284Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5493864Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5494363Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5494612Z       |                     ^~~~
2025-08-26T21:51:19.5495010Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5495586Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5496130Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5496647Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5497148Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5497711Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5498329Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5498919Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5499550Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5500186Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5500861Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5501431Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5501801Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5502519Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5503572Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5504711Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5505941Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5507188Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5508563Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5512649Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5519839Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5523809Z /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]
2025-08-26T21:51:19.5524438Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5524709Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5528852Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5533229Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5534088Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5534368Z       |        ^~~~~~~~
2025-08-26T21:51:19.5534789Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5535455Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5536050Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5536599Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5537107Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5537682Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5538384Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5539140Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5539941Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5540687Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5541386Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5542012Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5542622Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5543251Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5543845Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5544342Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5544591Z       |                     ^~~~
2025-08-26T21:51:19.5544984Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5545642Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5546197Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5546729Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5547234Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5547790Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5548399Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5548984Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5549562Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5550178Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5550808Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5551363Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5551732Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5552403Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5553457Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5554595Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5555853Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5557116Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5558543Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5562793Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5569987Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5573963Z /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]
2025-08-26T21:51:19.5574582Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5574838Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5579100Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5583505Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5584344Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5584630Z       |        ^~~~~~~~
2025-08-26T21:51:19.5585053Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5585759Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5586350Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5586889Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5587397Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5587951Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5588662Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5589419Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5590173Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5590905Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5591572Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5592193Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5592756Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5593130Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5593686Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5594180Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5594419Z       |                     ^~~~
2025-08-26T21:51:19.5594802Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5595375Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5595980Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5596501Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5597039Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5597594Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5598236Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5598823Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5599435Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5600051Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5600678Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5601235Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5601643Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5602312Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5603367Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5604524Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5605708Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5606961Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5608318Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5612456Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5619646Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5623773Z /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]
2025-08-26T21:51:19.5624391Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5624660Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5628879Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5633255Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5634107Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5634397Z       |        ^~~~~~~~
2025-08-26T21:51:19.5634814Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5635477Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5636181Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5636730Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5637315Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5637877Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5638602Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5639359Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5640152Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5640894Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5641565Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5642229Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5642786Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5643411Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5643996Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5644503Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5644737Z       |                     ^~~~
2025-08-26T21:51:19.5645128Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5645717Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5646263Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5646790Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5647281Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5647836Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5648452Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5649039Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5649623Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5650246Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5650878Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5651439Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5651808Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5652489Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5653544Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5654774Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5656024Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5657267Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5658678Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5662825Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5670040Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5674016Z /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]
2025-08-26T21:51:19.5674641Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5674906Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5679285Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5683736Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5684595Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5684879Z       |        ^~~~~~~~
2025-08-26T21:51:19.5685290Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5685958Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5686557Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5687111Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5687622Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5688173Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5688880Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5689631Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5690391Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5691132Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5691801Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5692434Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5693004Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5693380Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5693944Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5694487Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5694726Z       |                     ^~~~
2025-08-26T21:51:19.5695115Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5695739Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5696282Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5696841Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5697332Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5697900Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5698515Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5699157Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5699739Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5700347Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5700980Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5701535Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5701903Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5702570Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5703633Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5704767Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5705953Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5707196Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5708551Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5712779Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5719977Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5724000Z /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]
2025-08-26T21:51:19.5724621Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5724883Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5729088Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5733450Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5734342Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5734626Z       |        ^~~~~~~~
2025-08-26T21:51:19.5735041Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5735752Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5736348Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5737015Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5737620Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5738176Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5738875Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5739684Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5740444Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5741185Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5741852Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5742477Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5743299Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5743687Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5744276Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5744781Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5745022Z       |                     ^~~~
2025-08-26T21:51:19.5745413Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5745991Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5746532Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5747058Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5747554Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5748116Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5748734Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5749322Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5749929Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5750548Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5751258Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5751831Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5752203Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5752952Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5754019Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5755222Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5756486Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5757819Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5759178Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5763327Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5770481Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5774500Z /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]
2025-08-26T21:51:19.5775130Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5775458Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5779667Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5784095Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5784950Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5785240Z       |        ^~~~~~~~
2025-08-26T21:51:19.5785659Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5786325Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5786926Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5787473Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5787979Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5788548Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5789247Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5790002Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5790758Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5791496Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5792204Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5792826Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5793422Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5793804Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5794365Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5794899Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5795136Z       |                     ^~~~
2025-08-26T21:51:19.5795526Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5796161Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5796756Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5797297Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5797788Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5798349Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5798969Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5799558Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5800143Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5800758Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5801396Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5801957Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5802332Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5803006Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5804061Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5805206Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5806396Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5807644Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5809005Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5813219Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5820413Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5824391Z /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]
2025-08-26T21:51:19.5825009Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5825271Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5829536Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5833912Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5834800Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5835084Z       |        ^~~~~~~~
2025-08-26T21:51:19.5835493Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5836231Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5836866Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5837413Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5837923Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5838491Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5839186Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5839935Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5840694Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5841432Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5842100Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5842718Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5843548Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5843919Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5844492Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5844991Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5845229Z       |                     ^~~~
2025-08-26T21:51:19.5845619Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5846193Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5846738Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5847258Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5847757Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5848315Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5849020Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5849634Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5850299Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5850916Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5851605Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5852170Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5852542Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5853224Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5854342Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5855478Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5856658Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5857909Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5859279Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5863641Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5870901Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5874941Z /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]
2025-08-26T21:51:19.5875603Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5875987Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5880209Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5884589Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5885446Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5885726Z       |        ^~~~~~~~
2025-08-26T21:51:19.5886154Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5886827Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5887424Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5887973Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5888475Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5889036Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5889780Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5890572Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5891337Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5892113Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5892774Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5893395Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5893960Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5894372Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5894934Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5895421Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5895666Z       |                     ^~~~
2025-08-26T21:51:19.5896057Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5896632Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5897171Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5897690Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5898194Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5898752Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5899359Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5899952Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5900544Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5901165Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5901805Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5902366Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5902732Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5903392Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5904442Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5905583Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5906864Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5908162Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5909520Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5913709Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5920941Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5924924Z /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]
2025-08-26T21:51:19.5925543Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5925807Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5930105Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5935258Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5936105Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5936387Z       |        ^~~~~~~~
2025-08-26T21:51:19.5936812Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5937493Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5938090Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5938641Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5939148Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5939707Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5940402Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5941162Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5941918Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5942651Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5943596Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5944235Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5944795Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5945175Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5945744Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5946244Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5946488Z       |                     ^~~~
2025-08-26T21:51:19.5946879Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5947530Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5948075Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5948661Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5949168Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5949776Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5950394Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5950979Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5951561Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5952238Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5952891Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5953452Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5953826Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5954497Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5955552Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.5956782Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5957962Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.5959209Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.5960566Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.5964462Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.5971086Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.5974924Z /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]
2025-08-26T21:51:19.5975551Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.5975817Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.5979744Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.5983899Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.5984753Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.5985033Z       |        ^~~~~~~~
2025-08-26T21:51:19.5985455Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.5986114Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.5986705Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.5987301Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.5987975Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.5988595Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.5989298Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.5990082Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.5990836Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.5991575Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.5992297Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.5992922Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.5993478Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5993862Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5994435Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.5994931Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.5995172Z       |                     ^~~~
2025-08-26T21:51:19.5995562Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.5996208Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.5996450Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.5996678Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.5996882Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.5997167Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.5997424Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.5997689Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.5997939Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.5998236Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.5998504Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.5998720Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.5998803Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.5999325Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.5999964Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.6000625Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.6001252Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.6001985Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.6002732Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.6006287Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.6010334Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.6010889Z /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]
2025-08-26T21:51:19.6011004Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.6011126Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.6015211Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.6016137Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.6016289Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.6016353Z       |        ^~~~~~~~
2025-08-26T21:51:19.6016676Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.6016970Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.6017213Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.6017446Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.6017646Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.6017944Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.6018290Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.6018628Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.6018977Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.6019297Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.6019573Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.6019850Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.6020063Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.6020147Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.6020597Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.6020698Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.6020770Z       |                     ^~~~
2025-08-26T21:51:19.6021066Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.6021299Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.6021564Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.6021778Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.6021989Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.6022266Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.6022561Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.6022816Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.6023068Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.6023366Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.6023633Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.6023850Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.6023930Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.6024453Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.6025041Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.6025665Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.6026288Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.6026991Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.6027730Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.6031310Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.6035425Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.6036085Z /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]
2025-08-26T21:51:19.6036212Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.6036295Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.6040343Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.6041258Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.6041406Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.6041475Z       |        ^~~~~~~~
2025-08-26T21:51:19.6041822Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.6042102Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.6042385Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.6042615Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.6043079Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.6043510Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.6043962Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.6044302Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.6044654Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.6044977Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.6045258Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.6045535Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.6045752Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.6045846Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.6046292Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.6046395Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.6046475Z       |                     ^~~~
2025-08-26T21:51:19.6046746Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.6046985Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.6047212Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.6047435Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.6047639Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.6047916Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.6048177Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.6048429Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.6048683Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.6049034Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.6049313Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.6049570Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.6049654Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.6050186Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.6050828Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.6051456Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.6052115Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.6052822Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.6053564Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.6057080Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.6061183Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.6061745Z /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]
2025-08-26T21:51:19.6061894Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.6061977Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.6066052Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.6066985Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.6067129Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.6067201Z       |        ^~~~~~~~
2025-08-26T21:51:19.6067518Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.6067801Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.6068041Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.6068281Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.6068482Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.6068764Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.6069118Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.6069454Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.6069804Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.6070161Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.6070445Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.6070765Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.6070980Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.6071104Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.6071508Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.6071617Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.6071684Z       |                     ^~~~
2025-08-26T21:51:19.6071952Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.6072223Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.6072454Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.6072678Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.6072899Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.6073180Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.6073438Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.6073699Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.6073952Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.6074242Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.6074514Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.6074726Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.6074812Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.6075326Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.6075988Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.6076618Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.6077252Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.6077966Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.6078757Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.6082019Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.6085842Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.6086400Z /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]
2025-08-26T21:51:19.6086515Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.6086604Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.6090395Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.6091301Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.6091447Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.6091552Z       |        ^~~~~~~~
2025-08-26T21:51:19.6091866Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.6092152Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.6092390Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.6092665Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.6092868Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.6093149Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.6093503Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.6093835Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.6094187Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.6094503Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.6094786Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.6095055Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.6095273Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.6095357Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.6095758Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.6095862Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.6095938Z       |                     ^~~~
2025-08-26T21:51:19.6096206Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:51:19.6096440Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:51:19.6096669Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:51:19.6096901Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:51:19.6097105Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:51:19.6097385Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:51:19.6097644Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:51:19.6097943Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:51:19.6098200Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:51:19.6098523Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:51:19.6098798Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:51:19.6099043Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.6099128Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.6099645Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:51:19.6100239Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:51:19.6100897Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.6101522Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:51:19.6102220Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:51:19.6102959Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:51:19.6106789Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:51:19.6110973Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:51:19.6111572Z /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]
2025-08-26T21:51:19.6111691Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:51:19.6111816Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:51:19.6115966Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:51:19.6116848Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:51:19.6116997Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:51:19.6117061Z       |        ^~~~~~~~
2025-08-26T21:51:19.6117383Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:51:19.6117666Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:51:19.6117905Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:51:19.6118139Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:51:19.6118342Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:51:19.6118628Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:51:19.6119015Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:51:19.6119367Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:51:19.6119832Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:51:19.6120148Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:51:19.6120463Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:51:19.6120731Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:51:19.6120951Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:51:19.6121037Z                  from rng_extension.cpp:1:
2025-08-26T21:51:19.6121482Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:51:19.6121582Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:51:19.6121654Z       |                     ^~~~
2025-08-26T21:51:19.6122980Z 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
2025-08-26T21:51:19.9675935Z building 'torch_test_cpp_extension.cuda' extension
2025-08-26T21:51:19.9680162Z 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/usr/local/cuda/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 -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -std=c++17
2025-08-26T21:51:20.9107019Z /usr/local/cuda/bin/nvcc -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/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cuda_extension_kernel.cu -o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:51:35.0437976Z /usr/local/cuda/bin/nvcc -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/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cuda_extension_kernel2.cu -o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel2.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:51:49.2347490Z 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/cuda_extension_kernel.o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel2.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:51:49.7382226Z building 'torch_test_cpp_extension.torch_library' extension
2025-08-26T21:51:49.7385962Z /usr/local/cuda/bin/nvcc -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/usr/local/cuda/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__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=torch_library -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:52:20.1732165Z 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/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:52:20.5148882Z building 'torch_test_cpp_extension.cublas_extension' extension
2025-08-26T21:52:20.5152202Z 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/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cublas_extension.cpp -o build/temp.linux-x86_64-cpython-310/cublas_extension.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cublas_extension -std=c++17
2025-08-26T21:52:21.4384057Z 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/cublas_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lcublas -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cublas_extension.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:52:21.6836300Z building 'torch_test_cpp_extension.cusolver_extension' extension
2025-08-26T21:52:21.6839492Z 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/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cusolver_extension.cpp -o build/temp.linux-x86_64-cpython-310/cusolver_extension.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cusolver_extension -std=c++17
2025-08-26T21:52:22.6194181Z 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/cusolver_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lcusolver -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cusolver_extension.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:52:22.8609499Z running install_lib
2025-08-26T21:52:22.8689675Z 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
2025-08-26T21:52:22.8791335Z 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
2025-08-26T21:52:22.8894269Z 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
2025-08-26T21:52:22.9000775Z 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
2025-08-26T21:52:22.9092736Z 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
2025-08-26T21:52:22.9096674Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cublas_extension.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension
2025-08-26T21:52:22.9100287Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cusolver_extension.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension
2025-08-26T21:52:22.9106667Z running install_egg_info
2025-08-26T21:52:22.9271625Z running egg_info
2025-08-26T21:52:22.9337635Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-26T21:52:22.9341183Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-26T21:52:22.9343715Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-26T21:52:22.9346324Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-26T21:52:22.9418584Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T21:52:22.9428152Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T21:52:22.9429985Z 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)
2025-08-26T21:52:22.9432149Z 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
2025-08-26T21:52:22.9440705Z running install_scripts
2025-08-26T21:52:26.0257476Z /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.
2025-08-26T21:52:26.0258846Z   import pkg_resources
2025-08-26T21:52:26.0664151Z 
2025-08-26T21:52:26.0664313Z Running tests...
2025-08-26T21:52:26.0664746Z ----------------------------------------------------------------------
2025-08-26T21:52:26.4117110Z .
2025-08-26T21:52:26.4117776Z ----------------------------------------------------------------------
2025-08-26T21:52:26.4118173Z Ran 1 test in 0.345s
2025-08-26T21:52:26.4118332Z 
2025-08-26T21:52:26.4118407Z OK
2025-08-26T21:52:26.4118509Z 
2025-08-26T21:52:26.4118619Z Generating XML reports...
2025-08-26T21:52:27.1433780Z Running test_autoload_enable 1/1 ... [2025-08-26 21:52:27.142938]
2025-08-26T21:52:29.6344840Z /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.
2025-08-26T21:52:29.6346308Z   import pkg_resources
2025-08-26T21:52:29.7072768Z running install
2025-08-26T21:52:29.7074818Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T21:52:29.7075527Z !!
2025-08-26T21:52:29.7075636Z 
2025-08-26T21:52:29.7075853Z         ********************************************************************************
2025-08-26T21:52:29.7076373Z         Please avoid running ``setup.py`` directly.
2025-08-26T21:52:29.7076734Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T21:52:29.7077083Z         standards-based tools.
2025-08-26T21:52:29.7077253Z 
2025-08-26T21:52:29.7077453Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-26T21:52:29.7077868Z         or your builds will no longer be supported.
2025-08-26T21:52:29.7078078Z 
2025-08-26T21:52:29.7078342Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T21:52:29.7078802Z         ********************************************************************************
2025-08-26T21:52:29.7079009Z 
2025-08-26T21:52:29.7079081Z !!
2025-08-26T21:52:29.7079273Z   self.initialize_options()
2025-08-26T21:52:29.7182589Z running build
2025-08-26T21:52:29.7182808Z running build_py
2025-08-26T21:52:29.7253994Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-26T21:52:29.7256504Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-26T21:52:29.7260725Z running build_ext
2025-08-26T21:52:29.7295347Z building 'torch_test_cpp_extension.cpp' extension
2025-08-26T21:52:29.7296455Z creating build/temp.linux-x86_64-cpython-310
2025-08-26T21:52:29.7300501Z 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 -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-26T21:52:30.6263450Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:12,
2025-08-26T21:52:30.6264347Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2025-08-26T21:52:30.6265086Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:9,
2025-08-26T21:52:30.6265565Z                  from extension.cpp:1:
2025-08-26T21:52:30.6266795Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2025-08-26T21:52:30.6267515Z extension.cpp:45:53:   required from here
2025-08-26T21:52:30.6268990Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:2041:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2025-08-26T21:52:30.6270085Z  2041 | class class_ : public detail::generic_type {
2025-08-26T21:52:30.6270393Z       |       ^~~~~~
2025-08-26T21:52:30.6271895Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< <template-parameter-1-1>, <template-parameter-1-2> >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’:
2025-08-26T21:52:30.6273089Z extension.cpp:45:53:   required from here
2025-08-26T21:52:30.6274669Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:2139:28: warning: ‘pybind11::class_<MatrixMultiplier>::class_<>(pybind11::handle, const char*)::<lambda(pybind11::detail::internals&)>’ declared with greater visibility than the type of its field ‘pybind11::class_<MatrixMultiplier>::class_<>(pybind11::handle, const char*)::<lambda(pybind11::detail::internals&)>::<record capture>’ [-Wattributes]
2025-08-26T21:52:30.6276202Z  2139 |             with_internals([&](internals &internals) {
2025-08-26T21:52:30.6276469Z       |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:30.6276835Z  2140 |                 auto &instances = record.module_local ? get_local_internals().registered_types_cpp
2025-08-26T21:52:30.6277240Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:30.6277676Z  2141 |                                                       : internals.registered_types_cpp;
2025-08-26T21:52:30.6277976Z       |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:30.6278356Z  2142 |                 instances[std::type_index(typeid(type_alias))]
2025-08-26T21:52:30.6278732Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:30.6279014Z  2143 |                     = instances[std::type_index(typeid(type))];
2025-08-26T21:52:30.6279291Z       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:30.6279527Z  2144 |             });
2025-08-26T21:52:30.6279718Z       |             ~               
2025-08-26T21:52:30.6281180Z 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
2025-08-26T21:52:31.1114658Z building 'torch_test_cpp_extension.maia' extension
2025-08-26T21:52:31.1117650Z 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 -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-26T21:52:31.9856218Z 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
2025-08-26T21:52:32.4311548Z building 'torch_test_cpp_extension.rng' extension
2025-08-26T21:52:32.4314861Z 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 -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-26T21:52:33.4772378Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-26T21:52:33.4773449Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-26T21:52:33.4774333Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-26T21:52:33.4775532Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-26T21:52:33.4776131Z                  from rng_extension.cpp:6:
2025-08-26T21:52:33.4777220Z /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]
2025-08-26T21:52:33.4778063Z  1478 | #pragma unroll
2025-08-26T21:52:33.4778345Z       | 
2025-08-26T21:52:33.4778940Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4,
2025-08-26T21:52:33.4780050Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530,
2025-08-26T21:52:33.4781020Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-26T21:52:33.4782018Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-26T21:52:33.4782969Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-26T21:52:33.4784017Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-26T21:52:33.4784808Z                  from rng_extension.cpp:6:
2025-08-26T21:52:33.4785966Z /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]
2025-08-26T21:52:33.4786881Z    59 | #pragma unroll
2025-08-26T21:52:33.4787179Z       | 
2025-08-26T21:52:33.4788182Z /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]
2025-08-26T21:52:33.4788962Z    72 | #pragma unroll
2025-08-26T21:52:33.4789257Z       | 
2025-08-26T21:52:33.4790233Z /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]
2025-08-26T21:52:33.4790877Z    87 | #pragma unroll
2025-08-26T21:52:33.4791041Z       | 
2025-08-26T21:52:33.4791421Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531,
2025-08-26T21:52:33.4792179Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-26T21:52:33.4793001Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-26T21:52:33.4793538Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-26T21:52:33.4794145Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-26T21:52:33.4795094Z                  from rng_extension.cpp:6:
2025-08-26T21:52:33.4796030Z /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]
2025-08-26T21:52:33.4796583Z   160 | #pragma unroll
2025-08-26T21:52:33.4796860Z       | 
2025-08-26T21:52:33.4797214Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.4797788Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.4798402Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.4798924Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.4799421Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.4800008Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.4800690Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.4801293Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.4801873Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.4802492Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.4803117Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.4803683Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.4804057Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.4804822Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.4805880Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.4807267Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.4808483Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.4809735Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.4811093Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.4815466Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.4822737Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.4826788Z /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]
2025-08-26T21:52:33.4827436Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.4827709Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.4831955Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.4836498Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.4837367Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.4837690Z       |        ^~~~~~~~
2025-08-26T21:52:33.4838121Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.4838825Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.4839417Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.4839970Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.4840481Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.4841091Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.4841793Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.4842539Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.4843767Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.4844526Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.4845204Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.4845837Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.4846400Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.4846772Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.4847373Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.4847886Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.4848126Z       |                     ^~~~
2025-08-26T21:52:33.4848509Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.4849079Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.4849624Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.4850157Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.4850654Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.4851208Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.4851823Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.4852409Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.4853004Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.4853716Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.4854362Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.4854985Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.4855373Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.4856109Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.4857154Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.4858296Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.4859527Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.4860764Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.4862105Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.4866170Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.4873109Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.4877153Z /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]
2025-08-26T21:52:33.4877831Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.4878102Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.4882245Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.4886614Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.4887470Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.4887763Z       |        ^~~~~~~~
2025-08-26T21:52:33.4888179Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.4888851Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.4889445Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.4889998Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.4890504Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.4891062Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.4891756Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.4892520Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.4893275Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.4894055Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.4894728Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.4895389Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.4895943Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.4896351Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.4896909Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.4897401Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.4897636Z       |                     ^~~~
2025-08-26T21:52:33.4898029Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.4898642Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.4899204Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.4899729Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.4900223Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.4900780Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.4901393Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.4901983Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.4902569Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.4903192Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.4903824Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.4904388Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.4904761Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.4905434Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.4906480Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.4907624Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.4908781Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.4914035Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.4915503Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.4919543Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.4926127Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.4929867Z /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]
2025-08-26T21:52:33.4930526Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.4930804Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.4934841Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.4939108Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.4939981Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.4940281Z       |        ^~~~~~~~
2025-08-26T21:52:33.4940708Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.4941378Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.4941981Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.4942534Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.4943379Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.4943952Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.4944668Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.4945426Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.4946185Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.4946926Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.4947598Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.4948222Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.4948785Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.4949159Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.4949741Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.4950244Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.4950481Z       |                     ^~~~
2025-08-26T21:52:33.4950967Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.4951554Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.4952149Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.4952679Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.4953236Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.4953868Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.4954491Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.4955082Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.4955677Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.4956410Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.4957059Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.4957629Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.4958025Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.4958713Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.4959760Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.4960910Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.4962078Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.4963332Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.4964680Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.4968629Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.4975467Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.4979360Z /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]
2025-08-26T21:52:33.4979989Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.4980259Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.4984211Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.4988590Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.4989447Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.4989736Z       |        ^~~~~~~~
2025-08-26T21:52:33.4990171Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.4990839Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.4991492Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.4992040Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.4992601Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.4993168Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.4993911Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.4994724Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.4995473Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.4996295Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.4996978Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.4997603Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.4998170Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.4998547Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.4999106Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.4999604Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.4999852Z       |                     ^~~~
2025-08-26T21:52:33.5000242Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5000818Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5001366Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5001893Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5002400Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5002961Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5003575Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5004161Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5004746Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5005368Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5006010Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5006573Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5006944Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5007658Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5008708Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5009897Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5011072Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5012398Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5013747Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5017839Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5024725Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5028645Z /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]
2025-08-26T21:52:33.5029315Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5029583Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5033762Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5038227Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5039093Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5039381Z       |        ^~~~~~~~
2025-08-26T21:52:33.5039804Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5040472Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5041062Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5041610Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5042126Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5042685Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5043633Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5044392Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5045157Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5045899Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5046568Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5047198Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5047761Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5048128Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5048783Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5049292Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5049529Z       |                     ^~~~
2025-08-26T21:52:33.5049966Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5050538Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5051127Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5051709Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5052207Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5052771Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5053385Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5053980Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5054578Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5055207Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5055855Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5056422Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5056796Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5057469Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5058516Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5059661Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5060827Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5062074Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5063421Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5067726Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5075152Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5079656Z /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]
2025-08-26T21:52:33.5080309Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5080576Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5084737Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5089121Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5089984Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5090270Z       |        ^~~~~~~~
2025-08-26T21:52:33.5090725Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5091389Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5092020Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5092638Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5093151Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5093714Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5094414Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5095172Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5095934Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5096679Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5097356Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5097985Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5098544Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5098921Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5099486Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5099983Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5100231Z       |                     ^~~~
2025-08-26T21:52:33.5100634Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5101207Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5101747Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5102279Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5102773Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5103334Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5103955Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5104552Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5105143Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5105762Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5106442Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5107010Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5107411Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5108092Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5109192Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5110382Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5111553Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5112801Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5114153Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5118139Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5124688Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5128473Z /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]
2025-08-26T21:52:33.5129099Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5129356Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5133326Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5137499Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5138350Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5138631Z       |        ^~~~~~~~
2025-08-26T21:52:33.5139155Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5139820Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5140417Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5140969Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5141471Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5142034Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5142731Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5143754Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5144520Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5145266Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5145943Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5146653Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5147233Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5147608Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5148264Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5148762Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5149062Z       |                     ^~~~
2025-08-26T21:52:33.5149454Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5150083Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5150634Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5151168Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5151668Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5152233Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5152851Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5153445Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5154037Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5154660Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5155306Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5155944Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5156323Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5157003Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5158053Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5159227Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5160400Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5161645Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5162991Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5166923Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5173484Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5177211Z /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]
2025-08-26T21:52:33.5177834Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5178101Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5181996Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5186156Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5187025Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5187312Z       |        ^~~~~~~~
2025-08-26T21:52:33.5187769Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5188435Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5189056Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5189640Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5190152Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5190714Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5191419Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5192176Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5192932Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5193700Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5194367Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5194994Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5195558Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5196037Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5196600Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5197093Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5197340Z       |                     ^~~~
2025-08-26T21:52:33.5197723Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5198297Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5198842Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5199365Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5199860Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5200416Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5201023Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5201616Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5202207Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5202870Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5203520Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5204115Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5204494Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5205174Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5206260Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5207455Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5208620Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5209870Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5211211Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5215064Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5221592Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5225385Z /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]
2025-08-26T21:52:33.5226011Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5226311Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5230235Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5234401Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5235249Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5235535Z       |        ^~~~~~~~
2025-08-26T21:52:33.5236014Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5236682Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5237288Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5237840Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5238356Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5238911Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5239613Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5240372Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5241135Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5241879Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5242557Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5243494Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5244088Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5244520Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5245114Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5245678Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5245917Z       |                     ^~~~
2025-08-26T21:52:33.5246378Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5246955Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5247501Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5248030Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5248529Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5249089Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5249724Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5250326Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5250924Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5251554Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5252197Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5252770Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5253151Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5253830Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5254872Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5256017Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5257194Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5258439Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5259781Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5263710Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5270258Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5274000Z /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]
2025-08-26T21:52:33.5274616Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5274885Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5278873Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5283047Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5283907Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5284230Z       |        ^~~~~~~~
2025-08-26T21:52:33.5284652Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5285358Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5286007Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5286550Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5287065Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5287625Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5288338Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5289094Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5289854Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5290605Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5291277Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5291905Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5292469Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5292845Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5293402Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5293907Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5294153Z       |                     ^~~~
2025-08-26T21:52:33.5294542Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5295117Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5295660Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5296184Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5296703Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5297265Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5297884Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5298470Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5299054Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5299715Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5300362Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5300957Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5301329Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5302035Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5303119Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5304286Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5305468Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5306710Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5308055Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5311910Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5318491Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5322280Z /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]
2025-08-26T21:52:33.5335006Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5335339Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5339472Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5343938Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5344804Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5345087Z       |        ^~~~~~~~
2025-08-26T21:52:33.5345521Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5346191Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5346798Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5347363Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5347873Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5348432Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5349135Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5349886Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5350656Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5351400Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5352160Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5352792Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5353410Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5353795Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5354367Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5354919Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5355216Z       |                     ^~~~
2025-08-26T21:52:33.5355613Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5356266Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5356805Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5357315Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5357812Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5358385Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5359001Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5359582Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5360166Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5360784Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5361420Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5361977Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5362342Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5363046Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5364133Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5365279Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5366444Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5367683Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5369032Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5372942Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5379518Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5383258Z /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]
2025-08-26T21:52:33.5383903Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5384167Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5388092Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5392259Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5393175Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5393463Z       |        ^~~~~~~~
2025-08-26T21:52:33.5393881Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5394593Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5395217Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5395862Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5396397Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5396957Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5397652Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5398407Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5399174Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5399932Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5400604Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5401231Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5401794Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5402168Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5402738Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5403236Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5403479Z       |                     ^~~~
2025-08-26T21:52:33.5403865Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5404443Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5404982Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5405513Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5406008Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5406559Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5407174Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5407765Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5408392Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5409017Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5409710Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5410280Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5410684Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5411355Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5412450Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5413600Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5414794Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5416041Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5417385Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5421445Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5428405Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5432360Z /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]
2025-08-26T21:52:33.5433018Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5433279Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5437508Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5441855Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5442716Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5443283Z       |        ^~~~~~~~
2025-08-26T21:52:33.5443726Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5444397Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5444997Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5445545Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5446054Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5446603Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5447305Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5448061Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5448912Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5449661Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5450381Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5451000Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5451606Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5452034Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5452621Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5453127Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5453367Z       |                     ^~~~
2025-08-26T21:52:33.5453765Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5454342Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5454889Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5455413Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5455910Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5456471Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5457085Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5457676Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5458265Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5458885Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5459527Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5460092Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5460467Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5461156Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5462205Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5463334Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5464505Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5465754Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5467133Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5471307Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5478454Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5482425Z /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]
2025-08-26T21:52:33.5483043Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5483297Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5487601Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5492236Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5493163Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5493448Z       |        ^~~~~~~~
2025-08-26T21:52:33.5493876Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5494543Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5495129Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5495668Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5496174Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5496726Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5497419Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5498163Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5498915Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5499645Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5500302Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5500922Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5501475Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5501852Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5502409Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5502909Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5503147Z       |                     ^~~~
2025-08-26T21:52:33.5503538Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5504110Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5504653Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5505168Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5505704Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5506274Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5506909Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5507492Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5508104Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5508760Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5509395Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5509955Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5510328Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5511002Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5512051Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5513187Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5514362Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5515602Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5517012Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5521159Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5528243Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5532276Z /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]
2025-08-26T21:52:33.5532900Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5533159Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5537391Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5541897Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5542750Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5543255Z       |        ^~~~~~~~
2025-08-26T21:52:33.5543681Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5544350Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5544946Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5545490Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5546094Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5546655Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5547410Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5548170Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5548993Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5549804Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5550474Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5551098Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5551663Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5552040Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5552616Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5553113Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5553367Z       |                     ^~~~
2025-08-26T21:52:33.5553768Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5554342Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5554882Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5555398Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5555960Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5556520Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5557142Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5557738Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5558329Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5558945Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5559584Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5560147Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5560515Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5561186Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5562243Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5563424Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5564633Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5565876Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5567298Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5571444Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5578458Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5582446Z /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]
2025-08-26T21:52:33.5583067Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5583332Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5587588Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5592003Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5592861Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5593145Z       |        ^~~~~~~~
2025-08-26T21:52:33.5593567Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5594257Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5594850Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5595393Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5595992Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5596554Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5597259Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5598019Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5598779Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5599512Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5600186Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5600809Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5601374Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5601755Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5602308Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5602869Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5603125Z       |                     ^~~~
2025-08-26T21:52:33.5603528Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5604132Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5604669Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5605231Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5606250Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5606810Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5607425Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5608006Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5608589Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5609206Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5609850Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5610412Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5610783Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5611458Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5612494Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5613638Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5614802Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5616047Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5617381Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5621595Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5628681Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5632696Z /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]
2025-08-26T21:52:33.5633323Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5633591Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5637851Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5642236Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5643642Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5643956Z       |        ^~~~~~~~
2025-08-26T21:52:33.5644391Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5645123Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5645731Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5646323Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5646883Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5647443Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5648144Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5648895Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5649642Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5650379Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5651051Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5651675Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5652241Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5652615Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5653209Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5653722Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5653970Z       |                     ^~~~
2025-08-26T21:52:33.5654364Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5654934Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5655477Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5656002Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5656502Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5657055Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5657663Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5658242Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5658828Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5659448Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5660136Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5660708Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5661080Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5661801Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5662862Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5664081Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5665250Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5666497Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5667832Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5671983Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5679158Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5683194Z /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]
2025-08-26T21:52:33.5683828Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5684128Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5688359Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5692753Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5693605Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5693882Z       |        ^~~~~~~~
2025-08-26T21:52:33.5694302Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5694969Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5695563Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5696112Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5696619Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5697175Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5697876Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5698631Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5699391Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5700123Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5700851Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5701482Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5702095Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5702485Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5703071Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5703599Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5703838Z       |                     ^~~~
2025-08-26T21:52:33.5704226Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5704796Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5705331Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5705859Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5706357Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5706913Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5707531Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5708111Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5708699Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5709324Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5709967Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5710529Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5710919Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5711588Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5712644Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5713784Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5714952Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5716265Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5717668Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5721846Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5728909Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5732871Z /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]
2025-08-26T21:52:33.5733494Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5733754Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5738034Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5742672Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5743821Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5744108Z       |        ^~~~~~~~
2025-08-26T21:52:33.5744526Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5745195Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5745785Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5746330Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5746839Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5747398Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5748099Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5748856Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5749606Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5750347Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5751014Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5751783Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5752532Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5752909Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5753496Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5754000Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5754240Z       |                     ^~~~
2025-08-26T21:52:33.5754628Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5755198Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5755803Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5756341Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5756842Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5757399Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5758136Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5758725Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5759371Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5759997Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5760709Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5761314Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5761685Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5762376Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5763678Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5764828Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5765995Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5767240Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5768574Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5772695Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5779806Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5783850Z /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]
2025-08-26T21:52:33.5784477Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5784746Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5788959Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5793318Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5794182Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5794466Z       |        ^~~~~~~~
2025-08-26T21:52:33.5794886Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5795554Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5796199Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5796753Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5797267Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5797871Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5798586Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5799384Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5800141Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5800913Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5801618Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5802247Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5802812Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5803194Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5803768Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5804264Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5804505Z       |                     ^~~~
2025-08-26T21:52:33.5804898Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5805467Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5806009Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5806536Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5807033Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5807593Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5808198Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5808793Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5809381Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5809999Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5810639Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5811192Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5811564Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5812232Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5813275Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5814433Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5815643Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5816928Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5818262Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5822480Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5829486Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5833444Z /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]
2025-08-26T21:52:33.5834067Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5834329Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5838654Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5843271Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5844125Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5844408Z       |        ^~~~~~~~
2025-08-26T21:52:33.5844831Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5845497Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5846086Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5846638Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5847147Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5847714Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5848416Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5849169Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5849924Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5850664Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5851333Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5851977Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5852541Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5852913Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5853473Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5853977Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5854228Z       |                     ^~~~
2025-08-26T21:52:33.5854610Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5855263Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5855811Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5856389Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5856900Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5857512Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5858171Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5858757Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5859347Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5859970Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5860611Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5861165Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5861536Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5862222Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5863267Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5864408Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5865574Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5866817Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5868159Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5872045Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5878659Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5882497Z /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]
2025-08-26T21:52:33.5883123Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5883385Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5887310Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5891417Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5892263Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5892547Z       |        ^~~~~~~~
2025-08-26T21:52:33.5892968Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5893644Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5894235Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5894824Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5895335Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5895928Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5896642Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5897431Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5898224Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5898959Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5899637Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5900259Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5900819Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5901200Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5901759Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5902250Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5902489Z       |                     ^~~~
2025-08-26T21:52:33.5902880Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5903449Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5903688Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5903914Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5904115Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5904403Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5904661Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5904921Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5905178Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5905468Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5905743Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5905958Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5906045Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5906606Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5907218Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5907894Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5908512Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5909258Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5909994Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5913491Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5917547Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5918161Z /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]
2025-08-26T21:52:33.5918271Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5918359Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5922409Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5923254Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5923406Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5923468Z       |        ^~~~~~~~
2025-08-26T21:52:33.5923781Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5924065Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5924303Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5924534Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5924734Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5925020Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5925367Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5925738Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5926093Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5926446Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5926745Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5927048Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5927300Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5927383Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5927790Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5927894Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5927963Z       |                     ^~~~
2025-08-26T21:52:33.5928234Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5928468Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5928706Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5928923Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5929127Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5929411Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5929671Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5929931Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5930180Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5930478Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5930750Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5930960Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5931048Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5931564Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5932163Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5932794Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5933422Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5934169Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5934945Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5938450Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5942463Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5943244Z /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]
2025-08-26T21:52:33.5943365Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5943457Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5947646Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5948596Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5948748Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5948813Z       |        ^~~~~~~~
2025-08-26T21:52:33.5949135Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5949419Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5949666Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5949904Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5950109Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5950396Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5950746Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5951089Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5951436Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5951763Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5952038Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5952309Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5952532Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5952614Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5953030Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5953129Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5953208Z       |                     ^~~~
2025-08-26T21:52:33.5953476Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5953720Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5953999Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5954219Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5954429Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5954738Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5954999Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5955291Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5955577Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5955925Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5956194Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5956425Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5956510Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5957032Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5957618Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5958247Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5958857Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5959559Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5960282Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5963849Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5967834Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5968438Z /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]
2025-08-26T21:52:33.5968571Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5968659Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5972718Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5973577Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5973721Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5973790Z       |        ^~~~~~~~
2025-08-26T21:52:33.5974108Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5974390Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5974672Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5974906Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5975142Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.5975422Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.5975767Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.5976170Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.5976530Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.5976856Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.5977135Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.5977412Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.5977627Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5977715Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5978120Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.5978217Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.5978289Z       |                     ^~~~
2025-08-26T21:52:33.5978552Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.5978792Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.5979023Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.5979238Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.5979450Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.5979730Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.5979997Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.5980252Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.5980508Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.5980799Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.5981068Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.5981294Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.5981377Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.5981895Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.5982528Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.5983199Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5984042Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.5984872Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.5985599Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.5988807Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.5992473Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.5993025Z /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]
2025-08-26T21:52:33.5993149Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.5993231Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.5997398Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.5998367Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.5998514Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.5998590Z       |        ^~~~~~~~
2025-08-26T21:52:33.5998910Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.5999190Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.5999437Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.5999668Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.5999882Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.6000161Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.6000519Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.6000854Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.6001201Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.6001526Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.6001806Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.6002084Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.6002301Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.6002392Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.6002798Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.6002899Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.6002974Z       |                     ^~~~
2025-08-26T21:52:33.6003272Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:52:33.6003517Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:52:33.6003778Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:52:33.6003999Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:52:33.6004249Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:52:33.6004558Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:52:33.6004822Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:52:33.6005077Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:52:33.6005333Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:52:33.6005622Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:52:33.6005897Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:52:33.6006112Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.6006194Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.6006725Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:52:33.6007306Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:52:33.6007931Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.6008536Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:52:33.6009246Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:52:33.6009964Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:52:33.6013529Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:52:33.6017474Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:52:33.6018106Z /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]
2025-08-26T21:52:33.6018222Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:52:33.6018304Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:52:33.6022365Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:52:33.6023226Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:52:33.6023373Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:52:33.6023440Z       |        ^~~~~~~~
2025-08-26T21:52:33.6023798Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:52:33.6024085Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:52:33.6024354Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:52:33.6024587Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:52:33.6024826Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:52:33.6025138Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:52:33.6025490Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:52:33.6025820Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:52:33.6026172Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:52:33.6026485Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:52:33.6026769Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:52:33.6027047Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:52:33.6027260Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:52:33.6027349Z                  from rng_extension.cpp:1:
2025-08-26T21:52:33.6027752Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:52:33.6027859Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:52:33.6027929Z       |                     ^~~~
2025-08-26T21:52:33.6029259Z 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
2025-08-26T21:52:33.9538581Z building 'torch_test_cpp_extension.cuda' extension
2025-08-26T21:52:33.9542599Z 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/usr/local/cuda/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 -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -std=c++17
2025-08-26T21:52:34.8296430Z /usr/local/cuda/bin/nvcc -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/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cuda_extension_kernel.cu -o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:52:49.0799094Z /usr/local/cuda/bin/nvcc -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/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cuda_extension_kernel2.cu -o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel2.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:53:03.3476018Z 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/cuda_extension_kernel.o build/temp.linux-x86_64-cpython-310/cuda_extension_kernel2.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:53:03.8462861Z building 'torch_test_cpp_extension.torch_library' extension
2025-08-26T21:53:03.8466462Z /usr/local/cuda/bin/nvcc -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/usr/local/cuda/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__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=torch_library -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:53:34.4574194Z 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/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:53:34.7947317Z building 'torch_test_cpp_extension.cublas_extension' extension
2025-08-26T21:53:34.7950523Z 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/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cublas_extension.cpp -o build/temp.linux-x86_64-cpython-310/cublas_extension.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cublas_extension -std=c++17
2025-08-26T21:53:35.7144758Z 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/cublas_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lcublas -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cublas_extension.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:53:35.9519920Z building 'torch_test_cpp_extension.cusolver_extension' extension
2025-08-26T21:53:35.9523384Z 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/usr/local/cuda/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c cusolver_extension.cpp -o build/temp.linux-x86_64-cpython-310/cusolver_extension.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cusolver_extension -std=c++17
2025-08-26T21:53:36.8874157Z 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/cusolver_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lcusolver -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cusolver_extension.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:53:37.1294971Z running install_lib
2025-08-26T21:53:37.1374369Z 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
2025-08-26T21:53:37.1473439Z 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
2025-08-26T21:53:37.1574462Z 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
2025-08-26T21:53:37.1678890Z 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
2025-08-26T21:53:37.1770497Z 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
2025-08-26T21:53:37.1774145Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cublas_extension.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension
2025-08-26T21:53:37.1777672Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cusolver_extension.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension
2025-08-26T21:53:37.1784467Z running install_egg_info
2025-08-26T21:53:37.1948360Z running egg_info
2025-08-26T21:53:37.2014873Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-26T21:53:37.2018341Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-26T21:53:37.2020402Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-26T21:53:37.2022800Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-26T21:53:37.2095860Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T21:53:37.2105128Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T21:53:37.2107443Z 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)
2025-08-26T21:53:37.2108929Z 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
2025-08-26T21:53:37.2118331Z running install_scripts
2025-08-26T21:53:40.3086910Z /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.
2025-08-26T21:53:40.3088667Z   import pkg_resources
2025-08-26T21:53:40.3489175Z 
2025-08-26T21:53:40.3489325Z Running tests...
2025-08-26T21:53:40.3489628Z ----------------------------------------------------------------------
2025-08-26T21:53:40.6911692Z .
2025-08-26T21:53:40.6912065Z ----------------------------------------------------------------------
2025-08-26T21:53:40.6912430Z Ran 1 test in 0.342s
2025-08-26T21:53:40.6912584Z 
2025-08-26T21:53:40.6912667Z OK
2025-08-26T21:53:40.6912769Z 
2025-08-26T21:53:40.6912870Z Generating XML reports...
2025-08-26T21:53:41.4273094Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-08-26 21:53:41.426864]
2025-08-26T21:53:43.9780070Z /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.
2025-08-26T21:53:43.9781434Z   import pkg_resources
2025-08-26T21:53:44.0144364Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/extension.py:150: UserWarning: Unknown Extension options: 'dlink'
2025-08-26T21:53:44.0145060Z   warnings.warn(msg)
2025-08-26T21:53:44.0502512Z running install
2025-08-26T21:53:44.0504970Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T21:53:44.0505677Z !!
2025-08-26T21:53:44.0505788Z 
2025-08-26T21:53:44.0505917Z         ********************************************************************************
2025-08-26T21:53:44.0506276Z         Please avoid running ``setup.py`` directly.
2025-08-26T21:53:44.0506635Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T21:53:44.0506971Z         standards-based tools.
2025-08-26T21:53:44.0507145Z 
2025-08-26T21:53:44.0507353Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-26T21:53:44.0507787Z         or your builds will no longer be supported.
2025-08-26T21:53:44.0507994Z 
2025-08-26T21:53:44.0508260Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T21:53:44.0508713Z         ********************************************************************************
2025-08-26T21:53:44.0508927Z 
2025-08-26T21:53:44.0508999Z !!
2025-08-26T21:53:44.0509195Z   self.initialize_options()
2025-08-26T21:53:44.0611378Z running build
2025-08-26T21:53:44.0611686Z running build_py
2025-08-26T21:53:44.0682471Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-26T21:53:44.0684945Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2025-08-26T21:53:44.0689338Z running build_ext
2025-08-26T21:53:44.1006282Z building 'torch_test_cpp_extension.cpp' extension
2025-08-26T21:53:44.1007154Z creating /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310
2025-08-26T21:53:45.1740865Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/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/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-26T21:53:45.1744147Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:12,
2025-08-26T21:53:45.1744963Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2025-08-26T21:53:45.1745582Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:9,
2025-08-26T21:53:45.1745963Z                  from extension.cpp:1:
2025-08-26T21:53:45.1747002Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2025-08-26T21:53:45.1747605Z extension.cpp:45:53:   required from here
2025-08-26T21:53:45.1748626Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:2041:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2025-08-26T21:53:45.1749476Z  2041 | class class_ : public detail::generic_type {
2025-08-26T21:53:45.1749731Z       |       ^~~~~~
2025-08-26T21:53:45.1750825Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< <template-parameter-1-1>, <template-parameter-1-2> >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’:
2025-08-26T21:53:45.1751765Z extension.cpp:45:53:   required from here
2025-08-26T21:53:45.1753320Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:2139:28: warning: ‘pybind11::class_<MatrixMultiplier>::class_<>(pybind11::handle, const char*)::<lambda(pybind11::detail::internals&)>’ declared with greater visibility than the type of its field ‘pybind11::class_<MatrixMultiplier>::class_<>(pybind11::handle, const char*)::<lambda(pybind11::detail::internals&)>::<record capture>’ [-Wattributes]
2025-08-26T21:53:45.1754653Z  2139 |             with_internals([&](internals &internals) {
2025-08-26T21:53:45.1754923Z       |                            ^~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:45.1755281Z  2140 |                 auto &instances = record.module_local ? get_local_internals().registered_types_cpp
2025-08-26T21:53:45.1755669Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:45.1756102Z  2141 |                                                       : internals.registered_types_cpp;
2025-08-26T21:53:45.1756385Z       |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:45.1756683Z  2142 |                 instances[std::type_index(typeid(type_alias))]
2025-08-26T21:53:45.1756962Z       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:45.1757226Z  2143 |                     = instances[std::type_index(typeid(type))];
2025-08-26T21:53:45.1757516Z       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:45.1757748Z  2144 |             });
2025-08-26T21:53:45.1757924Z       |             ~               
2025-08-26T21:53:45.1850397Z 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/workspace/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
2025-08-26T21:53:45.6433020Z building 'torch_test_cpp_extension.maia' extension
2025-08-26T21:53:46.9374320Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/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/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/maia_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-26T21:53:46.9420949Z 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/workspace/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
2025-08-26T21:53:47.3902137Z building 'torch_test_cpp_extension.rng' extension
2025-08-26T21:53:48.5754363Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/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/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-26T21:53:48.5759381Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-26T21:53:48.5760420Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-26T21:53:48.5761390Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-26T21:53:48.5762303Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-26T21:53:48.5762910Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:6:
2025-08-26T21:53:48.5764361Z /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]
2025-08-26T21:53:48.5765321Z  1478 | #pragma unroll
2025-08-26T21:53:48.5765611Z       | 
2025-08-26T21:53:48.5766174Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4,
2025-08-26T21:53:48.5768243Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530,
2025-08-26T21:53:48.5769170Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-26T21:53:48.5769983Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-26T21:53:48.5771025Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-26T21:53:48.5771934Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-26T21:53:48.5772614Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:6:
2025-08-26T21:53:48.5773485Z /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]
2025-08-26T21:53:48.5774012Z    59 | #pragma unroll
2025-08-26T21:53:48.5774177Z       | 
2025-08-26T21:53:48.5774733Z /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]
2025-08-26T21:53:48.5775242Z    72 | #pragma unroll
2025-08-26T21:53:48.5775409Z       | 
2025-08-26T21:53:48.5775943Z /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]
2025-08-26T21:53:48.5776445Z    87 | #pragma unroll
2025-08-26T21:53:48.5776610Z       | 
2025-08-26T21:53:48.5776976Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531,
2025-08-26T21:53:48.5777574Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8,
2025-08-26T21:53:48.5778103Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-08-26T21:53:48.5778622Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2025-08-26T21:53:48.5779215Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9,
2025-08-26T21:53:48.5779758Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:6:
2025-08-26T21:53:48.5780484Z /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]
2025-08-26T21:53:48.5781020Z   160 | #pragma unroll
2025-08-26T21:53:48.5781186Z       | 
2025-08-26T21:53:48.5781531Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.5782096Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.5782629Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.5783137Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.5783625Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.5784189Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.5784799Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.5785382Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.5785950Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.5786615Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.5787244Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.5787843Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.5788303Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.5789136Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.5790297Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.5791441Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.5792593Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.5793827Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.5795186Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.5799436Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.5806504Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.5810501Z /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]
2025-08-26T21:53:48.5811228Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.5811497Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.5815738Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.5820263Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.5821148Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.5821441Z       |        ^~~~~~~~
2025-08-26T21:53:48.5821869Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.5822524Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.5823115Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.5823658Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.5824164Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.5824720Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.5825416Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.5826159Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.5826958Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.5827692Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.5828390Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.5829009Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.5829617Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.5830134Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.5830802Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.5831299Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.5831546Z       |                     ^~~~
2025-08-26T21:53:48.5831931Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.5832503Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.5833036Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.5833556Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.5834052Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.5834604Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.5835217Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.5835897Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.5836482Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.5837095Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.5837729Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.5838283Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.5838746Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.5839521Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.5840570Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.5841706Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.5843166Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.5844553Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.5845965Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.5850054Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.5857065Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.5860969Z /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]
2025-08-26T21:53:48.5861598Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.5861867Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.5866067Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.5871081Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.5872050Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.5872344Z       |        ^~~~~~~~
2025-08-26T21:53:48.5872767Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.5873430Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.5874027Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.5874567Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.5875078Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.5875636Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.5876444Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.5877206Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.5877957Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.5878699Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.5879374Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.5880000Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.5880566Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.5881029Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.5881700Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.5882341Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.5882662Z       |                     ^~~~
2025-08-26T21:53:48.5883266Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.5883911Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.5884531Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.5885242Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.5885886Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.5886508Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.5887294Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.5887972Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.5888659Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.5889481Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.5890195Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.5890904Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.5891427Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.5892315Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.5893556Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.5894794Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.5896052Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.5897427Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.5898846Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.5902779Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.5909567Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.5913577Z /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]
2025-08-26T21:53:48.5914348Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.5914722Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.5918872Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.5923161Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.5924117Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.5924472Z       |        ^~~~~~~~
2025-08-26T21:53:48.5925034Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.5925818Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.5926463Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.5927156Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.5927805Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.5928470Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.5929335Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.5930197Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.5931000Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.5931912Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.5932716Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.5933456Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.5934108Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.5934665Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.5935453Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.5936118Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.5936462Z       |                     ^~~~
2025-08-26T21:53:48.5936990Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.5937652Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.5938235Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.5938882Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.5939480Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.5940103Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.5940864Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.5941497Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.5942145Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.5943327Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.5944063Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.5944760Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.5945330Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.5946175Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.5947349Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.5948702Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.5949952Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.5951434Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.5952924Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.5957219Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.5963875Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.5967835Z /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]
2025-08-26T21:53:48.5968522Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.5968901Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.5973007Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.5977419Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.5978339Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.5978768Z       |        ^~~~~~~~
2025-08-26T21:53:48.5979328Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.5980074Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.5980733Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.5981415Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.5981996Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.5982618Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.5983464Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.5984305Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.5985184Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.5985987Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.5986813Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.5987566Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.5988213Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.5988754Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.5989589Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.5990134Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.5990459Z       |                     ^~~~
2025-08-26T21:53:48.5990975Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.5991628Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.5992302Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.5992947Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.5993638Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.5994252Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.5995040Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.5995866Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.5996578Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.5997273Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.5997982Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.5998644Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.5999211Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6000074Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6001356Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6002549Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6003789Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6005180Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6006607Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6010883Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6017991Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6022205Z /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]
2025-08-26T21:53:48.6023050Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6023460Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6027690Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6032218Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6033162Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6033510Z       |        ^~~~~~~~
2025-08-26T21:53:48.6034049Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6034809Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6035509Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6036286Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6037000Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6037686Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6038497Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6039363Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6040158Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6040905Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6041581Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6042206Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6042770Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6043556Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6044239Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6044742Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6044989Z       |                     ^~~~
2025-08-26T21:53:48.6045393Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6045969Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6046507Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6047023Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6047517Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6048072Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6048678Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6049255Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6049834Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6050452Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6051081Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6051639Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6052094Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6052962Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6054012Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6055215Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6056435Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6057761Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6059099Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6063193Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6070110Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6074085Z /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]
2025-08-26T21:53:48.6074721Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6074989Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6079250Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6083617Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6084478Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6084773Z       |        ^~~~~~~~
2025-08-26T21:53:48.6085199Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6085866Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6086459Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6087006Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6087526Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6088087Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6088792Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6089546Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6090296Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6091044Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6091722Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6092351Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6092919Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6093423Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6094098Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6094597Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6094877Z       |                     ^~~~
2025-08-26T21:53:48.6095264Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6095862Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6096431Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6096950Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6097444Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6097993Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6098599Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6099186Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6099772Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6100393Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6101037Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6101594Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6102045Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6102814Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6103848Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6104988Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6106158Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6107403Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6108754Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6112685Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6119330Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6123204Z /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]
2025-08-26T21:53:48.6123827Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6124094Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6128580Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6132810Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6133758Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6134060Z       |        ^~~~~~~~
2025-08-26T21:53:48.6134499Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6135206Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6135805Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6136421Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6136975Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6137539Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6138243Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6139004Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6139766Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6140511Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6141210Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6141838Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6142400Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6143159Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6143861Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6144366Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6144610Z       |                     ^~~~
2025-08-26T21:53:48.6145005Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6145584Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6146126Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6146659Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6147159Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6147713Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6148327Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6148930Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6149521Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6150142Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6150873Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6151440Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6151989Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6152772Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6153889Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6155102Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6156362Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6157612Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6158960Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6162814Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6169355Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6173147Z /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]
2025-08-26T21:53:48.6173783Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6174042Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6178024Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6182195Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6183064Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6183349Z       |        ^~~~~~~~
2025-08-26T21:53:48.6183779Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6184456Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6185064Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6185616Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6186119Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6186684Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6187385Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6188150Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6188913Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6189660Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6190333Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6191008Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6191572Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6192070Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6192736Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6193223Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6193500Z       |                     ^~~~
2025-08-26T21:53:48.6193894Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6194502Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6195047Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6195565Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6196165Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6196721Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6197333Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6197924Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6198505Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6199130Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6199768Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6200333Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6200798Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6201557Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6202608Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6203750Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6204921Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6206164Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6207508Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6211473Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6218023Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6221786Z /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]
2025-08-26T21:53:48.6222402Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6222681Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6226605Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6230775Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6231641Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6231965Z       |        ^~~~~~~~
2025-08-26T21:53:48.6232391Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6233095Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6233718Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6234270Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6234785Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6235349Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6236118Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6236879Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6237630Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6238373Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6239043Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6239669Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6240232Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6240695Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6241361Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6241858Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6242096Z       |                     ^~~~
2025-08-26T21:53:48.6242483Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6243294Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6243853Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6244383Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6244879Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6245434Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6246045Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6246634Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6247382Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6248008Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6248701Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6249263Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6249773Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6250566Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6251696Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6252843Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6268976Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6271156Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6273482Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6279861Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6286605Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6290405Z /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]
2025-08-26T21:53:48.6291107Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6291425Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6295367Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6299534Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6300399Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6300688Z       |        ^~~~~~~~
2025-08-26T21:53:48.6301123Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6301806Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6302402Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6302945Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6303459Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6304019Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6304721Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6305477Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6306236Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6307012Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6307686Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6308353Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6308916Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6309394Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6310094Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6310624Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6310872Z       |                     ^~~~
2025-08-26T21:53:48.6311266Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6311855Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6312403Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6312935Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6313441Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6314004Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6314626Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6315221Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6315907Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6316535Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6317175Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6317734Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6318204Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6318988Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6320043Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6321190Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6322352Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6323616Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6325007Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6328897Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6335456Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6339194Z /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]
2025-08-26T21:53:48.6339837Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6340105Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6344423Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6348706Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6349578Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6349949Z       |        ^~~~~~~~
2025-08-26T21:53:48.6350370Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6351125Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6351723Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6352279Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6352799Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6353354Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6354059Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6354837Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6355601Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6356453Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6357129Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6357746Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6358310Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6358782Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6359452Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6359958Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6360198Z       |                     ^~~~
2025-08-26T21:53:48.6360589Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6361177Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6361721Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6362244Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6362740Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6363300Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6363907Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6364536Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6365120Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6365765Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6366402Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6367005Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6367508Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6368280Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6369328Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6370468Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6371637Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6372897Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6374248Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6378100Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6384654Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6388451Z /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]
2025-08-26T21:53:48.6389096Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6389358Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6393287Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6397493Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6398348Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6398632Z       |        ^~~~~~~~
2025-08-26T21:53:48.6399051Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6399721Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6400328Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6400879Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6401397Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6401953Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6402664Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6403426Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6404233Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6404989Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6405695Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6406323Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6406917Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6407416Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6408065Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6408560Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6408796Z       |                     ^~~~
2025-08-26T21:53:48.6409189Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6409763Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6410308Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6410845Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6411343Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6411903Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6412526Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6413113Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6413695Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6414314Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6414950Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6415514Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6415975Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6416738Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6417784Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6418918Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6420090Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6421385Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6422784Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6426851Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6433818Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6437945Z /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]
2025-08-26T21:53:48.6438565Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6438831Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6443327Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6448557Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6449414Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6449705Z       |        ^~~~~~~~
2025-08-26T21:53:48.6450129Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6450799Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6451390Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6451935Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6452458Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6453020Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6453724Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6454478Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6455221Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6455956Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6456627Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6457248Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6457821Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6458292Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6458949Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6459451Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6459690Z       |                     ^~~~
2025-08-26T21:53:48.6460086Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6460652Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6461199Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6461783Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6462286Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6462878Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6463489Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6464101Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6464716Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6465338Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6465979Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6466537Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6466999Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6467769Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6468821Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6469960Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6471126Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6472370Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6473708Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6477957Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6485065Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6489106Z /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]
2025-08-26T21:53:48.6489737Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6490004Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6494226Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6498607Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6499461Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6499747Z       |        ^~~~~~~~
2025-08-26T21:53:48.6500161Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6500894Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6501482Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6502055Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6502563Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6503150Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6503846Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6504630Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6505381Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6506118Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6506780Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6507399Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6507956Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6508419Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6509071Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6509558Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6509792Z       |                     ^~~~
2025-08-26T21:53:48.6510181Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6510748Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6511281Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6511802Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6512297Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6512872Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6513485Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6514068Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6514650Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6515270Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6515983Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6516546Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6517048Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6517814Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6518896Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6520075Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6521243Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6522533Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6523877Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6528017Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6535097Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6539246Z /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]
2025-08-26T21:53:48.6539871Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6540137Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6545093Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6549530Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6550391Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6550684Z       |        ^~~~~~~~
2025-08-26T21:53:48.6551116Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6551785Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6552380Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6552926Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6553442Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6554002Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6554817Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6555588Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6556478Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6557217Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6557947Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6558654Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6559214Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6559680Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6560338Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6560844Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6561084Z       |                     ^~~~
2025-08-26T21:53:48.6561478Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6562045Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6562594Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6563115Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6563614Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6564165Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6564775Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6565360Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6565955Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6566585Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6567223Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6567790Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6568267Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6569050Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6570104Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6571260Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6572474Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6573761Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6575101Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6579332Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6586354Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6590324Z /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]
2025-08-26T21:53:48.6590955Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6591223Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6595500Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6600012Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6600871Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6601158Z       |        ^~~~~~~~
2025-08-26T21:53:48.6601578Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6602245Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6602835Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6603384Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6603895Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6604448Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6605149Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6605901Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6606655Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6607394Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6608066Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6608687Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6609251Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6609712Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6610366Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6610867Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6611108Z       |                     ^~~~
2025-08-26T21:53:48.6611496Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6612104Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6612647Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6613201Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6613697Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6614288Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6614927Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6615511Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6616095Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6616808Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6617445Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6618013Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6618480Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6619248Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6620297Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6621443Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6622605Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6623849Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6625194Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6629414Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6636507Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6640580Z /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]
2025-08-26T21:53:48.6641203Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6641469Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6646103Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6650522Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6651383Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6651669Z       |        ^~~~~~~~
2025-08-26T21:53:48.6652194Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6652895Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6653545Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6654094Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6654610Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6655227Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6655997Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6656752Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6657517Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6658264Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6658936Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6659566Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6660136Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6660605Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6661276Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6661768Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6662015Z       |                     ^~~~
2025-08-26T21:53:48.6662409Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6662986Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6663525Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6664052Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6664546Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6665106Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6665715Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6666303Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6666879Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6667498Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6668137Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6668756Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6669221Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6670021Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6671075Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6672246Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6673444Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6674685Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6676114Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6680267Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6687306Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6691314Z /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]
2025-08-26T21:53:48.6691929Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6692195Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6696453Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6700851Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6701699Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6701984Z       |        ^~~~~~~~
2025-08-26T21:53:48.6702406Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6703074Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6703682Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6704234Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6704747Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6705306Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6706013Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6706772Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6707534Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6708275Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6708988Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6709620Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6710185Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6710712Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6711365Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6711896Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6712174Z       |                     ^~~~
2025-08-26T21:53:48.6712564Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6713134Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6713668Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6714189Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6714684Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6715253Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6715929Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6716515Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6717099Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6717718Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6718361Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6718916Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6719377Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6720142Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6721181Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6722318Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6723483Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6724719Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6726069Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6730273Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6737336Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6741315Z /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]
2025-08-26T21:53:48.6741934Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6742197Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6746858Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6751259Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6752168Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6752510Z       |        ^~~~~~~~
2025-08-26T21:53:48.6752932Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6753623Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6754223Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6754771Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6755278Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6755905Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6756629Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6757386Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6758145Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6758880Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6759547Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6760172Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6760740Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6761222Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6761893Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6762402Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6762642Z       |                     ^~~~
2025-08-26T21:53:48.6763032Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6763599Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6764130Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6764654Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6765153Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6765763Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6766380Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6766959Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6767574Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6768196Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6768869Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6769461Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6769922Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6770697Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6771747Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6772883Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6774068Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6775317Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6776657Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6780783Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6787889Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6791929Z /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]
2025-08-26T21:53:48.6792552Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6792821Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6797110Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6801477Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6802321Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6802610Z       |        ^~~~~~~~
2025-08-26T21:53:48.6803040Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6803712Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6804311Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6804858Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6805372Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6805977Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6806679Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6807471Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6808227Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6809000Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6809702Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6810320Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6810887Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6811352Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6812013Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6812509Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6812747Z       |                     ^~~~
2025-08-26T21:53:48.6813138Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6813711Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6814246Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6814769Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6815266Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6815823Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6816434Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6817017Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6817595Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6818212Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6818846Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6819408Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6819865Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6820628Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6821684Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6822861Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6824064Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6825321Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6826716Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6830908Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6838026Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6842010Z /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]
2025-08-26T21:53:48.6842638Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6843130Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6847603Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6852140Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6853003Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6853293Z       |        ^~~~~~~~
2025-08-26T21:53:48.6853720Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6854408Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6855004Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6855551Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6856065Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6856625Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6857331Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6858088Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6858838Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6859579Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6860246Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6860873Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6861434Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6861905Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6862555Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6863063Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6863354Z       |                     ^~~~
2025-08-26T21:53:48.6863743Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6864338Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6864878Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6865400Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6865933Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6866523Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6867135Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6867719Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6868306Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6868929Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6869583Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6870151Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6870609Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6871375Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6872424Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6873581Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6874756Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6876119Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6877491Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6881427Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6887937Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6891757Z /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]
2025-08-26T21:53:48.6892385Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6892656Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6896594Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6900733Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6901603Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6901889Z       |        ^~~~~~~~
2025-08-26T21:53:48.6902310Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6903015Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6903613Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6904196Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6904709Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6905299Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6906028Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6906785Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6907545Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6908285Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6908951Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6909579Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6910136Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6910599Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6911263Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6911754Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6911991Z       |                     ^~~~
2025-08-26T21:53:48.6912376Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6912625Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6912859Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6913080Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6913288Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6913568Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6913830Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6914083Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6914338Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6914626Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6914904Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6915113Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6915330Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6915914Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6916535Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6917162Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6917856Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6918558Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6919287Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6922818Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6926813Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6927369Z /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]
2025-08-26T21:53:48.6927517Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6927606Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6931644Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6932569Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6932718Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6932784Z       |        ^~~~~~~~
2025-08-26T21:53:48.6933099Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6933385Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6933628Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6933869Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6934068Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6934349Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6934710Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6935051Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6935402Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6935719Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6936003Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6936309Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6936532Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6936743Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6937147Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6937287Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6937353Z       |                     ^~~~
2025-08-26T21:53:48.6937698Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6937931Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6938164Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6938385Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6938591Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6938877Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6939137Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6939402Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6939658Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6939948Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6940239Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6940452Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6940635Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6941161Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6941748Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6942371Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6943318Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6944039Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6944769Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6948421Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6952480Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6953050Z /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]
2025-08-26T21:53:48.6953164Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6953254Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6957422Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6958335Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6958521Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6958584Z       |        ^~~~~~~~
2025-08-26T21:53:48.6958938Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6959216Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6959458Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6959696Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6959897Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6960182Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6960531Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6960875Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6961224Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6961543Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6961818Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6962088Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6962306Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6962484Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6962892Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6962997Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6963070Z       |                     ^~~~
2025-08-26T21:53:48.6963329Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6963575Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6963810Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6964028Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6964238Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6964511Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6964809Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6965072Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6965353Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6965648Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6965952Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6966200Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6966375Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6966898Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6967480Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6968104Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6968718Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6969428Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6970146Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6973658Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.6977676Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.6978291Z /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]
2025-08-26T21:53:48.6978408Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.6978489Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.6982538Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.6983396Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.6983542Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.6983611Z       |        ^~~~~~~~
2025-08-26T21:53:48.6983922Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.6984209Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.6984449Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.6984683Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.6984893Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.6985172Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.6985561Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.6985926Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.6986275Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.6986628Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.6986937Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.6987219Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.6987437Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6987616Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6988020Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.6988124Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.6988197Z       |                     ^~~~
2025-08-26T21:53:48.6988459Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.6988698Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.6988924Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.6989145Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.6989348Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.6989623Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.6989885Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.6990141Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.6990411Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.6990713Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.6990992Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.6991201Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.6991381Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.6991900Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.6992478Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.6993169Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6993777Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.6994514Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.6995271Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.6998627Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.7002287Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.7002830Z /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]
2025-08-26T21:53:48.7002943Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.7003024Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.7006863Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.7007777Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.7007919Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.7007986Z       |        ^~~~~~~~
2025-08-26T21:53:48.7008303Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.7008579Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.7008828Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.7009060Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.7009263Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.7009544Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.7009895Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.7010227Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.7010580Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.7010896Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.7011177Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.7011453Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.7011668Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.7011851Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.7012250Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.7012358Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.7012426Z       |                     ^~~~
2025-08-26T21:53:48.7012689Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/ArrayRef.h:20,
2025-08-26T21:53:48.7012924Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/core/MemoryFormat.h:3,
2025-08-26T21:53:48.7013196Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/TensorBody.h:13,
2025-08-26T21:53:48.7013417Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/core/Tensor.h:3,
2025-08-26T21:53:48.7013653Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/Tensor.h:3,
2025-08-26T21:53:48.7013931Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
2025-08-26T21:53:48.7014229Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
2025-08-26T21:53:48.7014514Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
2025-08-26T21:53:48.7014771Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
2025-08-26T21:53:48.7015064Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
2025-08-26T21:53:48.7015338Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
2025-08-26T21:53:48.7015551Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.7015725Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.7016248Z In member function ‘void c10::SmallVectorTemplateCommon<T, <template-parameter-1-2> >::grow_pod(size_t, size_t) [with T = char*; <template-parameter-1-2> = void]’,
2025-08-26T21:53:48.7016829Z     inlined from ‘void c10::SmallVectorTemplateBase<T, true>::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,
2025-08-26T21:53:48.7017478Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.7018088Z     inlined from ‘void c10::SmallVectorImpl<T>::reserve(c10::SmallVectorImpl<T>::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,
2025-08-26T21:53:48.7018797Z     inlined from ‘void c10::SmallVectorImpl<T>::append(in_iter, in_iter) [with in_iter = char**; <template-parameter-2-2> = void; T = char*]’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/c10/util/SmallVector.h:730:18,
2025-08-26T21:53:48.7019527Z     inlined from ‘c10::SmallVector<T, N>::SmallVector(ItTy, ItTy) [with ItTy = char**; <template-parameter-2-2> = 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,
2025-08-26T21:53:48.7023087Z     inlined from ‘at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>’ at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21,
2025-08-26T21:53:48.7027066Z     inlined from ‘static Ret c10::function_ref<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; 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:
2025-08-26T21:53:48.7027700Z /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]
2025-08-26T21:53:48.7027812Z   139 |     Base::grow_pod(getFirstEl(), MinSize, TSize);
2025-08-26T21:53:48.7027897Z       |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-08-26T21:53:48.7031931Z /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<Ret(Params ...)>::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d<at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)> >(const at::native::CPU_CAPABILITY::cpu_serial_kernel<at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()> >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel<TestCPUGenerator*>(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::<lambda()>::<lambda()>::<lambda()>&&, const at::Range&)::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)>; Ret = void; Params = {char**, const long int*, long int, long int}]’:
2025-08-26T21:53:48.7032785Z /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<Size_T>::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here
2025-08-26T21:53:48.7032947Z    73 |   void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize);
2025-08-26T21:53:48.7033014Z       |        ^~~~~~~~
2025-08-26T21:53:48.7033329Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12,
2025-08-26T21:53:48.7033615Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15,
2025-08-26T21:53:48.7033989Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/NativeFunctions.h:37,
2025-08-26T21:53:48.7045366Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIndexing.h:13,
2025-08-26T21:53:48.7045793Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/ATen.h:18,
2025-08-26T21:53:48.7046117Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
2025-08-26T21:53:48.7046561Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
2025-08-26T21:53:48.7046972Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
2025-08-26T21:53:48.7047336Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4,
2025-08-26T21:53:48.7047668Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
2025-08-26T21:53:48.7047965Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
2025-08-26T21:53:48.7048242Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9,
2025-08-26T21:53:48.7048468Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/extension.h:5,
2025-08-26T21:53:48.7048648Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:1:
2025-08-26T21:53:48.7049128Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here
2025-08-26T21:53:48.7049247Z   413 |           PtrVector data(base, base + ntensor);
2025-08-26T21:53:48.7049319Z       |                     ^~~~
2025-08-26T21:53:48.7050825Z 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/workspace/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
2025-08-26T21:53:49.0598989Z building 'torch_test_cpp_extension.cuda' extension
2025-08-26T21:53:50.2508717Z [1/3] c++ -MMD -MF /var/lib/jenkins/workspace/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/usr/local/cuda/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/cuda_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -std=c++17
2025-08-26T21:54:03.7477139Z [2/3] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_extension_kernel2.o.d -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/usr/local/cuda/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/cuda_extension_kernel2.cu -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_extension_kernel2.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:54:03.7815703Z [3/3] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_extension_kernel.o.d -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/usr/local/cuda/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/cuda_extension_kernel.cu -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_extension_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:54:03.7862625Z 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/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_extension.o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_extension_kernel.o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_extension_kernel2.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:54:04.2937912Z building 'torch_test_cpp_extension.torch_library' extension
2025-08-26T21:54:34.9063796Z [1/1] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/torch_library.o.d -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/usr/local/cuda/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/torch_library.cu -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/torch_library.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=torch_library -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:54:34.9112303Z 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/workspace/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/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/torch_library.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:54:35.2453644Z building 'torch_test_cpp_extension.cublas_extension' extension
2025-08-26T21:54:36.2923443Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cublas_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/usr/local/cuda/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/cublas_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cublas_extension.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cublas_extension -std=c++17
2025-08-26T21:54:36.2972060Z 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/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cublas_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lcublas -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cublas_extension.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:54:36.5360627Z building 'torch_test_cpp_extension.cusolver_extension' extension
2025-08-26T21:54:37.6190121Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cusolver_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/usr/local/cuda/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/cusolver_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cusolver_extension.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cusolver_extension -std=c++17
2025-08-26T21:54:37.6238683Z 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/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cusolver_extension.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lcusolver -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cusolver_extension.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:54:37.8666066Z building 'torch_test_cpp_extension.cuda_dlink' extension
2025-08-26T21:54:38.6690027Z [1/4] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_dlink_extension_add.o.d -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/usr/local/cuda/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/cuda_dlink_extension_add.cu -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_dlink_extension_add.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O2 -dc -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda_dlink -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:54:38.9859125Z [2/4] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_dlink_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/usr/local/cuda/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/cuda_dlink_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_dlink_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda_dlink -std=c++17
2025-08-26T21:54:52.3232045Z [3/4] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_dlink_extension_kernel.o.d -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/usr/local/cuda/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/cuda_dlink_extension_kernel.cu -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_dlink_extension_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -O2 -dc -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda_dlink -gencode=arch=compute_89,code=sm_89 -std=c++17
2025-08-26T21:54:52.4500364Z [4/4] /usr/local/cuda/bin/nvcc /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_dlink_extension.o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_dlink_extension_add.o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_dlink_extension_kernel.o -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/dlink.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -dlink -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -dlto -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cuda_dlink -gencode=arch=compute_89,code=sm_89
2025-08-26T21:54:52.4503356Z nvlink info    : requested LTO but '/var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_dlink_extension_add.o' not built for LTO so doing partial LTO
2025-08-26T21:54:52.4504440Z nvlink info    : requested LTO but '/var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_dlink_extension_kernel.o' not built for LTO so doing partial LTO
2025-08-26T21:54:52.4505166Z nvlink warning : Ignoring -dlto option because no LTO objects found
2025-08-26T21:54:52.4551034Z 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/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_dlink_extension.o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_dlink_extension_add.o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/cuda_dlink_extension_kernel.o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/dlink.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda_dlink.cpython-310-x86_64-linux-gnu.so
2025-08-26T21:54:52.9689307Z running install_lib
2025-08-26T21:54:52.9769011Z 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
2025-08-26T21:54:52.9868879Z 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
2025-08-26T21:54:52.9970270Z 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
2025-08-26T21:54:53.0076145Z 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
2025-08-26T21:54:53.0167536Z 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
2025-08-26T21:54:53.0170908Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cublas_extension.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension
2025-08-26T21:54:53.0174689Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cusolver_extension.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension
2025-08-26T21:54:53.0177882Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cuda_dlink.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_test_cpp_extension
2025-08-26T21:54:53.0262965Z running install_egg_info
2025-08-26T21:54:53.0427591Z running egg_info
2025-08-26T21:54:53.0494726Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-26T21:54:53.0498210Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-26T21:54:53.0500673Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-26T21:54:53.0503192Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-26T21:54:53.0575271Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T21:54:53.0585202Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T21:54:53.0586888Z 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)
2025-08-26T21:54:53.0589150Z 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
2025-08-26T21:54:53.0597750Z running install_scripts
2025-08-26T21:54:55.2464606Z running install
2025-08-26T21:54:55.2465663Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T21:54:55.2466393Z !!
2025-08-26T21:54:55.2466500Z 
2025-08-26T21:54:55.2466912Z         ********************************************************************************
2025-08-26T21:54:55.2467283Z         Please avoid running ``setup.py`` directly.
2025-08-26T21:54:55.2467663Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T21:54:55.2468096Z         standards-based tools.
2025-08-26T21:54:55.2468266Z 
2025-08-26T21:54:55.2468497Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-26T21:54:55.2468928Z         or your builds will no longer be supported.
2025-08-26T21:54:55.2469229Z 
2025-08-26T21:54:55.2469501Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T21:54:55.2470066Z         ********************************************************************************
2025-08-26T21:54:55.2470276Z 
2025-08-26T21:54:55.2470357Z !!
2025-08-26T21:54:55.2470555Z   self.initialize_options()
2025-08-26T21:54:55.2577879Z running build
2025-08-26T21:54:55.2578140Z running build_ext
2025-08-26T21:54:55.2868928Z building 'no_python_abi_suffix_test' extension
2025-08-26T21:54:55.3382532Z ninja: no work to do.
2025-08-26T21:54:55.3416355Z 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/workspace/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
2025-08-26T21:54:55.4318159Z running install_lib
2025-08-26T21:54:55.4398829Z 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
2025-08-26T21:54:55.4403364Z running install_egg_info
2025-08-26T21:54:55.4570729Z running egg_info
2025-08-26T21:54:55.4638107Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2025-08-26T21:54:55.4641807Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2025-08-26T21:54:55.4645112Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2025-08-26T21:54:55.4715384Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-26T21:54:55.4723151Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-26T21:54:55.4724679Z 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)
2025-08-26T21:54:55.4726470Z 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
2025-08-26T21:54:55.4733558Z running install_scripts
2025-08-26T21:54:57.4508363Z running bdist_wheel
2025-08-26T21:54:57.5060160Z running build
2025-08-26T21:54:57.5060440Z running build_ext
2025-08-26T21:54:57.5093144Z building 'python_agnostic._C' extension
2025-08-26T21:54:57.5714278Z ninja: no work to do.
2025-08-26T21:54:57.5750982Z 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/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so
2025-08-26T21:54:58.0333587Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T21:54:58.0335084Z !!
2025-08-26T21:54:58.0335205Z 
2025-08-26T21:54:58.0335333Z         ********************************************************************************
2025-08-26T21:54:58.0335691Z         Please avoid running ``setup.py`` directly.
2025-08-26T21:54:58.0336172Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T21:54:58.0336440Z         standards-based tools.
2025-08-26T21:54:58.0336573Z 
2025-08-26T21:54:58.0336742Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-26T21:54:58.0337170Z         or your builds will no longer be supported.
2025-08-26T21:54:58.0337343Z 
2025-08-26T21:54:58.0337564Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T21:54:58.0338012Z         ********************************************************************************
2025-08-26T21:54:58.0338175Z 
2025-08-26T21:54:58.0338238Z !!
2025-08-26T21:54:58.0338394Z   self.initialize_options()
2025-08-26T21:54:58.0403205Z installing to build/bdist.linux-x86_64/wheel
2025-08-26T21:54:58.0403527Z running install
2025-08-26T21:54:58.0443938Z running install_lib
2025-08-26T21:54:58.0516893Z creating build/bdist.linux-x86_64/wheel
2025-08-26T21:54:58.0518816Z creating build/bdist.linux-x86_64/wheel/python_agnostic
2025-08-26T21:54:58.0520234Z copying build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so -> build/bdist.linux-x86_64/wheel/./python_agnostic
2025-08-26T21:54:58.0525662Z running install_egg_info
2025-08-26T21:54:58.0598504Z running egg_info
2025-08-26T21:54:58.0664667Z writing python_agnostic.egg-info/PKG-INFO
2025-08-26T21:54:58.0668367Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt
2025-08-26T21:54:58.0671309Z writing top-level names to python_agnostic.egg-info/top_level.txt
2025-08-26T21:54:58.0742401Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-08-26T21:54:58.0751107Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt'
2025-08-26T21:54:58.0752996Z Copying python_agnostic.egg-info to build/bdist.linux-x86_64/wheel/./python_agnostic-0.0-py3.10.egg-info
2025-08-26T21:54:58.0759869Z running install_scripts
2025-08-26T21:54:58.0864918Z creating build/bdist.linux-x86_64/wheel/python_agnostic-0.0.dist-info/WHEEL
2025-08-26T21:54:58.0868486Z creating 'dist/python_agnostic-0.0-cp39-abi3-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
2025-08-26T21:54:58.1018055Z adding 'python_agnostic/_C.so'
2025-08-26T21:54:58.1023565Z adding 'python_agnostic-0.0.dist-info/METADATA'
2025-08-26T21:54:58.1024609Z adding 'python_agnostic-0.0.dist-info/WHEEL'
2025-08-26T21:54:58.1025729Z adding 'python_agnostic-0.0.dist-info/top_level.txt'
2025-08-26T21:54:58.1027139Z adding 'python_agnostic-0.0.dist-info/RECORD'
2025-08-26T21:54:58.1028376Z removing build/bdist.linux-x86_64/wheel
2025-08-26T21:55:00.0753026Z running install
2025-08-26T21:55:00.0753834Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T21:55:00.0754517Z !!
2025-08-26T21:55:00.0754618Z 
2025-08-26T21:55:00.0754757Z         ********************************************************************************
2025-08-26T21:55:00.0755105Z         Please avoid running ``setup.py`` directly.
2025-08-26T21:55:00.0755462Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T21:55:00.0755921Z         standards-based tools.
2025-08-26T21:55:00.0756129Z 
2025-08-26T21:55:00.0756488Z         By 2025-Oct-31, you need to update your project and remove deprecated calls
2025-08-26T21:55:00.0757046Z         or your builds will no longer be supported.
2025-08-26T21:55:00.0757241Z 
2025-08-26T21:55:00.0757460Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T21:55:00.0757844Z         ********************************************************************************
2025-08-26T21:55:00.0758020Z 
2025-08-26T21:55:00.0758079Z !!
2025-08-26T21:55:00.0758486Z   self.initialize_options()
2025-08-26T21:55:00.0862434Z running build
2025-08-26T21:55:00.0862657Z running build_py
2025-08-26T21:55:00.0934525Z copying libtorch_agnostic/__init__.py -> build/lib.linux-x86_64-cpython-310/libtorch_agnostic
2025-08-26T21:55:00.0936914Z copying libtorch_agnostic/ops.py -> build/lib.linux-x86_64-cpython-310/libtorch_agnostic
2025-08-26T21:55:00.0943242Z running build_ext
2025-08-26T21:55:00.1241774Z building 'libtorch_agnostic._C' extension
2025-08-26T21:55:00.1766925Z ninja: no work to do.
2025-08-26T21:55:00.1802083Z 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/workspace/test/cpp_extensions/libtorch_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_extension/libtorch_agnostic/csrc/kernel.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/libtorch_agnostic/_C.so
2025-08-26T21:55:00.5113461Z running install_lib
2025-08-26T21:55:00.5192966Z 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
2025-08-26T21:55:00.5199556Z running install_egg_info
2025-08-26T21:55:00.5356101Z running egg_info
2025-08-26T21:55:00.5420471Z writing libtorch_agnostic.egg-info/PKG-INFO
2025-08-26T21:55:00.5424351Z writing dependency_links to libtorch_agnostic.egg-info/dependency_links.txt
2025-08-26T21:55:00.5426862Z writing requirements to libtorch_agnostic.egg-info/requires.txt
2025-08-26T21:55:00.5428283Z writing top-level names to libtorch_agnostic.egg-info/top_level.txt
2025-08-26T21:55:00.5499659Z reading manifest file 'libtorch_agnostic.egg-info/SOURCES.txt'
2025-08-26T21:55:00.5508506Z writing manifest file 'libtorch_agnostic.egg-info/SOURCES.txt'
2025-08-26T21:55:00.5510260Z 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)
2025-08-26T21:55:00.5512417Z 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
2025-08-26T21:55:00.5520904Z running install_scripts
2025-08-26T21:55:00.9634642Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:55:00.9637820Z 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 21:55:00.963507]
2025-08-26T21:55:04.8980987Z 
2025-08-26T21:55:04.8981843Z 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_69775315cb248407_.log
2025-08-26T21:55:04.8988651Z 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
2025-08-26T21:55:04.8993695Z 
2025-08-26T21:55:04.8993851Z Running inductor/test_halide 1/1 ... [2025-08-26 21:55:04.898305]
2025-08-26T21:55:04.8994146Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:55:04.8994918Z 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 21:55:04.898647]
2025-08-26T21:55:11.0320068Z 
2025-08-26T21:55:11.0320905Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_0e61c2840247e1fe_.log
2025-08-26T21:55:11.0321515Z 
2025-08-26T21:55:11.0323742Z Running inductor/test_autoheuristic 1/1 ... [2025-08-26 21:55:11.032171]
2025-08-26T21:55:11.0324174Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:55:11.0327544Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_autoheuristic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:11.032509]
2025-08-26T21:55:16.8392233Z 
2025-08-26T21:55:16.8393152Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_c2ac79e2257307c9_.log
2025-08-26T21:55:16.8393917Z Running 0 items in this shard:
2025-08-26T21:55:16.8394098Z 
2025-08-26T21:55:16.8396219Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-08-26 21:55:16.839400]
2025-08-26T21:55:16.8396647Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:55:16.8399904Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:16.839752]
2025-08-26T21:55:23.2746262Z 
2025-08-26T21:55:23.2747196Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_8f14660ff511ca8c_.log
2025-08-26T21:55:23.2747873Z 
2025-08-26T21:55:23.2750270Z Running dynamo/test_torchrec 1/1 ... [2025-08-26 21:55:23.274782]
2025-08-26T21:55:23.2750686Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:55:23.2754042Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:23.275161]
2025-08-26T21:55:26.8284218Z 
2025-08-26T21:55:26.8285048Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_ca46305b1346d267_.log
2025-08-26T21:55:26.8285789Z Running 0 items in this shard:
2025-08-26T21:55:26.8285966Z 
2025-08-26T21:55:26.8288491Z Running test_openmp 1/1 ... [2025-08-26 21:55:26.828651]
2025-08-26T21:55:26.8288781Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:55:26.8292505Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_openmp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:26.829020]
2025-08-26T21:55:30.1998649Z 
2025-08-26T21:55:30.1999667Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_24b171f6c2f1109b_.log
2025-08-26T21:55:30.2000329Z Running 0 items in this shard:
2025-08-26T21:55:30.2000512Z 
2025-08-26T21:55:30.2002951Z Running test_fx_experimental 1/1 ... [2025-08-26 21:55:30.200079]
2025-08-26T21:55:30.2003349Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:55:30.2006849Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_experimental.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:30.200439]
2025-08-26T21:55:35.1734930Z 
2025-08-26T21:55:35.1735713Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_7891b18ec053e1da_.log
2025-08-26T21:55:35.1736421Z Running 0 items in this shard:
2025-08-26T21:55:35.1736594Z 
2025-08-26T21:55:35.1739074Z Running test_binary_ufuncs 1/1 ... [2025-08-26 21:55:35.173642]
2025-08-26T21:55:35.1739464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:55:35.1742613Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_binary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:35.174020]
2025-08-26T21:55:42.1506563Z 
2025-08-26T21:55:42.1507362Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_ffcf3b793c7cd8fe_.log
2025-08-26T21:55:42.1508070Z Running 0 items in this shard:
2025-08-26T21:55:42.1508273Z 
2025-08-26T21:55:42.1510350Z Running torch_np/test_nep50_examples 1/1 ... [2025-08-26 21:55:42.150818]
2025-08-26T21:55:42.1510783Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:55:42.1514444Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_nep50_examples.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:42.151200]
2025-08-26T21:55:45.6723152Z 
2025-08-26T21:55:45.6724583Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_598ac6a96b255b8d_.log
2025-08-26T21:55:45.6726030Z Running 0 items in this shard:
2025-08-26T21:55:45.6726357Z 
2025-08-26T21:55:45.6729846Z Running test_module_tracker 1/1 ... [2025-08-26 21:55:45.672551]
2025-08-26T21:55:45.6730453Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:55:45.6733733Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_module_tracker.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:45.673108]
2025-08-26T21:55:49.0434978Z 
2025-08-26T21:55:49.0435924Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_721f408fa99734ab_.log
2025-08-26T21:55:49.0436651Z Running 0 items in this shard:
2025-08-26T21:55:49.0436829Z 
2025-08-26T21:55:49.0438949Z Running test_ops 1/8 ... [2025-08-26 21:55:49.043661]
2025-08-26T21:55:49.0439313Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:55:49.0443231Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:55:49.044015]
2025-08-26T21:56:02.5833896Z 
2025-08-26T21:56:02.5834635Z test_ops 1/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.8_2c6e396511b659ac_.log
2025-08-26T21:56:02.5835236Z Running 0 items in this shard:
2025-08-26T21:56:02.5835410Z 
2025-08-26T21:56:02.5837553Z Running test_content_store 1/1 ... [2025-08-26 21:56:02.583497]
2025-08-26T21:56:02.5837962Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:56:02.5840996Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_content_store.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:02.583853]
2025-08-26T21:56:06.3552700Z 
2025-08-26T21:56:06.3553620Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_83e90554bd355b4b_.log
2025-08-26T21:56:06.3554333Z Running 0 items in this shard:
2025-08-26T21:56:06.3554511Z 
2025-08-26T21:56:06.3556842Z Running test_stateless 1/1 ... [2025-08-26 21:56:06.355425]
2025-08-26T21:56:06.3557236Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:56:06.3560723Z 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 21:56:06.355810]
2025-08-26T21:56:09.9767736Z 
2025-08-26T21:56:09.9768553Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_3cba20d7c4ae6d7e_.log
2025-08-26T21:56:09.9769331Z Running 0 items in this shard:
2025-08-26T21:56:09.9769513Z 
2025-08-26T21:56:09.9770932Z Running functorch/test_ac 1/1 ... [2025-08-26 21:56:09.976870]
2025-08-26T21:56:09.9771315Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:56:09.9774600Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:09.977244]
2025-08-26T21:56:15.8017692Z 
2025-08-26T21:56:15.8018768Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_b8c91647d889c076_.log
2025-08-26T21:56:15.8019467Z Running 0 items in this shard:
2025-08-26T21:56:15.8019652Z 
2025-08-26T21:56:15.8021245Z Running test_numpy_interop 1/1 ... [2025-08-26 21:56:15.801915]
2025-08-26T21:56:15.8021630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:56:15.8025601Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numpy_interop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:15.802315]
2025-08-26T21:56:19.5749419Z 
2025-08-26T21:56:19.5750443Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_3d92919576dd9136_.log
2025-08-26T21:56:19.5751134Z Running 0 items in this shard:
2025-08-26T21:56:19.5751305Z 
2025-08-26T21:56:19.5752326Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-08-26 21:56:19.575027]
2025-08-26T21:56:19.5752883Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:56:19.5756479Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:19.575387]
2025-08-26T21:56:25.9021531Z 
2025-08-26T21:56:25.9023809Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_4307f86bc79faa07_.log
2025-08-26T21:56:25.9024917Z Running 0 items in this shard:
2025-08-26T21:56:25.9025094Z 
2025-08-26T21:56:25.9025412Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-08-26 21:56:25.902284]
2025-08-26T21:56:25.9025814Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:56:25.9029141Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ufuncs_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 21:56:25.902672]
2025-08-26T21:56:29.3733792Z 
2025-08-26T21:56:29.3734660Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_91c8b8d74003d557_.log
2025-08-26T21:56:29.3735403Z Running 0 items in this shard:
2025-08-26T21:56:29.3735602Z 
2025-08-26T21:56:29.3736976Z Running test_out_dtype_op 1/1 ... [2025-08-26 21:56:29.373486]
2025-08-26T21:56:29.3737351Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:56:29.3740714Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_out_dtype_op.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:29.373833]
2025-08-26T21:56:33.2454261Z 
2025-08-26T21:56:33.2455165Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_694f6e46e94af459_.log
2025-08-26T21:56:33.2455863Z Running 0 items in this shard:
2025-08-26T21:56:33.2456049Z 
2025-08-26T21:56:33.2457818Z Running test_ops_gradients 1/2 ... [2025-08-26 21:56:33.245542]
2025-08-26T21:56:33.2458442Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:56:33.2462161Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_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 21:56:33.245934]
2025-08-26T21:56:39.1207979Z 
2025-08-26T21:56:39.1209141Z test_ops_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.2_93bcf7ead73b95af_.log
2025-08-26T21:56:39.1209866Z Running 0 items in this shard:
2025-08-26T21:56:39.1210068Z 
2025-08-26T21:56:39.1211516Z Running test_ops_gradients 2/2 ... [2025-08-26 21:56:39.120929]
2025-08-26T21:56:39.1212139Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:56:39.1215849Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:39.121329]
2025-08-26T21:56:44.9959930Z 
2025-08-26T21:56:44.9961126Z test_ops_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_2.2_53581a78d56a23e3_.log
2025-08-26T21:56:44.9961843Z Running 0 items in this shard:
2025-08-26T21:56:44.9962020Z 
2025-08-26T21:56:44.9962605Z Running functorch/test_control_flow 2/2 ... [2025-08-26 21:56:44.996037]
2025-08-26T21:56:44.9963276Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:56:44.9967003Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:44.996429]
2025-08-26T21:56:49.4188485Z 
2025-08-26T21:56:49.4189712Z functorch/test_control_flow 2/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_2.2_482e9960ea2a874f_.log
2025-08-26T21:56:49.4190789Z Running 0 items in this shard:
2025-08-26T21:56:49.4191004Z 
2025-08-26T21:56:49.4191907Z Running optim/test_lrscheduler 1/1 ... [2025-08-26 21:56:49.418980]
2025-08-26T21:56:49.4192534Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:56:49.4196454Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_lrscheduler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:49.419323]
2025-08-26T21:56:52.6873226Z 
2025-08-26T21:56:52.6874291Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_094e3e729f5f0dff_.log
2025-08-26T21:56:52.6875230Z 
2025-08-26T21:56:52.6879183Z Running test_quantization 3/4 ... [2025-08-26 21:56:52.687650]
2025-08-26T21:56:52.6879668Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:56:52.6883505Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:56:52.688081]
2025-08-26T21:56:57.9122037Z 
2025-08-26T21:56:57.9123208Z test_quantization 3/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_3.4_a457fc9883d086c9_.log
2025-08-26T21:56:57.9123918Z Running 0 items in this shard:
2025-08-26T21:56:57.9124114Z 
2025-08-26T21:57:00.7535949Z /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.
2025-08-26T21:57:00.7537336Z   import pkg_resources
2025-08-26T21:57:00.8167013Z /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.
2025-08-26T21:57:00.8168342Z   import pkg_resources
2025-08-26T21:57:00.8169596Z /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.
2025-08-26T21:57:00.8170849Z   import pkg_resources
2025-08-26T21:57:01.1185554Z Running inductor/test_halide 1/1 ... [2025-08-26 21:57:01.118099]
2025-08-26T21:57:01.1185968Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:57:01.1187327Z 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 21:57:01.118455]
2025-08-26T21:57:01.1758868Z Running inductor/test_autoheuristic 1/1 ... [2025-08-26 21:57:01.175449]
2025-08-26T21:57:01.1759351Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:57:01.1761677Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_autoheuristic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:01.175857]
2025-08-26T21:57:01.1785660Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-08-26 21:57:01.178308]
2025-08-26T21:57:01.1786090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:57:01.1789644Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:01.178658]
2025-08-26T21:57:07.9883946Z 
2025-08-26T21:57:07.9885252Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_b249d1148c2a7626_.log
2025-08-26T21:57:07.9885930Z 
2025-08-26T21:57:09.1128725Z 
2025-08-26T21:57:09.1129819Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_32c595ddbbd1499a_.log
2025-08-26T21:57:09.1131297Z Running 0 items in this shard:
2025-08-26T21:57:09.1131481Z 
2025-08-26T21:57:10.8651379Z 
2025-08-26T21:57:10.8652569Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_77d67c6c53f93a6e_.log
2025-08-26T21:57:10.8653209Z 
2025-08-26T21:57:11.8961739Z /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.
2025-08-26T21:57:11.8963104Z   import pkg_resources
2025-08-26T21:57:12.2906552Z Running dynamo/test_torchrec 1/1 ... [2025-08-26 21:57:12.290265]
2025-08-26T21:57:12.2907113Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:57:12.2909814Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:12.290704]
2025-08-26T21:57:12.9379359Z /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.
2025-08-26T21:57:12.9380683Z   import pkg_resources
2025-08-26T21:57:13.2987215Z Running test_openmp 1/1 ... [2025-08-26 21:57:13.298335]
2025-08-26T21:57:13.2987798Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:57:13.2989807Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_openmp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:13.298693]
2025-08-26T21:57:14.6343429Z /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.
2025-08-26T21:57:14.6344788Z   import pkg_resources
2025-08-26T21:57:14.9925867Z Running test_fx_experimental 1/1 ... [2025-08-26 21:57:14.992152]
2025-08-26T21:57:14.9926295Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:57:14.9927454Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_experimental.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:14.992499]
2025-08-26T21:57:16.4573335Z 
2025-08-26T21:57:16.4574171Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_365435fb19bdca43_.log
2025-08-26T21:57:16.4574914Z Running 0 items in this shard:
2025-08-26T21:57:16.4575088Z 
2025-08-26T21:57:20.1062268Z /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.
2025-08-26T21:57:20.1063600Z   import pkg_resources
2025-08-26T21:57:20.4739417Z Running test_binary_ufuncs 1/1 ... [2025-08-26 21:57:20.473407]
2025-08-26T21:57:20.4739903Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:57:20.4740896Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_binary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:20.473754]
2025-08-26T21:57:20.9775573Z 
2025-08-26T21:57:20.9776553Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_900cd1ed1bd9f36e_.log
2025-08-26T21:57:20.9778064Z Running 2 items in this shard: test/test_openmp.py::TestOpenMP_ParallelFor::test_n_threads, test/test_openmp.py::TestOpenMP_ParallelFor::test_one_thread
2025-08-26T21:57:20.9778869Z 
2025-08-26T21:57:24.8490721Z /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.
2025-08-26T21:57:24.8492795Z   import pkg_resources
2025-08-26T21:57:25.2279973Z Running torch_np/test_nep50_examples 1/1 ... [2025-08-26 21:57:25.227335]
2025-08-26T21:57:25.2280450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:57:25.2281739Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_nep50_examples.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:25.227860]
2025-08-26T21:57:31.3045132Z 
2025-08-26T21:57:31.3046033Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_b0fa20764e7cca9b_.log
2025-08-26T21:57:31.3528021Z Running 1573 items in this shard: test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_3j + array(3, complex64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_True + uint8(2), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array(1_0, float32) + 1e-14 == 1_0, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([0_1], float32) == float64(0_1), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([100], uint8) + 200, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 1, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 200, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 300, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + array(1, int64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + int64(1), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_0], float32) + 1e-14 == 1_0, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + 3, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + array(1_, float64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + float64(1_), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + int64(3), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_bool_(True) + 1, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(1) + 1j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(1) + 3e100, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(5) + 5j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int16(2) + 2, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int16(4) + 4j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int32(1) + 5j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(1) + 2, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(1) + 300, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(100) + 200, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar27_array27, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar28_array28, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar29_array29, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar30_array30, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar31_array31, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar32_array32, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar33_array33, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar34_array34, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar35_array35, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array10, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array11, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array12, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array13, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array14, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array15, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array16, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array17, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array9, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array18, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array19, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array20, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array21, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array22, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array23, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array24, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array25, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_2_0_array26, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array0, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array1, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array2, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array3, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array4, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array5, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array6, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array7, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_True_array8, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar27_array27, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar28_array28, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar29_array29, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar30_array30, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar31_array31, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar32_array32, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar33_array33, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar34_array34, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar35_array35, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array10, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array11, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array12, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array13, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array14, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array15, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array16, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array17, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_1_array9, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array18, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array19, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array20, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array21, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array22, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array23, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array24, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array25, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_2_0_array26, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array0, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array1, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array2, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array3, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array4, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array5, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array6, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array7, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_arctan2_scalar_True_array8, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar27_array27, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar28_array28, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar29_array29, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar30_array30, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar31_array31, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar32_array32, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar33_array33, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar34_array34, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar35_array35, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array10, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array11, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array12, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array13, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array14, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array15, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array16, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array17, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_1_array9, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_2_0_array18, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_2_0_array19, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_2_0_array20, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_2_0_array21, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_2_0_array22, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_bitwise_and_scalar_2_0_array23, 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2025-08-26T21:57:31.3992511Z 
2025-08-26T21:57:33.7947001Z 
2025-08-26T21:57:33.7948142Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_02e232678ba78512_.log
2025-08-26T21:57:33.8200918Z Running 724 items in this shard: test/test_fx_experimental.py::TestFXExperimental::test_annotate_getitem_node, test/test_fx_experimental.py::TestFXExperimental::test_annotate_returns_with_schema, test/test_fx_experimental.py::TestFXExperimental::test_aot_based_partition, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_no_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_empty_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_multiline_message, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion_mixed_dtype, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion_not_running_state, test/test_fx_experimental.py::TestFXExperimental::test_cost_aware_partition, test/test_fx_experimental.py::TestFXExperimental::test_fetch, test/test_fx_experimental.py::TestFXExperimental::test_find_single_partition, test/test_fx_experimental.py::TestFXExperimental::test_lack_of_devices, test/test_fx_experimental.py::TestFXExperimental::test_large_node_error, test/test_fx_experimental.py::TestFXExperimental::test_merge_matmuls, test/test_fx_experimental.py::TestFXExperimental::test_meta_tracer, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args_perserve_type, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args_preserve_meta, test/test_fx_experimental.py::TestFXExperimental::test_normalize_binary_operators, test/test_fx_experimental.py::TestFXExperimental::test_normalize_modules_exhaustive, test/test_fx_experimental.py::TestFXExperimental::test_optimize_for_inference_cpu, 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test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_sin_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_sinc_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_sinh_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_slice_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_slice_scatter_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_softmax_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_softmax_with_dtype_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_sort_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_sparse_mm_reduce_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_sparse_sampled_addmm_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_airy_ai_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_bessel_j0_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_bessel_j1_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_bessel_y0_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_bessel_y1_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_chebyshev_polynomial_t_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_chebyshev_polynomial_u_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_chebyshev_polynomial_v_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_chebyshev_polynomial_w_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_entr_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_erfcx_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_hermite_polynomial_h_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_hermite_polynomial_he_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_i0e_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_i1_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_i1e_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_laguerre_polynomial_l_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_legendre_polynomial_p_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_log_ndtr_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_modified_bessel_i0_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_modified_bessel_i1_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_modified_bessel_k0_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_modified_bessel_k1_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_ndtr_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_ndtri_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_scaled_modified_bessel_k0_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_scaled_modified_bessel_k1_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_u_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_v_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_w_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_spherical_bessel_j0_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_xlog1py_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_special_zeta_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_split_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_split_list_args_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_split_with_sizes_copy_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_split_with_sizes_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_sqrt_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_square_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_squeeze_copy_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_squeeze_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_squeeze_multiple_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_stack_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_std_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_std_mean_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_std_mean_unbiased_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_std_unbiased_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_stft_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_sub_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_sum_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_sum_to_size_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_svd_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_svd_lowrank_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_t_copy_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_t_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_take_along_dim_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_take_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_tan_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_tanh_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_tensor_split_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_tensordot_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_tile_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_to_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_to_sparse_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_topk_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_torch_ops_aten__efficient_attention_forward_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_torch_ops_aten__safe_softmax_default_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_trace_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_transpose_copy_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_transpose_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_trapezoid_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_trapz_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_triangular_solve_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_tril_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_triu_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_true_divide_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_trunc_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_unbind_copy_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_unbind_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_unflatten_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_unfold_copy_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_unfold_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_uniform_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_unique_consecutive_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_unique_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_unsafe_chunk_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_unsafe_split_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_unsqueeze_copy_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_unsqueeze_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_var_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_var_mean_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_var_mean_unbiased_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_var_unbiased_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_vdot_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_view_as_complex_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_view_as_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_view_copy_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_view_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_vsplit_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_vstack_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_where_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_xlogy_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_zero__cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_zeros_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_operator_exhaustive_zeros_like_cuda_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCUDA::test_normalize_quantized_eb_cuda
2025-08-26T21:57:33.8443610Z 
2025-08-26T21:57:34.9832203Z /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.
2025-08-26T21:57:34.9833657Z   import pkg_resources
2025-08-26T21:57:35.3864763Z Running test_module_tracker 1/1 ... [2025-08-26 21:57:35.386034]
2025-08-26T21:57:35.3865198Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:57:35.3867510Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_module_tracker.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:35.386420]
2025-08-26T21:57:37.6121283Z /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.
2025-08-26T21:57:37.6122651Z   import pkg_resources
2025-08-26T21:57:37.9678526Z Running test_ops 1/8 ... [2025-08-26 21:57:37.967421]
2025-08-26T21:57:37.9678929Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:57:37.9680520Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:37.967776]
2025-08-26T21:57:39.5273079Z 
2025-08-26T21:57:39.5274290Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_1cb7072eb7fb2bae_.log
2025-08-26T21:57:39.5275759Z Running 3 items in this shard: test/test_module_tracker.py::TestModuleTracker::test_bw_detection, test/test_module_tracker.py::TestModuleTracker::test_confused_hierarchy, test/test_module_tracker.py::TestModuleTracker::test_module_hierarchy
2025-08-26T21:57:39.5276787Z 
2025-08-26T21:57:43.3009189Z /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.
2025-08-26T21:57:43.3010591Z   import pkg_resources
2025-08-26T21:57:43.6508109Z Running test_content_store 1/1 ... [2025-08-26 21:57:43.650397]
2025-08-26T21:57:43.6508529Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:57:43.6510088Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_content_store.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:57:43.650749]
2025-08-26T21:57:53.1824559Z 
2025-08-26T21:57:53.1825541Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_200880d1f45821a4_.log
2025-08-26T21:57:53.1827409Z Running 4 items in this shard: test/test_content_store.py::TestContentStoreCUDA::test_basic_cuda, test/test_content_store.py::TestContentStoreCUDA::test_load_tensor_cuda, test/test_content_store.py::TestContentStoreCUDA::test_repeated_hash_cuda, test/test_content_store.py::TestContentStoreCUDA::test_scalar_cuda
2025-08-26T21:57:53.1828552Z 
2025-08-26T21:57:56.9256407Z /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.
2025-08-26T21:57:56.9257783Z   import pkg_resources
2025-08-26T21:57:57.2824959Z Running test_stateless 1/1 ... [2025-08-26 21:57:57.282043]
2025-08-26T21:57:57.2825503Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:57:57.2827806Z 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 21:57:57.282450]
2025-08-26T21:58:05.9630461Z 
2025-08-26T21:58:05.9631358Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_b0daf478a78ea073_.log
2025-08-26T21:58:05.9646864Z 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
2025-08-26T21:58:05.9660487Z 
2025-08-26T21:58:09.6434465Z /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.
2025-08-26T21:58:09.6435835Z   import pkg_resources
2025-08-26T21:58:10.0046671Z Running functorch/test_ac 1/1 ... [2025-08-26 21:58:10.004168]
2025-08-26T21:58:10.0047123Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:58:10.0048792Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:10.004560]
2025-08-26T21:58:36.3213413Z 
2025-08-26T21:58:36.3214270Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_7c233ccbad3e1498_.log
2025-08-26T21:58:36.3216945Z Running 9 items in this shard: test/functorch/test_ac.py::MemoryBudgetTest::test_attention_vs_linear, test/functorch/test_ac.py::MemoryBudgetTest::test_custom_triton_kernel, test/functorch/test_ac.py::MemoryBudgetTest::test_manual_ac, test/functorch/test_ac.py::MemoryBudgetTest::test_matmul_even_chain, test/functorch/test_ac.py::MemoryBudgetTest::test_matmul_uneven_chain, test/functorch/test_ac.py::MemoryBudgetTest::test_prioritize_cheaper_matmul, test/functorch/test_ac.py::MemoryBudgetTest::test_prioritize_cheaper_matmul2, test/functorch/test_ac.py::MemoryBudgetTest::test_profile, test/functorch/test_ac.py::MemoryBudgetTest::test_rematerializes_cheap
2025-08-26T21:58:36.3218949Z 
2025-08-26T21:58:40.0443380Z /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.
2025-08-26T21:58:40.0444800Z   import pkg_resources
2025-08-26T21:58:40.4087837Z Running test_numpy_interop 1/1 ... [2025-08-26 21:58:40.408091]
2025-08-26T21:58:40.4088280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:58:40.4089579Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numpy_interop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:40.408514]
2025-08-26T21:58:45.0312444Z 
2025-08-26T21:58:45.0313906Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_7c7479b2fa929d0c_.log
2025-08-26T21:58:45.0325376Z Running 44 items in this shard: test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_bool, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_complex128, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_complex64, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_float16, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_float32, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_float64, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_int16, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_int32, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_int64, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_int8, test/test_numpy_interop.py::TestNumPyInteropCUDA::test___eq___cuda_uint8, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_ctor_with_invalid_numpy_array_sequence_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_ctor_with_numpy_scalar_ctor_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_empty_tensors_interop_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_from_list_of_ndarray_warning_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_from_numpy_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_from_numpy_no_leak_on_invalid_dtype_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_from_numpy_zero_element_type_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_has_storage_numpy_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_multiplication_numpy_scalar_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_ndarray_astype_object_graph_break_2_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_ndarray_astype_object_graph_break_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_array_interface_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_index_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_index_multi_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_non_writeable_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_bfloat16, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_bool, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_complex128, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_complex64, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_float16, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_float32, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_float64, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_int16, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_int32, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_int64, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_int8, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_scalar_cmp_cuda_uint8, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_numpy_unresizable_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_parse_numpy_int_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_parse_numpy_int_overflow_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_to_numpy_bool_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_to_numpy_cuda, test/test_numpy_interop.py::TestNumPyInteropCUDA::test_to_numpy_force_argument_cuda
2025-08-26T21:58:45.0335522Z 
2025-08-26T21:58:48.7190447Z /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.
2025-08-26T21:58:48.7191595Z   import pkg_resources
2025-08-26T21:58:49.0842180Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-08-26 21:58:49.083719]
2025-08-26T21:58:49.0843657Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:58:49.0844852Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:58:49.084109]
2025-08-26T21:58:59.1692262Z 
2025-08-26T21:58:59.1694357Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_4999c154f709ab70_.log
2025-08-26T21:58:59.1696927Z Running 1 items in this shard: test/cpp_extensions/python_agnostic_extension/test/test_python_agnostic.py::TestPythonAgnosticCUDA::test_extension_is_python_agnostic_cuda
2025-08-26T21:58:59.1697667Z 
2025-08-26T21:59:02.8417591Z /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.
2025-08-26T21:59:02.8418933Z   import pkg_resources
2025-08-26T21:59:03.2008177Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-08-26 21:59:03.200389]
2025-08-26T21:59:03.2008779Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:59:03.2010226Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ufuncs_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 21:59:03.200730]
2025-08-26T21:59:08.3759123Z 
2025-08-26T21:59:08.3760237Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_7ff60666c7b767df_.log
2025-08-26T21:59:08.3879692Z Running 371 items in this shard: test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_broadcast_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc1, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc10, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc11, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc12, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc13, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc14, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc15, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc16, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc2, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc3, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc4, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc5, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc6, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc7, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc8, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc9, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc1, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc10, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc11, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc12, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc13, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc14, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc15, 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test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc10_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc10_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc10_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc11_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc11_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc11_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc12_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc12_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc12_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc13_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc13_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc13_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc14_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc14_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc14_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc0_op0_iop0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc1_op1_iop1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc2_op2_iop2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc0_op0_iop0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc1_op1_iop1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc2_op2_iop2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestUfuncDtypeKwd::test_binary_ufunc_dtype, test/torch_np/test_ufuncs_basic.py::TestUfuncDtypeKwd::test_binary_ufunc_dtype_and_out
2025-08-26T21:59:08.3988452Z 
2025-08-26T21:59:12.1339351Z /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.
2025-08-26T21:59:12.1340725Z   import pkg_resources
2025-08-26T21:59:12.4995652Z Running test_out_dtype_op 1/1 ... [2025-08-26 21:59:12.499181]
2025-08-26T21:59:12.4996469Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:59:12.4998911Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_out_dtype_op.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 21:59:12.499558]
2025-08-26T21:59:21.0308847Z 
2025-08-26T21:59:21.0310151Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_28833148a1aa16cc_.log
2025-08-26T21:59:21.0313323Z Running 12 items in this shard: test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_dynamo, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_inductor_decomp, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_inductor_decomp_trace, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_int_mm_default_trace, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_make_fx, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_mm_numerical, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_mul_scalar_numerical, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_no_autograd, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_non_functional, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_non_op_overload, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_op_functional, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_wrong_output
2025-08-26T21:59:21.0315704Z 
2025-08-26T21:59:24.6517009Z /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.
2025-08-26T21:59:24.6532880Z   import pkg_resources
2025-08-26T21:59:25.0135300Z Running test_ops_gradients 1/2 ... [2025-08-26 21:59:25.013110]
2025-08-26T21:59:25.0135735Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T21:59:25.0137343Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_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 21:59:25.013446]
2025-08-26T22:00:51.1973637Z 
2025-08-26T22:00:51.1974551Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_5a070170e71027d2_.log
2025-08-26T22:00:51.5654429Z Running 12857 items in this shard: test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___add___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___add___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___add___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___add___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___add___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___add___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___add___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___add___not_implemented_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___and___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___and___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___and___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___and___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___and___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___and___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___and___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___and___not_implemented_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___eq___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___eq___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___eq___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___eq___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___eq___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___eq___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___eq___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___eq___not_implemented_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___floordiv___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___floordiv___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___floordiv___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___floordiv___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___floordiv___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___floordiv___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___floordiv___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___floordiv___not_implemented_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ge___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ge___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ge___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ge___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ge___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ge___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ge___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ge___not_implemented_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___gt___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___gt___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___gt___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___gt___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___gt___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___gt___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___gt___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___gt___not_implemented_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iadd___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iadd___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iadd___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iadd___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iadd___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iadd___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iadd___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iadd___not_implemented_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iand___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iand___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iand___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iand___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iand___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iand___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iand___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___iand___not_implemented_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ifloordiv___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ifloordiv___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ifloordiv___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ifloordiv___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ifloordiv___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ifloordiv___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ifloordiv___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ifloordiv___not_implemented_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ilshift___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ilshift___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ilshift___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ilshift___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ilshift___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ilshift___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ilshift___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ilshift___not_implemented_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imod___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imod___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imod___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imod___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imod___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imod___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imod___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imod___not_implemented_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imul___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imul___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imul___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imul___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imul___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imul___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imul___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___imul___not_implemented_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ior___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ior___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ior___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ior___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ior___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ior___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ior___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ior___not_implemented_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ipow___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ipow___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ipow___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ipow___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ipow___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ipow___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ipow___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___ipow___not_implemented_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___irshift___not_implemented_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___irshift___not_implemented_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___irshift___not_implemented_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___irshift___not_implemented_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___irshift___not_implemented_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___irshift___not_implemented_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___irshift___not_implemented_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test___irshift___not_implemented_cuda_uint8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_batch_vs_slicing_float_power_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_batch_vs_slicing_float_power_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_batch_vs_slicing_float_power_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_batch_vs_slicing_float_power_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_batch_vs_slicing_float_power_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_batch_vs_slicing_float_power_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_batch_vs_slicing_float_power_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_batch_vs_slicing_float_power_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_batch_vs_slicing_float_power_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_batch_vs_slicing_floor_divide_cuda_bfloat16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_broadcasting_maximum_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_broadcasting_min_binary_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_broadcasting_min_binary_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_broadcasting_minimum_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_broadcasting_minimum_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_broadcasting_ne_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_broadcasting_ne_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_broadcasting_pow_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_broadcasting_pow_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_broadcasting_remainder_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_broadcasting_remainder_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_broadcasting_sub_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_broadcasting_sub_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_cdiv_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_cmul_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_bfloat16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_bool_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_complex128_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_complex128_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_complex128_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_complex128_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_complex64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_complex64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_complex64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_complex64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_complex64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_float16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_float32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_float32_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_float32_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_float32_float16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int8_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int8_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_uint8_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_uint8_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_comparison_ops_type_promotion_and_broadcasting_cuda_uint8_int64, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_no_rounding_mode_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_no_rounding_mode_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_no_rounding_mode_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_no_rounding_mode_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_no_rounding_mode_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_no_rounding_mode_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_no_rounding_mode_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_no_rounding_mode_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_no_rounding_mode_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_trunc_rounding_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_trunc_rounding_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_trunc_rounding_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_trunc_rounding_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_trunc_rounding_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_trunc_rounding_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_trunc_rounding_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_trunc_rounding_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_div_trunc_rounding_cuda_uint8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ge_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ge_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ge_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ge_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ge_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ge_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ge_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ge_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ge_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_gt_cuda_bfloat16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_heaviside_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_heaviside_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_heaviside_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_heaviside_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_heaviside_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_heaviside_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_heaviside_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_heaviside_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_heaviside_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_hypot_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_hypot_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_hypot_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_hypot_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_igamma_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_igamma_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_igammac_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_igammac_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_isclose_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_isclose_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_isclose_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_isclose_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_isclose_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_isclose_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_isclose_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_isclose_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_isclose_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_isclose_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_isclose_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_isclose_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_return_by_ref_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_return_by_ref_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_return_by_ref_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_return_by_ref_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_return_by_ref_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_return_by_ref_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_return_by_ref_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_return_by_ref_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_return_by_ref_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_return_by_ref_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_return_by_ref_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_jiterator_binary_return_by_ref_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_lcm_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_lcm_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_lcm_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_lcm_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_lcm_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ldexp_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ldexp_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ldexp_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ldexp_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ldexp_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ldexp_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ldexp_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ldexp_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ldexp_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ldexp_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ldexp_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_ldexp_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_le_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_le_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_le_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_le_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_le_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_le_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_le_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_le_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_le_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_le_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logaddexp_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logaddexp_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logaddexp_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logaddexp_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_and_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_and_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_and_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_and_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_and_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_and_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_and_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_and_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_and_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_and_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_and_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_and_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_or_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_or_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_or_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_or_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_or_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_or_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_or_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_logical_or_cuda_int16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_max_binary_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_max_binary_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_max_binary_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_max_binary_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_max_binary_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_max_binary_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_max_binary_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_maximum_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_maximum_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_maximum_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_maximum_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_maximum_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_maximum_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_maximum_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_maximum_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_maximum_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_maximum_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_min_binary_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_min_binary_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_min_binary_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_min_binary_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_min_binary_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_min_binary_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_min_binary_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_min_binary_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_min_binary_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_min_binary_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_minimum_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_minimum_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_minimum_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_minimum_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_minimum_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_minimum_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_minimum_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_minimum_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_minimum_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_minimum_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_mul_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_mul_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_mul_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_mul_cuda_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_mul_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_mul_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_mul_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_mul_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_mul_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_mul_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_mul_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_mul_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_mul_cuda_uint8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_remainder_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_remainder_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_remainder_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_remainder_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_remainder_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_remainder_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_remainder_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_remainder_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_remainder_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_rsub_cuda_bfloat16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_chebyshev_polynomial_t_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_chebyshev_polynomial_t_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_chebyshev_polynomial_t_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_chebyshev_polynomial_t_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_chebyshev_polynomial_t_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_chebyshev_polynomial_t_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_chebyshev_polynomial_t_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_chebyshev_polynomial_t_cuda_uint8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_u_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_u_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_u_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_u_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_u_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_u_cuda_int64, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_w_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_w_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_w_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_w_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_xlog1py_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_xlog1py_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_xlog1py_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_every_other_special_xlog1py_cuda_float32, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_floor_rounding_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_floor_rounding_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_no_rounding_mode_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_no_rounding_mode_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_no_rounding_mode_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_no_rounding_mode_cuda_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_no_rounding_mode_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_no_rounding_mode_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_no_rounding_mode_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_no_rounding_mode_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_no_rounding_mode_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_no_rounding_mode_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_no_rounding_mode_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_no_rounding_mode_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_no_rounding_mode_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_trunc_rounding_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_trunc_rounding_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_trunc_rounding_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_trunc_rounding_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_trunc_rounding_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_trunc_rounding_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_trunc_rounding_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_trunc_rounding_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_div_trunc_rounding_cuda_uint8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_eq_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_eq_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_eq_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_float_power_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_float_power_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_float_power_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_float_power_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_float_power_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_float_power_cuda_float32, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_gcd_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_ge_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_ge_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_ge_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_ge_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_ge_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_ge_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_ge_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_ge_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_ge_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_ge_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_gt_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_gt_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_gt_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_gt_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_gt_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_gt_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_gt_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_gt_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_gt_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_gt_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_heaviside_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_heaviside_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_heaviside_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_heaviside_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_heaviside_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_heaviside_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_heaviside_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_heaviside_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_heaviside_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_heaviside_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_hypot_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_hypot_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_hypot_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_hypot_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_igamma_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_igamma_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_igammac_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_igammac_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_isclose_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_isclose_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_isclose_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_isclose_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_isclose_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_isclose_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_isclose_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_isclose_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_isclose_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_isclose_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_isclose_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_isclose_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_lcm_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_lcm_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_lcm_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_lcm_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_lcm_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_le_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_le_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_le_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_le_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_le_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_le_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_le_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_le_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_le_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_le_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_logaddexp_cuda_bfloat16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_xlogy_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_xlogy_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_xlogy_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_xlogy_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_xlogy_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_xlogy_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_xlogy_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_xlogy_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed__refs_xlogy_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_add_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_add_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_add_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_add_cuda_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_add_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_add_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_add_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_add_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_add_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_add_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_add_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_add_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_add_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_atan2_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_atan2_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_atan2_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_atan2_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_atan2_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_atan2_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_atan2_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_atan2_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_atan2_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_atan2_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_and_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_and_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_and_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_and_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_and_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_and_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_left_shift_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_left_shift_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_left_shift_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_left_shift_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_left_shift_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_or_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_or_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_or_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_or_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_or_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_or_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_right_shift_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_right_shift_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_right_shift_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_right_shift_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_right_shift_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_xor_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_xor_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_xor_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_xor_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_xor_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_bitwise_xor_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_max_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_max_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_max_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_max_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_max_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_max_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_max_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_max_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_max_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_max_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_min_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_min_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_min_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_min_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_min_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_min_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_min_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_min_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_min_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_clamp_min_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_complex_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_complex_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_complex_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_copysign_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_copysign_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_copysign_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_copysign_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_copysign_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_copysign_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_copysign_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_copysign_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_copysign_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_copysign_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_floor_rounding_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_floor_rounding_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_floor_rounding_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_floor_rounding_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_floor_rounding_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_floor_rounding_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_floor_rounding_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_floor_rounding_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_floor_rounding_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_no_rounding_mode_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_no_rounding_mode_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_no_rounding_mode_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_no_rounding_mode_cuda_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_no_rounding_mode_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_no_rounding_mode_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_no_rounding_mode_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_no_rounding_mode_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_no_rounding_mode_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_no_rounding_mode_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_no_rounding_mode_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_no_rounding_mode_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_no_rounding_mode_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_trunc_rounding_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_trunc_rounding_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_trunc_rounding_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_trunc_rounding_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_trunc_rounding_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_trunc_rounding_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_trunc_rounding_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_trunc_rounding_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_div_trunc_rounding_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_eq_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_eq_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_eq_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_eq_cuda_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_eq_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_eq_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_eq_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_eq_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_eq_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_eq_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_eq_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_eq_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_eq_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_float_power_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_float_power_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_float_power_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_float_power_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_float_power_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_float_power_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_float_power_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_float_power_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_float_power_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_float_power_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_float_power_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_float_power_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_floor_divide_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_floor_divide_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_floor_divide_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_floor_divide_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_floor_divide_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_floor_divide_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_floor_divide_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_floor_divide_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_floor_divide_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmax_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmax_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmax_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmax_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmax_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmax_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmax_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmax_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmax_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmax_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmin_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmin_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmin_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmin_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmin_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmin_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmin_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmin_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmin_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmin_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmod_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmod_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmod_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmod_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmod_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmod_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmod_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmod_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_fmod_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gcd_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gcd_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gcd_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gcd_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gcd_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ge_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ge_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ge_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ge_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ge_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ge_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ge_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ge_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ge_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ge_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gt_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gt_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gt_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gt_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gt_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gt_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gt_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gt_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gt_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_gt_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_heaviside_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_heaviside_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_heaviside_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_heaviside_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_heaviside_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_heaviside_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_heaviside_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_heaviside_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_heaviside_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_heaviside_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_hypot_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_hypot_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_hypot_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_hypot_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_igamma_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_igamma_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_igammac_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_igammac_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_isclose_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_isclose_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_isclose_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_isclose_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_isclose_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_isclose_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_isclose_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_isclose_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_isclose_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_isclose_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_isclose_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_isclose_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_return_by_ref_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_return_by_ref_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_return_by_ref_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_return_by_ref_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_return_by_ref_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_return_by_ref_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_return_by_ref_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_return_by_ref_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_return_by_ref_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_return_by_ref_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_return_by_ref_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_jiterator_binary_return_by_ref_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lcm_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lcm_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lcm_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lcm_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lcm_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ldexp_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ldexp_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ldexp_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ldexp_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ldexp_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ldexp_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ldexp_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ldexp_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ldexp_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ldexp_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ldexp_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_ldexp_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_le_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_le_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_le_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_le_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_le_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_le_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_le_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_le_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_le_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_le_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logaddexp_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logaddexp_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logaddexp_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logaddexp_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_and_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_and_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_and_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_and_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_and_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_and_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_and_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_and_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_and_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_and_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_and_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_and_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_or_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_or_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_or_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_or_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_or_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_or_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_or_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_or_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_or_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_or_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_or_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_or_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_xor_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_xor_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_xor_cuda_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_xor_cuda_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_xor_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_xor_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_xor_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_xor_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_xor_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_xor_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_xor_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_logical_xor_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lt_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lt_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lt_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lt_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lt_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lt_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lt_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lt_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lt_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_lt_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_max_binary_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_max_binary_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_max_binary_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_max_binary_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_max_binary_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_max_binary_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_max_binary_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_max_binary_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_max_binary_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_max_binary_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_maximum_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_maximum_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_maximum_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_maximum_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_maximum_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_maximum_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_maximum_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_maximum_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_maximum_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_maximum_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_min_binary_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_min_binary_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_min_binary_cuda_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_min_binary_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_min_binary_cuda_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_min_binary_cuda_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_min_binary_cuda_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_min_binary_cuda_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_min_binary_cuda_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_min_binary_cuda_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_minimum_cuda_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_minimum_cuda_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_contig_vs_transposed_minimum_cuda_float16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_not_broadcastable_min_binary_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_not_broadcastable_minimum_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_not_broadcastable_mul_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_not_broadcastable_ne_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_not_broadcastable_nextafter_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_not_broadcastable_polar_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_not_broadcastable_pow_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_not_broadcastable_remainder_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_not_broadcastable_rsub_cuda_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_not_broadcastable_special_chebyshev_polynomial_t_cuda_float32, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_zeta_cuda_uint8_uint8
2025-08-26T22:00:51.9053274Z 
2025-08-26T22:00:54.8817672Z /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.
2025-08-26T22:00:54.8819056Z   import pkg_resources
2025-08-26T22:00:55.2345534Z Running test_ops_gradients 2/2 ... [2025-08-26 22:00:55.234146]
2025-08-26T22:00:55.2346240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:00:55.2347883Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 22:00:55.234509]
2025-08-26T22:07:12.0863574Z 
2025-08-26T22:07:12.0866207Z test_ops 1/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.8_a7f0410805dd2ba6_.log
2025-08-26T22:07:12.1910253Z Running 4245 items in this shard: test/test_ops.py::TestCommonCUDA::test_compare_cpu___radd___cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs__conversions_bfloat16_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs__conversions_byte_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs__conversions_half_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_contiguous_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_fft_ifftshift_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_istft_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_logsumexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_narrow_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_narrow_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_new_full_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_nn_functional_hardshrink_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_nn_functional_poisson_nll_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_nn_functional_softmax_with_dtype_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_permute_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_repeat_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_special_log_softmax_with_dtype_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_tril_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_unflatten_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__upsample_bilinear2d_aa_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_arange_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_baddbmm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_bfloat16_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_bmm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_cdist_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_char_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_combinations_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_cumprod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_cumsum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_cumulative_trapezoid_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_dsplit_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_dstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_expand_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_full_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_hypot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_index_add_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_index_put_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_kron_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_lerp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_lu_factor_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_matrix_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_matrix_rank_hermitian_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_pinv_hermitian_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_solve_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_svd_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_logaddexp2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_mH_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_masked_logaddexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_masked_median_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_max_reduction_with_dim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_native_dropout_backward_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_new_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_dropout2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_feature_alpha_dropout_with_train_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_fractional_max_pool3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_grid_sample_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_hardtanh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_hinge_embedding_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_instance_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_pad_circular_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_pad_replicate_negative_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_pixel_unshuffle_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_unfold_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_normal_in_place_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_ones_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_outer_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_scatter_reduce_amax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_sparse_mm_reduce_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_special_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_special_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_special_hermite_polynomial_he_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_split_list_args_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_tensordot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_trapz_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_unique_consecutive_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_view_as_complex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_vsplit_cuda_float32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing___getitem___cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing__chunk_cat_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_alias_copy_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_as_strided_scatter_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_atleast_1d_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_atleast_2d_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_block_diag_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_cdouble_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_cosh_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_empty_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_isreal_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_long_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_mH_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_nanmean_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_neg_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_nn_functional_conv_transpose1d_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_split_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_sqrt_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_squeeze_copy_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_tanh_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_transpose_copy_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_unfold_copy_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_dtypes___radd___cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs__conversions_chalf_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs__conversions_short_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_acosh_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_allclose_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_asinh_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_atanh_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_bitwise_or_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_broadcast_tensors_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_clamp_min_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_cos_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_div_trunc_rounding_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_dsplit_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_equal_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_erfc_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_expand_as_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_expm1_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fft_fft2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fft_ifftn_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fft_irfft2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_hypot_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_i0_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_isneginf_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_istft_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_linalg_diagonal_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_log_softmax_with_dtype_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_logical_xor_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_logsumexp_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nan_to_num_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_new_empty_strided_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_new_full_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nextafter_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_elu_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_hardtanh_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_nll_loss_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_pixel_unshuffle_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_normal_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_rsqrt_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_sigmoid_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_sign_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_sin_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_special_entr_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_special_erfcx_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_special_log_softmax_with_dtype_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_special_zeta_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_sum_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_tan_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_addcmul_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_alias_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_amax_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_arange_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_argmin_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_argsort_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_as_strided_partial_views_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_atan_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_broadcast_shapes_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_cartesian_prod_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_conj_physical_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_count_nonzero_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_cross_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_div_floor_rounding_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_ihfft2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_flipud_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_frac_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_full_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_gradient_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_isfinite_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_isin_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_isneginf_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_jiterator_binary_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_jiterator_unary_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_kron_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_kthvalue_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_eigvalsh_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_lu_solve_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_matrix_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_matrix_rank_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_vander_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_vecdot_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_logcumsumexp_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_logical_xor_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_logsumexp_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_mean_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_matrix_exp_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_meshgrid_variadic_tensors_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_min_binary_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_msort_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nanmean_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_native_batch_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_new_full_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_adaptive_max_pool2d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_avg_pool1d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_batch_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_conv1d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_conv_transpose2d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_interpolate_bicubic_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_max_unpool3d_grad_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_mish_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_pairwise_distance_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_prelu_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_smooth_l1_loss_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_unfold_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_qr_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_quantile_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_remainder_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_short_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_signal_windows_hann_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_bessel_j1_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_erfcx_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_i1e_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_laguerre_polynomial_l_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_modified_bessel_i1_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_shifted_chebyshev_polynomial_u_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_sqrt_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_tensor_split_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_to_sparse_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_unfold_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_unsqueeze_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_var_mean_cuda, test/test_ops.py::TestCommonCUDA::test_errors___radd___cuda, test/test_ops.py::TestCommonCUDA::test_errors___rmul___cuda, test/test_ops.py::TestCommonCUDA::test_errors_bitwise_left_shift_cuda, test/test_ops.py::TestCommonCUDA::test_errors_bitwise_xor_cuda, test/test_ops.py::TestCommonCUDA::test_errors_bucketize_cuda, test/test_ops.py::TestCommonCUDA::test_errors_diag_embed_cuda, test/test_ops.py::TestCommonCUDA::test_errors_dot_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fft_fft2_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fft_irfft2_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fft_rfft2_cuda, test/test_ops.py::TestCommonCUDA::test_errors_fmin_cuda, test/test_ops.py::TestCommonCUDA::test_errors_gather_cuda, test/test_ops.py::TestCommonCUDA::test_errors_gradient_cuda, test/test_ops.py::TestCommonCUDA::test_errors_isclose_cuda, test/test_ops.py::TestCommonCUDA::test_errors_masked_select_cuda, test/test_ops.py::TestCommonCUDA::test_errors_mean_cuda, test/test_ops.py::TestCommonCUDA::test_errors_median_cuda, test/test_ops.py::TestCommonCUDA::test_errors_narrow_copy_cuda, test/test_ops.py::TestCommonCUDA::test_errors_narrow_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nextafter_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_adaptive_avg_pool3d_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_adaptive_max_pool1d_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_avg_pool1d_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_huber_loss_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_l1_loss_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_prelu_cuda, test/test_ops.py::TestCommonCUDA::test_errors_pow_cuda, test/test_ops.py::TestCommonCUDA::test_errors_rot90_cuda, test/test_ops.py::TestCommonCUDA::test_errors_signal_windows_kaiser_cuda, test/test_ops.py::TestCommonCUDA::test_errors_special_chebyshev_polynomial_u_cuda, test/test_ops.py::TestCommonCUDA::test_errors_special_legendre_polynomial_p_cuda, test/test_ops.py::TestCommonCUDA::test_errors_special_shifted_chebyshev_polynomial_t_cuda, test/test_ops.py::TestCommonCUDA::test_errors_tril_cuda, test/test_ops.py::TestCommonCUDA::test_errors_true_divide_cuda, test/test_ops.py::TestCommonCUDA::test_errors_unbind_cuda, test/test_ops.py::TestCommonCUDA::test_errors_view_as_cuda, test/test_ops.py::TestCommonCUDA::test_errors_view_copy_cuda, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_argmin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_cholesky_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_div_floor_rounding_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_eq_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_erfc_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_expm1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_floor_divide_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_histc_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_hypot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_index_reduce_amin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_le_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_cholesky_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_det_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_lu_factor_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_lu_factor_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_matrix_rank_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_tensorinv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_vector_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_log_softmax_with_dtype_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_masked_select_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_mode_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_mvlgamma_mvlgamma_p_3_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_nextafter_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_nn_functional_linear_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_normal_number_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_permute_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_remainder_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_round_decimals_0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_sigmoid_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_u_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_xlog1py_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices___rmatmul___cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices___rmul___cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices__segment_reduce_offsets_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices__softmax_backward_data_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices__unsafe_masked_index_put_accumulate_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_abs_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_acosh_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_add_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_addcdiv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_addcmul_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_addr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_amax_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_aminmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_any_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_any_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_arange_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_argmax_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_argwhere_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_as_strided_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_atanh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_atanh_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_atleast_2d_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bernoulli_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bitwise_right_shift_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bmm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_broadcast_tensors_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_byte_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cartesian_prod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_chalf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cholesky_inverse_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_clamp_max_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_clone_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_combinations_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_complex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cosh_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_count_nonzero_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cov_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_deg2rad_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_diagonal_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_diagonal_scatter_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_div_trunc_rounding_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_eq_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_equal_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_erfc_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_expand_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_hfft2_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_ifftshift_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_ihfft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_ihfftn_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_flipud_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_floor_divide_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fmod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fmod_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_ge_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_gradient_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_half_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_i0_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_igamma_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_index_add_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_int_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_isin_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_isposinf_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_jiterator_binary_return_by_ref_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_cholesky_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_lstsq_grad_oriented_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_lu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_matrix_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_multi_dot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_norm_subgradients_at_zero_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_pinv_hermitian_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_solve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_logcumsumexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_logical_xor_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_logit_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_logspace_tensor_overload_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_long_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_lt_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_cumprod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_logsumexp_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_scatter_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_select_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_var_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_matmul_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_maximum_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_min_binary_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_minimum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_minimum_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_msort_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nan_to_num_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nansum_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_narrow_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_adaptive_avg_pool1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_adaptive_max_pool2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_alpha_dropout_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_binary_cross_entropy_with_logits_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_dropout3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_fractional_max_pool2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_hinge_embedding_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_interpolate_area_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_layer_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_max_unpool1d_grad_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_mish_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_multilabel_soft_margin_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_pad_replicate_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_pad_replicate_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_pdist_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_pixel_shuffle_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_relu6_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_silu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_softmin_with_dtype_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_softsign_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_threshold_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_ones_like_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_polar_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_polygamma_polygamma_n_4_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_rand_like_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_randint_like_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_real_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_remainder_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_reshape_as_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_resolve_neg_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_round_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_round_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_round_decimals_0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_round_decimals_3_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_scalar_tensor_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_scatter_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_scatter_reduce_amax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_signal_windows_kaiser_cuda_float32, 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test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_pixel_shuffle_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_pixel_unshuffle_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_silu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_soft_margin_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_softmin_with_dtype_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_softsign_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_tanhshrink_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_upsample_bilinear_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nonzero_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nonzero_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nonzero_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_ones_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_ones_like_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_permute_copy_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_polar_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_polygamma_polygamma_n_0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_polygamma_polygamma_n_1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_randint_like_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_real_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_remainder_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_resize__cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_resolve_conj_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_resolve_conj_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_resolve_neg_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_rsqrt_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_rsub_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_scatter_add_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_scatter_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_scatter_reduce_amax_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_short_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_signal_windows_blackman_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_signal_windows_hann_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_signbit_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_airy_ai_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_airy_ai_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_bessel_y0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_erfcx_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_erfcx_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_laguerre_polynomial_l_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_log_ndtr_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_ndtr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_ndtri_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_polygamma_special_polygamma_n_0_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_scaled_modified_bessel_k0_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_v_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_split_list_args_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_split_with_sizes_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_sqrt_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_squeeze_multiple_cuda_float32, 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test/test_ops.py::TestCommonCUDA::test_out_nn_functional_kl_div_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_margin_ranking_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_pad_circular_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_triplet_margin_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_polygamma_polygamma_n_2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_polygamma_polygamma_n_3_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_polygamma_polygamma_n_4_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_positive_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_repeat_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error__batch_norm_with_update_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_addbmm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_addcdiv_cuda_complex64, 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test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_dstack_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_fft_fftn_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_fft_hfft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_fft_irfft2_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_fft_rfft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_float_power_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_hstack_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_index_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_index_reduce_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_cond_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_eig_cuda_complex64, 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test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_norm_subgradients_at_zero_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_vander_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linspace_tensor_overload_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_log_softmax_with_dtype_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_logical_xor_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_lu_unpack_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_masked_median_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_max_binary_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_mvlgamma_mvlgamma_p_1_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nan_to_num_cuda_float32, 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test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_gaussian_nll_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_hardtanh_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_interpolate_bicubic_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_interpolate_linear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_pad_replicate_negative_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_norm_inf_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_norm_nuc_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_normal_in_place_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_ones_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_permute_copy_cuda_float32, 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test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_matrix_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_matrix_power_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_matrix_rank_hermitian_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_multi_dot_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_pinv_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_pinv_hermitian_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_qr_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_log1p_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_log_normal_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_logcumsumexp_cuda_float32, 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test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_multilabel_margin_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_pdist_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_normal_in_place_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_ormqr_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_outer_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_polygamma_polygamma_n_3_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_put_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_remainder_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_scalar_tensor_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_sgn_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_sign_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_signal_windows_hamming_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_signal_windows_hann_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_softmax_with_dtype_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_airy_ai_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_bessel_j0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_erfcx_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_i0e_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_laguerre_polynomial_l_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_modified_bessel_k1_cuda_float32, 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test/test_ops.py::TestCompositeComplianceCUDA::test_operator_unfold_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_unsqueeze_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_view_as_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_view_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_where_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_zeros_like_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay___rsub___cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay__softmax_backward_data_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_acosh_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_alias_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_as_strided_scatter_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_atanh_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_bmm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_cholesky_inverse_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_cholesky_solve_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_clamp_max_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_count_nonzero_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_cov_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_diag_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_div_no_rounding_mode_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_dstack_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_eq_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_expm1_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fft_hfftn_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fft_ihfft2_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_grid_sampler_3d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_gt_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_hstack_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_kron_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_ldexp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_ldl_solve_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_matrix_rank_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_slogdet_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_vecdot_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linspace_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_log_softmax_with_dtype_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_logical_and_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_long_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_masked_amin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_masked_median_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_masked_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_max_binary_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_mm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_multinomial_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nanmean_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nanquantile_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_narrow_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_neg_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_new_full_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_binary_cross_entropy_with_logits_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_celu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_conv_transpose1d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_cosine_embedding_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_dropout_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_fractional_max_pool3d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_hardshrink_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_interpolate_linear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_interpolate_trilinear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_linear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_logsigmoid_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_max_unpool1d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_max_unpool2d_grad_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_pad_replicate_negative_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_pixel_shuffle_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_rms_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_selu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_silu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_put_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_qr_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_reciprocal_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_repeat_interleave_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_reshape_as_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_roll_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_rsqrt_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_scatter_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_select_scatter_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_signal_windows_exponential_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_signal_windows_general_cosine_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_signal_windows_kaiser_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_sort_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_bessel_y1_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_chebyshev_polynomial_u_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_i1_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_shifted_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_zeta_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_split_list_args_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_squeeze_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_tan_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_tensordot_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_triu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_var_unbiased_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_view_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_vsplit_cuda_float32, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs__conversions_short_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_alias_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_as_strided_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_atanh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_atleast_3d_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_clone_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_column_stack_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_conj_physical_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_cumsum_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_dsplit_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_dstack_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_empty_strided_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_fft_ifftn_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_fft_irfft2_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_item_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_lerp_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_linalg_norm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_log2_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_logical_or_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_nn_functional_channel_shuffle_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_normal__in_place_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_permute_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_real_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_reshape_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_rsqrt_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_sinc_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_special_log_softmax_with_dtype_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_squeeze_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_tan_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_trace_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_unsqueeze_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_var_mean_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_vdot_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_view_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_zeros_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_add_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_addbmm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_atan_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_conj_physical_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_count_nonzero_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_cumulative_trapezoid_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_diff_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_dstack_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_exp2_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_fft_fft2_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_fft_hfftn_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_index_fill_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_index_put_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_istft_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_jiterator_binary_return_by_ref_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_kron_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_lerp_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_inv_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_solve_ex_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_solve_triangular_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linspace_tensor_overload_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_log_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_logcumsumexp_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_masked_select_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_pad_circular_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_pad_reflect_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_pad_replicate_negative_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_softmin_with_dtype_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_unfold_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_ravel_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_resolve_conj_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_rsub_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_squeeze_multiple_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_tile_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_to_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_triangular_solve_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_true_divide_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_unbind_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_view_as_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__chunk_cat_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs__conversions_bool_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_atleast_2d_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_chunk_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_constant_pad_nd_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_contiguous_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_cos_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_dot_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_dsplit_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_dstack_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_empty_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_expand_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_expand_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_eye_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_fft_fft2_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_fft_fft_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_fft_hfft2_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_fft_ifft2_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_fft_irfft2_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_fliplr_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_float_power_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_imag_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_isnan_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_linspace_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_log_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_logical_or_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_logsumexp_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_rsub_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_unflatten_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_unsqueeze_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_view_as_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_addmm_decomposed_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_addr_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_angle_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_argwhere_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_as_strided_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_broadcast_tensors_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_cat_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_chunk_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_corrcoef_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_count_nonzero_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_div_no_rounding_mode_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_empty_strided_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_fft_ifft2_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_full_like_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_index_select_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_int_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_householder_product_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_ldl_factor_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_lu_solve_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_matrix_norm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_solve_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_tensorsolve_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_long_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_masked_cumprod_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_masked_prod_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_masked_sum_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_matrix_exp_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_mm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_new_zeros_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_channel_shuffle_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_conv_transpose2d_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_pad_replicate_negative_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_pixel_unshuffle_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nn_functional_rms_norm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_norm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_norm_nuc_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_ones_like_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_rand_like_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_randn_like_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_rot90_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_rsub_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_scatter_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_sin_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_sinc_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_sinh_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_slice_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_softmax_with_dtype_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_stack_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_std_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_to_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_unfold_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_unfold_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs__conversions_bfloat16_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs__conversions_cdouble_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs__conversions_double_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs__conversions_long_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_as_strided_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_as_strided_partial_views_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_atleast_1d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_broadcast_tensors_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_copysign_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_cosh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_diag_embed_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_div_no_rounding_mode_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_eye_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fft_fftshift_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fft_irfft_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fft_irfftn_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_hypot_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_igamma_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_igammac_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_index_add_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_isposinf_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_lgamma_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_log_softmax_with_dtype_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_neg_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_dropout_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_log_softmax_with_dtype_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_pairwise_distance_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_softmin_with_dtype_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_softshrink_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_tanhshrink_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_normal__in_place_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_normal_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_normal_number_mean_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_positive_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_randn_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_round_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_sgn_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_signbit_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_special_i1_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_special_log_ndtr_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_special_multigammaln_mvlgamma_p_3_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_special_multigammaln_mvlgamma_p_5_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_special_ndtri_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_special_xlog1py_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_split_with_sizes_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_squeeze_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_tanh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_true_divide_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_unbind_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_unflatten_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_where_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_addmm_decomposed_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_amin_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_angle_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_arange_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_argsort_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_asin_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_broadcast_tensors_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_cartesian_prod_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_clamp_max_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_column_stack_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_combinations_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_copysign_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_count_nonzero_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_cumprod_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_diagonal_scatter_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_empty_strided_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_eye_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fft_fft_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fft_hfft_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fft_ihfft_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fft_rfftn_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_flipud_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_frac_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_frexp_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_index_fill_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_item_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_kthvalue_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_le_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_diagonal_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_eigvals_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_inv_ex_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_ldl_factor_ex_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_norm_subgradients_at_zero_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_pinv_hermitian_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_slogdet_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_logaddexp2_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_mT_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_masked_logaddexp_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_masked_prod_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_masked_select_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_masked_softmax_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_max_pool2d_with_indices_backward_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_max_reduction_no_dim_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_mean_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_meshgrid_variadic_tensors_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_min_reduction_no_dim_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_mvlgamma_mvlgamma_p_3_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_mvlgamma_mvlgamma_p_5_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_native_batch_norm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_avg_pool2d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_channel_shuffle_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_dropout_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_fractional_max_pool3d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_l1_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_leaky_relu_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_linear_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_max_unpool2d_grad_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_pad_circular_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_pad_constant_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_pixel_unshuffle_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_relu6_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nonzero_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_ormqr_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_pca_lowrank_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_randint_like_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_reshape_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_resolve_conj_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_scatter_reduce_amax_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_scatter_reduce_sum_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_sign_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_signal_windows_bartlett_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_sinh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_slice_scatter_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_bessel_j0_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_bessel_j1_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_chebyshev_polynomial_u_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_laguerre_polynomial_l_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_ndtr_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_std_mean_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_torch_ops_aten__safe_softmax_default_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_trapezoid_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_unfold_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_unsafe_chunk_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_view_as_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_view_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_zero__cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_fake_T_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_aminmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_as_strided_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_atan2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_atan_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_atleast_3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast___rmod___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast___rpow___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast__batch_norm_with_update_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast__upsample_bilinear2d_aa_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_acos_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_addr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_all_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_amax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_amin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_argsort_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_argwhere_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_as_strided_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_bitwise_left_shift_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cartesian_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_chalf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cholesky_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_constant_pad_nd_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_contiguous_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cosh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cummin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_diagonal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_dist_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_dsplit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_eq_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fft_ifftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_gradient_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_index_reduce_amax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_index_reduce_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_isin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_det_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_diagonal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_householder_product_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_matrix_power_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_slogdet_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_logcumsumexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_logical_xor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_logit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_masked_argmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_masked_logaddexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_maximum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_min_binary_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_mvlgamma_mvlgamma_p_1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nanquantile_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_ne_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_new_ones_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_adaptive_avg_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_avg_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_avg_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_cosine_embedding_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_ctc_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_dropout_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_gaussian_nll_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_hardsigmoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_hardtanh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_interpolate_area_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_l1_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_max_unpool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_pad_reflect_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_pad_replicate_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_pad_replicate_negative_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_pairwise_distance_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_softmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_softshrink_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_softsign_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_threshold_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nonzero_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_polygamma_polygamma_n_2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_quantile_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_ravel_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_remainder_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_repeat_interleave_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_short_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_signal_windows_gaussian_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_sort_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_legendre_polynomial_p_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_shifted_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_std_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_sum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_svd_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_tensordot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_to_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_trapezoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_trapz_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_tril_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_triu_indices_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_unbind_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_var_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_view_as_real_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_view_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cartesian_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cdist_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_ceil_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cholesky_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_clamp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_contiguous_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_count_nonzero_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp___rmod___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp__batch_norm_with_update_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_addbmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_as_strided_scatter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_asinh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_atan_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_cholesky_inverse_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_combinations_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_diagflat_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_diff_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_einsum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fft_ifft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fft_ihfft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fft_rfftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_hypot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_index_add_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_index_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_lstsq_grad_oriented_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_solve_triangular_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_log1p_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_logaddexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_logsumexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_lu_unpack_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_cumsum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_log_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_logaddexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_logsumexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_median_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_scatter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_var_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_maximum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_meshgrid_list_of_tensors_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_minimum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nanmedian_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_adaptive_max_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_avg_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_conv_transpose1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_conv_transpose2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_feature_alpha_dropout_with_train_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_gaussian_nll_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_l1_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_max_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_pad_constant_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_softmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_softshrink_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_outer_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_put_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_remainder_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_repeat_interleave_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_resolve_neg_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_select_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_special_ndtr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_std_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_svd_lowrank_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_take_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_to_sparse_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_T_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp___rmul___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_addcdiv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_addr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_baddbmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_cfloat_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_cholesky_inverse_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_clamp_max_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_deg2rad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_diagonal_scatter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_div_floor_rounding_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_double_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_exp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fft_ifft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fft_irfft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_cholesky_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_lu_factor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_multi_dot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_svd_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_vecdot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_log10_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_log1p_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_logaddexp2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_logdet_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_lu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_lu_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_masked_softmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_maximum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_minimum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_mm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_mode_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_avg_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_embedding_bag_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_fractional_max_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_hardtanh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_mse_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_multi_head_attention_forward_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_multi_margin_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_rrelu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_softmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_norm_nuc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_permute_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_3_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_4_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_remainder_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_repeat_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_select_scatter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_sigmoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_sqrt_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_std_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_std_mean_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_sum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_sum_to_size_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_svd_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_tanh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_transpose_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_transpose_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_triangular_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_tril_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_unfold_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cummin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_diff_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_digamma_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_exp2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fft_ifft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fft_ifft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fft_ifftshift_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fill_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_floor_divide_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_gradient_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_grid_sampler_3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_half_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_heaviside_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_histc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_hypot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_index_add_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_index_reduce_amax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_isinf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_isposinf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_jiterator_4inputs_with_extra_args_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_inv_ex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_matrix_rank_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_multi_dot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_pinv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_pinv_hermitian_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_logaddexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_logical_not_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_logit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_mH_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_cumsum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_normalize_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_msort_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_multinomial_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_ne_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_new_empty_strided_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_new_zeros_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_conv_transpose3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_cosine_embedding_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_dropout2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_glu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_hinge_embedding_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_max_unpool2d_grad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_multilabel_margin_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_pad_reflect_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_pdist_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_soft_margin_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_pca_lowrank_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_polygamma_polygamma_n_3_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_pow_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_resolve_neg_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_roll_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_signal_windows_hamming_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_sort_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_bessel_y0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_ndtr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_std_mean_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_sum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_transpose_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_unflatten_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_where_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_zeros_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops___ror___cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops__chunk_cat_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops__softmax_backward_data_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_acos_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_acosh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_addcmul_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_addmm_decomposed_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_amin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_aminmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_as_strided_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_bincount_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_bitwise_right_shift_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_bucketize_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_ceil_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_clamp_max_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_conj_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_constant_pad_nd_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_count_nonzero_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_cross_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_cumprod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_double_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_empty_strided_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_fftshift_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_hfft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_rfft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_rfft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_flip_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_full_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_gradient_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_grid_sampler_2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_index_reduce_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_isfinite_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_item_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_jiterator_binary_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_kron_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_cholesky_ex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_cond_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_ldl_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_matrix_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_solve_triangular_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_log2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_log_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_logspace_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_long_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_logsumexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_max_reduction_no_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_max_reduction_with_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_embedding_bag_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_embedding_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_gelu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_grid_sample_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_interpolate_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_interpolate_trilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_logsigmoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_margin_ranking_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_max_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_max_unpool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_max_unpool3d_grad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_nll_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_relu6_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_relu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_unfold_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_ones_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_pca_lowrank_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_polygamma_polygamma_n_0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_qr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_reshape_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_resize__cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_scatter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_signal_windows_general_cosine_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_signal_windows_hamming_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_sparse_mm_reduce_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_hermite_polynomial_h_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_i1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_spherical_bessel_j0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_svd_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_t_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_t_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_to_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_trapezoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_triu_indices_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_uniform_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_unravel_index_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_unsafe_split_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_var_mean_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_vdot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_linspace_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_linspace_tensor_overload_cuda_float16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_linspace_tensor_overload_cuda_uint8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_logspace_cuda_int32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_logspace_tensor_overload_cuda_complex128, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_logspace_tensor_overload_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_ones_cuda_complex32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_ones_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_ones_cuda_int32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_ones_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_ones_cuda_uint8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_zeros_cuda_bfloat16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_zeros_cuda_bool, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_zeros_cuda_complex32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_zeros_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_arange_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_bfloat16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_complex32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_linspace_cuda_float16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_linspace_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_linspace_cuda_uint8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_linspace_tensor_overload_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_linspace_tensor_overload_cuda_int32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_tensor_overload_cuda_int16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_ones_cuda_bfloat16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_ones_cuda_bool, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_ones_cuda_complex32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_zeros_cuda_complex128, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_zeros_cuda_uint8, test/test_ops.py::TestTagsCUDA::test_tags___rmod___cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_bfloat16_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_byte_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_cfloat_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_complex_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_double_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_add_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_addcdiv_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_all_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_any_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_as_strided_partial_views_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_atanh_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_atleast_3d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_bitwise_and_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags__refs_broadcast_to_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_eq_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_erfinv_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_expand_as_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_fft_ihfft2_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_fft_rfftn_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_fliplr_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_igamma_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_index_fill_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_isinf_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_isreal_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_linalg_matrix_norm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_log_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_logaddexp2_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_lt_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_meshgrid_list_of_tensors_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_new_empty_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_alpha_dropout_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_dropout_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_glu_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_positive_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_real_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_reshape_as_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_round_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_rsub_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_select_scatter_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_log_ndtr_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_multigammaln_mvlgamma_p_1_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_split_with_sizes_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_sqrt_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_t_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_transpose_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_var_mean_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_view_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__unsafe_masked_index_put_accumulate_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__upsample_bilinear2d_aa_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_addcdiv_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_addmm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_addmm_decomposed_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_argsort_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_argwhere_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_as_strided_partial_views_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_bool_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_bucketize_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_cauchy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_cdist_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_clamp_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_copysign_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_corrcoef_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_cross_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_dsplit_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_expand_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fft_hfftn_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fft_irfft2_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fft_rfftn_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_flatten_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_full_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_index_add_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_index_reduce_prod_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_int_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_isreal_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_item_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_jiterator_2inputs_2outputs_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_jiterator_binary_return_by_ref_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_ldexp_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_cross_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_lu_factor_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_multi_dot_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_norm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_solve_triangular_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_log2_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_log_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_log_normal_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_logdet_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_logspace_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_logsumexp_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_argmin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_log_softmax_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_logaddexp_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_median_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_softmax_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_max_binary_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_meshgrid_list_of_tensors_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_min_binary_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_mv_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_mvlgamma_mvlgamma_p_1_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_mvlgamma_mvlgamma_p_5_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nanmean_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nanquantile_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_new_full_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nextafter_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_avg_pool1d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_celu_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_conv_transpose3d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_cosine_similarity_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_ctc_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_dropout_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_embedding_bag_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_gaussian_nll_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_hardswish_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_huber_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_interpolate_bicubic_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_interpolate_nearest_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_interpolate_trilinear_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_margin_ranking_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_max_pool3d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_max_unpool2d_grad_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_max_unpool3d_grad_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_pad_reflect_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_pdist_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_prelu_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_silu_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_softshrink_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_threshold_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_triplet_margin_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_normal_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_ones_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_permute_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_pinverse_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_prod_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_qr_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_rot90_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_round_decimals_3_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_rsub_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_scatter_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_scatter_reduce_amin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_select_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_signal_windows_hamming_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_slice_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_softmax_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_bessel_y1_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_i0e_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_i1_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_log_ndtr_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_modified_bessel_i1_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_svd_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_unravel_index_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags_unsafe_split_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_zeros_cuda_float32
2025-08-26T22:07:12.3089284Z 
2025-08-26T22:07:13.2493842Z Uploading artifacts took 1.16 seconds
2025-08-26T22:07:15.6583242Z /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.
2025-08-26T22:07:15.6584454Z   import pkg_resources
2025-08-26T22:07:16.0059346Z Running functorch/test_control_flow 2/2 ... [2025-08-26 22:07:16.005487]
2025-08-26T22:07:16.0060122Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:07:16.0061748Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 22:07:16.005864]
2025-08-26T22:08:55.2249927Z 
2025-08-26T22:08:55.2252653Z test_ops_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.2_3ee1a0d49fb21618_.log
2025-08-26T22:08:55.2984896Z Running 2677 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_H_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_H_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpyCatCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpyCubeCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpyMulCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpyNonzeroCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpySplitCopyWithIntCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_T_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___getitem___cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___radd___cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rmatmul___cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rmatmul___cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rmod___cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rmul___cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rmul___cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rpow___cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__batch_norm_with_update_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__native_batch_norm_legit_cuda_float64, 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test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_stack_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_std_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_std_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_std_mean_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_std_mean_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_std_mean_unbiased_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_std_mean_unbiased_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_stft_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sub_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sum_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_svd_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_svd_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_take_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_take_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tan_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tan_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tensor_split_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tensor_split_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tensordot_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tile_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_to_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_topk_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_torch_ops_aten__safe_softmax_default_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_transpose_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_transpose_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_transpose_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_trapezoid_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_triangular_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tril_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_triu_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_trunc_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unbind_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unbind_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unflatten_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unfold_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unfold_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unique_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsqueeze_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_var_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_var_mean_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_var_mean_unbiased_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_var_mean_unbiased_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_var_unbiased_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_view_as_real_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_view_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_vsplit_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_vstack_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_vstack_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_where_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_where_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_xlogy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_zero__cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_zeros_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_zeros_like_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_zeros_like_cuda_float64
2025-08-26T22:08:55.3685831Z 
2025-08-26T22:08:58.9588208Z /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.
2025-08-26T22:08:58.9589580Z   import pkg_resources
2025-08-26T22:08:59.3196906Z Running optim/test_lrscheduler 1/1 ... [2025-08-26 22:08:59.319282]
2025-08-26T22:08:59.3197358Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:08:59.3200146Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_lrscheduler.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 22:08:59.319651]
2025-08-26T22:09:03.0521976Z 
2025-08-26T22:09:03.0523150Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_442bdce5fc235432_.log
2025-08-26T22:09:03.0524080Z 
2025-08-26T22:09:06.9785697Z /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.
2025-08-26T22:09:06.9787645Z   import pkg_resources
2025-08-26T22:09:07.3387785Z Running test_quantization 3/4 ... [2025-08-26 22:09:07.338302]
2025-08-26T22:09:07.3388401Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:09:07.3389835Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 22:09:07.338658]
2025-08-26T22:09:57.3933581Z 
2025-08-26T22:09:57.3934600Z test_ops_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_2.2_3127811094ccb958_.log
2025-08-26T22:09:57.4988622Z Running 2712 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpyMulScalarCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpyNMSCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpySortCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpySplitCopyCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpyTakeCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpyViewCopyCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_T_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___getitem___cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___radd___cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rdiv___cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rdiv___cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rpow___cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rsub___cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rsub___cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__chunk_cat_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__chunk_cat_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__segment_reduce_offsets_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__softmax_backward_data_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__unsafe_masked_index_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__unsafe_masked_index_put_accumulate_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__unsafe_masked_index_put_accumulate_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__upsample_bilinear2d_aa_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_abs_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_acos_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_acosh_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_acosh_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_addbmm_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_addcdiv_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_addcdiv_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_addcmul_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_addcmul_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_addmm_decomposed_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_addmv_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_alias_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_all_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_allclose_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_allclose_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_amax_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_amin_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_aminmax_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_any_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_any_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_arange_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_argwhere_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_as_strided_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_as_strided_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_as_strided_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_as_strided_scatter_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_as_strided_scatter_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_asin_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_asin_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_asinh_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_atanh_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_atanh_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_atleast_1d_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_atleast_1d_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_baddbmm_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_bernoulli_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_block_diag_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_block_diag_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_bmm_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_broadcast_to_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_broadcast_to_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_bucketize_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_byte_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_byte_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cartesian_prod_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cat_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cdist_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cdouble_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cfloat_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_chalf_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_char_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_char_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cholesky_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cholesky_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cholesky_inverse_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cholesky_inverse_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_chunk_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_clamp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_clamp_max_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_clone_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_clone_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_column_stack_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_combinations_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_combinations_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_complex_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_conj_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_conj_physical_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_conj_physical_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_constant_pad_nd_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_constant_pad_nd_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_copysign_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cosh_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cov_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cross_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cummax_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cumsum_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cumulative_trapezoid_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_cumulative_trapezoid_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_diag_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_diagflat_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_diagonal_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_diagonal_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_diagonal_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_diff_cuda_complex128, 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test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_empty_like_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_empty_permuted_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_empty_permuted_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_empty_strided_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_eq_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_erf_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_exp2_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_exp_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_expand_as_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_expand_cuda_complex128, 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test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_lu_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_lu_unpack_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_mH_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_mH_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_mT_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_masked_amax_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_masked_amin_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_masked_argmax_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_masked_cumprod_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_masked_cumprod_cuda_float64, 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test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_matrix_exp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_max_pool2d_with_indices_backward_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_max_reduction_no_dim_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_mean_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_mean_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_min_reduction_no_dim_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_minimum_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_mm_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_mm_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_mode_cuda_float64, 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test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_upsample_nearest_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nonzero_static_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_norm_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_norm_fro_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_norm_inf_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_norm_inf_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_normal_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_normal_in_place_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_normal_in_place_cuda_float64, 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test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_scatter_add_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_scatter_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_scatter_reduce_amin_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_scatter_reduce_sum_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_select_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sgn_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_short_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sigmoid_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sign_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_bartlett_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_blackman_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_cosine_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_gaussian_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_general_cosine_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_hann_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_kaiser_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_nuttall_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signbit_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sin_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sin_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sinc_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sinc_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sinh_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_slice_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_slice_scatter_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_softmax_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_softmax_with_dtype_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sort_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sparse_mm_reduce_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sparse_sampled_addmm_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sparse_sampled_addmm_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_airy_ai_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_bessel_j0_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_bessel_j1_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_bessel_y1_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_chebyshev_polynomial_v_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_erfcx_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_hermite_polynomial_h_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_i0e_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_i1_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_laguerre_polynomial_l_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_legendre_polynomial_p_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_modified_bessel_k0_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_scaled_modified_bessel_k1_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_u_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_v_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_spherical_bessel_j0_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_split_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_split_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_split_list_args_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_split_with_sizes_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_split_with_sizes_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_split_with_sizes_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sqrt_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sqrt_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_square_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_squeeze_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_squeeze_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_squeeze_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_squeeze_multiple_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_std_unbiased_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_std_unbiased_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_stft_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sub_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sum_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sum_to_size_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sum_to_size_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_svd_lowrank_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_svd_lowrank_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_t_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_t_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_t_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_t_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_take_along_dim_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_take_along_dim_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tanh_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tanh_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tensordot_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tile_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_to_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_to_sparse_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_to_sparse_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_trace_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_trace_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_transpose_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_trapezoid_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_trapz_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_trapz_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_triangular_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tril_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_triu_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_true_divide_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_true_divide_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unbind_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unbind_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unflatten_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unfold_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unfold_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_uniform_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_uniform_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unique_consecutive_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsafe_chunk_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsafe_chunk_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsafe_split_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsafe_split_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsqueeze_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsqueeze_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsqueeze_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_var_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_var_mean_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_var_unbiased_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_vdot_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_vdot_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_view_as_complex_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_view_as_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_view_as_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_view_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_view_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_view_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_vsplit_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_zero__cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_zeros_cuda_complex128
2025-08-26T22:09:57.5965577Z 
2025-08-26T22:10:01.3544575Z /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.
2025-08-26T22:10:01.3546045Z   import pkg_resources
2025-08-26T22:15:36.6835241Z 
2025-08-26T22:15:36.6836656Z functorch/test_control_flow 2/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_2.2_7053663e9fa7d859_.log
2025-08-26T22:15:36.7103013Z Running 648 items in this shard: test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_different_pytree_output, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_grad_through_cond, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_nested, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_pytree_not_all_inputs_used, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_simple, test/functorch/test_control_flow.py::TestControlFlow::test_cond_gpu, test/functorch/test_control_flow.py::TestControlFlow::test_cond_in_forloop, test/functorch/test_control_flow.py::TestControlFlow::test_cond_no_trace, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_no_grad_output, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_simple_partial_grad, test/functorch/test_control_flow.py::TestControlFlow::test_map_gpu, test/functorch/test_control_flow.py::TestControlFlow::test_map_list_in_out, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_True_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_carry_output_alias, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_compile_mode_eager_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_compile_mode_none_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_eager_partial_grad_additional_inputs_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_eager_partial_grad_complex_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_eager_partial_grad_random_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_eager_partial_grad_xs_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_none_partial_grad_additional_inputs_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_none_partial_grad_complex_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_none_partial_grad_random_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_none_partial_grad_xs_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_eager_partial_grad_complex_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_eager_partial_grad_init_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_eager_partial_grad_xs_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_none_partial_grad_additional_inputs_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_none_partial_grad_complex_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_none_partial_grad_complex_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_none_partial_grad_random_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_True_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_True_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_False_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_True_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_True_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_partial_reverse_False_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_partial_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_partial_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_partial_reverse_True_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_partial_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_partial_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_partial_reverse_True_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_partial_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_partial_reverse_True_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_for_out_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_for_out_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_for_out_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_for_out_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_equal_grad_reverse_False_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_equal_grad_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_equal_grad_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_equal_grad_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_equal_grad_reverse_True_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_equal_grad_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_equal_grad_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_equal_grad_reverse_True_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_equal_grad_reverse_True_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_equal_grad_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_equal_grad_reverse_True_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_unequal_grad_reverse_False_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_unequal_grad_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_unequal_grad_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_unequal_grad_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_unequal_grad_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_init_carries_unequal_grad_reverse_True_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_nested_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_nested_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_nested_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_nested_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_nested_reverse_True_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_nested_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_nested_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_nested_reverse_True_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_nested_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_nested_reverse_True_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_cnt_reverse_False_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_cnt_reverse_True_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_cnt_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_False_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_True_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_compile_reverse_True_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_complex_pytree_reverse_False_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_complex_pytree_reverse_False_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_complex_pytree_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_complex_pytree_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_complex_pytree_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_complex_pytree_reverse_True_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_complex_pytree_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dim_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dim_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dim_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dim_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dim_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_eager_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_eager_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_eager_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_eager_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_eager_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_none_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_none_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_matmul_compile_mode_none_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_eager_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_eager_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cpu_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cpu_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cuda_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cuda_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cpu_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cpu_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cpu_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cuda_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cuda_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cpu_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cpu_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cpu_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cuda_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cuda_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cpu_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cpu_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cpu_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cpu_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cuda_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cuda_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_scanned_0, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_carry_shape, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_complex_reverse_False_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_complex_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_init_shorter_carry, test/functorch/test_control_flow.py::TestControlFlow::test_scan_input_carry_alias, test/functorch/test_control_flow.py::TestControlFlow::test_scan_input_mutation, test/functorch/test_control_flow.py::TestControlFlow::test_scan_input_output_alias, test/functorch/test_control_flow.py::TestControlFlow::test_scan_multiple_layers_gradient_layers_1_device_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_multiple_layers_gradient_layers_2_device_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_multiple_layers_gradient_layers_3_device_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_True_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_True_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_one_return, test/functorch/test_control_flow.py::TestControlFlow::test_scan_simple_graph, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_False_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_False_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_while_loop_gpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_eager_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_eager_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_none_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_none_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_eager_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_none_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_none_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_compile_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_compile_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_eager_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_none_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_cond_in_combine_fn_compile_mode_none_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_compile_dynamic_shape_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_compile_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_none_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_different_input_size_compile_mode_none_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_compile_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_compile_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_compile_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_eager_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_none_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_none_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_False_compile_mode_none_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_pointwise_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_pointwise_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_none_combine_mode_generic_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_eager_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_False_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_True_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_False_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_False_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_True_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_True_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_False_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_True_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_False_same_direction_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_False_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_eager_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_eager_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_eager_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_none_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_none_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_none_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_none_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_generic_compile_mode_compile_dynamic_shape_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_generic_compile_mode_compile_dynamic_shape_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_generic_compile_mode_compile_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_generic_compile_mode_compile_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_generic_compile_mode_compile_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_generic_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_generic_compile_mode_eager_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_generic_compile_mode_eager_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_generic_compile_mode_none_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_generic_compile_mode_none_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_compile_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_compile_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_compile_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_eager_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_eager_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_False_cuda_combine_mode_pointwise, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_True_cpu_combine_mode_generic, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_True_cuda_combine_mode_generic, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_True_cuda_combine_mode_pointwise, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_False_cpu_combine_mode_pointwise, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_False_cuda_combine_mode_generic, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_False_cuda_combine_mode_pointwise, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_True_cuda_combine_mode_generic, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_True_cuda_combine_mode_pointwise, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_False_cpu_combine_mode_generic, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_False_cuda_combine_mode_generic, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_False_cuda_combine_mode_generic, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_True_cuda_combine_mode_generic, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_eager_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_pointwise_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_dynamic_shape_loop_type_for_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_dynamic_shape_loop_type_for_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_loop_type_for_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_loop_type_for_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_eager_loop_type_for_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_none_loop_type_for_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_none_loop_type_for_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_map_in_combine_fn, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_dynamic_shape_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_none_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_eager_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_eager_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_none_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_none_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_dynamic_shape_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_eager_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_none_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_output_output_alias, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_generic_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_generic_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_generic_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_generic_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_True_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_none_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_none_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_wrong_pytree, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_autograd_backward, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_eager_run_with_item, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_data_dependent_pred, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_input_aliasing_with_aot_func, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_input_mutation_on_false_branch, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_input_mutation_on_true_branch, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_nested_input_mutation_with_aot_func, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_output_alias_input, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_mismatched_branch_output_dynamic_False_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_mismatched_branch_output_dynamic_False_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_mismatched_branch_strided_output_dynamic_True_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_other_inputs, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_other_inputs_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_with_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_simple_with_linear_compile_check_graph, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_trace_set__and_mutate_intermediate, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_traced_not_nested_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_args_with_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_outputs_nClosure_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_outputs_nClosure_1, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_module_nOperands_2_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_module_nOperands_2_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_2_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_2_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_single_input_with_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_consecutive_make_fx_symbolic, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_module_param_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_tensor_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_input_input_alias, test/functorch/test_control_flow.py::TestControlFlowTraced::test_input_mutation_inference_mode_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized_aot_func, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized_elem_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_merge_output, test/functorch/test_control_flow.py::TestControlFlowTraced::test_raise_error_on_mismatch_type_size, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_autograd_aot_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_real, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_symbolic_list, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_symbolic_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_vmap_vmap_boolcond_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_const_and_symint_output, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_int_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_pytree_int_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_const_and_symint_output, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_int_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_nested_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_nested2_traced, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_nested_traced, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_constant_and_symint_output_export_strict_False_dynamic_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_constant_and_symint_output_export_strict_False_dynamic_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_constant_and_symint_output_export_strict_True_dynamic_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_constant_and_symint_output_export_strict_True_dynamic_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_int_carry_export_strict_False_dynamic_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_int_carry_export_strict_True_dynamic_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_compile_dynamic_False_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_compile_dynamic_False_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_compile_dynamic_True_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_compile_dynamic_True_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_export_strict_False_dynamic_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_export_strict_True_dynamic_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_export_strict_True_dynamic_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_functionalize_check_graph_func_type_cpp, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_functionalize_check_graph_func_type_functorch, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_nested_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_simple_with_linear, test/functorch/test_control_flow.py::TestHopSchema::test_associative_scan_gen_schema_multiple_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_associative_scan_gen_schema_with_additional_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_cond_gen_schema_symbool_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_cond_gen_schema_tensor_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_ScriptObj, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_float, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_int, test/functorch/test_control_flow.py::TestHopSchema::test_schema_tree_spec, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_GraphModule, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_ScriptObj, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_SymBool, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_SymInt, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_Tensor, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_float, test/functorch/test_control_flow.py::TestHopSchema::test_while_loop_gen_schema_with_additional_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_while_loop_gen_schema_with_int_carries
2025-08-26T22:15:36.7359646Z 
2025-08-26T22:15:40.2599054Z /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.
2025-08-26T22:15:40.2600690Z   import pkg_resources
2025-08-26T22:17:30.8300084Z 
2025-08-26T22:17:30.8301158Z test_quantization 3/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_3.4_94d9299a6018732d_.log
2025-08-26T22:17:30.8383042Z Running 351 items in this shard: test/test_quantization.py::TestQuantizedOps::test_avg_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_batch_norm_relu, test/test_quantization.py::TestQuantizedOps::test_cat_nhwc, test/test_quantization.py::TestQuantizedOps::test_channel_shuffle, test/test_quantization.py::TestQuantizedOps::test_equal, test/test_quantization.py::TestQuantizedOps::test_interpolate, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_cudnn, test/test_quantization.py::TestQuantizedOps::test_max_pool3d, test/test_quantization.py::TestQuantizedOps::test_qhardsigmoid, test/test_quantization.py::TestQuantizedOps::test_qmul_relu_different_qparams, test/test_quantization.py::TestQuantizedOps::test_qrelu, test/test_quantization.py::TestQuantizedOps::test_qsoftmax_qnnpack, test/test_quantization.py::TestQuantizedOps::test_sigmoid_dequantize_rounding_error, test/test_quantization.py::TestQuantizedOps::test_sigmoid_non_observed, test/test_quantization.py::TestQNNPackOps::test_avg_pool2d, test/test_quantization.py::TestQNNPackOps::test_qnnpack_maxpool2d, test/test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid_sweep, test/test_quantization.py::TestQuantizedLinear::test_qlinear_cudnn, test/test_quantization.py::TestQuantizedLinear::test_qlinear_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_unpack, test/test_quantization.py::TestQuantizedConv::test_benchmark, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_add_relu, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_float_output_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv3d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv3d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose1d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose1d, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear_dynamic_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16_opcheck, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv1d_api, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quant_control, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quant_preserves_qparam_shapes_for_activations, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_half_precision_numerics, test/test_quantization.py::TestFakeQuantizeOps::test_fq_serializable_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_tensor_cuda, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_backward_op_fake_quant_off, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_backward_op, test/test_quantization.py::TestQuantizedTensor::test_bfp16_quantize, test/test_quantization.py::TestQuantizedTensor::test_choose_qparams, test/test_quantization.py::TestQuantizedTensor::test_decomposed_dequantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_decomposed_dynamic_quant_pattern, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel_bfloat16_input, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel_group, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor, test/test_quantization.py::TestQuantizedTensor::test_fp16_saturate_op, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_to_memory_format, test/test_quantization.py::TestQuantizedTensor::test_pickle_checkpoint_qtensor, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_put_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_legacy_new_failure, test/test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_permute, test/test_quantization.py::TestQuantizedTensor::test_quantize_per_channel_float_qparams, test/test_quantization.py::TestFakeQuantize::test_quant_min_max_override, test/test_quantization.py::TestObserver::test_dynamic_quant_observer_matching_choose_qparams, test/test_quantization.py::TestObserver::test_histogram_observer_ignore_infinity, test/test_quantization.py::TestObserver::test_observer_scriptable, test/test_quantization.py::TestObserver::test_per_channel_observers, test/test_quantization.py::TestObserver::test_state_dict_respects_device_affinity, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_add_relu, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_dropout_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_elu, test/test_quantization.py::TestStaticQuantizedModule::test_group_norm, test/test_quantization.py::TestStaticQuantizedModule::test_hard_swish, test/test_quantization.py::TestStaticQuantizedModule::test_linear, test/test_quantization.py::TestStaticQuantizedModule::test_linear_leaky_relu, test/test_quantization.py::TestStaticQuantizedModule::test_quant_dequant_api, test/test_quantization.py::TestDynamicQuantizedModule::test_cell_api, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose2d, test/test_quantization.py::TestReferenceQuantizedModule::test_sparse, test/test_quantization.py::TestRecordHistogramObserver::test_observer_scriptable, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_extreme_inputs, test/test_quantization.py::TestHistogramObserver::test_observer_scriptable, test/test_quantization.py::TestDistributed::test_syncbn_preserves_qconfig, test/test_quantization.py::TestFusedObsFakeQuantModule::test_default_fused_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_bag_qat_config, test/test_quantization.py::TestBackendConfig::test_backend_config_to_dict, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_num_tensor_args_to_observation_type, test/test_quantization.py::TestBackendConfig::test_dtype_config_from_dict, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_fails_early, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested1, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested2, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_normalization, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_save_load_state_dict, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_ops_dynamic, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_single_layer, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_two_layers, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_type_match_rule, test/test_quantization.py::TestQuantizeEagerOps::test_conv_2d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_3d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_1d, test/test_quantization.py::TestQuantizeEagerOps::test_int16_reference_module, test/test_quantization.py::TestQuantizeEagerOps::test_linear, test/test_quantization.py::TestQuantizeEagerOps::test_relu, test/test_quantization.py::TestQuantizeEagerQAT::test_conv_linear_symm, test/test_quantization.py::TestQuantizeEagerQAT::test_dynamic_qat_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_eval_only_fake_quant, test/test_quantization.py::TestQuantizeEagerQAT::test_manual, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_folded_vs_unfolded, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_relu, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_fixed_qparam_ops, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_precomputed_fake_quant, test/test_quantization.py::TestFuseEager::test_forward_hooks_preserved, test/test_quantization.py::TestFuseEager::test_fusion_sequential_model_eval, test/test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_tensor, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_partial, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_output_logger, test/test_quantization.py::TestFuseFx::test_fuse_addtional_fuser_method, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_onednn, test/test_quantization.py::TestFuseFx::test_fuse_linear_bn_eval, test/test_quantization.py::TestFuseFx::test_fuse_linear_bn_leaky_relu_onednn, test/test_quantization.py::TestFuseFx::test_fuse_linear_tanh_for_onednn_backend, test/test_quantization.py::TestFuseFx::test_fuse_module_relu, test/test_quantization.py::TestFuseFx::test_fusion_pattern_with_matchallnode, test/test_quantization.py::TestFuseFx::test_linear_tanh_not_fused_by_default, test/test_quantization.py::TestFuseFx::test_qconfig_fused_module, test/test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx_dynamic_quant, test/test_quantization.py::TestQuantizeFx::test_assert_on_size_after_quant_layer, test/test_quantization.py::TestQuantizeFx::test_backend_config_check_for_weight_and_bias, test/test_quantization.py::TestQuantizeFx::test_change_backend_config_for_fixed_qparam_ops, test/test_quantization.py::TestQuantizeFx::test_channel_shuffle_lowering, test/test_quantization.py::TestQuantizeFx::test_conv_bn_relu, test/test_quantization.py::TestQuantizeFx::test_conv_linear_not_reference, test/test_quantization.py::TestQuantizeFx::test_conv_lowering, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_relu_reference, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_custom_module_class, test/test_quantization.py::TestQuantizeFx::test_default_quant_after_none_qconfig, test/test_quantization.py::TestQuantizeFx::test_dynamic_with_fusion, test/test_quantization.py::TestQuantizeFx::test_dynamic_with_fusion_multiple_uses, test/test_quantization.py::TestQuantizeFx::test_fp32_input_quantized_output, test/test_quantization.py::TestQuantizeFx::test_fp32_sum, test/test_quantization.py::TestQuantizeFx::test_fuse_custom_config_to_dict, test/test_quantization.py::TestQuantizeFx::test_linear_shape_view, test/test_quantization.py::TestQuantizeFx::test_linear_size_view, test/test_quantization.py::TestQuantizeFx::test_lowering_functional_conv_transpose_with_kwargs, test/test_quantization.py::TestQuantizeFx::test_masked_fill_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_match_pattern_with_multiple_args, test/test_quantization.py::TestQuantizeFx::test_output_lists_and_dicts, test/test_quantization.py::TestQuantizeFx::test_pattern_match, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_input_quantized_indexes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_names, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_standalone_module_name, test/test_quantization.py::TestQuantizeFx::test_qat_prepare_device_affinity, test/test_quantization.py::TestQuantizeFx::test_qconfig_dict_setup, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_global, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name_object_type_order, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name_regex, test/test_quantization.py::TestQuantizeFx::test_qconfig_module_name_regex, test/test_quantization.py::TestQuantizeFx::test_qconfig_qat_module_type, test/test_quantization.py::TestQuantizeFx::test_quant_output_always_observed, test/test_quantization.py::TestQuantizeFx::test_ref_conv_module, test/test_quantization.py::TestQuantizeFx::test_register_patterns, test/test_quantization.py::TestQuantizeFx::test_repeat_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_reroute_tuple_getitem_patterns, test/test_quantization.py::TestQuantizeFx::test_size_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_sub_scalar, test/test_quantization.py::TestQuantizeFx::test_trace_quantize_per_tensor, test/test_quantization.py::TestQuantizeFx::test_transpose_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_unsqueeze_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFxOps::test_bmm, test/test_quantization.py::TestQuantizeFxOps::test_bmm_int_reference, test/test_quantization.py::TestQuantizeFxOps::test_clamp, test/test_quantization.py::TestQuantizeFxOps::test_conv_transpose_1d, test/test_quantization.py::TestQuantizeFxOps::test_embedding_bag, test/test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_fp16, test/test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_qint8, test/test_quantization.py::TestQuantizeFxOps::test_float_functional, test/test_quantization.py::TestQuantizeFxOps::test_functional_conv, test/test_quantization.py::TestQuantizeFxOps::test_functional_linear, test/test_quantization.py::TestQuantizeFxOps::test_getitem, test/test_quantization.py::TestQuantizeFxOps::test_multiple_qconfigs_for_single_value, test/test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle, test/test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle_module, test/test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle_module, test/test_quantization.py::TestQuantizeFxOps::test_qbatch_norm_relu, test/test_quantization.py::TestQuantizeFxOps::test_qmatmul, test/test_quantization.py::TestQuantizeFxOps::test_rnn_cell, test/test_quantization.py::TestQuantizeFxOps::test_sub, test/test_quantization.py::TestQuantizeFxModels::test_model_dropout, test/test_quantization.py::TestQuantizeFxModels::test_qat_embedding_linear, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_quantization.py::TestMetaDataPorting::test_no_metadata_porting, test/test_quantization.py::TestMetaDataPorting::test_no_metadata_porting_through_unknown_ops, test/test_quantization.py::TestNumericDebugger::test_run_decompositions_map_handle_to_new_nodes, test/test_quantization.py::TestNumericDebugger::test_run_decompositions_same_handle_id, test/test_quantization.py::TestNumericDebugger::test_simple, test/test_quantization.py::TestQuantizePT2E::test_constant_prop_preserve_metadata, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_observer_dedup, test/test_quantization.py::TestQuantizePT2E::test_fold_quantize, test/test_quantization.py::TestQuantizePT2E::test_fold_quantize_per_channel, test/test_quantization.py::TestQuantizePT2E::test_groupwise_per_channel_quant, test/test_quantization.py::TestQuantizePT2E::test_input_edge_sanity_check, test/test_quantization.py::TestQuantizePT2E::test_model_is_exported, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_bn_device_cpu, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_bn_device_cuda, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout, test/test_quantization.py::TestQuantizePT2E::test_multi_users_without_output_observer, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_int16, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_float8_e5m2, test/test_quantization.py::TestQuantizePT2E::test_transform_for_annotation, test/test_quantization.py::TestQuantizePT2E::test_wo_annotate_conv_output_quantizer, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_dynamic_affine_act_per_channel_weights, test/test_quantization.py::TestPT2ERepresentation::test_add_relu, test/test_quantization.py::TestPT2ERepresentation::test_maxpool2d, test/test_quantization.py::TestXNNPACKQuantizer::test_cat_same_node, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear_with_conv, test/test_quantization.py::TestXNNPACKQuantizer::test_gru, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_gru, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_relu, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_with_dynamic_shape, test/test_quantization.py::TestXNNPACKQuantizer::test_mul_float32_max, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_name_with_underscores, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_adaptive_avg_pool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_attention_block, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_single_input, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_serials_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_linear_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_maxpool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_case1, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_bias_derived_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_no_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_per_channel_weight_custom_dtype, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_inplace_add_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_per_channel_weight_custom_dtype, test/test_quantization.py::TestQuantizePT2EQATModels::test_qat_resnet18, test/test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_count, test/test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_type, test/test_quantization.py::TestFXGraphMatcher::test_nodes_with_equal_types_get_matched, test/test_quantization.py::TestFXGraphMatcher::test_op_relationship_mapping, test/test_quantization.py::TestFXGraphMatcher::test_results_order, test/test_quantization.py::TestFXGraphMatcher::test_simple_mod_multi, test/test_quantization.py::TestFXGraphMatcher::test_user_defined_function, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_mul_inputs_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_simple, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_mod, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_shadow_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_meth_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_only_kwargs_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_functions, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteNShadows::test_extract_weights_linear, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_mod, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_shadow, test/test_quantization.py::TestFxModelReportObserver::test_observer_after_relu, test/test_quantization.py::TestFxModelReportObserver::test_single_batch_of_ones, test/test_quantization.py::TestFxModelReportClass::test_constructor, test/test_quantization.py::TestFxModelReportClass::test_prepare_model_callibration, test/test_quantization.py::TestFxModelReportClass::test_qconfig_mapping_generation, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen_empty, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_no_match, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_graphs, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_results, test/test_quantization.py::TestSerialization::test_lstm, test/test_quantization.py::TestQuantizeJit::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizeJit::test_observer_with_ignored_function, test/test_quantization.py::TestQuantizeJit::test_single_linear, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_no_fusion, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial, test/test_quantization.py::TestQuantizeJitPasses::test_inplace_option, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_child_qconfig, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_nested_if, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_reused_weight, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_in_submodule, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_skip_values, test/test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant, test/test_quantization.py::TestQuantizeJitPasses::test_module_list, test/test_quantization.py::TestQuantizeJitPasses::test_quantize_fork_wait, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequant_same_value, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_quantize_for_if, test/test_quantization.py::TestQuantizeJitPasses::test_skip_dequant_constant_prop, test/test_quantization.py::TestQuantizeJitOps::test_dequantize_tuple, test/test_quantization.py::TestQuantizeJitOps::test_group_norm, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncInplaceRelu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_conv_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_relu, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_insert_quant_dequant_linear_dynamic, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_quantize_dynamic_fp16, test/test_quantization.py::TestDeprecatedJitQuantized::test_rnn_quantized, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fuser_method_mappings, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quant_type, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize_jit, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_conv, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantized_dynamic_import, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_batchnorm, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_functional_modules, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_import, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_qat, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_linear_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_conv_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_nn_intrinsic_fused, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_convert, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fusion_patterns, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_prepare, test/test_quantization.py::TestFloat8DtypeCUDA::test_cast_round_trip_extremes_cuda_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCUDA::test_cast_round_trip_extremes_cuda_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCUDA::test_cast_round_trip_subnormals_cuda_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCUDA::test_cat_cuda_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCUDA::test_cat_cuda_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCUDA::test_empty_cuda_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCUDA::test_finfo_cuda_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCUDA::test_save_load_cuda_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCUDA::test_special_numbers_cuda_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCUDA::test_to_string_cuda_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCUDA::test_to_string_cuda_float8_e5m2
2025-08-26T22:17:30.8462292Z 
2025-08-26T22:17:31.8833015Z Running test batch 'tests to run' cost 6415.55 seconds
2025-08-26T22:17:32.9433591Z 
2025-08-26T22:17:32.9433995Z real	107m1.019s
2025-08-26T22:17:32.9434277Z user	211m38.558s
2025-08-26T22:17:32.9434809Z sys	20m50.539s
2025-08-26T22:17:32.9435018Z + assert_git_not_dirty
2025-08-26T22:17:32.9435312Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-08-26T22:17:32.9435678Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-08-26T22:17:32.9441418Z ++ git status --porcelain
2025-08-26T22:17:32.9441771Z ++ grep -v '?? third_party'
2025-08-26T22:18:08.8782187Z ++ true
2025-08-26T22:18:08.8783232Z + git_status=
2025-08-26T22:18:08.8783639Z + [[ -n '' ]]
2025-08-26T22:18:08.8783988Z + test_aten
2025-08-26T22:18:08.8784268Z + echo 'Running ATen tests with pytorch lib'
2025-08-26T22:18:08.8784693Z Running ATen tests with pytorch lib
2025-08-26T22:18:08.8785012Z + [[ -n '' ]]
2025-08-26T22:18:08.8785426Z + echo 'Running test with the build folder'
2025-08-26T22:18:08.8785884Z Running test with the build folder
2025-08-26T22:18:08.8786168Z + TEST_BASE_DIR=build/bin
2025-08-26T22:18:08.8787210Z + 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_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so build/bin
2025-08-26T22:18:08.8816032Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so build/bin
2025-08-26T22:18:08.8828692Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin
2025-08-26T22:18:08.8848033Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin
2025-08-26T22:18:08.8865062Z + 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_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.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_nvshmem.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
2025-08-26T22:18:08.8877990Z + ls build/bin
2025-08-26T22:18:08.8927196Z  BackoffTest
2025-08-26T22:18:08.8927506Z  CppSignature_test
2025-08-26T22:18:08.8927828Z  Dict_test
2025-08-26T22:18:08.8928091Z  Dimname_test
2025-08-26T22:18:08.8929154Z  FileStoreTest
2025-08-26T22:18:08.8929453Z  HashStoreTest
2025-08-26T22:18:08.8929650Z  IListRef_test
2025-08-26T22:18:08.8929818Z  KernelFunction_test
2025-08-26T22:18:08.8930100Z  List_test
2025-08-26T22:18:08.8930325Z  MaybeOwned_test
2025-08-26T22:18:08.8930542Z  NamedTensor_test
2025-08-26T22:18:08.8930872Z  ProcessGroupGlooAsyncTest
2025-08-26T22:18:08.8931147Z  ProcessGroupGlooTest
2025-08-26T22:18:08.8931547Z  ProcessGroupMPITest
2025-08-26T22:18:08.8931896Z  ProcessGroupNCCLErrorsTest
2025-08-26T22:18:08.8932360Z  ProcessGroupNCCLTest
2025-08-26T22:18:08.8932607Z  StorageUtils_test
2025-08-26T22:18:08.8932814Z  TCPStoreTest
2025-08-26T22:18:08.8933004Z  apply_utils_test
2025-08-26T22:18:08.8933209Z  atest
2025-08-26T22:18:08.8933553Z  backend_fallback_test
2025-08-26T22:18:08.8933930Z  basic
2025-08-26T22:18:08.8934268Z  broadcast_test
2025-08-26T22:18:08.8934807Z  c10_AllocatorConfig_test
2025-08-26T22:18:08.8935224Z  c10_ArrayRef_test
2025-08-26T22:18:08.8935587Z  c10_Bitset_test
2025-08-26T22:18:08.8936011Z  c10_CompileTimeFunctionPointer_test
2025-08-26T22:18:08.8936296Z  c10_ConstexprCrc_test
2025-08-26T22:18:08.8936525Z  c10_DeadlockDetection_test
2025-08-26T22:18:08.8936756Z  c10_DeviceGuard_test
2025-08-26T22:18:08.8936967Z  c10_Device_test
2025-08-26T22:18:08.8937173Z  c10_DispatchKeySet_test
2025-08-26T22:18:08.8937404Z  c10_Enumerate_test
2025-08-26T22:18:08.8937734Z  c10_Half_test
2025-08-26T22:18:08.8937955Z  c10_InlineDeviceGuard_test
2025-08-26T22:18:08.8938198Z  c10_InlineStreamGuard_test
2025-08-26T22:18:08.8938435Z  c10_IntrusiveList_test
2025-08-26T22:18:08.8938759Z  c10_LeftRight_test
2025-08-26T22:18:08.8939014Z  c10_Metaprogramming_test
2025-08-26T22:18:08.8939240Z  c10_NetworkFlow_test
2025-08-26T22:18:08.8939465Z  c10_Scalar_test
2025-08-26T22:18:08.8939668Z  c10_Semaphore_test
2025-08-26T22:18:08.8939881Z  c10_SizesAndStrides_test
2025-08-26T22:18:08.8940080Z  c10_StreamGuard_test
2025-08-26T22:18:08.8940248Z  c10_SymInt_test
2025-08-26T22:18:08.8940412Z  c10_Synchronized_test
2025-08-26T22:18:08.8940590Z  c10_ThreadLocal_test
2025-08-26T22:18:08.8940757Z  c10_TypeIndex_test
2025-08-26T22:18:08.8940923Z  c10_TypeList_test
2025-08-26T22:18:08.8941089Z  c10_TypeTraits_test
2025-08-26T22:18:08.8941258Z  c10_accumulate_test
2025-08-26T22:18:08.8941418Z  c10_bfloat16_test
2025-08-26T22:18:08.8941577Z  c10_bit_cast_test
2025-08-26T22:18:08.8941748Z  c10_complex_math_test
2025-08-26T22:18:08.8941921Z  c10_complex_test
2025-08-26T22:18:08.8942080Z  c10_cow_test
2025-08-26T22:18:08.8942252Z  c10_cuda_CUDAAssertionsTest_1_var_test
2025-08-26T22:18:08.8942499Z  c10_cuda_CUDAAssertionsTest_catches_stream
2025-08-26T22:18:08.8942794Z  c10_cuda_CUDAAssertionsTest_catches_thread_and_block_and_device
2025-08-26T22:18:08.8943441Z  c10_cuda_CUDAAssertionsTest_from_2_processes
2025-08-26T22:18:08.8943762Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_blocks_and_threads
2025-08-26T22:18:08.8944141Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_multiple_blocks
2025-08-26T22:18:08.8944489Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_same_block
2025-08-26T22:18:08.8944745Z  c10_cuda_CUDATest
2025-08-26T22:18:08.8944908Z  c10_error_test
2025-08-26T22:18:08.8945070Z  c10_exception_test
2025-08-26T22:18:08.8945245Z  c10_flags_test
2025-08-26T22:18:08.8945400Z  c10_generic_math_test
2025-08-26T22:18:08.8945584Z  c10_intrusive_ptr_benchmark
2025-08-26T22:18:08.8945786Z  c10_intrusive_ptr_test
2025-08-26T22:18:08.8945957Z  c10_irange_test
2025-08-26T22:18:08.8946117Z  c10_lazy_test
2025-08-26T22:18:08.8946272Z  c10_logging_test
2025-08-26T22:18:08.8946450Z  c10_optional_test
2025-08-26T22:18:08.8946627Z  c10_ordered_preserving_dict_test
2025-08-26T22:18:08.8946830Z  c10_registry_test
2025-08-26T22:18:08.8947012Z  c10_small_vector_test
2025-08-26T22:18:08.8947183Z  c10_ssize_test
2025-08-26T22:18:08.8947338Z  c10_string_util_test
2025-08-26T22:18:08.8947513Z  c10_string_view_test
2025-08-26T22:18:08.8947687Z  c10_tempfile_test
2025-08-26T22:18:08.8947853Z  c10_typeid_test
2025-08-26T22:18:08.8948115Z  cpu_allocator_test
2025-08-26T22:18:08.8948285Z  cpu_generator_test
2025-08-26T22:18:08.8948464Z  cpu_profiling_allocator_test
2025-08-26T22:18:08.8948650Z  cpu_rng_test
2025-08-26T22:18:08.8948827Z  cuda_allocatorTraceTracker_test
2025-08-26T22:18:08.8949032Z  cuda_allocator_test
2025-08-26T22:18:08.8949202Z  cuda_apply_test
2025-08-26T22:18:08.8949363Z  cuda_atomic_ops_test
2025-08-26T22:18:08.8949545Z  cuda_caching_host_allocator_test
2025-08-26T22:18:08.8949751Z  cuda_complex_math_test
2025-08-26T22:18:08.8949925Z  cuda_complex_test
2025-08-26T22:18:08.8950083Z  cuda_cub_test
2025-08-26T22:18:08.8950241Z  cuda_cudnn_test
2025-08-26T22:18:08.8950395Z  cuda_device_test
2025-08-26T22:18:08.8950563Z  cuda_distributions_test
2025-08-26T22:18:08.8950743Z  cuda_dlconvertor_test
2025-08-26T22:18:08.8950925Z  cuda_exchange_device_test
2025-08-26T22:18:08.8951114Z  cuda_generator_test
2025-08-26T22:18:08.8951347Z  cuda_half_test
2025-08-26T22:18:08.8951508Z  cuda_integer_divider_test
2025-08-26T22:18:08.8951699Z  cuda_optional_test
2025-08-26T22:18:08.8951885Z  cuda_packedtensoraccessor_test
2025-08-26T22:18:08.8952099Z  cuda_reportMemoryUsage_test
2025-08-26T22:18:08.8952287Z  cuda_stream_test
2025-08-26T22:18:08.8952456Z  cuda_vectorized_test
2025-08-26T22:18:08.8952632Z  dlconvertor_test
2025-08-26T22:18:08.8952799Z  example_allreduce
2025-08-26T22:18:08.8953027Z  extension_backend_test
2025-08-26T22:18:08.8953205Z  half_test
2025-08-26T22:18:08.8953361Z  inline_container_test
2025-08-26T22:18:08.8953532Z  ivalue_test
2025-08-26T22:18:08.8953703Z  kernel_function_legacy_test
2025-08-26T22:18:08.8953964Z  kernel_function_test
2025-08-26T22:18:08.8954148Z  kernel_lambda_legacy_test
2025-08-26T22:18:08.8954333Z  kernel_lambda_test
2025-08-26T22:18:08.8954506Z  kernel_stackbased_test
2025-08-26T22:18:08.8954682Z  lazy_tensor_test
2025-08-26T22:18:08.8954846Z  legacy_vmap_test
2025-08-26T22:18:08.8955001Z  libc10.so
2025-08-26T22:18:08.8955152Z  libc10_cuda.so
2025-08-26T22:18:08.8955317Z  libc10d_cuda_test.so
2025-08-26T22:18:08.8955495Z  libcaffe2_nvrtc.so
2025-08-26T22:18:08.8955654Z 'libmkldnn*'
2025-08-26T22:18:08.8955930Z 'libnccl*'
2025-08-26T22:18:08.8956080Z  libtorch.so
2025-08-26T22:18:08.8956235Z  libtorch_cpu.so
2025-08-26T22:18:08.8956391Z  libtorch_cuda.so
2025-08-26T22:18:08.8956571Z  libtorch_cuda_linalg.so
2025-08-26T22:18:08.8956773Z  libtorch_global_deps.so
2025-08-26T22:18:08.8956961Z  libtorch_nvshmem.so
2025-08-26T22:18:08.8957133Z  libtorch_python.so
2025-08-26T22:18:08.8957307Z  libtorchbind_test.so
2025-08-26T22:18:08.8957503Z  make_boxed_from_unboxed_functor_test
2025-08-26T22:18:08.8957711Z  math_kernel_test
2025-08-26T22:18:08.8957890Z  memory_format_test
2025-08-26T22:18:08.8958063Z  memory_overlapping_test
2025-08-26T22:18:08.8958245Z  mobile_memory_cleanup
2025-08-26T22:18:08.8958410Z  native_test
2025-08-26T22:18:08.8958563Z  op_allowlist_test
2025-08-26T22:18:08.8958733Z  op_registration_test
2025-08-26T22:18:08.8958906Z  operator_name_test
2025-08-26T22:18:08.8959064Z  operators_test
2025-08-26T22:18:08.8959243Z  packedtensoraccessor_test
2025-08-26T22:18:08.8959446Z  parallel_benchmark
2025-08-26T22:18:08.8959610Z  pow_test
2025-08-26T22:18:08.8959752Z  protoc
2025-08-26T22:18:08.8959904Z  protoc-3.13.0.0
2025-08-26T22:18:08.8960072Z  quantized_test
2025-08-26T22:18:08.8960231Z  reduce_ops_test
2025-08-26T22:18:08.8960401Z  reportMemoryUsage_test
2025-08-26T22:18:08.8960584Z  scalar_tensor_test
2025-08-26T22:18:08.8960748Z  scalar_test
2025-08-26T22:18:08.8960909Z  stride_properties_test
2025-08-26T22:18:08.8961095Z  tensor_iterator_test
2025-08-26T22:18:08.8961271Z  test_api
2025-08-26T22:18:08.8961419Z  test_cpp_rpc
2025-08-26T22:18:08.8961571Z  test_dist_autograd
2025-08-26T22:18:08.8961728Z  test_jit
2025-08-26T22:18:08.8961870Z  test_lazy
2025-08-26T22:18:08.8962018Z  test_nativert
2025-08-26T22:18:08.8962168Z  test_parallel
2025-08-26T22:18:08.8962331Z  thread_init_test
2025-08-26T22:18:08.8962496Z  torch_shm_manager
2025-08-26T22:18:08.8962672Z  type_ptr_test
2025-08-26T22:18:08.8962870Z  type_test
2025-08-26T22:18:08.8963027Z  undefined_tensor_test
2025-08-26T22:18:08.8963207Z  vec_test_all_types_AVX2
2025-08-26T22:18:08.8963399Z  vec_test_all_types_AVX512
2025-08-26T22:18:08.8963583Z  vec_test_all_types_DEFAULT
2025-08-26T22:18:08.8963778Z  verify_api_visibility
2025-08-26T22:18:08.8963948Z  weakref_test
2025-08-26T22:18:08.8964103Z  wrapdim_test
2025-08-26T22:18:08.8964260Z  xla_tensor_test
2025-08-26T22:18:08.8964437Z + aten/tools/run_tests.sh build/bin
2025-08-26T22:18:08.8964650Z + set -e
2025-08-26T22:18:08.8964825Z ++ dirname aten/tools/run_tests.sh
2025-08-26T22:18:08.8967293Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup
2025-08-26T22:18:08.8967622Z + export CPP_TESTS_DIR=build/bin
2025-08-26T22:18:08.8967843Z + CPP_TESTS_DIR=build/bin
2025-08-26T22:18:08.8968025Z + VALGRIND=ON
2025-08-26T22:18:08.8969319Z + python test/run_test.py --cpp --verbose -i cpp/basic cpp/atest cpp/scalar_test cpp/broadcast_test cpp/wrapdim_test cpp/apply_utils_test cpp/dlconvertor_test cpp/native_test cpp/scalar_tensor_test cpp/undefined_tensor_test cpp/extension_backend_test cpp/lazy_tensor_test cpp/tensor_iterator_test cpp/Dimname_test cpp/Dict_test cpp/NamedTensor_test cpp/cpu_generator_test cpp/legacy_vmap_test cpp/operators_test
2025-08-26T22:18:11.4944405Z /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.
2025-08-26T22:18:11.4945919Z   import pkg_resources
2025-08-26T22:18:13.2233188Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-26T22:18:13.2330945Z Found test times from artifacts
2025-08-26T22:18:13.2739244Z Found test times from artifacts
2025-08-26T22:18:13.2751281Z Running all tests
2025-08-26T22:18:13.2755508Z Running parallel tests on 3 processes
2025-08-26T22:18:13.2756822Z Name: tests to run (est. time: 0.0min)
2025-08-26T22:18:13.2757127Z   Serial tests (0):
2025-08-26T22:18:13.2757410Z   Parallel tests (19):
2025-08-26T22:18:13.2757748Z     cpp/Dict_test 1/1
2025-08-26T22:18:13.2757982Z     cpp/Dimname_test 1/1
2025-08-26T22:18:13.2758235Z     cpp/NamedTensor_test 1/1
2025-08-26T22:18:13.2758508Z     cpp/apply_utils_test 1/1
2025-08-26T22:18:13.2758750Z     cpp/atest 1/1
2025-08-26T22:18:13.2758957Z     cpp/basic 1/1
2025-08-26T22:18:13.2759175Z     cpp/broadcast_test 1/1
2025-08-26T22:18:13.2759436Z     cpp/cpu_generator_test 1/1
2025-08-26T22:18:13.2759695Z     cpp/dlconvertor_test 1/1
2025-08-26T22:18:13.2759956Z     cpp/extension_backend_test 1/1
2025-08-26T22:18:13.2760224Z     cpp/lazy_tensor_test 1/1
2025-08-26T22:18:13.2760464Z     cpp/legacy_vmap_test 1/1
2025-08-26T22:18:13.2760699Z     cpp/native_test 1/1
2025-08-26T22:18:13.2760938Z     cpp/operators_test 1/1
2025-08-26T22:18:13.2761188Z     cpp/scalar_tensor_test 1/1
2025-08-26T22:18:13.2761428Z     cpp/scalar_test 1/1
2025-08-26T22:18:13.2761654Z     cpp/tensor_iterator_test 1/1
2025-08-26T22:18:13.2761894Z     cpp/undefined_tensor_test 1/1
2025-08-26T22:18:13.2762188Z     cpp/wrapdim_test 1/1
2025-08-26T22:18:13.2762423Z Name: excluded (est. time: 0.0min)
2025-08-26T22:18:13.2762629Z   Serial tests (0):
2025-08-26T22:18:13.2762805Z   Parallel tests (0):
2025-08-26T22:18:13.2763163Z Running cpp/Dict_test 1/1 ... [2025-08-26 22:18:13.276071]
2025-08-26T22:18:13.2763445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:13.2768159Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-e271f9bbccae95e5.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:13.276583]
2025-08-26T22:18:14.8950887Z 
2025-08-26T22:18:14.8952299Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_4eb9d2bd083cc0a8_.log
2025-08-26T22:18:14.8953410Z 
2025-08-26T22:18:16.3359436Z Uploading artifacts took 1.44 seconds
2025-08-26T22:18:16.3359893Z Running cpp/Dimname_test 1/1 ... [2025-08-26 22:18:16.335678]
2025-08-26T22:18:16.3360265Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:16.3372179Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-68b848065eb7d3a8.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:16.336082]
2025-08-26T22:18:17.9540080Z 
2025-08-26T22:18:17.9540865Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_e6a2c0e5c0b11255_.log
2025-08-26T22:18:17.9541456Z 
2025-08-26T22:18:17.9543437Z Running cpp/NamedTensor_test 1/1 ... [2025-08-26 22:18:17.953870]
2025-08-26T22:18:17.9543840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:17.9546185Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2fc8e31337e1e695.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:17.954377]
2025-08-26T22:18:19.5727270Z 
2025-08-26T22:18:19.5728694Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_b40b1f5a01eac753_.log
2025-08-26T22:18:19.5729356Z 
2025-08-26T22:18:19.5729565Z Running cpp/apply_utils_test 1/1 ... [2025-08-26 22:18:19.572578]
2025-08-26T22:18:19.5730099Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:19.5732666Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-3721aba6573775d3.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:19.572959]
2025-08-26T22:18:21.1916033Z 
2025-08-26T22:18:21.1917194Z 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_835d25117801bf34_.log
2025-08-26T22:18:21.1917839Z 
2025-08-26T22:18:21.1918016Z Running cpp/atest 1/1 ... [2025-08-26 22:18:21.191391]
2025-08-26T22:18:21.1918354Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:21.1921193Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-7f0205c1084f8348.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:21.191867]
2025-08-26T22:18:22.8599113Z 
2025-08-26T22:18:22.8599993Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_165f84965e49c1ce_.log
2025-08-26T22:18:22.8600534Z 
2025-08-26T22:18:22.8600720Z Running cpp/basic 1/1 ... [2025-08-26 22:18:22.859747]
2025-08-26T22:18:22.8601057Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:22.8603834Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c714ea17deb4422a.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:22.860133]
2025-08-26T22:18:24.4787392Z 
2025-08-26T22:18:24.4788254Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_b2f9f7d609cc8ce1_.log
2025-08-26T22:18:24.4788916Z 
2025-08-26T22:18:24.4789125Z Running cpp/broadcast_test 1/1 ... [2025-08-26 22:18:24.478245]
2025-08-26T22:18:24.4789619Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:24.4790802Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-73acacbc8e65d27f.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:24.478833]
2025-08-26T22:18:26.0970656Z 
2025-08-26T22:18:26.0971512Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_44a0e0141ff6332b_.log
2025-08-26T22:18:26.0972107Z 
2025-08-26T22:18:26.0972299Z Running cpp/cpu_generator_test 1/1 ... [2025-08-26 22:18:26.096906]
2025-08-26T22:18:26.0972681Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:26.0975593Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-db4d7c013738c472.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:26.097319]
2025-08-26T22:18:27.7158692Z 
2025-08-26T22:18:27.7159910Z 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_f291d67024145a07_.log
2025-08-26T22:18:27.7161036Z 
2025-08-26T22:18:27.7161307Z Running cpp/dlconvertor_test 1/1 ... [2025-08-26 22:18:27.715406]
2025-08-26T22:18:27.7161855Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:27.7163407Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-dec155e00bbfc94f.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:27.716041]
2025-08-26T22:18:29.3342193Z 
2025-08-26T22:18:29.3343504Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_77df49942ca66feb_.log
2025-08-26T22:18:29.3344307Z 
2025-08-26T22:18:29.3344543Z Running cpp/extension_backend_test 1/1 ... [2025-08-26 22:18:29.334057]
2025-08-26T22:18:29.3344934Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:29.3348298Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-5c999c9ef8e6128d.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:29.334547]
2025-08-26T22:18:31.0028622Z 
2025-08-26T22:18:31.0029890Z 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_0bec1dec5fe509ee_.log
2025-08-26T22:18:31.0030552Z 
2025-08-26T22:18:31.0030776Z Running cpp/lazy_tensor_test 1/1 ... [2025-08-26 22:18:31.002609]
2025-08-26T22:18:31.0031153Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:31.0034631Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-4913de43b056ef55.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:31.003227]
2025-08-26T22:18:32.6213247Z 
2025-08-26T22:18:32.6214096Z 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_6ccb13b4c3771544_.log
2025-08-26T22:18:32.6214706Z 
2025-08-26T22:18:32.6214901Z Running cpp/legacy_vmap_test 1/1 ... [2025-08-26 22:18:32.621126]
2025-08-26T22:18:32.6215275Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:32.6217907Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1168bcb5608e6268.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:32.621519]
2025-08-26T22:18:34.2399495Z 
2025-08-26T22:18:34.2400984Z 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_8816c6e81903afa1_.log
2025-08-26T22:18:34.2401740Z 
2025-08-26T22:18:34.2401932Z Running cpp/native_test 1/1 ... [2025-08-26 22:18:34.239711]
2025-08-26T22:18:34.2402414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:34.2405875Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-efd2a7a38da65223.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:34.240311]
2025-08-26T22:18:35.8584674Z 
2025-08-26T22:18:35.8585603Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_ffa0b5c94add3b62_.log
2025-08-26T22:18:35.8586391Z 
2025-08-26T22:18:35.8586586Z Running cpp/operators_test 1/1 ... [2025-08-26 22:18:35.858177]
2025-08-26T22:18:35.8587061Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:35.8588117Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-69ed111c407df348.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:35.858554]
2025-08-26T22:18:37.4770061Z 
2025-08-26T22:18:37.4772116Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_67590653a385a2c7_.log
2025-08-26T22:18:37.4772791Z 
2025-08-26T22:18:37.4772964Z Running cpp/scalar_tensor_test 1/1 ... [2025-08-26 22:18:37.476712]
2025-08-26T22:18:37.4773388Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:37.4776038Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-5e4599a53b45c41b.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:37.477354]
2025-08-26T22:18:39.0955999Z 
2025-08-26T22:18:39.0957126Z 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_f8459902705f87c6_.log
2025-08-26T22:18:39.0957767Z 
2025-08-26T22:18:39.0957947Z Running cpp/scalar_test 1/1 ... [2025-08-26 22:18:39.095430]
2025-08-26T22:18:39.0958312Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:39.0961251Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-67e4d771133a6a46.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:39.095855]
2025-08-26T22:18:40.7643217Z 
2025-08-26T22:18:40.7644289Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_ab552a7e37ab042d_.log
2025-08-26T22:18:40.7645011Z 
2025-08-26T22:18:40.7645241Z Running cpp/tensor_iterator_test 1/1 ... [2025-08-26 22:18:40.764072]
2025-08-26T22:18:40.7645753Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:40.7648372Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-39ef5757a64f9487.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:40.764569]
2025-08-26T22:18:42.3830931Z 
2025-08-26T22:18:42.3832837Z 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_343ae216546d9e04_.log
2025-08-26T22:18:42.3834772Z 
2025-08-26T22:18:42.3835529Z Running cpp/undefined_tensor_test 1/1 ... [2025-08-26 22:18:42.382854]
2025-08-26T22:18:42.3836967Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:42.3839911Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c5596e6312654758.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:42.383663]
2025-08-26T22:18:44.0020723Z 
2025-08-26T22:18:44.0023008Z 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_521a91c54627e36d_.log
2025-08-26T22:18:44.0024144Z 
2025-08-26T22:18:44.0024418Z Running cpp/wrapdim_test 1/1 ... [2025-08-26 22:18:44.001714]
2025-08-26T22:18:44.0024948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:44.0027309Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-f548677627f68513.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:44.002450]
2025-08-26T22:18:45.6207886Z 
2025-08-26T22:18:45.6208835Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_1ca7932621740481_.log
2025-08-26T22:18:45.6209429Z 
2025-08-26T22:18:48.5977337Z /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.
2025-08-26T22:18:48.5979022Z   import pkg_resources
2025-08-26T22:18:48.6091552Z /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.
2025-08-26T22:18:48.6092890Z   import pkg_resources
2025-08-26T22:18:48.6137506Z /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.
2025-08-26T22:18:48.6138864Z   import pkg_resources
2025-08-26T22:18:48.9621123Z Running cpp/Dict_test 1/1 ... [2025-08-26 22:18:48.961669]
2025-08-26T22:18:48.9621538Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:48.9624882Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-529e19b607ad1610.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:48.962132]
2025-08-26T22:18:48.9702960Z Running cpp/Dimname_test 1/1 ... [2025-08-26 22:18:48.969991]
2025-08-26T22:18:48.9703348Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:48.9707269Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-45045822ceb0965a.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:48.970440]
2025-08-26T22:18:48.9721349Z Running cpp/NamedTensor_test 1/1 ... [2025-08-26 22:18:48.971924]
2025-08-26T22:18:48.9721744Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:48.9727401Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-cefb11705190df97.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:48.972505]
2025-08-26T22:18:51.6925891Z 
2025-08-26T22:18:51.6926972Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_4358f28e0ceb1ad7_.log
2025-08-26T22:18:51.6927761Z 
2025-08-26T22:18:52.6962176Z 
2025-08-26T22:18:52.6963556Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_ece46db4a3656b9e_.log
2025-08-26T22:18:52.6964426Z 
2025-08-26T22:18:55.7962506Z /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.
2025-08-26T22:18:55.7963839Z   import pkg_resources
2025-08-26T22:18:56.1782195Z Running cpp/apply_utils_test 1/1 ... [2025-08-26 22:18:56.177762]
2025-08-26T22:18:56.1783018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:56.1786010Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1d77826c0fa254b5.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:56.178270]
2025-08-26T22:18:56.7319243Z /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.
2025-08-26T22:18:56.7321226Z   import pkg_resources
2025-08-26T22:18:57.1152023Z Running cpp/atest 1/1 ... [2025-08-26 22:18:57.114667]
2025-08-26T22:18:57.1152563Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:18:57.1155314Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-4c30dba08ed1bf0a.xml', '-x', '--reruns=2'] ... [2025-08-26 22:18:57.115173]
2025-08-26T22:18:57.4963420Z 
2025-08-26T22:18:57.4964773Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_08c5761fad75c3f0_.log
2025-08-26T22:18:57.4965535Z 
2025-08-26T22:18:59.0497961Z 
2025-08-26T22:18:59.0499015Z 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_911f38356feb33e8_.log
2025-08-26T22:18:59.0500158Z 
2025-08-26T22:19:01.6101881Z /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.
2025-08-26T22:19:01.6102971Z   import pkg_resources
2025-08-26T22:19:01.6903758Z 
2025-08-26T22:19:01.6904609Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_ae80370a8fd170d5_.log
2025-08-26T22:19:01.6905238Z 
2025-08-26T22:19:01.9840440Z Running cpp/basic 1/1 ... [2025-08-26 22:19:01.983640]
2025-08-26T22:19:01.9840843Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:01.9844226Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-45f72f53d0096f64.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:01.984092]
2025-08-26T22:19:03.0159913Z /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.
2025-08-26T22:19:03.0161009Z   import pkg_resources
2025-08-26T22:19:03.4181422Z Running cpp/broadcast_test 1/1 ... [2025-08-26 22:19:03.417629]
2025-08-26T22:19:03.4181875Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:03.4185007Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6dfce5b0d7bb017a.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:03.418180]
2025-08-26T22:19:05.2565119Z 
2025-08-26T22:19:05.2566053Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_6b321e207b900dae_.log
2025-08-26T22:19:05.2566601Z 
2025-08-26T22:19:05.5621486Z /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.
2025-08-26T22:19:05.5623254Z   import pkg_resources
2025-08-26T22:19:05.6381404Z 
2025-08-26T22:19:05.6382697Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_5aa2f00bf96f4924_.log
2025-08-26T22:19:05.6383431Z 
2025-08-26T22:19:05.9362050Z Running cpp/cpu_generator_test 1/1 ... [2025-08-26 22:19:05.935790]
2025-08-26T22:19:05.9362524Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:05.9365841Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-816c998622c412f2.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:05.936258]
2025-08-26T22:19:09.2615649Z /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.
2025-08-26T22:19:09.2617008Z   import pkg_resources
2025-08-26T22:19:09.5290020Z /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.
2025-08-26T22:19:09.5291815Z   import pkg_resources
2025-08-26T22:19:09.6463920Z Running cpp/dlconvertor_test 1/1 ... [2025-08-26 22:19:09.645907]
2025-08-26T22:19:09.6464496Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:09.6467402Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-69aa910d667cf65a.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:09.646415]
2025-08-26T22:19:09.8966353Z Running cpp/extension_backend_test 1/1 ... [2025-08-26 22:19:09.896146]
2025-08-26T22:19:09.8966948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:09.8968999Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-efe013c959cdde06.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:09.896592]
2025-08-26T22:19:10.2101621Z 
2025-08-26T22:19:10.2102863Z 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_30aecc11aed904a8_.log
2025-08-26T22:19:10.2103739Z 
2025-08-26T22:19:12.1167513Z 
2025-08-26T22:19:12.1168848Z 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_2dbac23983fe35a3_.log
2025-08-26T22:19:12.1169736Z 
2025-08-26T22:19:12.3672912Z 
2025-08-26T22:19:12.3673856Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_43787cd873aa19e1_.log
2025-08-26T22:19:12.3674514Z 
2025-08-26T22:19:14.2746468Z /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.
2025-08-26T22:19:14.2747824Z   import pkg_resources
2025-08-26T22:19:14.6355436Z Running cpp/lazy_tensor_test 1/1 ... [2025-08-26 22:19:14.635126]
2025-08-26T22:19:14.6356057Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:14.6359076Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-ebbe4c0e1f7391e3.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:14.635605]
2025-08-26T22:19:15.9367492Z /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.
2025-08-26T22:19:15.9369520Z   import pkg_resources
2025-08-26T22:19:16.1788830Z /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.
2025-08-26T22:19:16.1790503Z   import pkg_resources
2025-08-26T22:19:16.3172157Z Running cpp/legacy_vmap_test 1/1 ... [2025-08-26 22:19:16.316799]
2025-08-26T22:19:16.3172612Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:16.3176158Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-58a88443bfc49378.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:16.317293]
2025-08-26T22:19:16.5556770Z Running cpp/native_test 1/1 ... [2025-08-26 22:19:16.555138]
2025-08-26T22:19:16.5557758Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:16.5560849Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2440b31413d23946.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:16.555745]
2025-08-26T22:19:16.7051523Z 
2025-08-26T22:19:16.7052485Z 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_2ff28d184108a085_.log
2025-08-26T22:19:16.7053096Z 
2025-08-26T22:19:19.2772616Z 
2025-08-26T22:19:19.2773662Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_c5bca02bbeab9c61_.log
2025-08-26T22:19:19.2774272Z 
2025-08-26T22:19:20.7807992Z /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.
2025-08-26T22:19:20.7809932Z   import pkg_resources
2025-08-26T22:19:21.1622882Z Running cpp/operators_test 1/1 ... [2025-08-26 22:19:21.161838]
2025-08-26T22:19:21.1623342Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:21.1626248Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-41fbab92cac4c522.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:21.162303]
2025-08-26T22:19:21.4932553Z 
2025-08-26T22:19:21.4933754Z 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_522670984ea26c31_.log
2025-08-26T22:19:21.4934620Z 
2025-08-26T22:19:23.3157965Z /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.
2025-08-26T22:19:23.3159351Z   import pkg_resources
2025-08-26T22:19:23.6834314Z Running cpp/scalar_tensor_test 1/1 ... [2025-08-26 22:19:23.682980]
2025-08-26T22:19:23.6835318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:23.6837379Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c09dc1c23d38f6d5.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:23.683432]
2025-08-26T22:19:23.7325662Z 
2025-08-26T22:19:23.7326620Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_934d4f60793411e5_.log
2025-08-26T22:19:23.7327557Z 
2025-08-26T22:19:25.5010134Z /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.
2025-08-26T22:19:25.5011554Z   import pkg_resources
2025-08-26T22:19:25.8765570Z Running cpp/scalar_test 1/1 ... [2025-08-26 22:19:25.876130]
2025-08-26T22:19:25.8766050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:25.8768817Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-af5795eaa0741b6b.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:25.876580]
2025-08-26T22:19:26.1533607Z 
2025-08-26T22:19:26.1534774Z 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_8ec54db28b92a591_.log
2025-08-26T22:19:26.1535722Z 
2025-08-26T22:19:27.6335765Z /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.
2025-08-26T22:19:27.6337909Z   import pkg_resources
2025-08-26T22:19:28.0168683Z Running cpp/tensor_iterator_test 1/1 ... [2025-08-26 22:19:28.016339]
2025-08-26T22:19:28.0169268Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:28.0170895Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1566d330a592fcd1.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:28.016805]
2025-08-26T22:19:28.6474204Z 
2025-08-26T22:19:28.6475108Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_5a1c5076c392011d_.log
2025-08-26T22:19:28.6475990Z 
2025-08-26T22:19:30.1410068Z /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.
2025-08-26T22:19:30.1412085Z   import pkg_resources
2025-08-26T22:19:30.5358509Z Running cpp/undefined_tensor_test 1/1 ... [2025-08-26 22:19:30.535351]
2025-08-26T22:19:30.5358972Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:30.5361880Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-13d649c6461a24c6.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:30.535886]
2025-08-26T22:19:32.7411216Z /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.
2025-08-26T22:19:32.7414507Z   import pkg_resources
2025-08-26T22:19:32.7559326Z 
2025-08-26T22:19:32.7560486Z 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_db3fad3ed6f707e4_.log
2025-08-26T22:19:32.7561049Z 
2025-08-26T22:19:33.1334406Z Running cpp/wrapdim_test 1/1 ... [2025-08-26 22:19:33.132974]
2025-08-26T22:19:33.1334839Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:33.1338336Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-f9368423a0ebdc0f.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:33.133467]
2025-08-26T22:19:35.3533526Z 
2025-08-26T22:19:35.3534992Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_662adbc1f4f3cb23_.log
2025-08-26T22:19:36.9424960Z 
2025-08-26T22:19:36.9426901Z /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.
2025-08-26T22:19:36.9428824Z   import pkg_resources
2025-08-26T22:19:39.3517707Z /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.
2025-08-26T22:19:39.3519196Z   import pkg_resources
2025-08-26T22:19:39.4574845Z 
2025-08-26T22:19:39.4575829Z 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_a5c1a21e33cf87a4_.log
2025-08-26T22:19:39.4576493Z 
2025-08-26T22:19:40.6359252Z Running test batch 'tests to run' cost 87.36 seconds
2025-08-26T22:19:41.3906923Z + run_if_exists tensor_interop_test
2025-08-26T22:19:41.3907323Z + local test_name=tensor_interop_test
2025-08-26T22:19:41.3907646Z + [[ -x build/bin/tensor_interop_test ]]
2025-08-26T22:19:41.3907989Z + echo 'Warning: tensor_interop_test does not exist.'
2025-08-26T22:19:41.3908361Z Warning: tensor_interop_test does not exist.
2025-08-26T22:19:41.3908674Z + run_if_exists cudnn_test
2025-08-26T22:19:41.3908923Z + local test_name=cudnn_test
2025-08-26T22:19:41.3909184Z + [[ -x build/bin/cudnn_test ]]
2025-08-26T22:19:41.3909456Z + echo 'Warning: cudnn_test does not exist.'
2025-08-26T22:19:41.3909749Z Warning: cudnn_test does not exist.
2025-08-26T22:19:41.3910022Z + run_if_exists cuda_generator_test
2025-08-26T22:19:41.3910299Z + local test_name=cuda_generator_test
2025-08-26T22:19:41.3910598Z + [[ -x build/bin/cuda_generator_test ]]
2025-08-26T22:19:41.3910991Z + python test/run_test.py --cpp --verbose -i cpp/cuda_generator_test
2025-08-26T22:19:43.9860062Z /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.
2025-08-26T22:19:43.9861387Z   import pkg_resources
2025-08-26T22:19:45.7459990Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-26T22:19:45.7559591Z Found test times from artifacts
2025-08-26T22:19:45.7972245Z Found test times from artifacts
2025-08-26T22:19:45.7984087Z Running all tests
2025-08-26T22:19:45.7987107Z Running parallel tests on 3 processes
2025-08-26T22:19:45.7987529Z Name: tests to run (est. time: 0.0min)
2025-08-26T22:19:45.7987821Z   Serial tests (0):
2025-08-26T22:19:45.7988192Z   Parallel tests (1):
2025-08-26T22:19:45.7988828Z     cpp/cuda_generator_test 1/1
2025-08-26T22:19:45.7989104Z Name: excluded (est. time: 0.0min)
2025-08-26T22:19:45.7989367Z   Serial tests (0):
2025-08-26T22:19:45.7989588Z   Parallel tests (0):
2025-08-26T22:19:45.7989916Z Running cpp/cuda_generator_test 1/1 ... [2025-08-26 22:19:45.798774]
2025-08-26T22:19:45.7990294Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:45.7994711Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c479aa68da237aba.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:45.799221]
2025-08-26T22:19:47.4176451Z 
2025-08-26T22:19:47.4177685Z cpp/cuda_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_generator_test_1.1_f8d5e04273453bfe_.log
2025-08-26T22:19:47.4178215Z 
2025-08-26T22:19:48.7590753Z Uploading artifacts took 1.34 seconds
2025-08-26T22:19:51.7064117Z /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.
2025-08-26T22:19:51.7065849Z   import pkg_resources
2025-08-26T22:19:51.7242208Z /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.
2025-08-26T22:19:51.7243968Z   import pkg_resources
2025-08-26T22:19:51.7247078Z /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.
2025-08-26T22:19:51.7248202Z   import pkg_resources
2025-08-26T22:19:52.0687603Z Running cpp/cuda_generator_test 1/1 ... [2025-08-26 22:19:52.068365]
2025-08-26T22:19:52.0687978Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:19:52.0691108Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_generator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c46c8401afc9d2a6.xml', '-x', '--reruns=2'] ... [2025-08-26 22:19:52.068838]
2025-08-26T22:19:56.3430350Z 
2025-08-26T22:19:56.3431237Z cpp/cuda_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_generator_test_1.1_9046d571b20d5017_.log
2025-08-26T22:19:56.3431782Z 
2025-08-26T22:19:57.3574544Z Running test batch 'tests to run' cost 11.56 seconds
2025-08-26T22:19:58.1185615Z + run_if_exists apply_test
2025-08-26T22:19:58.1185982Z + local test_name=apply_test
2025-08-26T22:19:58.1186275Z + [[ -x build/bin/apply_test ]]
2025-08-26T22:19:58.1186578Z + echo 'Warning: apply_test does not exist.'
2025-08-26T22:19:58.1186896Z Warning: apply_test does not exist.
2025-08-26T22:19:58.1187171Z + run_if_exists stream_test
2025-08-26T22:19:58.1187438Z + local test_name=stream_test
2025-08-26T22:19:58.1187705Z + [[ -x build/bin/stream_test ]]
2025-08-26T22:19:58.1187989Z + echo 'Warning: stream_test does not exist.'
2025-08-26T22:19:58.1188307Z Warning: stream_test does not exist.
2025-08-26T22:19:58.1188590Z + run_if_exists cuda_half_test
2025-08-26T22:19:58.1188851Z + local test_name=cuda_half_test
2025-08-26T22:19:58.1189110Z + [[ -x build/bin/cuda_half_test ]]
2025-08-26T22:19:58.1189476Z + python test/run_test.py --cpp --verbose -i cpp/cuda_half_test
2025-08-26T22:20:00.7087384Z /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.
2025-08-26T22:20:00.7089024Z   import pkg_resources
2025-08-26T22:20:02.4285674Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-26T22:20:02.4383389Z Found test times from artifacts
2025-08-26T22:20:02.4791863Z Found test times from artifacts
2025-08-26T22:20:02.4803094Z Running all tests
2025-08-26T22:20:02.4806304Z Running parallel tests on 3 processes
2025-08-26T22:20:02.4806693Z Name: tests to run (est. time: 0.0min)
2025-08-26T22:20:02.4806972Z   Serial tests (0):
2025-08-26T22:20:02.4807203Z   Parallel tests (1):
2025-08-26T22:20:02.4807439Z     cpp/cuda_half_test 1/1
2025-08-26T22:20:02.4807950Z Name: excluded (est. time: 0.0min)
2025-08-26T22:20:02.4808316Z   Serial tests (0):
2025-08-26T22:20:02.4808553Z   Parallel tests (0):
2025-08-26T22:20:02.4809021Z Running cpp/cuda_half_test 1/1 ... [2025-08-26 22:20:02.480678]
2025-08-26T22:20:02.4809413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:20:02.4813986Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_half_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-f2486e5d6a9cbec4.xml', '-x', '--reruns=2'] ... [2025-08-26 22:20:02.481132]
2025-08-26T22:20:04.0994664Z 
2025-08-26T22:20:04.0995672Z cpp/cuda_half_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_half_test_1.1_ba5d9939345e22b0_.log
2025-08-26T22:20:04.0996657Z 
2025-08-26T22:20:06.4217800Z Uploading artifacts took 2.32 seconds
2025-08-26T22:20:09.3410884Z /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.
2025-08-26T22:20:09.3412253Z   import pkg_resources
2025-08-26T22:20:09.3734153Z /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.
2025-08-26T22:20:09.3735483Z   import pkg_resources
2025-08-26T22:20:09.3775557Z /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.
2025-08-26T22:20:09.3776860Z   import pkg_resources
2025-08-26T22:20:09.7034881Z Running cpp/cuda_half_test 1/1 ... [2025-08-26 22:20:09.703081]
2025-08-26T22:20:09.7035323Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:20:09.7038512Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_half_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-5e502dc79b2eab6e.xml', '-x', '--reruns=2'] ... [2025-08-26 22:20:09.703523]
2025-08-26T22:20:11.9232980Z 
2025-08-26T22:20:11.9234317Z cpp/cuda_half_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_half_test_1.1_cadeffa108b080c5_.log
2025-08-26T22:20:11.9235485Z 
2025-08-26T22:20:12.9790955Z Running test batch 'tests to run' cost 10.5 seconds
2025-08-26T22:20:13.7324264Z + run_if_exists cuda_vectorized_test
2025-08-26T22:20:13.7324635Z + local test_name=cuda_vectorized_test
2025-08-26T22:20:13.7324993Z + [[ -x build/bin/cuda_vectorized_test ]]
2025-08-26T22:20:13.7325414Z + python test/run_test.py --cpp --verbose -i cpp/cuda_vectorized_test
2025-08-26T22:20:16.3247600Z /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.
2025-08-26T22:20:16.3248937Z   import pkg_resources
2025-08-26T22:20:18.0351640Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-26T22:20:18.0449786Z Found test times from artifacts
2025-08-26T22:20:18.0858658Z Found test times from artifacts
2025-08-26T22:20:18.0871339Z Running all tests
2025-08-26T22:20:18.0874173Z Running parallel tests on 3 processes
2025-08-26T22:20:18.0874766Z Name: tests to run (est. time: 0.0min)
2025-08-26T22:20:18.0875067Z   Serial tests (0):
2025-08-26T22:20:18.0875465Z   Parallel tests (1):
2025-08-26T22:20:18.0875965Z     cpp/cuda_vectorized_test 1/1
2025-08-26T22:20:18.0876250Z Name: excluded (est. time: 0.0min)
2025-08-26T22:20:18.0876509Z   Serial tests (0):
2025-08-26T22:20:18.0876725Z   Parallel tests (0):
2025-08-26T22:20:18.0877059Z Running cpp/cuda_vectorized_test 1/1 ... [2025-08-26 22:20:18.087433]
2025-08-26T22:20:18.0877598Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:20:18.0880895Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_vectorized_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-700b96b9fb7fc768.xml', '-x', '--reruns=2'] ... [2025-08-26 22:20:18.087863]
2025-08-26T22:20:19.7060113Z 
2025-08-26T22:20:19.7061012Z cpp/cuda_vectorized_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_vectorized_test_1.1_6240c7277163efa0_.log
2025-08-26T22:20:19.7061675Z 
2025-08-26T22:20:21.3362535Z Uploading artifacts took 1.63 seconds
2025-08-26T22:20:24.2104467Z /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.
2025-08-26T22:20:24.2105815Z   import pkg_resources
2025-08-26T22:20:24.2651409Z /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.
2025-08-26T22:20:24.2652538Z   import pkg_resources
2025-08-26T22:20:24.2653530Z /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.
2025-08-26T22:20:24.2654519Z   import pkg_resources
2025-08-26T22:20:24.5743782Z Running cpp/cuda_vectorized_test 1/1 ... [2025-08-26 22:20:24.573929]
2025-08-26T22:20:24.5744226Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:20:24.5746980Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_vectorized_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-98aabfdb6740ade7.xml', '-x', '--reruns=2'] ... [2025-08-26 22:20:24.574393]
2025-08-26T22:20:26.8941005Z 
2025-08-26T22:20:26.8942070Z cpp/cuda_vectorized_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_vectorized_test_1.1_f542f98acdcf5c29_.log
2025-08-26T22:20:26.8942742Z 
2025-08-26T22:20:27.9444039Z Running test batch 'tests to run' cost 9.86 seconds
2025-08-26T22:20:28.7023450Z + run_if_exists cuda_distributions_test
2025-08-26T22:20:28.7023867Z + local test_name=cuda_distributions_test
2025-08-26T22:20:28.7024219Z + [[ -x build/bin/cuda_distributions_test ]]
2025-08-26T22:20:28.7024650Z + python test/run_test.py --cpp --verbose -i cpp/cuda_distributions_test
2025-08-26T22:20:31.3397333Z /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.
2025-08-26T22:20:31.3398665Z   import pkg_resources
2025-08-26T22:20:33.0520777Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-26T22:20:33.0619396Z Found test times from artifacts
2025-08-26T22:20:33.1031238Z Found test times from artifacts
2025-08-26T22:20:33.1043977Z Running all tests
2025-08-26T22:20:33.1046892Z Running parallel tests on 3 processes
2025-08-26T22:20:33.1047243Z Name: tests to run (est. time: 0.0min)
2025-08-26T22:20:33.1047519Z   Serial tests (0):
2025-08-26T22:20:33.1047738Z   Parallel tests (1):
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2025-08-26T22:20:33.1048735Z Name: excluded (est. time: 0.0min)
2025-08-26T22:20:33.1049014Z   Serial tests (0):
2025-08-26T22:20:33.1049227Z   Parallel tests (0):
2025-08-26T22:20:33.1049612Z Running cpp/cuda_distributions_test 1/1 ... [2025-08-26 22:20:33.104701]
2025-08-26T22:20:33.1050137Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:20:33.1053637Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_distributions_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-ca60577e65925ed7.xml', '-x', '--reruns=2'] ... [2025-08-26 22:20:33.105116]
2025-08-26T22:20:34.7235307Z 
2025-08-26T22:20:34.7236426Z cpp/cuda_distributions_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_distributions_test_1.1_ebd71873df08ee1c_.log
2025-08-26T22:20:34.7237100Z 
2025-08-26T22:20:36.0898544Z Uploading artifacts took 1.37 seconds
2025-08-26T22:20:39.0020481Z /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.
2025-08-26T22:20:39.0021857Z   import pkg_resources
2025-08-26T22:20:39.0206085Z /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.
2025-08-26T22:20:39.0207524Z   import pkg_resources
2025-08-26T22:20:39.0208731Z /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.
2025-08-26T22:20:39.0209982Z   import pkg_resources
2025-08-26T22:20:39.3663793Z Running cpp/cuda_distributions_test 1/1 ... [2025-08-26 22:20:39.365962]
2025-08-26T22:20:39.3664281Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:20:39.3666716Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_distributions_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-9f76542c6dd40e62.xml', '-x', '--reruns=2'] ... [2025-08-26 22:20:39.366405]
2025-08-26T22:20:42.4377535Z 
2025-08-26T22:20:42.4379080Z cpp/cuda_distributions_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_distributions_test_1.1_c8bd168f2bf65383_.log
2025-08-26T22:20:42.4379954Z 
2025-08-26T22:20:43.4889435Z Running test batch 'tests to run' cost 10.38 seconds
2025-08-26T22:20:44.2597501Z + run_if_exists cuda_optional_test
2025-08-26T22:20:44.2597904Z + local test_name=cuda_optional_test
2025-08-26T22:20:44.2598240Z + [[ -x build/bin/cuda_optional_test ]]
2025-08-26T22:20:44.2598646Z + python test/run_test.py --cpp --verbose -i cpp/cuda_optional_test
2025-08-26T22:20:46.8533371Z /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.
2025-08-26T22:20:48.5744264Z   import pkg_resources
2025-08-26T22:20:48.5745046Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-26T22:20:48.5838429Z Found test times from artifacts
2025-08-26T22:20:48.6247840Z Found test times from artifacts
2025-08-26T22:20:48.6259367Z Running all tests
2025-08-26T22:20:48.6262763Z Running parallel tests on 3 processes
2025-08-26T22:20:48.6263521Z Name: tests to run (est. time: 0.0min)
2025-08-26T22:20:48.6263908Z   Serial tests (0):
2025-08-26T22:20:48.6264148Z   Parallel tests (1):
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2025-08-26T22:20:48.6264951Z Name: excluded (est. time: 0.0min)
2025-08-26T22:20:48.6265281Z   Serial tests (0):
2025-08-26T22:20:48.6265588Z   Parallel tests (0):
2025-08-26T22:20:48.6265907Z Running cpp/cuda_optional_test 1/1 ... [2025-08-26 22:20:48.626282]
2025-08-26T22:20:48.6266427Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:20:48.6269428Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_optional_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-25fa46e2966f90bf.xml', '-x', '--reruns=2'] ... [2025-08-26 22:20:48.626700]
2025-08-26T22:20:50.2449106Z 
2025-08-26T22:20:50.2450545Z cpp/cuda_optional_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_optional_test_1.1_453880c877685dd4_.log
2025-08-26T22:20:50.2451303Z 
2025-08-26T22:20:51.6518163Z Uploading artifacts took 1.41 seconds
2025-08-26T22:20:54.6154488Z /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.
2025-08-26T22:20:54.6155988Z   import pkg_resources
2025-08-26T22:20:54.6157233Z /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.
2025-08-26T22:20:54.6158469Z   import pkg_resources
2025-08-26T22:20:54.6217360Z /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.
2025-08-26T22:20:54.6218671Z   import pkg_resources
2025-08-26T22:20:54.9746458Z Running cpp/cuda_optional_test 1/1 ... [2025-08-26 22:20:54.974189]
2025-08-26T22:20:54.9746918Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:20:54.9750391Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_optional_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-f5cdc0f9f9a41451.xml', '-x', '--reruns=2'] ... [2025-08-26 22:20:54.974718]
2025-08-26T22:20:56.9932261Z 
2025-08-26T22:20:56.9933171Z cpp/cuda_optional_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_optional_test_1.1_451f71532792d63f_.log
2025-08-26T22:20:56.9933790Z 
2025-08-26T22:20:58.0366700Z Running test batch 'tests to run' cost 9.41 seconds
2025-08-26T22:20:58.7989585Z + run_if_exists cuda_tensor_interop_test
2025-08-26T22:20:58.7989964Z + local test_name=cuda_tensor_interop_test
2025-08-26T22:20:58.7990244Z + [[ -x build/bin/cuda_tensor_interop_test ]]
2025-08-26T22:20:58.7990541Z + echo 'Warning: cuda_tensor_interop_test does not exist.'
2025-08-26T22:20:58.7990868Z Warning: cuda_tensor_interop_test does not exist.
2025-08-26T22:20:58.7991431Z + run_if_exists cuda_complex_test
2025-08-26T22:20:58.7991676Z + local test_name=cuda_complex_test
2025-08-26T22:20:58.7991924Z + [[ -x build/bin/cuda_complex_test ]]
2025-08-26T22:20:58.7992239Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_test
2025-08-26T22:21:01.3885972Z /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.
2025-08-26T22:21:01.3887347Z   import pkg_resources
2025-08-26T22:21:03.1132658Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-26T22:21:03.1230406Z Found test times from artifacts
2025-08-26T22:21:03.1640078Z Found test times from artifacts
2025-08-26T22:21:03.1651588Z Running all tests
2025-08-26T22:21:03.1654942Z Running parallel tests on 3 processes
2025-08-26T22:21:03.1655420Z Name: tests to run (est. time: 0.0min)
2025-08-26T22:21:03.1655731Z   Serial tests (0):
2025-08-26T22:21:03.1655952Z   Parallel tests (1):
2025-08-26T22:21:03.1656209Z     cpp/cuda_complex_test 1/1
2025-08-26T22:21:03.1656509Z Name: excluded (est. time: 0.0min)
2025-08-26T22:21:03.1656881Z   Serial tests (0):
2025-08-26T22:21:03.1657107Z   Parallel tests (0):
2025-08-26T22:21:03.1657519Z Running cpp/cuda_complex_test 1/1 ... [2025-08-26 22:21:03.165510]
2025-08-26T22:21:03.1657970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:21:03.1662059Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_complex_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1096778bafc73f17.xml', '-x', '--reruns=2'] ... [2025-08-26 22:21:03.165945]
2025-08-26T22:21:04.7842369Z 
2025-08-26T22:21:04.7844279Z cpp/cuda_complex_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_complex_test_1.1_f5290f5d9386081c_.log
2025-08-26T22:21:04.7845099Z 
2025-08-26T22:21:06.2389883Z Uploading artifacts took 1.45 seconds
2025-08-26T22:21:09.1692265Z /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.
2025-08-26T22:21:09.1693618Z   import pkg_resources
2025-08-26T22:21:09.1941573Z /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.
2025-08-26T22:21:09.1943530Z   import pkg_resources
2025-08-26T22:21:09.1945591Z /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.
2025-08-26T22:21:09.1947861Z   import pkg_resources
2025-08-26T22:21:09.5301074Z Running cpp/cuda_complex_test 1/1 ... [2025-08-26 22:21:09.529659]
2025-08-26T22:21:09.5301728Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:21:09.5304718Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_complex_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1813c71d4f589091.xml', '-x', '--reruns=2'] ... [2025-08-26 22:21:09.530136]
2025-08-26T22:21:13.2030143Z 
2025-08-26T22:21:13.2031411Z cpp/cuda_complex_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_complex_test_1.1_568d3d057b50cef1_.log
2025-08-26T22:21:13.2032106Z 
2025-08-26T22:21:14.2428023Z Running test batch 'tests to run' cost 11.08 seconds
2025-08-26T22:21:15.0028871Z + run_if_exists cuda_complex_math_test
2025-08-26T22:21:15.0029259Z + local test_name=cuda_complex_math_test
2025-08-26T22:21:15.0029577Z + [[ -x build/bin/cuda_complex_math_test ]]
2025-08-26T22:21:15.0029995Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_math_test
2025-08-26T22:21:17.6056935Z /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.
2025-08-26T22:21:17.6058392Z   import pkg_resources
2025-08-26T22:21:19.3313871Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-26T22:21:19.3412637Z Found test times from artifacts
2025-08-26T22:21:19.3823622Z Found test times from artifacts
2025-08-26T22:21:19.3834895Z Running all tests
2025-08-26T22:21:19.3838148Z Running parallel tests on 3 processes
2025-08-26T22:21:19.3838503Z Name: tests to run (est. time: 0.0min)
2025-08-26T22:21:19.3838790Z   Serial tests (0):
2025-08-26T22:21:19.3839015Z   Parallel tests (1):
2025-08-26T22:21:19.3839272Z     cpp/cuda_complex_math_test 1/1
2025-08-26T22:21:19.3839490Z Name: excluded (est. time: 0.0min)
2025-08-26T22:21:19.3839697Z   Serial tests (0):
2025-08-26T22:21:19.3839937Z   Parallel tests (0):
2025-08-26T22:21:19.3840368Z Running cpp/cuda_complex_math_test 1/1 ... [2025-08-26 22:21:19.383852]
2025-08-26T22:21:19.3840691Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:21:19.3845444Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_complex_math_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-32365e06ec16ae4f.xml', '-x', '--reruns=2'] ... [2025-08-26 22:21:19.384318]
2025-08-26T22:21:21.0029476Z 
2025-08-26T22:21:21.0031075Z cpp/cuda_complex_math_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_complex_math_test_1.1_ab0f2e98e0d335ce_.log
2025-08-26T22:21:21.0031718Z 
2025-08-26T22:21:22.5457749Z Uploading artifacts took 1.54 seconds
2025-08-26T22:21:25.4033418Z /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.
2025-08-26T22:21:25.4034752Z   import pkg_resources
2025-08-26T22:21:25.4553201Z /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.
2025-08-26T22:21:25.4554841Z   import pkg_resources
2025-08-26T22:21:25.4595614Z /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.
2025-08-26T22:21:25.4596978Z   import pkg_resources
2025-08-26T22:21:25.7684062Z Running cpp/cuda_complex_math_test 1/1 ... [2025-08-26 22:21:25.768007]
2025-08-26T22:21:25.7684525Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:21:25.7687932Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_complex_math_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-5fa7cc42eb9377ef.xml', '-x', '--reruns=2'] ... [2025-08-26 22:21:25.768478]
2025-08-26T22:21:33.9004173Z 
2025-08-26T22:21:33.9005889Z cpp/cuda_complex_math_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_complex_math_test_1.1_bbc9ef0df2aa685a_.log
2025-08-26T22:21:33.9006912Z 
2025-08-26T22:21:34.9464975Z Running test batch 'tests to run' cost 15.56 seconds
2025-08-26T22:21:35.6997685Z + run_if_exists cuda_cub_test
2025-08-26T22:21:35.6998067Z + local test_name=cuda_cub_test
2025-08-26T22:21:35.6998355Z + [[ -x build/bin/cuda_cub_test ]]
2025-08-26T22:21:35.6998734Z + python test/run_test.py --cpp --verbose -i cpp/cuda_cub_test
2025-08-26T22:21:38.2959629Z /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.
2025-08-26T22:21:38.2960947Z   import pkg_resources
2025-08-26T22:21:40.0099988Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-26T22:21:40.0203500Z Found test times from artifacts
2025-08-26T22:21:40.0611395Z Found test times from artifacts
2025-08-26T22:21:40.0623362Z Running all tests
2025-08-26T22:21:40.0626695Z Running parallel tests on 3 processes
2025-08-26T22:21:40.0627033Z Name: tests to run (est. time: 0.0min)
2025-08-26T22:21:40.0627303Z   Serial tests (0):
2025-08-26T22:21:40.0627535Z   Parallel tests (1):
2025-08-26T22:21:40.0627936Z     cpp/cuda_cub_test 1/1
2025-08-26T22:21:40.0628202Z Name: excluded (est. time: 0.0min)
2025-08-26T22:21:40.0628472Z   Serial tests (0):
2025-08-26T22:21:40.0628687Z   Parallel tests (0):
2025-08-26T22:21:40.0629415Z Running cpp/cuda_cub_test 1/1 ... [2025-08-26 22:21:40.062721]
2025-08-26T22:21:40.0629856Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:21:40.0634549Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_cub_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-0926a3a3b42e51dc.xml', '-x', '--reruns=2'] ... [2025-08-26 22:21:40.063190]
2025-08-26T22:21:41.6817118Z 
2025-08-26T22:21:41.6818523Z cpp/cuda_cub_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_cub_test_1.1_c98f1ef5df12d67c_.log
2025-08-26T22:21:41.6819108Z 
2025-08-26T22:21:43.0852205Z Uploading artifacts took 1.40 seconds
2025-08-26T22:21:46.0057099Z /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.
2025-08-26T22:21:46.0058493Z   import pkg_resources
2025-08-26T22:21:46.0232247Z /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.
2025-08-26T22:21:46.0233906Z   import pkg_resources
2025-08-26T22:21:46.0238841Z /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.
2025-08-26T22:21:46.0240114Z   import pkg_resources
2025-08-26T22:21:46.3715167Z Running cpp/cuda_cub_test 1/1 ... [2025-08-26 22:21:46.371103]
2025-08-26T22:21:46.3715598Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:21:46.3719784Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_cub_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d5a73c461b3eb154.xml', '-x', '--reruns=2'] ... [2025-08-26 22:21:46.371604]
2025-08-26T22:21:48.6911834Z 
2025-08-26T22:21:48.6912797Z cpp/cuda_cub_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_cub_test_1.1_24e4ba2173139b45_.log
2025-08-26T22:21:48.6913832Z 
2025-08-26T22:21:49.7352831Z Running test batch 'tests to run' cost 9.67 seconds
2025-08-26T22:21:50.4998811Z + run_if_exists cuda_atomic_ops_test
2025-08-26T22:21:50.4999204Z + local test_name=cuda_atomic_ops_test
2025-08-26T22:21:50.4999831Z + [[ -x build/bin/cuda_atomic_ops_test ]]
2025-08-26T22:21:50.5000230Z + python test/run_test.py --cpp --verbose -i cpp/cuda_atomic_ops_test
2025-08-26T22:21:53.0738598Z /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.
2025-08-26T22:21:53.0739964Z   import pkg_resources
2025-08-26T22:21:54.7915348Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-26T22:21:54.8013138Z Found test times from artifacts
2025-08-26T22:21:54.8423925Z Found test times from artifacts
2025-08-26T22:21:54.8436147Z Running all tests
2025-08-26T22:21:54.8439650Z Running parallel tests on 3 processes
2025-08-26T22:21:54.8440219Z Name: tests to run (est. time: 0.0min)
2025-08-26T22:21:54.8440551Z   Serial tests (0):
2025-08-26T22:21:54.8440773Z   Parallel tests (1):
2025-08-26T22:21:54.8441066Z     cpp/cuda_atomic_ops_test 1/1
2025-08-26T22:21:54.8441433Z Name: excluded (est. time: 0.0min)
2025-08-26T22:21:54.8441759Z   Serial tests (0):
2025-08-26T22:21:54.8442151Z   Parallel tests (0):
2025-08-26T22:21:54.8442518Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-08-26 22:21:54.843977]
2025-08-26T22:21:54.8443126Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:21:54.8446673Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_atomic_ops_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-8ab275bd90331364.xml', '-x', '--reruns=2'] ... [2025-08-26 22:21:54.844432]
2025-08-26T22:21:56.4627591Z 
2025-08-26T22:21:56.4628441Z cpp/cuda_atomic_ops_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_atomic_ops_test_1.1_101ccf658887f914_.log
2025-08-26T22:21:56.4629093Z 
2025-08-26T22:21:57.8158598Z Uploading artifacts took 1.35 seconds
2025-08-26T22:22:00.7847755Z /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.
2025-08-26T22:22:00.7849611Z   import pkg_resources
2025-08-26T22:22:00.7863151Z /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.
2025-08-26T22:22:00.7864650Z   import pkg_resources
2025-08-26T22:22:00.7940495Z /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.
2025-08-26T22:22:00.7941926Z   import pkg_resources
2025-08-26T22:22:01.1534563Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-08-26 22:22:01.153016]
2025-08-26T22:22:01.1535156Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:22:01.1537948Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cuda_atomic_ops_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-22fbb3f6122c5adb.xml', '-x', '--reruns=2'] ... [2025-08-26 22:22:01.153459]
2025-08-26T22:22:04.1748091Z 
2025-08-26T22:22:04.1749294Z cpp/cuda_atomic_ops_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cuda_atomic_ops_test_1.1_4ca7eae67fdf7fc8_.log
2025-08-26T22:22:04.1750220Z 
2025-08-26T22:22:05.2290932Z Running test batch 'tests to run' cost 10.38 seconds
2025-08-26T22:22:05.9945808Z + '[' ON == ON ']'
2025-08-26T22:22:05.9946750Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA'
2025-08-26T22:22:06.0208594Z ==169004== Memcheck, a memory error detector
2025-08-26T22:22:06.0209310Z ==169004== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al.
2025-08-26T22:22:06.0209852Z ==169004== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info
2025-08-26T22:22:06.0210310Z ==169004== Command: build/bin/basic --gtest_filter=-*CUDA
2025-08-26T22:22:06.0210624Z ==169004== 
2025-08-26T22:22:06.3456745Z ==169004== Warning: set address range perms: large range [0x4a9d000, 0x1909a000) (defined)
2025-08-26T22:22:06.3457570Z ==169004== Warning: set address range perms: large range [0x59b3000, 0x161e1000) (defined)
2025-08-26T22:22:09.0139228Z ==169004== Warning: set address range perms: large range [0x1909a000, 0x2bf0f000) (defined)
2025-08-26T22:22:10.0756387Z ==169004== Warning: set address range perms: large range [0x2d89b000, 0x44d50000) (noaccess)
2025-08-26T22:22:10.0757079Z ==169004== Warning: set address range perms: large range [0x2da00000, 0x44cb5000) (defined)
2025-08-26T22:22:10.1178858Z ==169004== Warning: set address range perms: large range [0x44cb5000, 0x5607a000) (noaccess)
2025-08-26T22:22:10.1179795Z ==169004== Warning: set address range perms: large range [0x44e00000, 0x55fc5000) (defined)
2025-08-26T22:22:10.1502400Z ==169004== Warning: set address range perms: large range [0x45dbd000, 0x55fc5000) (defined)
2025-08-26T22:22:10.1614250Z ==169004== Warning: set address range perms: large range [0x59c92000, 0x73439000) (defined)
2025-08-26T22:22:10.1615212Z ==169004== Warning: set address range perms: large range [0x5ec47000, 0x73083000) (defined)
2025-08-26T22:22:10.9115169Z ==169004== Warning: set address range perms: large range [0x73439000, 0x89eab000) (defined)
2025-08-26T22:22:10.9116075Z ==169004== Warning: set address range perms: large range [0x735ef000, 0x89e54000) (defined)
2025-08-26T22:22:11.0312832Z ==169004== Warning: set address range perms: large range [0x99d0b000, 0xcc1fd000) (noaccess)
2025-08-26T22:22:11.0313794Z ==169004== Warning: set address range perms: large range [0x99e00000, 0xcc0f2000) (defined)
2025-08-26T22:22:54.3888108Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2025-08-26T22:22:54.4128506Z Note: Google Test filter = -*CUDA
2025-08-26T22:22:54.4188739Z [==========] Running 6 tests from 1 test suite.
2025-08-26T22:22:54.4202535Z [----------] Global test environment set-up.
2025-08-26T22:22:54.4252885Z [----------] 6 tests from BasicTest
2025-08-26T22:22:54.4273289Z [ RUN      ] BasicTest.BasicTestCPU
2025-08-26T22:22:54.6640094Z ==169004== Warning: noted but unhandled ioctl 0x30000001 with no size/direction hints.
2025-08-26T22:22:54.6640656Z ==169004==    This could cause spurious value errors to appear.
2025-08-26T22:22:54.6641163Z ==169004==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-26T22:22:54.6646774Z ==169004== Warning: noted but unhandled ioctl 0x4b with no size/direction hints.
2025-08-26T22:22:54.6647417Z ==169004==    This could cause spurious value errors to appear.
2025-08-26T22:22:54.6647820Z ==169004==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-26T22:22:54.6654666Z ==169004== Warning: noted but unhandled ioctl 0x27 with no size/direction hints.
2025-08-26T22:22:54.6655155Z ==169004==    This could cause spurious value errors to appear.
2025-08-26T22:22:54.6655842Z ==169004==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-26T22:22:54.8032311Z ==169004== Warning: noted but unhandled ioctl 0x25 with no size/direction hints.
2025-08-26T22:22:54.8032847Z ==169004==    This could cause spurious value errors to appear.
2025-08-26T22:22:54.8033613Z ==169004==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-26T22:22:54.8826982Z ==169004== Warning: noted but unhandled ioctl 0x46 with no size/direction hints.
2025-08-26T22:22:54.8827535Z ==169004==    This could cause spurious value errors to appear.
2025-08-26T22:22:54.8828063Z ==169004==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-26T22:22:54.8834122Z ==169004== Warning: noted but unhandled ioctl 0x17 with no size/direction hints.
2025-08-26T22:22:54.8834626Z ==169004==    This could cause spurious value errors to appear.
2025-08-26T22:22:54.8835119Z ==169004==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-26T22:22:54.8926801Z ==169004== Warning: set address range perms: large range [0x200000000, 0x300200000) (noaccess)
2025-08-26T22:22:56.6130394Z    1162 ms
2025-08-26T22:22:56.9156441Z    36 ms
2025-08-26T22:22:56.9759929Z    53 ms
2025-08-26T22:22:59.4017902Z [       OK ] BasicTest.BasicTestCPU (4972 ms)
2025-08-26T22:22:59.4761303Z [ RUN      ] BasicTest.BasicTestHalfCPU
2025-08-26T22:22:59.8854828Z    347 ms
2025-08-26T22:22:59.9568566Z    29 ms
2025-08-26T22:23:00.2489808Z    52 ms
2025-08-26T22:23:00.2953774Z [       OK ] BasicTest.BasicTestHalfCPU (792 ms)
2025-08-26T22:23:00.2954317Z [ RUN      ] BasicTest.FactoryMethodsTest
2025-08-26T22:23:00.3771035Z ==169004== Warning: noted but unhandled ioctl 0x19 with no size/direction hints.
2025-08-26T22:23:00.3771680Z ==169004==    This could cause spurious value errors to appear.
2025-08-26T22:23:00.3772311Z ==169004==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-26T22:23:00.4028341Z ==169004== Warning: noted but unhandled ioctl 0x49 with no size/direction hints.
2025-08-26T22:23:00.4029059Z ==169004==    This could cause spurious value errors to appear.
2025-08-26T22:23:00.4029767Z ==169004==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-26T22:23:00.4040002Z ==169004== Warning: noted but unhandled ioctl 0x21 with no size/direction hints.
2025-08-26T22:23:00.4040704Z ==169004==    This could cause spurious value errors to appear.
2025-08-26T22:23:00.4041430Z ==169004==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-26T22:23:00.5280627Z ==169004== Warning: noted but unhandled ioctl 0x1b with no size/direction hints.
2025-08-26T22:23:00.5281600Z ==169004==    This could cause spurious value errors to appear.
2025-08-26T22:23:00.5282194Z ==169004==    See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper.
2025-08-26T22:23:01.4485028Z [       OK ] BasicTest.FactoryMethodsTest (1152 ms)
2025-08-26T22:23:01.4485471Z [ RUN      ] BasicTest.BasicStdTestCPU
2025-08-26T22:23:01.5386761Z Simple example: called once
2025-08-26T22:23:01.5717280Z Didn't throw, call_once will not attempt again
2025-08-26T22:23:01.5745067Z [       OK ] BasicTest.BasicStdTestCPU (126 ms)
2025-08-26T22:23:01.5745482Z [ RUN      ] BasicTest.TestForBlobResizeCPU
2025-08-26T22:23:01.5896901Z [       OK ] BasicTest.TestForBlobResizeCPU (15 ms)
2025-08-26T22:23:01.5897295Z [ RUN      ] BasicTest.TestForBlobStridesResizeCPU
2025-08-26T22:23:01.5934678Z [       OK ] BasicTest.TestForBlobStridesResizeCPU (3 ms)
2025-08-26T22:23:01.5951931Z [----------] 6 tests from BasicTest (7167 ms total)
2025-08-26T22:23:01.5952182Z 
2025-08-26T22:23:01.5963235Z [----------] Global test environment tear-down
2025-08-26T22:23:01.5983828Z [==========] 6 tests from 1 test suite ran. (7188 ms total)
2025-08-26T22:23:01.5995098Z [  PASSED  ] 6 tests.
2025-08-26T22:23:03.8536761Z ==169004== 
2025-08-26T22:23:03.8547134Z ==169004== HEAP SUMMARY:
2025-08-26T22:23:03.8547797Z ==169004==     in use at exit: 17,382,693 bytes in 16,365 blocks
2025-08-26T22:23:03.8548303Z ==169004==   total heap usage: 1,043,788 allocs, 1,027,423 frees, 274,278,336 bytes allocated
2025-08-26T22:23:03.8548702Z ==169004== 
2025-08-26T22:23:06.6802586Z ==169004== LEAK SUMMARY:
2025-08-26T22:23:06.6802966Z ==169004==    definitely lost: 288 bytes in 3 blocks
2025-08-26T22:23:06.6803340Z ==169004==    indirectly lost: 192 bytes in 2 blocks
2025-08-26T22:23:06.6803691Z ==169004==      possibly lost: 96,576 bytes in 181 blocks
2025-08-26T22:23:06.6804096Z ==169004==    still reachable: 17,285,637 bytes in 16,179 blocks
2025-08-26T22:23:06.6804463Z ==169004==         suppressed: 0 bytes in 0 blocks
2025-08-26T22:23:06.6804874Z ==169004== Rerun with --leak-check=full to see details of leaked memory
2025-08-26T22:23:06.6805225Z ==169004== 
2025-08-26T22:23:06.6805522Z ==169004== For lists of detected and suppressed errors, rerun with: -s
2025-08-26T22:23:06.6805988Z ==169004== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 4 from 4)
2025-08-26T22:23:06.9374266Z + [[ -x build/bin/tensor_interop_test ]]
2025-08-26T22:23:06.9375663Z + [[ -n '' ]]
2025-08-26T22:23:06.9375860Z + assert_git_not_dirty
2025-08-26T22:23:06.9376116Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-08-26T22:23:06.9376441Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-08-26T22:23:06.9383250Z ++ git status --porcelain
2025-08-26T22:23:06.9384419Z ++ grep -v '?? third_party'
2025-08-26T22:23:07.2593980Z ++ true
2025-08-26T22:23:07.2595541Z + git_status=
2025-08-26T22:23:07.2595944Z + [[ -n '' ]]
2025-08-26T22:23:07.2596177Z + test_libtorch 1
2025-08-26T22:23:07.2596402Z + local SHARD=1
2025-08-26T22:23:07.2596617Z + [[ default != \s\l\o\w ]]
2025-08-26T22:23:07.2596871Z + echo 'Testing libtorch'
2025-08-26T22:23:07.2597101Z Testing libtorch
2025-08-26T22:23:07.2597786Z + 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
2025-08-26T22:23:07.2612218Z + 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
2025-08-26T22:23:07.2624188Z + 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
2025-08-26T22:23:07.2637647Z + 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_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-08-26T22:23:07.2653191Z + 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
2025-08-26T22:23:07.2667398Z + 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_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.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_nvshmem.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
2025-08-26T22:23:07.2682929Z + 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
2025-08-26T22:23:07.2696006Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-08-26T22:23:07.2696582Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-08-26T22:23:07.2696972Z + [[ -z 1 ]]
2025-08-26T22:23:07.2697166Z + [[ 1 == \1 ]]
2025-08-26T22:23:07.2697463Z + test_libtorch_api
2025-08-26T22:23:07.2697755Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist
2025-08-26T22:23:07.2698262Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist
2025-08-26T22:23:07.3124300Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ...
2025-08-26T22:23:07.3198879Z Failed to download (trying next):
2025-08-26T22:23:07.3199362Z HTTP Error 404: Not Found
2025-08-26T22:23:07.3200058Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ...
2025-08-26T22:23:07.6472009Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ...
2025-08-26T22:23:07.6523144Z Failed to download (trying next):
2025-08-26T22:23:07.6523605Z HTTP Error 404: Not Found
2025-08-26T22:23:07.6524282Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ...
2025-08-26T22:23:07.6837753Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ...
2025-08-26T22:23:07.6890191Z Failed to download (trying next):
2025-08-26T22:23:07.6890530Z HTTP Error 404: Not Found
2025-08-26T22:23:07.6890979Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ...
2025-08-26T22:23:07.7982454Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ...
2025-08-26T22:23:07.8037285Z Failed to download (trying next):
2025-08-26T22:23:07.8037735Z HTTP Error 404: Not Found
2025-08-26T22:23:07.8038403Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ...
2025-08-26T22:23:07.8521623Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *asan* ]]
2025-08-26T22:23:07.8522084Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *slow-gradcheck* ]]
2025-08-26T22:23:07.8522425Z + OMP_NUM_THREADS=2
2025-08-26T22:23:07.8522786Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist
2025-08-26T22:23:07.8523319Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest'
2025-08-26T22:23:10.4536789Z /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.
2025-08-26T22:23:10.4538123Z   import pkg_resources
2025-08-26T22:23:12.2228148Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-08-26T22:23:12.2326045Z Found test times from artifacts
2025-08-26T22:23:12.2735503Z Found test times from artifacts
2025-08-26T22:23:12.2748686Z Running all tests
2025-08-26T22:23:12.2751850Z Running parallel tests on 3 processes
2025-08-26T22:23:12.2752209Z Name: tests to run (est. time: 0.0min)
2025-08-26T22:23:12.2752494Z   Serial tests (0):
2025-08-26T22:23:12.2752721Z   Parallel tests (1):
2025-08-26T22:23:12.2752951Z     cpp/test_api 1/1
2025-08-26T22:23:12.2753199Z Name: excluded (est. time: 0.0min)
2025-08-26T22:23:12.2753452Z   Serial tests (0):
2025-08-26T22:23:12.2753668Z   Parallel tests (0):
2025-08-26T22:23:12.2758283Z Running cpp/test_api 1/1 ... [2025-08-26 22:23:12.275629]
2025-08-26T22:23:12.2758847Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:23:12.2763055Z Executing ['pytest', '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin/test_api', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-bc07be0097b72406.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-08-26 22:23:12.276069]
2025-08-26T22:23:14.4955650Z 
2025-08-26T22:23:14.4956813Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_78e5b64a86a42610_.log
2025-08-26T22:23:14.4957386Z 
2025-08-26T22:23:15.7965194Z Uploading artifacts took 1.30 seconds
2025-08-26T22:23:18.6860932Z /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.
2025-08-26T22:23:18.6862603Z   import pkg_resources
2025-08-26T22:23:18.7092264Z /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.
2025-08-26T22:23:18.7093590Z   import pkg_resources
2025-08-26T22:23:18.7097254Z /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.
2025-08-26T22:23:18.7098556Z   import pkg_resources
2025-08-26T22:23:19.0506339Z Running cpp/test_api 1/1 ... [2025-08-26 22:23:19.050184]
2025-08-26T22:23:19.0506751Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-08-26T22:23:19.0509620Z Executing ['pytest', '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin/test_api', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-a5c80c8cf655425f.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-08-26 22:23:19.050631]
2025-08-26T22:26:28.8150191Z 
2025-08-26T22:26:28.8150976Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_15fac73f0dd789d5_.log
2025-08-26T22:26:28.8163809Z 
2025-08-26T22:26:29.8703239Z Running test batch 'tests to run' cost 197.59 seconds
2025-08-26T22:26:30.6166102Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *android* ]]
2025-08-26T22:26:30.6166589Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *cuda* ]]
2025-08-26T22:26:30.6166910Z + [[ -z 1 ]]
2025-08-26T22:26:30.6167111Z + [[ 1 == \2 ]]
2025-08-26T22:26:30.6167312Z + assert_git_not_dirty
2025-08-26T22:26:30.6167588Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-08-26T22:26:30.6167937Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-08-26T22:26:30.6173102Z ++ git status --porcelain
2025-08-26T22:26:30.6174439Z ++ grep -v '?? third_party'
2025-08-26T22:26:30.9394889Z ++ true
2025-08-26T22:26:30.9395316Z + git_status=
2025-08-26T22:26:30.9395571Z + [[ -n '' ]]
2025-08-26T22:26:30.9396590Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-08-26T22:26:30.9397741Z + sccache_epilogue
2025-08-26T22:26:30.9398140Z + echo '::group::Sccache Compilation Log'
2025-08-26T22:26:30.9398859Z ##[group]Sccache Compilation Log
2025-08-26T22:26:30.9399181Z + echo '=================== sccache compilation log ==================='
2025-08-26T22:26:30.9399585Z =================== sccache compilation log ===================
2025-08-26T22:26:30.9400154Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-08-26T22:26:30.9520866Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-08-26T22:26:30.9521501Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-08-26T22:26:30.9521950Z + sccache --show-stats
2025-08-26T22:26:30.9556237Z Compile requests                     704
2025-08-26T22:26:30.9556566Z Compile requests executed            165
2025-08-26T22:26:30.9556852Z Cache hits                           120
2025-08-26T22:26:30.9557129Z Cache hits (C/C++)                   120
2025-08-26T22:26:30.9557601Z Cache misses                          44
2025-08-26T22:26:30.9557883Z Cache misses (C/C++)                  44
2025-08-26T22:26:30.9558155Z Cache hits rate                    73.17 %
2025-08-26T22:26:30.9558573Z Cache hits rate (C/C++)            73.17 %
2025-08-26T22:26:30.9558856Z Cache timeouts                         0
2025-08-26T22:26:30.9559121Z Cache read errors                      0
2025-08-26T22:26:30.9559480Z Forced recaches                        0
2025-08-26T22:26:30.9559935Z Cache write errors                     0
2025-08-26T22:26:30.9560208Z Cache errors                           0
2025-08-26T22:26:30.9560481Z Compilations                          44
2025-08-26T22:26:30.9560755Z Compilation failures                   1
2025-08-26T22:26:30.9561027Z Non-cacheable compilations             0
2025-08-26T22:26:30.9561305Z Non-cacheable calls                    5
2025-08-26T22:26:30.9561578Z Non-compilation calls                534
2025-08-26T22:26:30.9561858Z Unsupported compiler calls             0
2025-08-26T22:26:30.9562151Z Average cache write                0.061 s
2025-08-26T22:26:30.9562396Z Average compiler                  11.161 s
2025-08-26T22:26:30.9562619Z Average cache read hit             0.050 s
2025-08-26T22:26:30.9562851Z Failed distributed compilations        0
2025-08-26T22:26:30.9563000Z 
2025-08-26T22:26:30.9563076Z Non-cacheable reasons:
2025-08-26T22:26:30.9563267Z -E                                     5
2025-08-26T22:26:30.9563422Z 
2025-08-26T22:26:30.9563601Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-26T22:26:30.9563942Z Version (client)                0.10.0
2025-08-26T22:26:30.9564169Z + sccache --stop-server
2025-08-26T22:26:30.9579314Z Stopping sccache server...
2025-08-26T22:26:30.9582121Z Compile requests                     704
2025-08-26T22:26:30.9582390Z Compile requests executed            165
2025-08-26T22:26:30.9582624Z Cache hits                           120
2025-08-26T22:26:30.9582833Z Cache hits (C/C++)                   120
2025-08-26T22:26:30.9583043Z Cache misses                          44
2025-08-26T22:26:30.9583250Z Cache misses (C/C++)                  44
2025-08-26T22:26:30.9583468Z Cache hits rate                    73.17 %
2025-08-26T22:26:30.9583693Z Cache hits rate (C/C++)            73.17 %
2025-08-26T22:26:30.9583916Z Cache timeouts                         0
2025-08-26T22:26:30.9584134Z Cache read errors                      0
2025-08-26T22:26:30.9584347Z Forced recaches                        0
2025-08-26T22:26:30.9584557Z Cache write errors                     0
2025-08-26T22:26:30.9584775Z Cache errors                           0
2025-08-26T22:26:30.9585123Z Compilations                          44
2025-08-26T22:26:30.9585442Z Compilation failures                   1
2025-08-26T22:26:30.9585870Z Non-cacheable compilations             0
2025-08-26T22:26:30.9586259Z Non-cacheable calls                    5
2025-08-26T22:26:30.9586520Z Non-compilation calls                534
2025-08-26T22:26:30.9586748Z Unsupported compiler calls             0
2025-08-26T22:26:30.9586976Z Average cache write                0.061 s
2025-08-26T22:26:30.9587197Z Average compiler                  11.161 s
2025-08-26T22:26:30.9587421Z Average cache read hit             0.050 s
2025-08-26T22:26:30.9587649Z Failed distributed compilations        0
2025-08-26T22:26:30.9587798Z 
2025-08-26T22:26:30.9587875Z Non-cacheable reasons:
2025-08-26T22:26:30.9588052Z -E                                     5
2025-08-26T22:26:30.9588297Z 
2025-08-26T22:26:30.9588476Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-26T22:26:30.9588807Z Version (client)                0.10.0
2025-08-26T22:26:30.9589036Z + echo ::endgroup::
2025-08-26T22:26:30.9589396Z ##[endgroup]
2025-08-26T22:26:30.9589557Z + cleanup_workspace
2025-08-26T22:26:30.9589899Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-08-26T22:26:30.9590489Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-08-26T22:26:30.9590927Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-08-26T22:26:30.9591284Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-08-26T22:26:30.9591659Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-08-26T22:26:30.9592074Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-08-26T22:26:30.9592421Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-08-26T22:26:31.8571690Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-08-26T22:26:31.8572087Z with:
2025-08-26T22:26:31.8572275Z   benchmark-results-dir: test/test-reports
2025-08-26T22:26:31.8572518Z   dry-run: false
2025-08-26T22:26:31.8572694Z   schema-version: v3
2025-08-26T22:26:31.8573070Z   github-token: ***
2025-08-26T22:26:31.8573251Z env:
2025-08-26T22:26:31.8573405Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:26:31.8573652Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:26:31.8574059Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:26:31.8574424Z ##[endgroup]
2025-08-26T22:26:31.8598140Z ##[group]Run set -eux
2025-08-26T22:26:31.8598364Z set -eux
2025-08-26T22:26:31.8598641Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-26T22:26:31.8598945Z 
2025-08-26T22:26:31.8599104Z DEVICE_NAME=""
2025-08-26T22:26:31.8599319Z DEVICE_TYPE=""
2025-08-26T22:26:31.8599495Z 
2025-08-26T22:26:31.8599663Z if command -v nvidia-smi; then
2025-08-26T22:26:31.8599990Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-08-26T22:26:31.8600398Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-08-26T22:26:31.8600779Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-08-26T22:26:31.8601084Z   python3 -mpip install torch==2.7.1
2025-08-26T22:26:31.8601330Z elif command -v rocminfo; then
2025-08-26T22:26:31.8601640Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-08-26T22:26:31.8602055Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-08-26T22:26:31.8602465Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-08-26T22:26:31.8602815Z   # GPU device name coming from rocminfo instead
2025-08-26T22:26:31.8603079Z   DEVICE_NAME=rocm
2025-08-26T22:26:31.8603537Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-08-26T22:26:31.8603888Z fi
2025-08-26T22:26:31.8604039Z 
2025-08-26T22:26:31.8604233Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-08-26T22:26:31.8604521Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-08-26T22:26:31.8615717Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:26:31.8616010Z env:
2025-08-26T22:26:31.8616175Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:26:31.8616426Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:26:31.8616824Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:26:31.8617188Z ##[endgroup]
2025-08-26T22:26:31.8650191Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-26T22:26:32.2842510Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T22:26:33.2930782Z Collecting boto3==1.35.33
2025-08-26T22:26:33.3086915Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-08-26T22:26:33.5934652Z Collecting psutil==7.0.0
2025-08-26T22:26:33.5985370Z   Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB)
2025-08-26T22:26:33.6258365Z Collecting pynvml==12.0.0
2025-08-26T22:26:33.6297136Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-08-26T22:26:34.6845868Z Collecting botocore<1.36.0,>=1.35.33
2025-08-26T22:26:34.6885068Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-08-26T22:26:34.8215980Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0)
2025-08-26T22:26:34.8600036Z Collecting s3transfer<0.11.0,>=0.10.0
2025-08-26T22:26:34.8635170Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-08-26T22:26:34.9095430Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-08-26T22:26:34.9126046Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-08-26T22:26:34.9223842Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1)
2025-08-26T22:26:34.9235680Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10)
2025-08-26T22:26:35.0331241Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0)
2025-08-26T22:26:35.1544078Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-08-26T22:26:35.6783668Z   Attempting uninstall: nvidia-ml-py
2025-08-26T22:26:35.6785604Z     Found existing installation: nvidia-ml-py 11.525.84
2025-08-26T22:26:35.6809551Z     Uninstalling nvidia-ml-py-11.525.84:
2025-08-26T22:26:35.7047381Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-08-26T22:26:35.7587023Z   Attempting uninstall: psutil
2025-08-26T22:26:35.7588831Z     Found existing installation: psutil 5.9.8
2025-08-26T22:26:35.7675181Z     Uninstalling psutil-5.9.8:
2025-08-26T22:26:35.7681836Z       Successfully uninstalled psutil-5.9.8
2025-08-26T22:26:35.9194410Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4
2025-08-26T22:26:36.0087444Z + DEVICE_NAME=
2025-08-26T22:26:36.0087748Z + DEVICE_TYPE=
2025-08-26T22:26:36.0087980Z + command -v nvidia-smi
2025-08-26T22:26:36.0088277Z + python3 -mpip install torch==2.7.1
2025-08-26T22:26:36.0088560Z /usr/bin/nvidia-smi
2025-08-26T22:26:36.2200615Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T22:26:36.4467736Z Collecting torch==2.7.1
2025-08-26T22:26:36.4648010Z   Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB)
2025-08-26T22:26:49.7630071Z Collecting sympy>=1.13.3
2025-08-26T22:26:49.7678219Z   Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB)
2025-08-26T22:26:49.8540224Z Collecting nvidia-cufile-cu12==1.11.1.6
2025-08-26T22:26:49.8578560Z   Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB)
2025-08-26T22:26:49.8952659Z Collecting nvidia-cusparselt-cu12==0.6.3
2025-08-26T22:26:49.8999159Z   Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB)
2025-08-26T22:26:51.7957695Z Collecting nvidia-nccl-cu12==2.26.2
2025-08-26T22:26:51.8033967Z   Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB)
2025-08-26T22:26:54.5678830Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3)
2025-08-26T22:26:54.5683616Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from torch==2.7.1) (4.15.0)
2025-08-26T22:26:54.5975103Z Collecting nvidia-cusparse-cu12==12.5.4.2
2025-08-26T22:26:54.6012587Z   Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB)
2025-08-26T22:26:57.5192223Z Collecting nvidia-nvjitlink-cu12==12.6.85
2025-08-26T22:26:57.5227013Z   Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB)
2025-08-26T22:26:57.7184574Z Collecting nvidia-cusolver-cu12==11.7.1.2
2025-08-26T22:26:57.7223569Z   Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB)
2025-08-26T22:26:59.4639877Z Collecting nvidia-curand-cu12==10.3.7.77
2025-08-26T22:26:59.4675358Z   Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB)
2025-08-26T22:27:00.0715270Z Collecting nvidia-cudnn-cu12==9.5.1.17
2025-08-26T22:27:00.0853990Z   Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB)
2025-08-26T22:27:08.6457570Z Collecting nvidia-cufft-cu12==11.3.0.4
2025-08-26T22:27:08.6540280Z   Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB)
2025-08-26T22:27:11.2241850Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77
2025-08-26T22:27:11.2290923Z   Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB)
2025-08-26T22:27:11.5343874Z Collecting networkx
2025-08-26T22:27:11.5380080Z   Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB)
2025-08-26T22:27:11.6104773Z Collecting fsspec
2025-08-26T22:27:11.6303677Z   Downloading fsspec-2025.7.0-py3-none-any.whl (199 kB)
2025-08-26T22:27:11.6595618Z Collecting nvidia-cuda-runtime-cu12==12.6.77
2025-08-26T22:27:11.6626206Z   Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB)
2025-08-26T22:27:11.7172071Z Collecting filelock
2025-08-26T22:27:11.7200373Z   Downloading filelock-3.19.1-py3-none-any.whl (15 kB)
2025-08-26T22:27:11.7528613Z Collecting triton==3.3.1
2025-08-26T22:27:11.7610244Z   Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB)
2025-08-26T22:27:13.2373243Z Collecting nvidia-nvtx-cu12==12.6.77
2025-08-26T22:27:13.2408624Z   Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB)
2025-08-26T22:27:13.2721308Z Collecting nvidia-cuda-cupti-cu12==12.6.80
2025-08-26T22:27:13.2768679Z   Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB)
2025-08-26T22:27:13.4340957Z Collecting nvidia-cublas-cu12==12.6.4.1
2025-08-26T22:27:13.4376688Z   Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB)
2025-08-26T22:27:19.5124884Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3.9/site-packages (from triton==3.3.1->torch==2.7.1) (59.6.0)
2025-08-26T22:27:19.5390261Z Collecting mpmath<1.4,>=1.1.0
2025-08-26T22:27:19.5425398Z   Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)
2025-08-26T22:27:19.6235982Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1)
2025-08-26T22:27:19.9267048Z Installing collected packages: nvidia-nvjitlink-cu12, nvidia-cusparse-cu12, nvidia-cublas-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusparselt-cu12, nvidia-cusolver-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, networkx, fsspec, filelock, torch
2025-08-26T22:27:27.5996568Z   WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-08-26T22:27:27.5997448Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-08-26T22:27:31.0959919Z   WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-08-26T22:27:31.0960734Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-08-26T22:27:57.1556739Z   WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-08-26T22:27:57.1557625Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-08-26T22:27:57.5804253Z Successfully installed filelock-3.19.1 fsspec-2025.7.0 mpmath-1.3.0 networkx-3.2.1 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1
2025-08-26T22:27:58.0932745Z + echo DEVICE_NAME=
2025-08-26T22:27:58.0933365Z + echo DEVICE_TYPE=
2025-08-26T22:27:58.0956920Z ##[group]Run set -eux
2025-08-26T22:27:58.0957132Z set -eux
2025-08-26T22:27:58.0957292Z 
2025-08-26T22:27:58.0957482Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-08-26T22:27:58.0957749Z   echo "Missing github-token input"
2025-08-26T22:27:58.0957990Z   exit 1
2025-08-26T22:27:58.0958150Z fi
2025-08-26T22:27:58.0965430Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:27:58.0965720Z env:
2025-08-26T22:27:58.0965887Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:27:58.0966151Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:27:58.0966556Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:27:58.0966922Z   DEVICE_NAME: 
2025-08-26T22:27:58.0967090Z   DEVICE_TYPE: 
2025-08-26T22:27:58.0967461Z   GITHUB_TOKEN: ***
2025-08-26T22:27:58.0967650Z ##[endgroup]
2025-08-26T22:27:58.0998580Z + [[ -z *** ]]
2025-08-26T22:27:58.1139373Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-08-26T22:27:58.1139689Z with:
2025-08-26T22:27:58.1139969Z   github-token: ***
2025-08-26T22:27:58.1140150Z env:
2025-08-26T22:27:58.1140305Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:27:58.1140549Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:27:58.1140963Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:27:58.1141331Z   DEVICE_NAME: 
2025-08-26T22:27:58.1141497Z   DEVICE_TYPE: 
2025-08-26T22:27:58.1141665Z ##[endgroup]
2025-08-26T22:27:58.1254660Z ##[group]Run set -eux
2025-08-26T22:27:58.1254905Z set -eux
2025-08-26T22:27:58.1255074Z 
2025-08-26T22:27:58.1255427Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-26T22:27:58.1262362Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:27:58.1262654Z env:
2025-08-26T22:27:58.1262940Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:27:58.1263239Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:27:58.1263650Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:27:58.1264052Z   DEVICE_NAME: 
2025-08-26T22:27:58.1264227Z   DEVICE_TYPE: 
2025-08-26T22:27:58.1264525Z   GITHUB_TOKEN: ***
2025-08-26T22:27:58.1264713Z ##[endgroup]
2025-08-26T22:27:58.1290266Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17248463647 i-08b62a2473888d64c
2025-08-26T22:27:59.4173715Z setting job-id=48947455375
2025-08-26T22:27:59.4174326Z setting job-name=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-26T22:27:59.4350365Z ##[group]Run set -eux
2025-08-26T22:27:59.4350571Z set -eux
2025-08-26T22:27:59.4350752Z 
2025-08-26T22:27:59.4351038Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-08-26T22:27:59.4351412Z   --schema-version "${SCHEMA_VERSION}" \
2025-08-26T22:27:59.4351666Z   --repo "${REPO}" \
2025-08-26T22:27:59.4351890Z   --head-branch "${HEAD_BRANCH}" \
2025-08-26T22:27:59.4352131Z   --head-sha "${HEAD_SHA}" \
2025-08-26T22:27:59.4352372Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-08-26T22:27:59.4352625Z   --run-attempt "${RUN_ATTEMPT}" \
2025-08-26T22:27:59.4352854Z   --job-id "${JOB_ID}" \
2025-08-26T22:27:59.4353195Z   --job-name "${JOB_NAME}"
2025-08-26T22:27:59.4360642Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:27:59.4360919Z env:
2025-08-26T22:27:59.4361087Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:27:59.4361330Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:27:59.4361901Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:27:59.4362272Z   DEVICE_NAME: 
2025-08-26T22:27:59.4362443Z   DEVICE_TYPE: 
2025-08-26T22:27:59.4362615Z   SCHEMA_VERSION: v3
2025-08-26T22:27:59.4362805Z   REPO: pytorch/pytorch
2025-08-26T22:27:59.4362997Z   HEAD_BRANCH: refs/heads/main
2025-08-26T22:27:59.4363230Z   HEAD_SHA: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T22:27:59.4363477Z   WORKFLOW_RUN_ID: 17248463647
2025-08-26T22:27:59.4363678Z   RUN_ATTEMPT: 1
2025-08-26T22:27:59.4363854Z   JOB_ID: 48947455375
2025-08-26T22:27:59.4364241Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-26T22:27:59.4364682Z ##[endgroup]
2025-08-26T22:27:59.4395599Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 262640fd220236042fbf4443cc163c8838c84c3d --workflow-id 17248463647 --run-attempt 1 --job-id 48947455375 --job-name 'linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)'
2025-08-26T22:27:59.4880517Z ##[group]Run set -eux
2025-08-26T22:27:59.4880719Z set -eux
2025-08-26T22:27:59.4880895Z 
2025-08-26T22:27:59.4881189Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-08-26T22:27:59.4887871Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:27:59.4888152Z env:
2025-08-26T22:27:59.4888318Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:27:59.4888569Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:27:59.4888968Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:27:59.4889338Z   DEVICE_NAME: 
2025-08-26T22:27:59.4889508Z   DEVICE_TYPE: 
2025-08-26T22:27:59.4889674Z ##[endgroup]
2025-08-26T22:27:59.4916125Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-08-26T22:28:00.3180300Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.)
2025-08-26T22:28:00.3181461Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-08-26T22:28:01.1750076Z ##[group]Run set -eux
2025-08-26T22:28:01.1750299Z set -eux
2025-08-26T22:28:01.1750467Z 
2025-08-26T22:28:01.1750661Z # TODO (huydhn): Implement this part
2025-08-26T22:28:01.1750944Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-08-26T22:28:01.1758389Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:28:01.1758683Z env:
2025-08-26T22:28:01.1758850Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:01.1759106Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:01.1759518Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:01.1759884Z   DEVICE_NAME: 
2025-08-26T22:28:01.1760056Z   DEVICE_TYPE: 
2025-08-26T22:28:01.1760214Z ##[endgroup]
2025-08-26T22:28:01.1792656Z + echo 'dependencies={}'
2025-08-26T22:28:01.1930274Z ##[group]Run set -eux
2025-08-26T22:28:01.1930495Z set -eux
2025-08-26T22:28:01.1930677Z 
2025-08-26T22:28:01.1930879Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-08-26T22:28:01.1931204Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-08-26T22:28:01.1931660Z   # We don't want the job to fail if the directory doesn't exist
2025-08-26T22:28:01.1931941Z   exit 0
2025-08-26T22:28:01.1932105Z fi
2025-08-26T22:28:01.1932260Z 
2025-08-26T22:28:01.1932438Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-08-26T22:28:01.1932931Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-26T22:28:01.1933355Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-26T22:28:01.1933669Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-26T22:28:01.1933927Z     --runners "${RUNNER_INFO}" \
2025-08-26T22:28:01.1934175Z     --dependencies "${DEPENDENCIES}" \
2025-08-26T22:28:01.1934414Z     --dry-run
2025-08-26T22:28:01.1934596Z else
2025-08-26T22:28:01.1934894Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-26T22:28:01.1935299Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-26T22:28:01.1935587Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-26T22:28:01.1935833Z     --runners "${RUNNER_INFO}" \
2025-08-26T22:28:01.1936075Z     --dependencies "${DEPENDENCIES}"
2025-08-26T22:28:01.1936299Z fi
2025-08-26T22:28:01.1943344Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:28:01.1943647Z env:
2025-08-26T22:28:01.1943812Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:01.1944060Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:01.1944460Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:01.1944839Z   DEVICE_NAME: 
2025-08-26T22:28:01.1945021Z   DEVICE_TYPE: 
2025-08-26T22:28:01.1945208Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-08-26T22:28:01.1945438Z   DRY_RUN: false
2025-08-26T22:28:01.1946427Z   BENCHMARK_METADATA: {"timestamp": 1756247279, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463647, "run_attempt": 1, "job_id": 48947455375}
2025-08-26T22:28:01.1947792Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 60, "extra_info": {"hostname": "ip-10-0-49-220.ec2.internal"}, "name": "cuda", "type": "NVIDIA L4", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]
2025-08-26T22:28:01.1948649Z   DEPENDENCIES: {}
2025-08-26T22:28:01.1948864Z ##[endgroup]
2025-08-26T22:28:01.1972812Z + [[ ! -d test/test-reports ]]
2025-08-26T22:28:01.1973056Z + [[ false == \t\r\u\e ]]
2025-08-26T22:28:01.1975217Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1756247279, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463647, "run_attempt": 1, "job_id": 48947455375}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 60, "extra_info": {"hostname": "ip-10-0-49-220.ec2.internal"}, "name": "cuda", "type": "NVIDIA L4", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]' --dependencies '{}'
2025-08-26T22:28:01.3549531Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'lazy/test_ts_opinfo'}], 'excluded': []} from test/test-reports/td_exclusions-dcd3b64b81a089a1bca9.json is not a benchmark record, skipping
2025-08-26T22:28:01.3551071Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-26T22:28:01.3601455Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 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{'test_file': 'profiler/test_execution_trace'}, {'test_file': 'test_futures'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_linalg'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'optim/test_optim'}, {'test_file': 'test_native_mha'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'test_vulkan'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_shape_ops'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_type_info'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'test_serialization'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_view_ops'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'test_mkldnn'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'nn/test_init'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'test_accelerator'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'test_function_schema'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'test_type_promotion'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_quantization'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_prims'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-d17ea60f53dcebb19a10.json is not a benchmark record, skipping
2025-08-26T22:28:01.3648989Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-26T22:28:01.3650161Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_complex_test'}], 'excluded': []} from test/test-reports/td_exclusions-abce5845675ef43139d6.json is not a benchmark record, skipping
2025-08-26T22:28:01.3651284Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-26T22:28:01.3652394Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_half_test'}], 'excluded': []} from test/test-reports/td_exclusions-e881f4e5f9edc5fbc2d2.json is not a benchmark record, skipping
2025-08-26T22:28:01.3653490Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-26T22:28:01.3654604Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_complex_math_test'}], 'excluded': []} from test/test-reports/td_exclusions-90c25535f32b770d862d.json is not a benchmark record, skipping
2025-08-26T22:28:01.3655743Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-26T22:28:01.3656834Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_cub_test'}], 'excluded': []} from test/test-reports/td_exclusions-103202ed4304fb89d3b7.json is not a benchmark record, skipping
2025-08-26T22:28:01.3657996Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-26T22:28:01.3659086Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/test_api'}], 'excluded': []} from test/test-reports/td_exclusions-4f2a67697e46beceea20.json is not a benchmark record, skipping
2025-08-26T22:28:01.3660274Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-26T22:28:01.3661387Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_atomic_ops_test'}], 'excluded': []} from test/test-reports/td_exclusions-229aa2aca070b4fe33c8.json is not a benchmark record, skipping
2025-08-26T22:28:01.3662490Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-26T22:28:01.3663594Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_generator_test'}], 'excluded': []} from test/test-reports/td_exclusions-4d71130b4999cfe374a0.json is not a benchmark record, skipping
2025-08-26T22:28:01.3664690Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-26T22:28:01.3667326Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/Dict_test'}, {'test_file': 'cpp/Dimname_test'}, {'test_file': 'cpp/NamedTensor_test'}, {'test_file': 'cpp/apply_utils_test'}, {'test_file': 'cpp/atest'}, {'test_file': 'cpp/basic'}, {'test_file': 'cpp/broadcast_test'}, {'test_file': 'cpp/cpu_generator_test'}, {'test_file': 'cpp/dlconvertor_test'}, {'test_file': 'cpp/extension_backend_test'}, {'test_file': 'cpp/lazy_tensor_test'}, {'test_file': 'cpp/legacy_vmap_test'}, {'test_file': 'cpp/native_test'}, {'test_file': 'cpp/operators_test'}, {'test_file': 'cpp/scalar_tensor_test'}, {'test_file': 'cpp/scalar_test'}, {'test_file': 'cpp/tensor_iterator_test'}, {'test_file': 'cpp/undefined_tensor_test'}, {'test_file': 'cpp/wrapdim_test'}], 'excluded': []} from test/test-reports/td_exclusions-5669b10d2e17b7880b27.json is not a benchmark record, skipping
2025-08-26T22:28:01.3669892Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-26T22:28:01.3671006Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_vectorized_test'}], 'excluded': []} from test/test-reports/td_exclusions-e2b8210e29efb48bcfba.json is not a benchmark record, skipping
2025-08-26T22:28:01.3672111Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-26T22:28:01.3673250Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_distributions_test'}], 'excluded': []} from test/test-reports/td_exclusions-f14355048e04e6595397.json is not a benchmark record, skipping
2025-08-26T22:28:01.3674362Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-26T22:28:01.3675478Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_optional_test'}], 'excluded': []} from test/test-reports/td_exclusions-5ccb2868d202bb09fe19.json is not a benchmark record, skipping
2025-08-26T22:28:01.3676624Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-26T22:28:01.3769358Z ##[group]Run cat test/**/*_toprint.log || true
2025-08-26T22:28:01.3769715Z cat test/**/*_toprint.log || true
2025-08-26T22:28:01.3776947Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:28:01.3777245Z env:
2025-08-26T22:28:01.3777408Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:01.3777662Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:01.3778065Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:01.3778439Z   DEVICE_NAME: 
2025-08-26T22:28:01.3778614Z   DEVICE_TYPE: 
2025-08-26T22:28:01.3778790Z ##[endgroup]
2025-08-26T22:28:01.3865861Z cat: 'test/**/*_toprint.log': No such file or directory
2025-08-26T22:28:01.3922124Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-08-26T22:28:01.3922436Z kill "$MONITOR_SCRIPT_PID"
2025-08-26T22:28:01.3928866Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:28:01.3929151Z env:
2025-08-26T22:28:01.3929320Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:01.3929562Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:01.3929977Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:01.3930337Z   DEVICE_NAME: 
2025-08-26T22:28:01.3930505Z   DEVICE_TYPE: 
2025-08-26T22:28:01.3930677Z   MONITOR_SCRIPT_PID: 63763
2025-08-26T22:28:01.3930867Z ##[endgroup]
2025-08-26T22:28:01.4052995Z Prepare all required actions
2025-08-26T22:28:01.4053356Z Getting action download info
2025-08-26T22:28:01.5495781Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-26T22:28:02.1104162Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-08-26T22:28:04.1903270Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-08-26T22:28:04.1903541Z with:
2025-08-26T22:28:04.1903858Z   file-suffix: test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375
2025-08-26T22:28:04.1904243Z   s3-bucket: gha-artifacts
2025-08-26T22:28:04.1904436Z env:
2025-08-26T22:28:04.1904593Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:04.1904833Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:04.1905248Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:04.1905614Z   DEVICE_NAME: 
2025-08-26T22:28:04.1905810Z   DEVICE_TYPE: 
2025-08-26T22:28:04.1905975Z ##[endgroup]
2025-08-26T22:28:04.2021595Z ##[group]Run # Remove any previous test jsons if they exist
2025-08-26T22:28:04.2021939Z # Remove any previous test jsons if they exist
2025-08-26T22:28:04.2022216Z rm -f test-jsons-*.zip
2025-08-26T22:28:04.2022532Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-08-26T22:28:04.2030445Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:28:04.2030729Z env:
2025-08-26T22:28:04.2030894Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:04.2031138Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:04.2031549Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:04.2031914Z   DEVICE_NAME: 
2025-08-26T22:28:04.2032077Z   DEVICE_TYPE: 
2025-08-26T22:28:04.2032384Z   FILE_SUFFIX: test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375
2025-08-26T22:28:04.2032738Z ##[endgroup]
2025-08-26T22:28:04.3213292Z   adding: test/test-reports/td_exclusions-dcd3b64b81a089a1bca9.json (deflated 16%)
2025-08-26T22:28:04.3217163Z   adding: test/test-reports/td_exclusions-d17ea60f53dcebb19a10.json (deflated 82%)
2025-08-26T22:28:04.3217777Z   adding: test/test-reports/td_exclusions-abce5845675ef43139d6.json (deflated 14%)
2025-08-26T22:28:04.3218359Z   adding: test/test-reports/td_exclusions-e881f4e5f9edc5fbc2d2.json (deflated 15%)
2025-08-26T22:28:04.3218915Z   adding: test/test-reports/td_exclusions-90c25535f32b770d862d.json (deflated 13%)
2025-08-26T22:28:04.3219629Z   adding: test/test-reports/td_exclusions-103202ed4304fb89d3b7.json (deflated 15%)
2025-08-26T22:28:04.3220184Z   adding: test/test-reports/td_exclusions-4f2a67697e46beceea20.json (deflated 18%)
2025-08-26T22:28:04.3220747Z   adding: test/test-reports/td_exclusions-229aa2aca070b4fe33c8.json (deflated 14%)
2025-08-26T22:28:04.3221296Z   adding: test/test-reports/td_exclusions-4d71130b4999cfe374a0.json (deflated 14%)
2025-08-26T22:28:04.3221832Z   adding: test/test-reports/td_exclusions-5669b10d2e17b7880b27.json (deflated 73%)
2025-08-26T22:28:04.3222378Z   adding: test/test-reports/td_exclusions-e2b8210e29efb48bcfba.json (deflated 14%)
2025-08-26T22:28:04.3222915Z   adding: test/test-reports/td_exclusions-f14355048e04e6595397.json (deflated 13%)
2025-08-26T22:28:04.3223456Z   adding: test/test-reports/td_exclusions-5ccb2868d202bb09fe19.json (deflated 14%)
2025-08-26T22:28:04.3328936Z ##[group]Run # Remove any previous test reports if they exist
2025-08-26T22:28:04.3329283Z # Remove any previous test reports if they exist
2025-08-26T22:28:04.3329559Z rm -f test-reports-*.zip
2025-08-26T22:28:04.3329925Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-08-26T22:28:04.3336550Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:28:04.3336831Z env:
2025-08-26T22:28:04.3336994Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:04.3337429Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:04.3337869Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:04.3338301Z   DEVICE_NAME: 
2025-08-26T22:28:04.3338468Z   DEVICE_TYPE: 
2025-08-26T22:28:04.3338773Z   FILE_SUFFIX: test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375
2025-08-26T22:28:04.3339133Z ##[endgroup]
2025-08-26T22:28:04.3463549Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-f9cb1035bf7266e7.xml (deflated 28%)
2025-08-26T22:28:04.3464454Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-a2fc9c86aa46dad3.xml (deflated 61%)
2025-08-26T22:28:04.3474726Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-1c790bbaff44d78c.xml (deflated 94%)
2025-08-26T22:28:04.3485751Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-e70227f968b6350e.xml (deflated 94%)
2025-08-26T22:28:04.3495249Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-325ee6009db82845.xml (deflated 94%)
2025-08-26T22:28:04.3502810Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-5805e059a5c2c46d.xml (deflated 95%)
2025-08-26T22:28:04.3515904Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-7ea1ba2fbe2190de.xml (deflated 95%)
2025-08-26T22:28:04.3528237Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-04181705c17c2b5b.xml (deflated 94%)
2025-08-26T22:28:04.3529228Z   adding: test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-bd825291a1c255e8.xml (deflated 81%)
2025-08-26T22:28:04.3544623Z   adding: test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-70123967acefd351.xml (deflated 85%)
2025-08-26T22:28:04.3545481Z   adding: test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-ca96331acd8a7295.xml (deflated 49%)
2025-08-26T22:28:04.3617150Z   adding: test/test-reports/python-pytest/test_utils/test_utils-abb153bd6349ca73.xml (deflated 98%)
2025-08-26T22:28:04.3641658Z   adding: test/test-reports/python-pytest/test_fx/test_fx-5d428d990c4cbdb1.xml (deflated 95%)
2025-08-26T22:28:04.3642492Z   adding: test/test-reports/python-pytest/test_transformers_privateuse1/test_transformers_privateuse1-80a05681129e3875.xml (deflated 53%)
2025-08-26T22:28:04.3648030Z   adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-71538ead9ca04d70.xml (deflated 94%)
2025-08-26T22:28:04.3648713Z   adding: test/test-reports/python-pytest/test_extension_utils/test_extension_utils-a90cb4d0980606ef.xml (deflated 52%)
2025-08-26T22:28:04.3649508Z   adding: test/test-reports/python-pytest/test_openreg/test_openreg-7141a5b777e950de.xml (deflated 80%)
2025-08-26T22:28:04.3650119Z   adding: test/test-reports/python-pytest/test_show_pickle/test_show_pickle-0b2010b646982f60.xml (deflated 37%)
2025-08-26T22:28:04.3664084Z   adding: test/test-reports/python-pytest/test_torch/test_torch-32c05d76f4f06cfd.xml (deflated 92%)
2025-08-26T22:28:04.3665324Z   adding: test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-95f302766fce73a6.xml (deflated 85%)
2025-08-26T22:28:04.3678540Z   adding: test/test-reports/python-pytest/test_overrides/test_overrides-8be1b4538a8e22a8.xml (deflated 95%)
2025-08-26T22:28:04.3679508Z   adding: test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-451926ef0f79747b.xml (deflated 72%)
2025-08-26T22:28:04.3680406Z   adding: test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-05a28aa848c49eb5.xml (deflated 82%)
2025-08-26T22:28:04.3681273Z   adding: test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-28b876dafae1b937.xml (deflated 89%)
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2025-08-26T22:28:04.4369963Z ##[group]Run # Remove any previous usage logs if they exist
2025-08-26T22:28:04.4370307Z # Remove any previous usage logs if they exist
2025-08-26T22:28:04.4370573Z rm -f logs-*.zip
2025-08-26T22:28:04.4370828Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-08-26T22:28:04.4371205Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-08-26T22:28:04.4377754Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:28:04.4378034Z env:
2025-08-26T22:28:04.4378198Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:04.4378444Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:04.4378848Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:04.4379217Z   DEVICE_NAME: 
2025-08-26T22:28:04.4379375Z   DEVICE_TYPE: 
2025-08-26T22:28:04.4379679Z   FILE_SUFFIX: test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375
2025-08-26T22:28:04.4380028Z ##[endgroup]
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2025-08-26T22:28:04.5237139Z   adding: test/test-reports/test_stateless_1.1_b0daf478a78ea073_.log (deflated 86%)
2025-08-26T22:28:04.5237673Z   adding: test/test-reports/functorch.test_ac_1.1_7c233ccbad3e1498_.log (deflated 66%)
2025-08-26T22:28:04.5239092Z   adding: test/test-reports/test_numpy_interop_1.1_7c7479b2fa929d0c_.log (deflated 84%)
2025-08-26T22:28:04.5239597Z   adding: test/test-reports/cpp.scalar_tensor_test_1.1_8ec54db28b92a591_.log (deflated 74%)
2025-08-26T22:28:04.5241003Z   adding: test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_4999c154f709ab70_.log (deflated 78%)
2025-08-26T22:28:04.5248618Z   adding: test/test-reports/torch_np.test_ufuncs_basic_1.1_7ff60666c7b767df_.log (deflated 95%)
2025-08-26T22:28:04.5249235Z   adding: test/test-reports/test_out_dtype_op_1.1_28833148a1aa16cc_.log (deflated 70%)
2025-08-26T22:28:04.5480409Z   adding: test/test-reports/test_binary_ufuncs_1.1_5a070170e71027d2_.log (deflated 96%)
2025-08-26T22:28:04.5569301Z   adding: test/test-reports/test_ops_1.8_a7f0410805dd2ba6_.log (deflated 92%)
2025-08-26T22:28:04.5625700Z   adding: test/test-reports/test_ops_gradients_1.2_3ee1a0d49fb21618_.log (deflated 94%)
2025-08-26T22:28:04.5626325Z   adding: test/test-reports/optim.test_lrscheduler_1.1_442bdce5fc235432_.log (deflated 36%)
2025-08-26T22:28:04.5683713Z   adding: test/test-reports/test_ops_gradients_2.2_3127811094ccb958_.log (deflated 94%)
2025-08-26T22:28:04.5702373Z   adding: test/test-reports/functorch.test_control_flow_2.2_7053663e9fa7d859_.log (deflated 94%)
2025-08-26T22:28:04.5714510Z   adding: test/test-reports/test_quantization_3.4_94d9299a6018732d_.log (deflated 87%)
2025-08-26T22:28:04.5715099Z   adding: test/test-reports/cpp.Dict_test_1.1_4eb9d2bd083cc0a8_.log (deflated 73%)
2025-08-26T22:28:04.5715678Z   adding: test/test-reports/cpp.Dimname_test_1.1_e6a2c0e5c0b11255_.log (deflated 73%)
2025-08-26T22:28:04.5716386Z   adding: test/test-reports/cpp.NamedTensor_test_1.1_b40b1f5a01eac753_.log (deflated 73%)
2025-08-26T22:28:04.5716982Z   adding: test/test-reports/cpp.apply_utils_test_1.1_835d25117801bf34_.log (deflated 73%)
2025-08-26T22:28:04.5717562Z   adding: test/test-reports/cpp.atest_1.1_165f84965e49c1ce_.log (deflated 73%)
2025-08-26T22:28:04.5718283Z   adding: test/test-reports/cpp.basic_1.1_b2f9f7d609cc8ce1_.log (deflated 73%)
2025-08-26T22:28:04.5718855Z   adding: test/test-reports/cpp.broadcast_test_1.1_44a0e0141ff6332b_.log (deflated 73%)
2025-08-26T22:28:04.5719522Z   adding: test/test-reports/cpp.cpu_generator_test_1.1_f291d67024145a07_.log (deflated 73%)
2025-08-26T22:28:04.5720118Z   adding: test/test-reports/cpp.dlconvertor_test_1.1_77df49942ca66feb_.log (deflated 73%)
2025-08-26T22:28:04.5720755Z   adding: test/test-reports/cpp.extension_backend_test_1.1_0bec1dec5fe509ee_.log (deflated 73%)
2025-08-26T22:28:04.5721379Z   adding: test/test-reports/cpp.lazy_tensor_test_1.1_6ccb13b4c3771544_.log (deflated 73%)
2025-08-26T22:28:04.5721969Z   adding: test/test-reports/cpp.legacy_vmap_test_1.1_8816c6e81903afa1_.log (deflated 73%)
2025-08-26T22:28:04.5722545Z   adding: test/test-reports/cpp.native_test_1.1_ffa0b5c94add3b62_.log (deflated 73%)
2025-08-26T22:28:04.5723111Z   adding: test/test-reports/cpp.operators_test_1.1_67590653a385a2c7_.log (deflated 73%)
2025-08-26T22:28:04.5723717Z   adding: test/test-reports/cpp.scalar_tensor_test_1.1_f8459902705f87c6_.log (deflated 73%)
2025-08-26T22:28:04.5724306Z   adding: test/test-reports/cpp.scalar_test_1.1_ab552a7e37ab042d_.log (deflated 73%)
2025-08-26T22:28:04.5724924Z   adding: test/test-reports/cpp.tensor_iterator_test_1.1_343ae216546d9e04_.log (deflated 73%)
2025-08-26T22:28:04.5725557Z   adding: test/test-reports/cpp.undefined_tensor_test_1.1_521a91c54627e36d_.log (deflated 73%)
2025-08-26T22:28:04.5726150Z   adding: test/test-reports/cpp.wrapdim_test_1.1_1ca7932621740481_.log (deflated 73%)
2025-08-26T22:28:04.5726652Z   adding: test/test-reports/cpp.dlconvertor_test_1.1_43787cd873aa19e1_.log (deflated 75%)
2025-08-26T22:28:04.5727129Z   adding: test/test-reports/cpp.tensor_iterator_test_1.1_a5c1a21e33cf87a4_.log (deflated 88%)
2025-08-26T22:28:04.5727590Z   adding: test/test-reports/cpp.Dimname_test_1.1_4358f28e0ceb1ad7_.log (deflated 73%)
2025-08-26T22:28:04.5728047Z   adding: test/test-reports/cpp.NamedTensor_test_1.1_ece46db4a3656b9e_.log (deflated 77%)
2025-08-26T22:28:04.5728502Z   adding: test/test-reports/cpp.lazy_tensor_test_1.1_2ff28d184108a085_.log (deflated 72%)
2025-08-26T22:28:04.5729106Z   adding: test/test-reports/cpp.Dict_test_1.1_08c5761fad75c3f0_.log (deflated 84%)
2025-08-26T22:28:04.5729668Z   adding: test/test-reports/cpp.apply_utils_test_1.1_911f38356feb33e8_.log (deflated 75%)
2025-08-26T22:28:04.5730364Z   adding: test/test-reports/cpp.atest_1.1_ae80370a8fd170d5_.log (deflated 77%)
2025-08-26T22:28:04.5731053Z   adding: test/test-reports/cpp.operators_test_1.1_934d4f60793411e5_.log (deflated 73%)
2025-08-26T22:28:04.5731681Z   adding: test/test-reports/cpp.cuda_half_test_1.1_ba5d9939345e22b0_.log (deflated 73%)
2025-08-26T22:28:04.5732154Z   adding: test/test-reports/cpp.cuda_half_test_1.1_cadeffa108b080c5_.log (deflated 72%)
2025-08-26T22:28:04.5732638Z   adding: test/test-reports/cpp.cuda_vectorized_test_1.1_6240c7277163efa0_.log (deflated 73%)
2025-08-26T22:28:04.5733159Z   adding: test/test-reports/cpp.cuda_vectorized_test_1.1_f542f98acdcf5c29_.log (deflated 72%)
2025-08-26T22:28:04.5733677Z   adding: test/test-reports/cpp.cuda_distributions_test_1.1_ebd71873df08ee1c_.log (deflated 73%)
2025-08-26T22:28:04.5734223Z   adding: test/test-reports/cpp.cuda_distributions_test_1.1_c8bd168f2bf65383_.log (deflated 74%)
2025-08-26T22:28:04.5734724Z   adding: test/test-reports/cpp.cuda_optional_test_1.1_453880c877685dd4_.log (deflated 73%)
2025-08-26T22:28:04.5735235Z   adding: test/test-reports/cpp.cuda_optional_test_1.1_451f71532792d63f_.log (deflated 72%)
2025-08-26T22:28:04.5879217Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-08-26T22:28:04.5879610Z # Remove any previous debugging artifacts if they exist
2025-08-26T22:28:04.5879902Z rm -f debug-*.zip
2025-08-26T22:28:04.5880114Z if [ -d 'test/debug' ]; then
2025-08-26T22:28:04.5880380Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-08-26T22:28:04.5880630Z fi
2025-08-26T22:28:04.5887200Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:28:04.5887500Z env:
2025-08-26T22:28:04.5887660Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:04.5887958Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:04.5888362Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:04.5888726Z   DEVICE_NAME: 
2025-08-26T22:28:04.5888889Z   DEVICE_TYPE: 
2025-08-26T22:28:04.5889188Z   FILE_SUFFIX: test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375
2025-08-26T22:28:04.5889537Z ##[endgroup]
2025-08-26T22:28:04.6090846Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T22:28:04.6091085Z with:
2025-08-26T22:28:04.6091243Z   s3-bucket: gha-artifacts
2025-08-26T22:28:04.6091479Z   s3-prefix: pytorch/pytorch/17248463647/1/artifact

2025-08-26T22:28:04.6091727Z   retention-days: 14
2025-08-26T22:28:04.6091906Z   if-no-files-found: warn
2025-08-26T22:28:04.6092095Z   path: test-jsons-*.zip
2025-08-26T22:28:04.6092276Z   name: artifact
2025-08-26T22:28:04.6092450Z   region: us-east-1
2025-08-26T22:28:04.6092612Z env:
2025-08-26T22:28:04.6092760Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:04.6093011Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:04.6093416Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:04.6093874Z   DEVICE_NAME: 
2025-08-26T22:28:04.6094039Z   DEVICE_TYPE: 
2025-08-26T22:28:04.6094230Z ##[endgroup]
2025-08-26T22:28:05.1466197Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T22:28:05.1466827Z With the provided path, there will be 1 file uploaded
2025-08-26T22:28:05.1467248Z Uploading to s3 prefix: pytorch/pytorch/17248463647/1/artifact
2025-08-26T22:28:05.1526767Z Starting upload of test-jsons-test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375.zip
2025-08-26T22:28:05.2777734Z Finished upload of test-jsons-test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375.zip
2025-08-26T22:28:05.3124739Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T22:28:05.3124996Z with:
2025-08-26T22:28:05.3125163Z   s3-bucket: gha-artifacts
2025-08-26T22:28:05.3125421Z   s3-prefix: pytorch/pytorch/17248463647/1/artifact

2025-08-26T22:28:05.3125684Z   retention-days: 14
2025-08-26T22:28:05.3125875Z   if-no-files-found: error
2025-08-26T22:28:05.3126075Z   path: test-reports-*.zip
2025-08-26T22:28:05.3126266Z   name: artifact
2025-08-26T22:28:05.3126434Z   region: us-east-1
2025-08-26T22:28:05.3126598Z env:
2025-08-26T22:28:05.3126753Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:05.3127131Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:05.3127544Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:05.3127914Z   DEVICE_NAME: 
2025-08-26T22:28:05.3128083Z   DEVICE_TYPE: 
2025-08-26T22:28:05.3128251Z ##[endgroup]
2025-08-26T22:28:05.5911159Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T22:28:05.5911628Z With the provided path, there will be 1 file uploaded
2025-08-26T22:28:05.5912040Z Uploading to s3 prefix: pytorch/pytorch/17248463647/1/artifact
2025-08-26T22:28:05.5971335Z Starting upload of test-reports-test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375.zip
2025-08-26T22:28:05.8003554Z Finished upload of test-reports-test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375.zip
2025-08-26T22:28:05.8336308Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T22:28:05.8336563Z with:
2025-08-26T22:28:05.8336725Z   s3-bucket: gha-artifacts
2025-08-26T22:28:05.8336987Z   s3-prefix: pytorch/pytorch/17248463647/1/artifact

2025-08-26T22:28:05.8337249Z   retention-days: 14
2025-08-26T22:28:05.8337431Z   if-no-files-found: ignore
2025-08-26T22:28:05.8337621Z   path: logs-*.zip
2025-08-26T22:28:05.8337793Z   name: artifact
2025-08-26T22:28:05.8337961Z   region: us-east-1
2025-08-26T22:28:05.8338126Z env:
2025-08-26T22:28:05.8338275Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:05.8338707Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:05.8339140Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:05.8339593Z   DEVICE_NAME: 
2025-08-26T22:28:05.8339759Z   DEVICE_TYPE: 
2025-08-26T22:28:05.8339914Z ##[endgroup]
2025-08-26T22:28:06.1099505Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T22:28:06.1100073Z With the provided path, there will be 1 file uploaded
2025-08-26T22:28:06.1100494Z Uploading to s3 prefix: pytorch/pytorch/17248463647/1/artifact
2025-08-26T22:28:06.1159622Z Starting upload of logs-test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375.zip
2025-08-26T22:28:06.3404143Z Finished upload of logs-test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375.zip
2025-08-26T22:28:06.3729967Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T22:28:06.3730359Z with:
2025-08-26T22:28:06.3730601Z   s3-bucket: gha-artifacts
2025-08-26T22:28:06.3731007Z   s3-prefix: pytorch/pytorch/17248463647/1/artifact

2025-08-26T22:28:06.3731434Z   retention-days: 14
2025-08-26T22:28:06.3731751Z   if-no-files-found: ignore
2025-08-26T22:28:06.3732091Z   path: debug-*.zip
2025-08-26T22:28:06.3732380Z   name: artifact
2025-08-26T22:28:06.3732670Z   region: us-east-1
2025-08-26T22:28:06.3732942Z env:
2025-08-26T22:28:06.3733195Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:06.3733588Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:06.3734288Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:06.3734947Z   DEVICE_NAME: 
2025-08-26T22:28:06.3735229Z   DEVICE_TYPE: 
2025-08-26T22:28:06.3735506Z ##[endgroup]
2025-08-26T22:28:06.6453890Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-08-26T22:28:06.6783702Z ##[group]Run # shellcheck disable=SC2156
2025-08-26T22:28:06.6784033Z # shellcheck disable=SC2156
2025-08-26T22:28:06.6784466Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-08-26T22:28:06.6791931Z shell: /usr/bin/bash -e {0}
2025-08-26T22:28:06.6792152Z env:
2025-08-26T22:28:06.6792315Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:06.6792566Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:06.6792979Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:06.6793348Z   DEVICE_NAME: 
2025-08-26T22:28:06.6793515Z   DEVICE_TYPE: 
2025-08-26T22:28:06.6793677Z ##[endgroup]
2025-08-26T22:28:07.0383334Z Prepare all required actions
2025-08-26T22:28:07.0383683Z Getting action download info
2025-08-26T22:28:07.1825091Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-08-26T22:28:07.1825352Z with:
2025-08-26T22:28:07.1825509Z   job_id: 48947455375
2025-08-26T22:28:07.1825895Z   job_name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-26T22:28:07.1826319Z   workflow_name: trunk
2025-08-26T22:28:07.1826501Z   workflow_run_id: 17248463647
2025-08-26T22:28:07.1826699Z   workflow_attempt: 1
2025-08-26T22:28:07.1826877Z env:
2025-08-26T22:28:07.1827048Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:07.1827285Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:07.1827692Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:07.1828059Z   DEVICE_NAME: 
2025-08-26T22:28:07.1828225Z   DEVICE_TYPE: 
2025-08-26T22:28:07.1828384Z ##[endgroup]
2025-08-26T22:28:07.1940678Z ##[group]Run echo "workflow_id: 17248463647"
2025-08-26T22:28:07.1940951Z echo "workflow_id: 17248463647"
2025-08-26T22:28:07.1941192Z echo "workflow_attempt: 1"
2025-08-26T22:28:07.1941416Z echo "workflow_Name: trunk"
2025-08-26T22:28:07.1941639Z echo "job_id: 48947455375"
2025-08-26T22:28:07.1942095Z echo "job_name:  linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)"
2025-08-26T22:28:07.1942560Z echo "artifact_prefix: "
2025-08-26T22:28:07.1943122Z python3 --version
2025-08-26T22:28:07.1950328Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:28:07.1950602Z env:
2025-08-26T22:28:07.1950767Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:07.1951006Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:07.1951404Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:07.1951779Z   DEVICE_NAME: 
2025-08-26T22:28:07.1951943Z   DEVICE_TYPE: 
2025-08-26T22:28:07.1952102Z ##[endgroup]
2025-08-26T22:28:07.1983128Z workflow_id: 17248463647
2025-08-26T22:28:07.1983497Z workflow_attempt: 1
2025-08-26T22:28:07.1983734Z workflow_Name: trunk
2025-08-26T22:28:07.1983953Z job_id: 48947455375
2025-08-26T22:28:07.1984442Z job_name:  linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)
2025-08-26T22:28:07.1984949Z artifact_prefix: 
2025-08-26T22:28:07.1999041Z Python 3.9.23
2025-08-26T22:28:07.2126044Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T22:28:07.2126269Z with:
2025-08-26T22:28:07.2126420Z   shell: bash
2025-08-26T22:28:07.2126586Z   timeout_minutes: 5
2025-08-26T22:28:07.2126763Z   max_attempts: 5
2025-08-26T22:28:07.2126939Z   retry_wait_seconds: 30
2025-08-26T22:28:07.2127335Z   command: set -eu
python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7

2025-08-26T22:28:07.2127767Z   polling_interval_seconds: 1
2025-08-26T22:28:07.2127973Z   warning_on_retry: true
2025-08-26T22:28:07.2128169Z   continue_on_error: false
2025-08-26T22:28:07.2128363Z env:
2025-08-26T22:28:07.2128521Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:07.2128753Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:07.2129150Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:07.2129510Z   DEVICE_NAME: 
2025-08-26T22:28:07.2129672Z   DEVICE_TYPE: 
2025-08-26T22:28:07.2129828Z ##[endgroup]
2025-08-26T22:28:07.5489622Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T22:28:07.7296046Z Collecting python-dateutil==2.8.2
2025-08-26T22:28:07.7449029Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-08-26T22:28:08.6561261Z Collecting boto3==1.35.42
2025-08-26T22:28:08.6639860Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-08-26T22:28:09.1857823Z Collecting pandas==2.1.3
2025-08-26T22:28:09.1937385Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-08-26T22:28:09.4769459Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-08-26T22:28:09.4784715Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-08-26T22:28:09.4825287Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4)
2025-08-26T22:28:09.4829937Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0)
2025-08-26T22:28:09.4833611Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99)
2025-08-26T22:28:10.2970415Z Collecting numpy<2,>=1.22.4
2025-08-26T22:28:10.3010864Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-08-26T22:28:10.7787091Z Collecting tzdata>=2022.1
2025-08-26T22:28:10.7823488Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-08-26T22:28:10.8132335Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-08-26T22:28:10.8160049Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1)
2025-08-26T22:28:10.8163379Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0)
2025-08-26T22:28:10.8211020Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10)
2025-08-26T22:28:10.8308549Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0)
2025-08-26T22:28:10.8395875Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0)
2025-08-26T22:28:10.8399378Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0)
2025-08-26T22:28:11.1126255Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-08-26T22:28:15.6597184Z   Attempting uninstall: boto3
2025-08-26T22:28:15.6598434Z     Found existing installation: boto3 1.35.33
2025-08-26T22:28:15.6702284Z     Uninstalling boto3-1.35.33:
2025-08-26T22:28:15.6716467Z       Successfully uninstalled boto3-1.35.33
2025-08-26T22:28:15.7830240Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-08-26T22:28:16.2879914Z Command completed after 1 attempt(s).
2025-08-26T22:28:16.3029292Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-26T22:28:16.3029796Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-26T22:28:16.3030155Z   --workflow-run-id "17248463647" \
2025-08-26T22:28:16.3030413Z   --workflow-name "trunk" \
2025-08-26T22:28:16.3030645Z   --workflow-run-attempt "1" \
2025-08-26T22:28:16.3030875Z   --job-id "48947455375" \
2025-08-26T22:28:16.3031320Z   --job-name "linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)" \
2025-08-26T22:28:16.3031772Z   --local-path "" \
2025-08-26T22:28:16.3031982Z   --artifact-prefix ""
2025-08-26T22:28:16.3040247Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:28:16.3040531Z env:
2025-08-26T22:28:16.3040695Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:16.3041151Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:16.3041674Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:16.3042039Z   DEVICE_NAME: 
2025-08-26T22:28:16.3042207Z   DEVICE_TYPE: 
2025-08-26T22:28:16.3042377Z ##[endgroup]
2025-08-26T22:28:19.6968924Z repo: pytorch/pytorch
2025-08-26T22:28:19.6969322Z Search for test log in s3 bucket: ossci-utilization
2025-08-26T22:28:19.6969890Z Downloading logs-test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375.zip
2025-08-26T22:28:19.6970680Z extracting usage_log.txt from zip file logs-test-default-1-5-linux.g6.4xlarge.experimental.nvidia.gpu_48947455375.zip
2025-08-26T22:28:19.6971310Z Converted Log Model: UtilizationMetadata:
2025-08-26T22:28:19.6972677Z  UtilizationMetadata(level='metadata', workflow_id='17248463647', job_id='48947455375', workflow_name='trunk', job_name='linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1756240078, gpu_count=1, cpu_count=16, gpu_type='pynvml', error=None)
2025-08-26T22:28:19.6974089Z [Db Segments] detected pytest cmd: 28, generated segments: 28
2025-08-26T22:28:19.6974464Z [db model] Peek db timeseries 
2025-08-26T22:28:19.6974713Z :{
2025-08-26T22:28:19.6974902Z     "created_at": 1756247299,
2025-08-26T22:28:19.6975153Z     "type": "utilization",
2025-08-26T22:28:19.6975381Z     "tags": [
2025-08-26T22:28:19.6975569Z         "record"
2025-08-26T22:28:19.6975763Z     ],
2025-08-26T22:28:19.6975954Z     "time_stamp": 1756240078,
2025-08-26T22:28:19.6976524Z     "repo": "pytorch/pytorch",
2025-08-26T22:28:19.6976788Z     "workflow_id": 17248463647,
2025-08-26T22:28:19.6977035Z     "run_attempt": 1,
2025-08-26T22:28:19.6977252Z     "job_id": 48947455375,
2025-08-26T22:28:19.6977485Z     "workflow_name": "trunk",
2025-08-26T22:28:19.6977991Z     "job_name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, linux.g6.4xlarge.experimental.nvidia.gpu)",
2025-08-26T22:28:19.6978524Z     "json_data": "{}"
2025-08-26T22:28:19.6978742Z }
2025-08-26T22:28:19.6979191Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463647/1/48947455375/metadata
2025-08-26T22:28:19.6980005Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463647/1/48947455375/metadata 
2025-08-26T22:28:19.6981029Z Writing 1439 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463647/1/48947455375/time_series
2025-08-26T22:28:19.6981882Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463647/1/48947455375/time_series 
2025-08-26T22:28:19.7945456Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-08-26T22:28:19.7945817Z with:
2025-08-26T22:28:19.7945974Z env:
2025-08-26T22:28:19.7946130Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:19.7946379Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:19.7946802Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:19.7947165Z   DEVICE_NAME: 
2025-08-26T22:28:19.7947328Z   DEVICE_TYPE: 
2025-08-26T22:28:19.7947491Z ##[endgroup]
2025-08-26T22:28:19.8041866Z ##[group]Run set -eou pipefail
2025-08-26T22:28:19.8042139Z set -eou pipefail
2025-08-26T22:28:19.8042332Z 
2025-08-26T22:28:19.8042596Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-08-26T22:28:19.8043188Z for _ in $(seq 1440); do
2025-08-26T22:28:19.8043440Z     # Break if no ssh session exists anymore
2025-08-26T22:28:19.8043722Z     if [ "$(who)" = "" ]; then
2025-08-26T22:28:19.8043930Z       break
2025-08-26T22:28:19.8044095Z     fi
2025-08-26T22:28:19.8044253Z     echo "."
2025-08-26T22:28:19.8044434Z     sleep 5
2025-08-26T22:28:19.8044593Z done
2025-08-26T22:28:19.8051843Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:28:19.8052227Z env:
2025-08-26T22:28:19.8052388Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:19.8052623Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:19.8053028Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:19.8053389Z   DEVICE_NAME: 
2025-08-26T22:28:19.8053569Z   DEVICE_TYPE: 
2025-08-26T22:28:19.8053744Z ##[endgroup]
2025-08-26T22:28:19.8080906Z Holding runner for 2 hours until all ssh sessions have logged out
2025-08-26T22:28:19.8518306Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T22:28:19.8518738Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T22:28:19.8519044Z # shellcheck disable=SC2046
2025-08-26T22:28:19.8519295Z docker stop $(docker ps -q) || true
2025-08-26T22:28:19.8519537Z # Prune all of the docker images
2025-08-26T22:28:19.8519771Z docker system prune -af
2025-08-26T22:28:19.8527204Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:28:19.8527675Z env:
2025-08-26T22:28:19.8527930Z   GIT_DEFAULT_BRANCH: main
2025-08-26T22:28:19.8528350Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-26T22:28:19.8528792Z   DOCKER_CONTAINER_ID: e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:19.8529169Z   DEVICE_NAME: 
2025-08-26T22:28:19.8529339Z   DEVICE_TYPE: 
2025-08-26T22:28:19.8529490Z ##[endgroup]
2025-08-26T22:28:35.5228976Z e44f48fbfae3
2025-08-26T22:28:36.5256130Z Deleted Containers:
2025-08-26T22:28:36.5256856Z e44f48fbfae326e4bca9bbeb9b079c9cb2231a035973ef8fe6065e16b69816d4
2025-08-26T22:28:36.5258939Z 
2025-08-26T22:28:46.3648855Z Deleted Images:
2025-08-26T22:28:46.3649442Z untagged: public.ecr.aws/docker/library/python:3.13
2025-08-26T22:28:46.3650498Z untagged: public.ecr.aws/docker/library/python@sha256:18634e45b29c0dd1a9a3a3d0781f9f8a221fe32ee7a853db01e9120c710ef535
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2025-08-26T22:28:46.3656444Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T22:28:46.3657325Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:15ab42f58480117f0df9dc7154a36918844249ea780984fb625c72fb117d274f
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2025-08-26T22:28:46.3800084Z Post job cleanup.
2025-08-26T22:28:46.3851315Z Post job cleanup.
2025-08-26T22:28:46.4758812Z [command]/usr/bin/git version
2025-08-26T22:28:46.4813382Z git version 2.47.1
2025-08-26T22:28:46.4846380Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/e19928a3-863a-45f8-b8d1-58391bcde09a/.gitconfig'
2025-08-26T22:28:46.4855905Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/e19928a3-863a-45f8-b8d1-58391bcde09a' before making global git config changes
2025-08-26T22:28:46.4856957Z Adding repository directory to the temporary git global config as a safe directory
2025-08-26T22:28:46.4860709Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T22:28:46.4905216Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-26T22:28:46.4941970Z [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' || :"
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2025-08-26T22:28:47.0761131Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-26T22:28:47.0772503Z http.https://github.com/.extraheader
2025-08-26T22:28:47.0782834Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-08-26T22:28:47.0814028Z [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' || :"
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2025-08-26T22:28:47.3984617Z http.https://github.com/.extraheader
2025-08-26T22:28:47.4029403Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T22:28:47.4076956Z http.https://github.com/.extraheader
2025-08-26T22:28:47.4127792Z Entering 'third_party/ittapi'
2025-08-26T22:28:47.4170816Z http.https://github.com/.extraheader
2025-08-26T22:28:47.4213211Z Entering 'third_party/kineto'
2025-08-26T22:28:47.4258260Z http.https://github.com/.extraheader
2025-08-26T22:28:47.4300109Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T22:28:47.4346669Z http.https://github.com/.extraheader
2025-08-26T22:28:47.4389118Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T22:28:47.4436571Z http.https://github.com/.extraheader
2025-08-26T22:28:47.4483604Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T22:28:47.4527902Z http.https://github.com/.extraheader
2025-08-26T22:28:47.4572382Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T22:28:47.4615725Z http.https://github.com/.extraheader
2025-08-26T22:28:47.4658099Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T22:28:47.4701977Z http.https://github.com/.extraheader
2025-08-26T22:28:47.4743318Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T22:28:47.4787454Z http.https://github.com/.extraheader
2025-08-26T22:28:47.4836151Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T22:28:47.4880919Z http.https://github.com/.extraheader
2025-08-26T22:28:47.4923772Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T22:28:47.4968812Z http.https://github.com/.extraheader
2025-08-26T22:28:47.5011871Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T22:28:47.5057444Z http.https://github.com/.extraheader
2025-08-26T22:28:47.5102112Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T22:28:47.5146774Z http.https://github.com/.extraheader
2025-08-26T22:28:47.5194329Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T22:28:47.5239951Z http.https://github.com/.extraheader
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2025-08-26T22:28:47.5327983Z http.https://github.com/.extraheader
2025-08-26T22:28:47.5374551Z Entering 'third_party/kleidiai'
2025-08-26T22:28:47.5418775Z http.https://github.com/.extraheader
2025-08-26T22:28:47.5461735Z Entering 'third_party/mimalloc'
2025-08-26T22:28:47.5506346Z http.https://github.com/.extraheader
2025-08-26T22:28:47.5550765Z Entering 'third_party/nlohmann'
2025-08-26T22:28:47.5595342Z http.https://github.com/.extraheader
2025-08-26T22:28:47.5636797Z Entering 'third_party/onnx'
2025-08-26T22:28:47.5680200Z http.https://github.com/.extraheader
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2025-08-26T22:28:47.5781949Z http.https://github.com/.extraheader
2025-08-26T22:28:47.5828798Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T22:28:47.5878163Z http.https://github.com/.extraheader
2025-08-26T22:28:47.5921512Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T22:28:47.5966479Z http.https://github.com/.extraheader
2025-08-26T22:28:47.6010624Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T22:28:47.6051953Z http.https://github.com/.extraheader
2025-08-26T22:28:47.6093409Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T22:28:47.6138252Z http.https://github.com/.extraheader
2025-08-26T22:28:47.6181485Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T22:28:47.6225931Z http.https://github.com/.extraheader
2025-08-26T22:28:47.6268082Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T22:28:47.6310389Z http.https://github.com/.extraheader
2025-08-26T22:28:47.6354013Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T22:28:47.6397373Z http.https://github.com/.extraheader
2025-08-26T22:28:47.6440353Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T22:28:47.6481914Z http.https://github.com/.extraheader
2025-08-26T22:28:47.6523351Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T22:28:47.6566221Z http.https://github.com/.extraheader
2025-08-26T22:28:47.6611059Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T22:28:47.6658637Z http.https://github.com/.extraheader
2025-08-26T22:28:47.6705184Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T22:28:47.6750864Z http.https://github.com/.extraheader
2025-08-26T22:28:47.6811016Z Entering 'third_party/pocketfft'
2025-08-26T22:28:47.6856875Z http.https://github.com/.extraheader
2025-08-26T22:28:47.6900304Z Entering 'third_party/protobuf'
2025-08-26T22:28:47.6948593Z http.https://github.com/.extraheader
2025-08-26T22:28:47.6998050Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T22:28:47.7040689Z http.https://github.com/.extraheader
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2025-08-26T22:28:47.7126373Z http.https://github.com/.extraheader
2025-08-26T22:28:47.7169905Z Entering 'third_party/psimd'
2025-08-26T22:28:47.7215879Z http.https://github.com/.extraheader
2025-08-26T22:28:47.7258830Z Entering 'third_party/pthreadpool'
2025-08-26T22:28:47.7304102Z http.https://github.com/.extraheader
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2025-08-26T22:28:47.7389117Z http.https://github.com/.extraheader
2025-08-26T22:28:47.7435027Z Entering 'third_party/python-peachpy'
2025-08-26T22:28:47.7479771Z http.https://github.com/.extraheader
2025-08-26T22:28:47.7521457Z Entering 'third_party/sleef'
2025-08-26T22:28:47.7567179Z http.https://github.com/.extraheader
2025-08-26T22:28:47.7613775Z Entering 'third_party/tensorpipe'
2025-08-26T22:28:47.7658678Z http.https://github.com/.extraheader
2025-08-26T22:28:47.7700562Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T22:28:47.7745905Z http.https://github.com/.extraheader
2025-08-26T22:28:47.7786656Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T22:28:47.7829688Z http.https://github.com/.extraheader
2025-08-26T22:28:47.7872771Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T22:28:47.7916705Z http.https://github.com/.extraheader
2025-08-26T22:28:47.7958996Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T22:28:47.8006328Z http.https://github.com/.extraheader
2025-08-26T22:28:47.8049454Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T22:28:47.8093188Z http.https://github.com/.extraheader
2025-08-26T22:28:47.8235901Z A job completed hook has been configured by the self-hosted runner administrator
2025-08-26T22:28:47.8264450Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-08-26T22:28:47.8271123Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T22:28:47.8271410Z ##[endgroup]
2025-08-26T22:28:54.7441269Z Cleaning up orphan processes